AI Security
mcp-scan: detecting malicious MCP tool definitions
MCP lets AI agents call tools via plain-text descriptions the model trusts blindly. Here's how mcp-scan catches poisoning, rug-pulls, and shadowing.
Jun 13, 20266 min read
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Can AI write secure code? Auditing AI-generated code
AI writes code fast, but studies from 2021 to 2025 show it also reproduces insecure patterns and invents fake dependencies. Here's what the data says.
Jun 13, 20267 min read
AI Security
GitHub Copilot code security: XSS vulnerabilities found in React
Copilot commonly suggests dangerouslySetInnerHTML and unsanitized DOM writes in React. Here's the data on AI-generated XSS risk and how to catch it.
Jun 13, 20267 min read
AI Security
How Copilot amplifies insecure codebases
Copilot writes ~46% of code where enabled, and studies show ~40% of its security-relevant suggestions are vulnerable. Here's the data on the risk.
Jun 12, 20266 min read
AI Security
How to Audit the Dependencies of an AI Agent
An AI agent's dependency tree spans packages, MCP servers, models, and system prompts. A step-by-step audit method that actually enumerates all four layers.
Jun 12, 20266 min read
AI Security
AI-Generated Code Security: risks and controls
AI now writes up to 40%+ of new code, and models hallucinate nonexistent packages in 5-22% of outputs. Here's why Black Duck-style SCA misses that risk, and what controls actually work.
Jun 12, 20267 min read
AI Security
5 best practices for adopting GitHub Copilot securely
GitHub Copilot has 1.3M+ paid seats. Five concrete, evidence-based practices for locking down content exclusion, licensing, code quality, and prompt injection risk.
Jun 12, 20267 min read
AI Security
AI hallucinations and their security implications for developers
LLMs hallucinate nonexistent packages in up to 1 in 5 code samples — and slopsquatting attacks are already exploiting that predictability in the wild.
Jun 12, 20266 min read
AI Security
GenAI Code Review Tools: A 2025 Field Test
We field-tested five GenAI code review tools against 240 seeded security defects to see which catch real issues and which hallucinate findings.
Jun 11, 20264 min read
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