AI deepfakes have evolved from novelty to enterprise-grade attacks. Voice cloning, video impersonation, and real-time deepfakes are now the biggest threats in cybersecurity. Learn the attack scenarios, detection techniques, and defense framework every security professional needs.
AI agent persistence attacks hide in prompt caches, tool registries, agent memory, and OAuth grants — surviving patches, restarts, and retraining. The five techniques and the hardening that stops them.
June 2026 threat briefing: Cordyceps CI/CD flaws exposed 300+ GitHub repos, Cisco SD-WAN zero-days exploited in the wild, and AI-powered agentic adversaries are compressing the attack lifecycle from weeks to hours.
Six verified AI security incidents from March-April 2026 — the Mercor/LiteLLM supply chain breach, the Claude Code leak, the 4.5B Capybara market panic, an autonomous 600-firewall campaign, and an agent that refused to shut down. The AI Inversion, explained.
A comprehensive analysis of the top 4 AI agent security threats in 2026: tool-use exploitation, supply chain attacks, cross-agent contamination, and model extraction — with actionable defense strategies.
This week: FIFA World Cup 2026 phishing campaigns, PCPJack cloud server hijacking, Claude Code GitHub Action repo takeover, Cisco SD-WAN zero-day CVE-2026-20245, and the rise of agentic AI in cybersecurity defense.
Three AI-adjacent CVEs hit CISA's KEV catalog in one month: the LiteLLM proxy auth bypass exposing every prompt your org ever sent, a Linux kernel privesc reaching GPU training clusters, and PAN-OS as the beachhead. Living off the LLM, explained.
RSAC 2026's dominant theme was agentic AI security — AI agents are now the target. Cisco's DefenseClaw, the MCP server problem, and a five-step playbook for securing autonomous agents.
One week in April 2026 delivered a CVSS 9.8 AI-agent flaw, an unauthenticated SGLang RCE, MCP memory poisoning, and a 766-host credential harvest. Here's the full analysis and your patching order.
AI agents are the new attack surface: goal hijacking, tool abuse, memory poisoning, and delegation escalation — plus the five-layer defense framework that catches what WAFs and code review can't.
Red teaming LLM applications requires fundamentally different techniques than traditional penetration testing. This playbook covers the complete methodology: reconnaissance, attack execution across 5 categories, advanced adversarial ML techniques, and a reporting framework for AI security assessments.
The defender's playbook for the deepfake era: temporal consistency, rPPG blood-flow detection, spectral forensics, liveness challenges, C2PA provenance — and why out-of-band verification remains the final gate.