Share buybacks in Ericsson during the period October 5 - October 9, 2026
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Share buybacks in Ericsson during the period October 5 - October 9, 2026

STOCKHOLM, Oct. 12, 2026 /PRNewswire/ -- During the period October 5 - October 9, 2026, Telefonaktiebolaget LM Ericsson (publ) ("Ericsson") (LEI code 549300W9JLPW15XIFM52) repurchased own Class B shares (ISIN: SE0000108656) as follows:

The share repurchases are a part of the share buyback program of up to SEK 15,000,000,000 which Ericsson announced on April 16, 2026, and which runs between April 23, 2026, and March 31, 2027, at the latest. The Board of Directors intends to propose to the 2027 Annual General Meeting that the repurchased shares, other than those used to fulfil Ericsson's obligations under its share-related incentive programs, are cancelled.

The share buyback program is executed in accordance with the Regulation (EU) No 596/2014 of the European Parliament and of the Council on market abuse (MAR) and the Commission Delegated Regulation (EU) 2016/1052 of 8 March 2016 supplementing MAR (the Safe Harbour Regulation).

All acquisitions have been carried out on Nasdaq Stockholm by Goldman Sachs Bank Europe SE on behalf of Ericsson. A full breakdown of the transactions is attached to this announcement.

Following the repurchases above, Ericsson's holding of treasury stock amounts to 125,805,951 Class B shares. There are in total 3,371,351,735 shares in Ericsson, 261,755,983 shares of Class A and 3,109,595,752 shares of Class B.

NOTES TO EDITORS:

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MORE INFORMATION AT:

Ericsson Newsroom

[email protected] (+46 10 719 69 92)

[email protected] (+46 10 719 00 00)

Investors

Daniel Morris, Vice President, Head of Investor Relations

Phone: +44 7386 657217

E-mail: [email protected]

Lena Häggblom, Director, Investor Relations

Phone: +46 72 593 27 78

E-mail: [email protected]

Media

Ralf Bagner, Head of Media Relations

Phone: +46761284789

E-mail: [email protected]

ABOUT ERICSSON:

Ericsson's high-performing, programmable networks provide connectivity for billions of people every day. For 150 years, we've been pioneers in creating technology for communication. We offer mobile communication and connectivity solutions for service providers and enterprises. Together with our customers and partners, we make the digital world of tomorrow a reality. www.ericsson.com

This information was brought to you by Cision http://news.cision.com

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<p>STOCKHOLM, Oct. 12, 2026 /PRNewswire/ -- During the period October 5 - October 9, 2026, Telefonaktiebolaget LM Ericsson (publ) ("Ericsson") (LEI code 549300W9JLPW15XIFM52) repurchased own Class B shares (ISIN: SE0000108656) as follows: Date Aggregated daily volume (number of shares)...</p>

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ASE Technology Holding Co., Ltd. Announces Monthly Net Revenues*
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ASE Technology Holding Co., Ltd. Announces Monthly Net Revenues*

TAIPEI, Oct. 12, 2026 /PRNewswire/ -- ASE Technology Holding Co., Ltd. (NYSE: ASX, TAIEX: 3711, "ASEH" or the "Company"), announces its unaudited consolidated net revenues for September and 3rd quarter of 2026.

CONSOLIDATED NET REVENUES (UNAUDITED)

Net revenues for ATM assembly, testing and material business are as follows:

ATM NET REVENUES (UNAUDITED)

*This press release is intended to comply with Taiwan regulatory requirements.

Safe Harbor Notice:

This press release contains "forward-looking statements" within the meaning of Section 27A of the United States Securities Act of 1933, as amended, and Section 21E of the United States Securities Exchange Act of 1934, as amended. These statements are made under the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995. Although these forward-looking statements, which may include statements regarding our future results of operations, financial condition or business prospects, are based on our own information and information from other sources we believe to be reliable, you should not place undue reliance on these forward-looking statements, which apply only as of the date of this press release. The words "anticipate," "believe," "estimate," "expect," "intend," "plan" and similar expressions, as they relate to us, are intended to identify these forward-looking statements in this press release. These forward-looking statements are necessarily estimates reflecting the best judgment of our senior management and our actual results of operations, financial condition or business prospects may differ materially from those expressed or implied by the forward-looking statements for reasons including, among others, risks associated with cyclicality and market conditions in the semiconductor or electronic industry; changes in our regulatory environment, including our ability to comply with new or stricter environmental regulations and to resolve environmental liabilities; demand for the outsourced semiconductor packaging, testing and electronic manufacturing services we offer and for such outsourced services generally; the highly competitive semiconductor or manufacturing industry we are involved in; our ability to introduce new technologies in order to remain competitive; international business activities; our business strategy; our future expansion plans and capital expenditures; the strained relationship between the Republic of China and the People's Republic of China; general economic and political conditions; the recent shift in United States trade policies; possible disruptions in commercial activities caused by natural or human-induced disasters; fluctuations in foreign currency exchange rates; and other factors. For a discussion of these risks and other factors, please see the documents we file from time to time with the Securities and Exchange Commission, including the 2025 Annual Report on Form 20-F filed on April 1, 2026.

Investor Relations Contact:

SOURCE ASE Technology Holding Co., Ltd.

