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FIRST LOOK Check Point Launches Dangerous Deviation Detection for AI Agents // HIGH CERT-In: AI Agents Breached Indian Orgs via Exposed Credentials // FIRST LOOK AWS Launches Trust in Depth Controls for Autonomous AI Agents // FIRST LOOK Anthropic Opens Employee-Level Access to METR Safety Researchers // FIRST LOOK Apate Launches AI Agents That Infiltrate Scam Networks for Intelligence // HIGH OpenAI Engineer Used Chatbot to Plan Covert Bug Planting // HIGH OpenAI Engineer Arrested for Planting Hidden Spy Device // FIRST LOOK Laplace Intelligence Launches AI Red-Teaming for Robots and AVs // FIRST LOOK AWS Launches AgentCore Payments with Anchor Browser for AI Agents // MEDIUM OpenAI Lean Proof Mistranslation Exposes AI Verification Risk //
HalluSquatting Exploits AI Hallucinations for Botnet RCE

HalluSquatting Exploits AI Hallucinations for Botnet RCE

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 SecurityWeek

Researchers have demonstrated a novel attack technique called 'HalluSquatting', which weaponises AI hallucinations by registering fake package names that LLMs fabricate, turning them into malware delivery vectors. When developers trust AI-recommended dependencies and install the squatted packages, attackers can achieve remote code execution and potentially recruit victim machines into botnets. The technique represents a significant escalation in the practical exploitation of LLM hallucinations beyond misinformation into active infrastructure compromise.

Sevii Cyber Swarm Defense Token Costs Enable DoS Attacks

Sevii Cyber Swarm Defense Token Costs Enable DoS Attacks

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 SecurityWeek

Sevii's Cyber Swarm Defense launch highlights a structural tension in enterprise AI security: the token-based cost model of agentic AI defense becomes unpredictable and potentially unsustainable as adversarial attack volume increases. CISOs face a compounding risk where budget exhaustion mid-attack could force a fallback to understaffed human teams. The article also references Claude Mythos as a frontier model enabling higher-volume adversarial campaigns, underscoring the asymmetric cost burden between attackers and defenders.

AI-Powered Adversarial Attacks Spark Artemis Defense

AI-Powered Adversarial Attacks Spark Artemis Defense

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 SecurityWeek

Artemis, a cybersecurity startup focused on AI-powered threat defence, has emerged from stealth with $70 million in funding, positioning itself to counter AI-driven attacks across applications, users, endpoints, and cloud workloads. The emergence signals growing investor confidence in purpose-built AI security platforms designed to address the escalating threat landscape of adversarial AI. While details on specific technical capabilities remain sparse, the company's broad scope suggests coverage of multiple attack surfaces increasingly targeted by AI-enabled threat actors.

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