Blog
AI agent security research, case studies, and assessments.
AI Red Teaming Tools Compared: 2026 Guide
Compare 7 AI red teaming and penetration testing tools: Mindgard, Protect AI, Adversa AI, Giskard, NVIDIA Garak, Promptfoo, and AI Vyuh Security.
Mapping the AI Agent Attack Surface
Mapping the AI agent attack surface: the six layers — model, prompt, tools, memory, identity, multi-agent — where autonomous agents get compromised.
What Is MLSecOps? Defining Security for the AI Lifecycle
What is MLSecOps? Defining security across the AI lifecycle — data, training, deployment, and agents — with the five pillars and how it maps to NIST AI RMF.
The Risks of Deploying Autonomous AI Agents in the Enterprise
The real risks of deploying autonomous AI agents in an enterprise — excessive agency, prompt injection, tool and MCP abuse, data exfiltration, and compliance exposure — and how to deploy safely.
Prompt Injection Prevention: A Practical Guide
Prompt injection prevention for AI agents: why input filtering fails, and the layered controls — isolation, least privilege, mediation — that actually work.
LLM Vulnerability Scanners Compared: What to Look For
LLM vulnerability scanners compared: what Garak, Promptfoo, PyRIT and DeepTeam actually cover, their limits, and how to choose one for agent security.
AI Supply Chain Security for Agent Systems
AI supply chain security for agent systems: how dynamic tool loading, model provenance, and poisoned dependencies create risk — and how to lock it down.
AI Agent Threat Modeling with the MAESTRO Framework
AI agent threat modeling with MAESTRO: a seven-layer method for finding agentic risks before you ship, mapped to OWASP, NIST AI RMF, and MITRE ATLAS.
MCP Tool Poisoning and the Confused Deputy Problem
MCP tool poisoning turns a trusted agent into a confused deputy. How poisoned tool descriptions drive credential theft — and the controls that stop it.
AI Agent Security Checklist 2026: 30 Controls for Production
30-point security checklist for production AI agents. Covers OWASP agentic top 10, identity, permissions, monitoring, and compliance mapping. Free PDF download.
AI Red Teaming Pricing 2026: From $8K, 2–4 Week Scopes
What AI red teaming costs in 2026: chatbot audits $8K–$15K, focused engagements $16K–$50K over 2–4 weeks, multi-agent $50K–$150K, continuous from $5K/mo.
EU AI Act Compliance Testing: What AI Agent Companies Need to Know
EU AI Act compliance for AI agents: risk classification, testing obligations, and enforcement timeline. How to prepare your LLM security audit before August 2026.
MCP Security: The Complete Threat Model for AI Agents
7+ attack vectors in the Model Context Protocol — from tool poisoning to shadow servers. Includes a hardening checklist for production MCP deployments.
NIST AI RMF Compliance Testing for AI Agents: A Practical Guide
Apply the NIST AI RMF to AI agent systems. Four core functions, CSA Agentic Profile extensions, and practical vulnerability assessment requirements.
OWASP Top 10 for AI Agents 2026: A Practical Testing Guide
OWASP LLM Top 10 testing guide for AI agents. Concrete test cases, pass/fail criteria, and red team tool recommendations for each agentic risk.
Securing AI Agents: The Complete Guide to Agentic AI Security in 2026
The definitive guide to AI agent security: attack surfaces, OWASP LLM Top 10, MCP risks, compliance frameworks, and a step-by-step red team assessment process.
We Red-Teamed Our Own AI Agent — Here's What We Found
We ran our 7-agent red team pipeline against our own AI agent system. 2 critical findings, 1 high — in a system we built. Full vulnerability assessment breakdown.