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<p>TAIPEI, Oct. 12, 2026 /PRNewswire/ -- ASE Technology Holding Co., Ltd. (NYSE: ASX, TAIEX: 3711, "ASEH" or the "Company"), announces its unaudited consolidated net revenues for September and 3rd quarter of 2026. CONSOLIDATED NET REVENUES (UNAUDITED) Sept Aug Sept Sequential YoY (NT$...</p>

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Can Advanced Medicine Flourish Beyond Big City Limits? "All Access hosted by Andy Garcia" Examines Colquitt Regional Health System
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ATLANTA, Oct. 12, 2026 /PRNewswire/ -- An upcoming Public Television feature explores how an innovative regional medical center in South Georgia is rewriting the narrative around rural healthcare availability and clinical quality.

Across the nation, many patients assume top-tier specialized care exists only within major metropolitan medical centers. Colquitt Regional Health System is changing that perception through a deliberate, long-term commitment to clinical excellence, modern infrastructure, and robust provider recruitment in Moultrie, Georgia. By cultivating graduate medical education programs and expanding local specialty services, the organization has turned a former community hospital into an active hub for medical training and advanced patient care.

Filmed on September 21, 2026, All Access camera crews filmed a segment highlighting how localized investment directly improves patient outcomes. The feature examines the critical role of data diversity and local workforce development, illustrating how rural health networks can sustainably grow while maintaining deep roots in the populations they serve. Viewers will see how targeted facility expansions and intentional culture shifts create an enduring destination for top medical talent, ensuring communities retain essential care locally for generations to come.

"At Colquitt Regional, we believe where you live should never determine the quality of care you receive," said Colquitt Regional Health System President and CEO Jim Matney. "We have made a commitment to invest in advanced technology, recruit exceptional physicians, and train the next generation of providers right here in South Georgia. Our goal isn't simply to bring more healthcare to our community—it's to create a health system where patients can access the same level of advanced care they would expect to find in a major metropolitan area, while remaining close to home. That commitment is shaping the future of healthcare in our region and ensuring that our community has access to exceptional care for generations to come."

Rural communities across the nation frequently struggle with severe physician shortages, limited access to specialized treatments, and the threat of facility closures. Maintaining high clinical standards requires a deliberate approach to modernizing facilities and recruiting talented specialists. Organizations that invest in localized residency programs help bridge this divide by training physicians who are uniquely equipped to address regional health needs, ultimately creating a more resilient system for underserved populations.

Integrating high-tech tools and advanced clinical systems into regional hospitals often presents integration challenges, sometimes termed a black box dilemma when aligning new technologies with existing clinical workflows. Overcoming these operational hurdles ensures that clinical data reflects diverse patient populations, leading to more accurate diagnostic trends and better overall treatment paradigms.

About "All Access hosted by Andy Garcia": "All Access hosted by Andy Garcia" is an independent short-form educational documentary series created for Public Television stations nationwide. The program highlights groundbreaking achievements, industry shifts, and inspiring human stories across healthcare, business, science, and education. Hosted by acclaimed actor Andy Garcia, the show provides viewers with clear, informative perspectives on complex modern issues. To learn more about the series, visit allaccessptv.com.

About Colquitt Regional Health System: Colquitt Regional Health System is a regional healthcare provider located in Moultrie, Georgia, dedicated to offering comprehensive clinical services, advanced technology, and patient-centered care. Through ongoing investments in facilities, graduate medical education, and specialty services, the health system serves as a destination for quality care and medical training throughout South Georgia. For additional information about their services and vision for rural healthcare, visit colquittregional.com.

SOURCE All Access

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<p>ATLANTA, Oct. 12, 2026 /PRNewswire/ -- An upcoming Public Television feature explores how an innovative regional medical center in South Georgia is rewriting the narrative around rural healthcare availability and clinical quality. Across the nation, many patients assume top-tier...</p>

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A Win for Defenders: CrowdStrike and NVIDIA Extend Security Across the AI Stack
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AI agents are already operating across the enterprise. As they become more autonomous in accessing data, using credentials, executing code, and acting across critical systems, the security boundary is changing with them.

The question is no longer whether enterprises will adopt agents. It's how they give agents greater autonomy without giving up control.

Today, NVIDIA introduced the NVIDIA Open Agent Safety Platform, an open source platform and reference design that brings multi-layered security controls across the software, runtime, and infrastructure where agents operate. CrowdStrike and NVIDIA are collaborating on this effort to extend our work together deeper into the agentic stack.

Model safeguards are essential, but they aren't the entire security boundary. When agents operate with identities, credentials, and access to critical systems, enterprises need controls that work where agents run and act.

Agent safety is a cybersecurity problem. It demands a full-stack approach.

That's the approach CrowdStrike and NVIDIA are advancing together. We are empowering AI to transform cyber defense and securing the AI transforming the enterprise.

The Agent Can't Be Its Own Security Boundary

An agent shouldn't be responsible for enforcing its own security boundaries.

We already understand this everywhere else in cybersecurity. We don't rely on applications or workloads to determine whether they've been compromised. We establish independent controls around them to govern access, monitor behavior, and enforce policy.

Agents are no different. Models and agent harnesses can guide behavior. But once an agent starts interacting with real systems, we need least privilege, isolation, explicit authorization, observability, and enforcement outside the agent itself. An agent should be treated as a privileged identity with permissions bounded by policy, not expanded simply because it determines it needs more access.

