Security Intelligence for the AI Era
Research, engineering deep-dives, CISO guides, and product walkthroughs, everything you need to understand, evaluate, and deploy AI security at enterprise scale.
The 2026 AI Threat Landscape Report
A comprehensive analysis of every major threat vector targeting AI systems in production, from prompt injection and RAG poisoning to MCP exploits, supply chain compromise, and multi-agent privilege escalation. Includes real-world attack examples, detection patterns, and a framework for assessing your organization's AI security posture.
The 7 Ways Agents Get Compromised
Code execution, browser sessions, RAG poisoning, delegation chains, MCP scope, supply chain, and cross-channel injection: mapped to real attack examples across the modern agentic threat surface.
RAG Poisoning: The Silent Attack on AI Memory
A single malicious document in your vector store injects instructions into every future retrieval. How it works, how to detect it, and how QuilrAI blocks it.
Why Your Firewall Doesn't Speak MCP
Traditional security tools were built for HTTP and humans. MCP, tool calls, and agent delegation chains speak a different language, one they can't parse.
Browser Agents Are Reading Your Passwords
Claude Computer Use and Browser-Use agents take screenshots of your full desktop. What's in frame, what leaks, and how scope isolation prevents it.
43% Token Savings: Inside the LLM Gateway
System prompt deduplication, semantic caching, and intelligent model routing cut token consumption dramatically. A detailed breakdown of every optimization.
Dynamic Tool Calling: How We 2× MCP Tool Usage
Instead of loading all 150+ MCP tools upfront, QuilrAI injects only the tools relevant to each request. The result: more calls, lower context bloat.
One base_url Change. Your AI Gets Secure.
The entire QuilrAI integration is a single base URL swap. No SDK rewrite, no prompt changes, no agent refactor. Here's what happens the moment you flip it.
MCP Authentication: What the Spec Doesn't Cover
MCP 1.0 has no authentication standard. Here's how QuilrAI fills the gap with mutual TLS, per-tool permission scoping, and server identity verification.
CISO Briefing: Governing Employee AI in 2026
ChatGPT, Claude.ai, Copilot in Teams, employees use all of it, with or without approval. A practical framework for getting visibility and control without blocking productivity.
The Enterprise AI Security Checklist
12 questions every CISO should be able to answer about their AI deployment. How many can you answer today? Use this as a readiness assessment.
How Guardian Agents Work: A Technical Walkthrough
From one-sentence purpose to full governance in 6 phases. This post walks through every step of the Guardian setup process with real examples.
Red Team Agents: Continuous Attack Testing 24/7
A dedicated Red Team Agent probes the Guardian and the agent it governs every hour. When it finds a gap, the Guardian auto-updates. Here's the architecture.
New AI threat research, every two weeks.
Attack breakdowns, governance frameworks, and engineering deep-dives, straight to your inbox. No spam.
Can't find what you need?
Our security team can walk you through specific use cases, threat models, and integration patterns tailored to your environment.