Synack breaks down agentic AI in pentesting, contrasting it with standard LLMs. What's interesting: agents can autonomously chain tools (nmap→hashcat→curl), learn from results, and adapt—going beyond …
Category: Research & Analysis / AI Security
#ai-security#pentesting#agentic-ai#automation#red-team
Cybersecurity Ventures spotlights the shift from reactive SOCs to augmented, AI‑enabled operations that emphasize playbook design, detection logic, and continuous model training. Automation elevates a…
Category: Industry News / Research & Tools / Research & Tools
#soc#automation#ai#operations
Intezer reports that AI-driven SOC architectures are outperforming traditional MDR services by automating detection and triage with LLM-based reasoning. Source: Intezer.
Category: Intelligence Reports / SOC & AI / AI-driven Security Operations
#ai#soc#mdr#automation
Synack outlines a human-validated model for agentic AI in penetration testing: agents accelerate breadth (enumeration, fuzzing, known-bad checks, clustering) while researchers deliver assurance (repro…
Category: Industry News / Research & Tools / AI Security
#agentic-ai#pentest#hitl#automation