These aren't new security principles. The interesting problem is applying them to autonomous systems operating at machine speed.

New Control Points and Additional Data to Secure AI

NVIDIA Open Agent Safety Platform brings together security across multiple layers of the agentic stack. At the software layer, technologies like NVIDIA OpenShell provide an open source secure runtime that governs how agents execute, what they can access, and where inference occurs. NVIDIA Sentry adds an independent watchdog running on NVIDIA BlueField-4 DPUs that uses NVIDIA DOCA for out-of-band, in-silicon monitoring of agent activity and security policy enforcement. It provides attested telemetry, verifies agent identity, and enforces Zero Trust access to data, tools, APIs, and services. During agent testing and evaluation, NVIDIA Sentry can quarantine agents in milliseconds. NVIDIA Vera CPUs provide high-performance compute for agentic workloads.

These technologies establish independent security boundaries closer to where agents run and act. The CrowdStrike Falcon® platform connects that activity to the broader security context of the enterprise.

Broader Context Helps Turn Signals into Protection

Consider something as simple as an agent accessing a file, calling an API, or making a network connection. None of those actions is inherently malicious. What matters is the context. Which agent is acting? Under what identity? From which workload? What data is it accessing? Is the behavior expected? What else is happening across the environment?

The new control points and signals across NVIDIA Open Agent Safety Platform become even more valuable when connected to the broader business security context. The Falcon platform provides that context by bringing together security across endpoint, identity, cloud, data, and AI, combining rich security telemetry with adversary intelligence and years of frontline expertise.

This gives defenders and autonomous defense agents the context to understand agent activity alongside everything else happening across the enterprise, and the ability to detect and stop malicious behavior from a unified security platform.

Building on Our Collaboration with NVIDIA

With the recent launch of CrowdStrike Falcon® Guardian, we have extended protection across the AI attack surface, including runtime protection for AI agents. Earlier this year, we unveiled a Secure-by-Design AI Blueprint with NVIDIA, bringing Falcon protection together with NVIDIA OpenShell to embed governance, visibility, and control into the AI agent stack. At the infrastructure layer, our existing integration of NVIDIA DOCA Argus telemetry with CrowdStrike Falcon® Next-Gen SIEM brings infrastructure-level telemetry into the Falcon platform.

Now we are advancing this work across the agentic stack by bringing independent controls closer to where agents operate with the enterprise-wide visibility, intelligence, and protection of the Falcon platform. That's how we turn agent activity into security context, and security context into protection at machine speed.

It Takes a Crowd to Secure AI

The next phase of AI will be defined by increasingly autonomous systems operating across the enterprise, making decisions, using tools, and acting on our behalf.

A single layer cannot secure that future. Models and harnesses can guide behavior. Runtimes can establish boundaries. Hardware can provide independent enforcement. Cybersecurity has to connect these layers to what is happening across the enterprise with the outcome of securing the inputs and the outputs.

What’s more, no single technology or company will secure that future. It will take an ecosystem with the best models, infrastructure, runtimes, and security technologies working together. That's the vision behind our work with NVIDIA, and why we'll continue extending security across the AI stack while bringing that context together through the Falcon platform.

Machine-speed threats require machine-speed defense. The frontier will continue to move. Our job in cybersecurity is to make sure it moves securely.

Additional Resources

- Read more about collaboration between CrowdStrike and NVIDIA in this blog: CrowdStrike Scales AI-Native Agents Across Falcon Exposure Management with NVIDIA

- Read this press release: CrowdStrike Unveils Secure-by-Design AI Blueprint for AI Agents Built with NVIDIA

- Learn more about how CrowdStrike is helping to secure the AI era: CrowdStrike Joins the Open Secure AI Alliance to Advance AI Safety and Security

- Read about CrowdStrike SafeMind, the first agentic system for defenders, built with NVIDIA Nemotron: CrowdStrike Launches Frontier Models for Cybersecurity, Created with NVIDIA

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Copy, Paste, Compromised: How ClickFix Attacks Work and How CrowdStrike Stops Them
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Consider this hypothetical scenario: An employee tries to join what looks like a routine video meeting. The page loads, but instead of the meeting, they see an error message along with a helpful fix: Copy the provided command, open the Windows Run dialog, paste it, and press Enter.

The meeting never starts. The command does something else entirely.

This is ClickFix, a social engineering technique that turns the victim into the mechanism for executing an attack. CrowdStrike Intelligence has observed adversaries including STARDUST CHOLLIMA and VOODOO BEAR using ClickFix in real-world operations. Further, the CrowdStrike 2026 Global Threat Report documented a 563% increase in incidents involving fake CAPTCHA lures in 2025.

ClickFix is effective because it exploits something security teams cannot simply patch: a user's instinct to solve a problem. In this blog post, we explain what ClickFix is, how it works, and how CrowdStrike stops these attacks.

What Is ClickFix?

Instead of convincing someone to open a suspicious attachment, ClickFix gives them a seemingly legitimate reason to execute a command themselves. The “error” it presents might claim a meeting application needs to be repaired, a browser needs to be verified, or a CAPTCHA needs to be completed.

Whatever the pretext, the objective is the same: Move malicious instructions from an adversary-controlled webpage into a trusted operating system tool.

A typical ClickFix chain looks like this:

- The adversary creates the problem: The victim lands on a compromised site displaying a fake error, CAPTCHA, or system message. Depending on the sophistication of the attack, the adversary may use a phishing email or more targeted techniques to get them there.

