Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

armo

AI Agents in the Cloud: A Risk Management Framework for Security Leaders

May 7, 2026 By Shauli Rozen In ARMO
Your risk committee meets Thursday. The agenda has a new item: AI agent risk posture. You open the register. The fraud detection agent shipped in March is on it. So is the customer service agent. Neither row is useful — “likelihood: medium, impact: high, control: service account scoped via IAM.” Three months ago that was approximately right. Last week the platform team added two MCP connections, the model was upgraded, and the agent now touches data classes the entry never anticipated.
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jumpsec

What's happening to DevOps Security?

May 7, 2026 By Sean Moran In JUMPSEC
As 2026 rolls on, our capacity to prompt ourselves silly appears to be limitless. We’ve already seen the financial, legal, and reputational damage to Deloitte as they partly refunded the Australian government for a 237-page audit report containing LLM-generated hallucinations like fabricated academic references, fake footnotes, and a false quote attributed to a judge.
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protecto

Stop Blaming AI for Bad System Design | Fix MCP Security

May 7, 2026 By Amar Kanagaraj In Protecto
Every few weeks, a new story surfaces: an AI agent deletes a production database, an autonomous coding tool racks up a five-figure cloud bill, or a chatbot exfiltrates internal documents through a prompt injection attack. The reaction is predictable. “AI is dangerous.” “LLMs can’t be trusted.” “We need better guardrails on the model.” But if you look at the root cause of these incidents, the model is rarely the problem. The system around it is.
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inetco

Are banks ready for AI-powered cyber threats?

May 7, 2026 By Joe Kitos In INETCO
A recent American Banker article, “Knock on wood: Are banks doing enough to cope with Mythos?” raises a timely and uncomfortable question about advanced AI models like Anthropic’s Claude Mythos. As highlighted in the article, INETCO CEO Bijan Sanii points out a critical truth: The conversation is being fueled by the emergence of AI technology capable of identifying software vulnerabilities at a speed and scale that was previously unimaginable.
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The New Vanguard: Strategic Leadership in the Age of Autonomous Threats

The New Vanguard: Strategic Leadership in the Age of Autonomous Threats

May 7, 2026 By SecuritySenses In SecuritySenses
The threat landscape of 2026 is no longer defined by the singular hacker or the isolated malware strain. We have entered the era of the "Autonomous Adversary"-a period where AI-driven social engineering, automated vulnerability discovery, and polymorphic code are the standard tools of state-sponsored and criminal actors alike. For the security professional, the traditional defensive perimeter has dissolved. To navigate this complexity, the industry is moving away from purely tactical responses toward a model of "Cyber-Resilience and Strategic Governance.".
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upguard

AI GitHub Agents: How One Issue Leaked Private Repos

May 6, 2026 By Shane Moosa In UpGuard
In May 2025, a developer using Claude with the GitHub MCP server asked their AI assistant to do something entirely routine: review the open issues in a public repository. The repository contained a malicious GitHub issue planted by a researcher demonstrating a security vulnerability. The issue contained hidden instructions. The AI read them, followed them, accessed the developer's private repositories, and posted the contents in a publicly visible pull request. No credentials were stolen.
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WatchGuard

Meet Rai: AI That Runs More of the Security Work

May 6, 2026 By The Editor In WatchGuard
MSPs are managing more customers, more environments, and more tools than ever before. At the same time, customer expectations keep rising -- faster response times, clearer reporting, and consistent service across every client. All of that pressure lands on already‑lean teams. That’s the reality Rai was built for.
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miniorange

Claude Mythos Is Not the Problem. Your Security Basics Are

May 6, 2026 By miniOrange In miniOrange
There is a lot of panic around Claude Mythos. Some people are saying it will hack every system, that the sky is falling, and that there is no stopping it. That fear is dangerous because it makes teams freeze. Claude Mythos is genuinely powerful. AI systems like this can find security issues in minutes that even experienced penetration testers might take weeks to identify and exploit. That part is real. But here is the important point: AI is still exploiting what is already there.
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LimaCharlie

AI in security feels harder than it is

May 6, 2026 By Daniel Ballmer In LimaCharlie
Anyone who's stood up a SIEM from scratch knows the feeling: weeks of infrastructure work, integration headaches, and a services team alongside for the whole process. That experience shaped how people think about adopting anything new in security ops. The instinct is to treat AI the same way: budget for it, plan for it, bring in specialists. This instinct is costing teams real time. Traditional infrastructure takes great effort to stand up. Infrastructure-as-code happens in seconds.
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