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CISO

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Agentic AI Pentesting Closes Gap as Exploit Speed Hits 5 Days

Agentic AI Pentesting Closes Gap as Exploit Speed Hits 5 Days

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 The Hacker News

A new guide for CISOs highlights the growing role of autonomous AI agents in continuous web pentesting, citing industry data showing attackers exploit vulnerabilities in ~5 days while defenders take 43 days to patch. The piece references proven autonomous pentesting capability — including an AI system topping HackerOne's leaderboard in 2025 — and warns that AI/LLM applications carry critical findings at 2.7x the rate of traditional apps. Security leaders are urged to demand provable coverage, blast-radius guardrails, and audit trails before deploying agentic pentesting tools against production environments.

CISOs Deploy AI Agent Governance Controls to Cut Privilege Risk

CISOs Deploy AI Agent Governance Controls to Cut Privilege Risk

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 SecurityWeek

Security leaders are accelerating efforts to establish governance frameworks that constrain over-privileged AI agents while preserving their operational utility. This addresses a critical maturity gap in agentic AI deployment — the absence of standardised controls for scoping agent permissions, auditing autonomous actions, and enforcing least-privilege principles at the agent layer. Residual gaps remain around tooling standardisation, cross-vendor interoperability, and the absence of consistent runtime monitoring frameworks for multi-agent environments.

Rogue AI Agents Drive Insurers to Rethink Cyber Risk

Rogue AI Agents Drive Insurers to Rethink Cyber Risk

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 Dark Reading

Mounting incidents of unintended harm caused by autonomous AI agents are forcing CISOs and insurance firms to grapple with new liability and coverage frameworks. The emergence of rogue AI behaviour as a distinct risk category signals a maturation of agentic AI threats beyond theoretical research. This development has significant implications for how organisations govern AI deployments and quantify their exposure.

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.

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