- The website provides the "solution": The page instructs the user to copy a command. In some variants, malicious JavaScript may place the command directly onto the clipboard.

- The user crosses the security boundary: The victim is instructed to copy a command and paste it into the Windows Run dialog, PowerShell, Terminal, or another trusted system utility.

- The operating system executes the attacker's instructions: The command may launch PowerShell, VBScript, or another legitimate interpreter to retrieve or execute additional payloads.

- The initial command becomes an intrusion. Follow-on activity can include malware deployment, credential theft, persistence, command and control, data theft, or additional access into the environment, CrowdStrike observations show.

Why ClickFix Works

ClickFix takes advantage of common everyday enterprise behaviors. Employees regularly deal with broken meetings, authentication challenges, CAPTCHA prompts, browser errors, and application issues. A prompt telling someone to perform a quick troubleshooting step can feel far less suspicious than an unexpected executable or email attachment.

The technique also relies on tools users recognize and trust. PowerShell, Windows Run, command shells, and scripting engines are legitimate parts of the operating system, and ClickFix takes advantage of them rather than asking the user to launch an unfamiliar program.

Another defining characteristic is how the victim performs the critical action. Traditional phishing often depends on getting someone to download or open something malicious. ClickFix asks the victim to transfer the attack from the webpage into the operating system and initiate execution. By prompting the victim to run the command, the adversary evades security tools solely built to stop malicious files.

The lure itself can also change quickly. A campaign does not need to depend on one long-lived phishing domain or one recognizable template. Adversaries can rotate domains, compromise legitimate websites, change the brands they impersonate, or swap a fake meeting error for a fake CAPTCHA while keeping the underlying technique the same.

CrowdStrike Intelligence observed this kind of infrastructure diversity in VOODOO BEAR activity, including websites of diverse Ukrainian entities (such as local government, energy, agriculture, and logistics entities) likely compromised to serve fake CAPTCHAs. The appearance of the attack may change, but the core behavior remains consistent: Convince the user to copy, paste, and execute.

STARDUST CHOLLIMA: From Fake Meeting to Malware

CrowdStrike Intelligence observed a ClickFix scenario likely involving STARDUST CHOLLIMA that demonstrates how quickly a routine browser interaction can lead to endpoint compromise. In July 2026, STARDUST CHOLLIMA very likely targeted an employee at a financial services entity using infrastructure masquerading as a video conferencing site.

When the employee attempted to join the meeting, they almost certainly encountered a fake technical issue accompanied by a command presented as the fix. Running that command triggered a PowerShell- and VBScript-based infection chain that deployed two previously unknown malware families: GeniexLoader and GeniexRAT. The lure worked by making a malicious command look like a reasonable fix for an ordinary meeting problem.

VOODOO BEAR: A Different Approach with Fake CAPTCHAs

VOODOO BEAR demonstrates how this technique can be packaged inside a different lure. In May and June 2026, CrowdStrike Falcon® Complete managed detection and response (MDR) detected likely VOODOO BEAR intrusions affecting employees believed to be Ukrainian at organizations in France, the United States, and Canada.

CrowdStrike Intelligence assesses that VOODOO BEAR almost certainly used ClickFix social engineering to trick users into executing PowerShell commands that downloaded a VBScript payload. In this case, instead of using a fake meeting lure, the adversary compromised Ukrainian websites. Ukrainian visitors to those sites were likely served fake CAPTCHAs.

The details of the lure were different, but the underlying mechanism was the same. The attacker tricked the user into turning a browser interaction into execution on the endpoint.

How CrowdStrike Stops ClickFix

ClickFix blurs the boundaries between phishing, browser activity, endpoint execution, and identity compromise. Once the victim executes the command, the activity moves into the endpoint. If credentials or tokens are stolen, it can become an identity attack. If the adversary uses those credentials to access SaaS applications, cloud environments, or additional systems, the intrusion expands again.

That progression is part of what makes ClickFix challenging to treat as a single-point security problem. The initial browser interaction is only the beginning of the chain. Each subsequent stage creates a new opportunity for the adversary to establish persistence, steal information, or move further into the environment.

This makes the browser an important control point. With CrowdStrike Falcon® Seraphic® Enterprise Browser, CrowdStrike can extend protection into the browser session where ClickFix begins, while connecting that activity with endpoint, identity, cloud, and SOC telemetry as the attack progresses.

But it’s not the only capability defending against ClickFix. Here’s how Falcon platform modules disrupt this attack:

Before execution: Falcon Seraphic Enterprise Browser provides visibility and enforcement inside the browser. This helps identify malicious web behavior and disrupt the copy-and-paste mechanism that ClickFix depends on.

At execution: CrowdStrike Falcon® Prevent and CrowdStrike Falcon® Insight XDR can identify and prevent suspicious PowerShell, VBScript, process, command-line, and other behavioral activity associated with the attack chain.

After initial access: CrowdStrike Falcon® Identity Threat Protection can help detect and stop credential abuse and lateral movement. CrowdStrike Falcon® Next-Gen SIEM can correlate activity across endpoint, identity, browser, cloud, and other telemetry so analysts see a connected intrusion rather than isolated events.

And across the entire environment, CrowdStrike Falcon® Adversary OverWatch™ and Falcon Complete add continuous threat hunting, investigation, containment, and remediation.

