As cybersecurity platforms embrace agentic AI, organizations must balance detection performance against the escalating costs of token consumption, deployment architecture, and AI credits. (Danelle Au)

From hidden content injections to cognitive state poisoning, attackers are turning trusted data sources into traps for autonomous AI. (Etay Maor)

Groups like ShinyHunters are demonstrating that attackers do not necessarily need malware or zero-day exploits to cause massive damage. (Torsten George)

Four decades of incident response experience suggest that exploits are often the symptom, not the root cause, of today’s cybersecurity failures. (Tod Beardsley)

Security teams need more than visibility into AI applications, they need a repeatable framework for monitoring, investigating, and defending them in production. (Joshua Goldfarb)