Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

sophos

Donuts and Beagles: Fake Claude site spreads backdoor

May 7, 2026 By Chaitanya Ghorpade In Sophos
A malicious imitation of Anthropic’s Claude site leads to DLL sideloading – and a backdoor As we reported on social media recently, Sophos X-Ops has been investigating reports of a fake Claude AI website distributing malware. Like other researchers, we thought this might be a PlugX-like campaign, given that the attack chain shares several characteristics with observed PlugX attacks.
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Meet GitGuardian's AI Assistant: Natural Language Queries Across All Your Incidents

May 7, 2026 By GitGuardian In GitGuardian
See how the GitGuardian Assistant helps teams investigate, understand, and remediate secret incidents directly from the GitGuardian workspace. In this preview, Mathieu and Dwayne walk through how the assistant uses incident context, workspace details, and GitGuardian documentation to answer questions, suggest next steps, and help manage incidents through natural language. It can explain threat patterns, assess scope and impact, recommend remediation steps, assign incidents, update tags, and propose changes to incidents.
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sophos

How AI-accelerated threat discovery is reshaping network security

May 7, 2026 By Barbara Hudson In Sophos
How AI-accelerated threat discovery is reshaping network security As vulnerabilities are discovered faster than ever, organizations must rethink how they reduce exposure and contain risk at the network edge. Claude Mythos Preview has reignited debate about AI-driven cyber attacks, but the real shift isn’t what AI finds, it’s how quickly issues at the network edge can turn into impact. This post explores what’s changed and how network security must adapt to keep up.
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cyberhaven

Agentic AI Security: Visibility and Control for AI Agents at Work

May 7, 2026 By Kasi Annamalai In Cyberhaven
Security teams have spent years tracking what employees do with data. The harder problem now is tracking what agents do on their behalf. AI agents, whether running in an IDE, installed locally on a laptop, or connected to internal data through a model context protocol (MCP) server, operate with the permissions of the user who deployed them. They read files, query databases, call external APIs, and generate outputs. And in most enterprise environments, security teams have no reliable way to see any of it.
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armo

Privacy and Data Residency for AI Agents: What GDPR Requires That Static Controls Can't Show

May 7, 2026 By Yossi Ben Naim In ARMO
The residency evidence GDPR and the EU AI Act now expect lives in the runtime trajectory of every AI agent execution, not in the deployment configuration. Your residency compliance dashboard — every workload in eu-west-3, sovereign cloud configured, SCCs signed — cannot produce it. Your AI agent’s last thousand inferences crossed an external border, on average, eight times each. The translation API routed through us-east-1 when the EU endpoint hit capacity.
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AI: The hero's journey with Ken Westin

May 7, 2026 By LimaCharlie In LimaCharlie
Join us for this week's Defender Fridays as Ken Westin, Senior Solutions Engineer at LimaCharlie, shares his AI journey and what the hero's journey framework reveals about how security professionals can move from hesitation to genuine mastery of AI tools. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.
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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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armo

How to Harden AI Agents in Cloud Environments: The 9 Capabilities Your Stack Must Provide

May 6, 2026 By Shauli Rozen In ARMO
Most “hardening” advice for AI agents is a checklist of things to configure before the agent runs. CIS Kubernetes Benchmark gates. Pod Security Standards baselines. NetworkPolicy templates. None of it’s wrong — it’s just one of four phases, the one your stack already covers. The other three are Observe, Enforce, and Reconcile. They’re where AI agents actually get breached, and they’re where most stacks have nothing.
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armo

AI Agent Security Performance: Framework for Evaluating Latency, Throughput, and Observability Overhead

May 6, 2026 By Ben Hirschberg In ARMO
Every AI workload security PoC reaches the same conversation. Platform engineering pushes back: the AI team won’t accept extra latency on inference. The security engineer hunts for benchmarks and finds a contradiction. Langfuse publishes 15% overhead. AgentOps publishes 12%. The security vendor quotes 1–2.5%. None is lying. They measure different layers.
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