The value is defense in depth. If one stage succeeds, the Falcon platform is built to provide additional opportunities to prevent, detect, and respond as the intrusion progresses.

The Takeaway

Defending against ClickFix therefore requires more than identifying a bad URL or teaching users not to paste commands from websites. Organizations need controls that can disrupt the lure, stop malicious execution, identify credential abuse, connect activity across domains, and respond before initial access becomes a wider compromise.

With Falcon Seraphic Enterprise Browser integrated into the CrowdStrike Falcon® platform, CrowdStrike extends protection to where ClickFix begins: the browser. From the initial browser interaction through endpoint execution and identity abuse, the Falcon platform provides multiple opportunities to break the attack chain before it becomes a breach.

Additional Resources

- Learn more about Falcon Seraphic Enterprise Browser.

- Learn how Falcon Seraphic Enterprise Browser stops web attacks.

- Read the CrowdStrike Falcon Seraphic Enterprise Browser Data Sheet.

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CrowdStrike Expands Federal SOC Modernization Through CISA-Funded SIEMaaS
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CISA has called SIEM-as-a-service (SIEMaaS) “the Rosetta Stone” for visibility for good reason. Federal defenders need to see what is happening across increasingly complex environments, understand what matters, and turn that context into action before an adversary achieves its objective.

CrowdStrike Falcon® Next-Gen SIEM is now part of CISA’s SIEMaaS technology stack, which gives eligible agencies a fully funded path to modernize security operations through the Continuous Diagnostics and Mitigation (CDM) Dynamic and Evolving Federal Enterprise Network Defense (DEFEND) Group F shared service. Participating agencies can now deploy Falcon Next-Gen SIEM and extend existing CrowdStrike endpoint detection and response (EDR) investments into agency-wide security operations without using their own program funding.

This offering is available to CDM agencies that participate in CISA’s Persistent Access Capability program and already use CrowdStrike for EDR. Through the DEFEND F mechanism, Falcon Next-Gen SIEM SKUs are acquired on behalf of participating agencies.

For those agencies, Falcon Next-Gen SIEM can serve as the agency-wide SIEM to help teams unify security data, reduce operational complexity, and detect, investigate, prioritize, and respond to threats faster.

Turn Visibility into Action

Visibility alone is not the outcome. Federal security teams need context to distinguish signals from noise, understand malicious activity across their environment, and stay ahead of adversaries.

Falcon Next-Gen SIEM, delivered through the FedRAMP High-authorized CrowdStrike Falcon® platform in GovCloud, creates a unified security data layer across CrowdStrike and third-party telemetry. It brings together endpoint, identity, cloud, network, edge, and other security data while applying CrowdStrike threat intelligence, AI-powered analytics, and adversary-driven detections.

Falcon Platform Indicators of Attack (IOAs) extend CrowdStrike-managed behavioral detections across Falcon and third-party telemetry to help agencies identify emerging adversary behavior while reducing the burden of continually creating and maintaining detection logic.

Reduce the Cost and Burden of SOC Modernization

Federal CISOs face a difficult equation: Adversaries are moving faster while security teams contend with growing data volumes, siloed tools, limited resources, and legacy architectures.

The average eCrime breakout time was only 29 minutes in 2025, according to the CrowdStrike 2026 Global Threat Report, and AI-powered adversaries continue to accelerate. This makes machine-speed investigation essential. Falcon Next-Gen SIEM helps agencies meet that challenge by unifying security data and adversary intelligence, accelerating investigation, and giving defenders the context to act before an adversary achieves its goal.

For agencies already running CrowdStrike EDR modules, DEFEND F SIEMaaS provides a funded path to extend the security foundation already in place into broader SOC modernization. Falcon Next-Gen SIEM helps agencies gain the visibility, context, and speed to turn security data into action. Its capabilities include:

- Modernizing the SOC without using agency program funding: Falcon Next-Gen SIEM SKUs are acquired on behalf of participating agencies through DEFEND F SIEMaaS.

- Reducing SIEM cost and complexity: Retain security data for months or years at up to 80% less cost than legacy SIEMs through an index-free architecture.

- Putting adversary intelligence into action: Apply CrowdStrike threat intelligence and platform IOAs across first- and third-party security data.

- Accelerating investigations: Correlate activity across security domains and reduce time spent moving between tools and manually reconstructing attacks.

- Increasing analyst capacity: CrowdStrike AI capabilities automate repetitive SOC work while preserving analyst control. Teams can use natural language to surface context and intelligence, direct workflows, and accelerate investigations through Response Agent guidance trained on CrowdStrike Falcon® Complete managed detection and response (MDR) expertise. Documented customer outcomes include 3x faster mean time to respond and 70% less manual work.

- Building on existing EDR investments: Extend CrowdStrike capabilities already deployed into broader, more integrated security operations.

Availability

Falcon Next-Gen SIEM is available through CGI Federal’s CDM DEFEND F SIEMaaS shared service to eligible federal civilian agencies that use CrowdStrike EDR modules and participate in CISA’s CDM Persistent Access Capability program.

Through the DEFEND F mechanism, Falcon Next-Gen SIEM SKUs are acquired on behalf of participating agencies, allowing eligible agencies to access the capability without using their own program funding.

