Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Zenity

Five Ways AI Agents Actually Fail, and Why Most Security Programs Are Only Built for Two of Them

Oct 7, 2026 By Rock Lambros In Zenity
Most of the industry discourse on agentic AI risk has settled into a comfortable framing: agents get attacked the way models get attacked, through some form of prompt manipulation, and the fix is a better guardrail. I think that framing is dangerously incomplete, and I want to walk through five specific scenarios that make the case directly rather than abstractly. Two of them are manipulation. One exploits trust between agents rather than any single agent's behavior.
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cloudflare

Building an evidence-grounded agentic security operations harness on Cloudflare

Oct 7, 2026 By Artificial Intelligence In Cloudflare
Security alerts rarely arrive one at a time. A single alert can cause a spike across the environment, requiring a human analyst to decide which alerts are related and what they mean. When multiple arrive at the same time, it can quickly overwhelm even a seasoned security analyst. Enter the alert paradox. Now, our built-in, multi-AI-agent security operations harness can handle more of this work at Cloudflare scale.
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egnyte

Why Your Collaboration Foundation Matters Most When Adopting AI Tools

Oct 7, 2026 By Abhishek Kesanupalli In Egnyte
Is your leadership team pushing to roll out new AI tools, but your users are still struggling with basic issues like working on large/complex files or collaborating effectively? Then you’re starting off with an ineffective AI adoption plan. AI is becoming an increasingly important collaboration tool, so it’s critical to include it as part of your foundation. You can even think of AI as being your first collaborator.
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tigera

Gemini Never Left the Sandbox. The Sandbox Had a Door.

Oct 7, 2026 By Alister Baroi In Tigera
In short, in May 2026 a Gemini model under evaluation by the AI security firm Irregular reached the systems of three real companies, and the incident has been reported as a breakout. By Google’s own account it was nothing of the kind. The test environment had internet access it was not meant to have, the fictional target shared its name with a real company, and the model found public information online, guessed one password and found two more in public code repositories.
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CrowdStrike

Unknown Threat Actor Uses AI-Driven ARTEX to Target South Korean Finance

Oct 7, 2026 By Ashley Campion In CrowdStrike
CrowdStrike Intelligence identified infrastructure associated with a targeted campaign against South Korean financial organizations that resulted in exfiltrated data. The campaign was active from late September to early October 2026. Analysis of threat actor-controlled open directories uncovered Claude Code session histories, ARTEX configuration files, and Claude memory files, providing direct insight into the threat actor's operational methodology and tooling.
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Snyk

Autonomous Attacks Are Already Here. The Defense Has to Match Their Speed.

Oct 7, 2026 By Snyk Team In Snyk
Last week, Snyk CTO Manoj Nair sat down with Alon Krifcher, Head of Applied AI from Anthropic, for a live discussion on the coming wave of autonomous attacks. Manoj kept landing on one thing: the AI Hurricane has already arrived, and what's left is deciding whether your defense runs at the same speed as the threat.
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Governing at the speed of AI: What IT leaders need to know

Oct 6, 2026 By Tines In Tines
AI is reshaping the IT leadership role faster than any shift in the last decade. As AI makes it dramatically easier to build software (agents, apps, automations, and more), the volume of software entering the enterprise is far beyond what IT teams have had to govern before. That shift demands new ways of thinking about enterprise control: how security, access, and oversight evolve to keep pace with software that's built faster and by far more people than ever before. The leaders who treat this as an operating shift, not just a technical one, are the ones expanding their influence.
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