Threat Platforms
Offensive Security Operations Augmented by AI Agents
Models are just one-third of your AI attack surface, and attackers know it.
Nico Osei
Contributing Editor · · 11 min read
ThreatIntel Review
Provenance Tracking for AI Agent Tool Call Sequences
Tracking where agent actions originate stops harmful tool chains before they cascade.
Leila Bauer
Guardrail Bypass Techniques Against AI Agent Runtime Controls
Attackers now have documented ways to bypass every layer of AI agent security controls.
Soren Bauer
Runtime Guardrails for Browser-Use Agents in Production
Existing security tools miss real-time threats from browser agents operating without human approval.
Hassan Sabatini
Minimal Security Controls That Preserve Agent Effectiveness
Defenders must layer controls across data, tools, and reasoning—not just the model.
Kai Adeyemi
Argument-Level Enforcement in AI Agent Tool Calls
Text-layer content filters miss five critical attack patterns that live in tool arguments instead.
Omar Nair
Exfiltration Prevention Controls for Tool-Calling Agents
Four control layers stop agent data theft at input, tool use, output, and memory.
Priya Zola
Least-Privilege Tool Access Controls for LLM Agents
Rethinking permission scoping and enforcement for AI agents that plan unpredictably across systems.
Vera Ford