Contact your CrowdStrike Federal Account Team today to learn how your agency can access Falcon Next-Gen SIEM through CDM and schedule a tailored engagement.

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New in Falcon Cloud Security: Third-Party App Insights and AI-Enhanced Remediation
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Two forces are reshaping modern cloud posture management: context and AI. Context gives security teams the business insight to understand risk. AI helps them turn that insight into faster, more informed action.

CrowdStrike Falcon® Cloud Security is advancing both. New third-party application insights map the external services cloud-native applications depend on, helping customers assess the risk those dependencies introduce. AI-enhanced remediation transforms cloud risk analysis into prioritized remediation plans that show teams what to fix first and why, and how to resolve it.

Third-Party Application Insights

Cloud-native applications increasingly rely on third-party and SaaS services to perform critical business functions, creating dependencies that introduce risk beyond an organization’s direct control. When a third-party provider is compromised, security teams need to quickly determine which applications are affected, how they interact with the provider, and the potential impact on security, business, and compliance. Without visibility into third-party dependencies, assessing exposure can require manually searching code and application inventories.

CrowdStrike is expanding application security posture management (ASPM) to provide visibility into how applications depend on third-party services. Using application code analysis, Falcon Cloud Security identifies integrations with a range of providers (e.g., payment providers including Stripe, PayPal, and more), maps the API operations each application invokes, and surfaces the information in Application Explorer. Security teams can see which vendors an application depends on and which operations it performs through each service.

Third-party dependency insights add another layer of context to the broader application risk picture. Falcon Cloud Security also correlates dependencies with application vulnerabilities, workload risk, cloud infrastructure, AI services, and other application context to reveal combinations of risk that warrant greater attention.

For example, following a payment provider breach, customers can identify applications communicating with the provider and determine whether the same applications run on vulnerable containers or use sensitive AI services. Correlation across multiple risk factors provides a more complete view of exposure and helps prioritize applications where risks converge.

Combining third-party dependency visibility with application context helps customers understand the dependency’s role in overall application risk. The added context can also surface unauthorized integrations, reveal vendor concentration risk across applications, and determine where compliance requirements such as PCI DSS apply.

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Falcon Data Security for SaaS Secures Sensitive Data in Microsoft 365
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Discover and Protect Sensitive Data in Microsoft 365

Falcon Data Security for SaaS continuously discovers and classifies sensitive data across SharePoint, OneDrive, and Copilot as files are accessed, modified, and shared. Out-of-the-box data patterns identify regulated information such as personally identifiable information (PII), protected health information (PHI), and payment card data. Custom patterns help identify sensitive information unique to the business. 

AI-powered classification helps teams better understand sensitive information in context. The shared Falcon Data Security classification engine provides a consistent understanding of sensitive data across SaaS, endpoint, and cloud. This reduces the policy gaps created by disconnected tools, helps teams maintain one view of sensitive data across the business, and improves classification accuracy at scale while reducing manual effort.

Based on classified content, Falcon Data Security for SaaS can automatically apply and manage Microsoft Sensitivity Labels to help organizations consistently protect sensitive information. Teams can simulate labeling policies before enforcement, then apply labels that activate Microsoft 365 protections such as encryption, access controls, sharing restrictions, and watermarks while also restricting AI access. This creates a direct path from discovering and classifying sensitive data to protecting it.

Secure Data Before AI Can Expose It

Microsoft Copilot can draw from information users are authorized to access across Microsoft 365, which makes existing data exposure and permissions increasingly important. Information that was once difficult to find can become much easier to surface through an AI interaction.

Falcon Data Security for SaaS helps secure the data Copilot can access by identifying sensitive information and applying Microsoft Sensitivity Labels and associated protections. This helps employees take advantage of Copilot while reducing the risk of sensitive information being unintentionally exposed through AI.

Turn Data Discovery Into Risk Intelligence

Finding sensitive data is only the beginning. Falcon Data Security for SaaS combines sensitive content with exposure and location context to help teams prioritize meaningful risk, such as files exposed through anonymous links, data shared externally, overly broad access, or regulated information stored in unexpected locations.

Because Falcon Data Security is part of the CrowdStrike Falcon® platform, SaaS data findings feed into CrowdStrike Falcon® Next-Gen SIEM, allowing analysts to pivot from data risk into broader investigations alongside other security telemetry. This gives teams context to quickly focus on and act on the most critical exposures.

Take Least Privilege Further with Just-in-Time Access

For highly sensitive data, knowing what the data is and protecting it isn't enough. Organizations also need to control who can access it and when. Falcon Data Security for SaaS integrates with CrowdStrike Falcon® Privileged Access to bring just-in-time (JIT) access to sensitive data. Instead of maintaining standing access to sensitive SharePoint content, organizations can grant time-limited access to a specific user or group from an authorized device. When the approved period ends, access is automatically removed. 

By combining data classification and least-privilege access with just-in-time authorization, organizations can more tightly control who can reach their most sensitive information and reduce the risk created by persistent access.

Modern Data Security for Wherever Business Happens

With Falcon Data Security for SaaS now generally available, CrowdStrike extends its modern data security approach deeper into the applications where business gets done every day. Across endpoint, SaaS, and cloud environments, Falcon Data Security helps organizations understand what data is sensitive, see how it moves and where risk emerges, and apply protection.

Microsoft 365 is the starting point for Falcon Data Security for SaaS, with plans to expand SaaS coverage over time. It’s another step toward a unified approach to securing sensitive data wherever it lives and moves.

