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AI security can no longer stop at the model. In the Mythos era, defenders must test the systems around AI: agents, tools, RAG pipelines, identity, APIs, data flows, approval paths, and the attack chains that connect them.
AI cyber threats are moving beyond phishing and into operational attack paths. Attackers are experimenting with Claude Code misuse, AI-powered penetration testing tools, fake developer repositories, exposed secrets, autonomous agents, and model-connected workflows that can interact with real systems.
Explore cloud security research on AWS, Azure, GCP, IAM risk, Kubernetes testing, storage exposure, cloud penetration testing, and attack paths.
Explore red team research on adversary simulation, MITRE ATT&CK, offensive security, living off the land, NTLM relay, AS-REP roasting, and attack paths.
Explore red team research on adversary simulation, MITRE ATT&CK, offensive security, living off the land, NTLM relay, AS-REP roasting, and attack paths.
Explore AI security research on LLM testing, prompt injection, RAG risks, AI agents, data leakage, model abuse, and enterprise AI attack paths.
AI swarm attacks are redefining cybersecurity by enabling coordinated, autonomous agents to identify vulnerabilities and execute attacks at scale. This guide explains how AI swarm technology works, why it introduces new risks, and how organizations can defend against emerging multi-agent threats.
Wondering how much penetration testing costs in 2026? This guide breaks down typical pricing for external, internal, web application, API, cloud, and Red Team assessments, along with the key factors that influence cost. Learn what drives pricing, why cheaper testing can create risk, and how senior-level manual testing helps organizations uncover real attack paths and prioritize security investment.
SOC 2 security testing validates control effectiveness and provides audit-ready evidence to protect customer data and meet compliance requirements.