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Request, Aggregate, Bypass: How Attackers Can Evade LLM Safety Classifiers
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Request, Aggregate, Bypass: How Attackers Can Evade LLM Safety Classifiers

The CrowdStrike Cyber Superintelligence Lab evaluated the most advanced publicly deployed content safety classifier and found that it can be systematically circumvented.

Modern frontier AI models deploy safety classifiers. These are second AI models that sit between the user and the frontier model, evaluating every request in real time. If a request is flagged as harmful, the classifier blocks it before the model can respond.

Significant investment and safety model expertise have made these classifiers effective. Anticipating how adversaries circumvent these systems is a security problem that requires different expertise. As AI-empowered adversaries adopt frontier models for offensive operations, understanding the limits of these safety systems becomes critical defensive intelligence.

The CrowdStrike Cyber Superintelligence Lab evaluated the most advanced publicly deployed content safety classifier, which guards models such as Claude Opus 5.5 and Fable 5 (referred to hereafter as Frontier Model A). The classifier is extremely robust against direct attacks but can still be systematically circumvented by decomposing harmful requests into benign subtasks. This bypass technique was independently discovered and validated across 9 of 10 offensive security categories.

⚠ Parallel Discovery Disclosure: In September 2026, Microsoft Research published “Capability Laundering,” describing an attack where an unaligned local model decomposes harmful tasks into benign subtask queries against aligned frontier models, then reassembles the results. The findings, that “per-exchange filtering is structurally insufficient,” are consistent with the results we present here. Our research was conducted independently during the same period, and we are publishing to establish the parallel nature of this discovery. Where Microsoft focuses on CBRN uplift and benchmark-level evaluation, our work provides complementary depth in offensive security: mapping the classifier boundary surface across ~515 technique classes, identifying specific benign-reframing strategies (game modding, detection engineering, legitimate software), and demonstrating the full pipeline across 9/10 MITRE ATT&CK® categories with working proof-of-concept code. The convergent discovery by two independent teams underscores that this is a structural vulnerability class, not an isolated finding.

The Problem: Per-Request Classification Has a Structural Blind Spot

Modern frontier language models deploy sophisticated content safety classifiers (e.g., AI Safety Level 3) that evaluate each request independently. Our testing confirms these classifiers are remarkably robust. We tested approximately 515 distinct bypass techniques, including encodings, psychological manipulation, multi-turn escalation, many-shot tactics, tokenizer exploits, Unicode tricks, and 24 novel approaches drawn from cognitive science. These techniques achieved a 0% direct bypass rate.

However, there is a structural gap. The classifier evaluates individual requests, not request sequences. An adversary that decomposes a harmful task into subtasks that are individually and genuinely benign can extract all necessary building blocks from the classified model, then assemble them using an unclassified smaller model. The classifier correctly evaluates every request it sees. There is no misclassification. The harm is emergent in the composition, and composition happens outside the classifier’s observation boundary. This threat modeling observation that individually secure components can be combined to produce weaknesses has been understood by security experts for decades.

The Technique: Decompose → Benign Reframe → Recompose

Figure 1. Orchestration pipeline of decompose and recompose technique

The innovation lies in the full pipeline: decomposition of an offensive goal into individually benign subtasks, benign reframing of each subtask as a legitimate software engineering request, and recomposition by an unclassified model that assembles the pieces into a working offensive artifact. The reframing step is flexible: any legitimate software context that naturally uses the same code primitives can serve as a vehicle. An attacker with a free API key and a local open weight model has everything they need to cheaply run this pipeline today.

Below are three examples of reframing families we validated:

Figure 2. Benign reframing technique examples

Use Case 1: Process Injection, the Original Discovery

Our initial finding demonstrated the bypass technique on Windows remote process injection. Three benign requests to Frontier Model A, protected by a Level 3 Classifier, extracted all necessary primitives.

Table 1. Process injection reframing

Smaller Model B, unprotected by a classifier, assembled the pieces into a 221-line, compilable C program implementing the full OpenProcess → VirtualAllocEx → WriteProcessMemory → CreateRemoteThread injection chain. A simplified single-prompt variant using game-trainer framing achieved the same result with even less orchestration effort.

Use Case 2: CVE Exploit Development, Scaling via Detection Framing

The bypass technique is applicable far beyond process injection. By reframing offensive CVE knowledge as detection engineering (“Write Sigma rules for CVE-X”), the classifier passes detailed exploitation mechanics because the stated intent is defensive. Smaller Model B then synthesizes working proof-of-concept exploits from the detection knowledge.

Figure 3. Detection-framed prompts on Frontier Model A

Full Pipeline: 9 of 10 Offensive Categories Vulnerable to Bypass

We tested the complete pipeline across 10 MITRE ATT&CK-aligned offensive security categories. Nine produced working exploit code. Adversaries with one working technique are a problem. Adversaries with nine working techniques start dedicated campaigns.

One category resisted the pipeline: Defense (EDR) Evasion (runtime security hook neutralization). Unlike other categories, the classifier blocks this technique class at the conceptual level, not just keyword level. Even prompts that avoid all security terminology were blocked when the underlying operation involved patching runtime monitoring functions in memory. The classifier recognizes the concept of “neutralizing a runtime inspection mechanism” regardless of vocabulary, making this the one category where decomposition cannot find a viable benign reframe.

Figure 4. Full pipeline: Nine offensive security use cases

Table 2. Pipeline results

Knowledge Transfer: The Frontier Model’s Expertise Flows Downstream

This pipeline is not merely routing around a classifier. It is an inter-model knowledge transfer mechanism. Frontier Model A possesses deeper domain expertise, more precise API knowledge, and higher code quality than Smaller Model B. The decomposition extracts this expertise through benign reframes, and Smaller Model B inherits it during assembly. We validated this via controlled A/B testing across 8 use cases, comparing Smaller Model B alone against the full pipeline.

Table 3. Domain-expert knowledge transfer from Frontier Model A

Understanding knowledge gaps between models is critical to this bypass technique. For well-documented techniques (reverse shells, persistence), Smaller Model B’s training data is sufficient. For specialized domains such as process injection (Windows API precision), CVE-specific exploits (vulnerability mechanics), privilege escalation (token manipulation), and keylogging (hook APIs), the frontier model’s deeper knowledge is essential. The pipeline is most dangerous precisely where the knowledge gap between model tiers is largest.

Mitigation Challenges

Cross-request semantic accumulation (flagging when an API key’s recent requests jointly cover a harmful-composition template) is a natural mitigation to consider. However, it has structural bounds: an attacker can distribute subtask queries across different providers, use local open-weight models for orchestration and assembly, or simply rotate API keys. Cross-request correlation is only effective when the provider has visibility over the full request sequence, which is not guaranteed when the adversary controls the orchestration layer. As Microsoft’s paper observes, “the decisive context stays with the orchestrator” outside the frontier provider’s observation boundary. Per-provider defenses alone cannot fully address cross-provider or hybrid local/cloud attack pipelines. Reasoning about how adversaries distribute requests across providers, rotate keys, and use local models to stay below observation horizons is an adversary tracking problem separate from model lab expertise.

Conclusion

Model safety evaluations are rigorous within their scope but limited to attacks against single models. Adversaries do not act within these limitations. Our research demonstrates that this is a fundamental vulnerability class in classifier-based LLM safety architectures. Microsoft’s convergent discovery of this technique supports our findings. The defense is not to make these remarkably robust classifiers stricter but to extend the threat model beyond individual requests to encompass request sequences, cross-model composition, and the knowledge transfer dynamics between classified and unclassified model tiers.

Our 515-technique evaluation establishes that the classifier itself is robust; no direct bypass was found across any technique class. The vulnerability lies not in the classifier’s accuracy but in the architectural assumption that per-request evaluation is sufficient. As Microsoft aptly puts it, “alignment that holds over a whole task can fail when the task is split into individually permitted fragments.”

Our research maps exactly how wide that failure is.

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CrowdStrike Named a Leader in the 2026 IDC MarketScape for Worldwide Modern Endpoint Security for Enterprises Vendor Assessment
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CrowdStrike has been named a Leader in the 2026 IDC MarketScape for Worldwide Modern Endpoint Security for Enterprises Vendor Assessment.

We believe this recognition reflects the strength of the CrowdStrike Falcon® platform and the proven endpoint capabilities CrowdStrike brings into the AI era: industry-leading protection at scale, consistent analyst recognition, measurable business value, and the trust of customers globally.

What happens on the endpoint is changing rapidly. Humans, applications, and AI agents increasingly work side by side, executing commands, accessing data, using identities, interacting through browsers, invoking tools, and introducing software. This creates the agentic endpoint, where humans, AI agents, and AI-enabled adversaries converge.

The threats endpoint security was built to stop have not disappeared. Ransomware, malware-free attacks, hands-on-keyboard activity, and credential abuse remain critical risks. But the attack surface has expanded. Supply chain attacks can introduce risk before code executes, while AI agents add a new source of activity, access, and autonomy.

This demands the next evolution of endpoint security. Agentic endpoint security builds on proven prevention, detection, and response while extending protection across the agents, software, identities, and actions shaping activity at runtime. Knowing what happened is no longer enough. Security needs to understand who or what acted, the access and intent behind that activity, and whether it should be allowed to continue.

Securing the Agentic Endpoint

CrowdStrike is building on our proven endpoint security foundation, which consists of the Falcon sensor and our deep endpoint telemetry powering prevention, detection, and response, to protect the expanding range of endpoint activity. Our foundation stops advanced endpoint attacks, blocks supply chain attacks before malicious code executes, and provides the deep endpoint visibility needed to understand activity as it unfolds.

As AI agents introduce a new source of activity and autonomy on the endpoint, CrowdStrike Falcon® Guardian adds the agent-specific context and controls needed to understand and secure that activity. Falcon Guardian discovers approved and unknown agents, enforces AI governance policy, detects threats like prompt injection and malicious skills, and connects prompt-layer activity with OS-level telemetry so teams can trace AI agent actions through the processes they trigger. Because it runs on the same Falcon sensor customers already deploy, organizations can extend protection into AI agent activity without another endpoint sensor, separate console, or control plane.

The same endpoint foundation that Falcon Guardian builds on also protects against malicious software before it executes. CrowdStrike Real-Time Supply Chain Attack Protection blocks malicious npm and PyPI packages at download, before embedded code can run, whether downloaded by a human or an AI agent. This extends endpoint prevention further upstream in the attack chain.

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