AI Agents Authentication: How Autonomous Systems Prove Identity
AI agents need to authenticate with numerous systems, making AI authentication a crucial security boundary that determines blast radius, revocability, and long-term governance risk.
When We Use AI To Ship Fast, Secrets Spread Fast
The data from this year's State of Secrets Sprawl report shows that AI is not creating a new secrets problem; it is accelerating every condition that already made secrets dangerous.
Claude Code Security: Why the Real Risk Lies Beyond Code
Anthropic's Claude Code Security launch sent shockwaves through cybersecurity markets. As GitGuardian's CEO, here's why I believe the real battle has shifted from code vulnerabilities to identity and secrets management in the AI era.
Shifting Security Left for AI Agents: Enforcing AI-Generated Code Security with GitGuardian MCP
In this article, we will explore the hot topic of securing AI-generated code and demonstrate a technical approach to shifting security left for cloud AI agents by using Model Context Protocol (MCP) tools.
Building a Multi-Agent Security Pipeline with Google's A2A Protocol and GitGuardian
I built a demo showing how to wire up multiple AI agents using Google's Agent Development Kit (ADK) and the A2A protocol, with GitGuardian scanning content for secrets.
From Path Traversal to Supply Chain Compromise: Breaking MCP Server Hosting
We found a path traversal vulnerability in Smithery.ai that compromised over 3,000 MCP servers and exposed thousands of API keys. Here's how a single Docker build bug nearly triggered one of the largest AI supply chain attacks to date.
OAuth for MCP - Emerging Enterprise Patterns for Agent Authorization
Why agents break the old model and require rethinking traditional OAuth patterns.
Probably Secure: A Look At The Security Concerns Of Deterministic Vs Probabilistic Systems
Learn why deterministic security remains essential in an AI-driven world and how GitGuardian combines probability and proof for safe, auditable development.
Agent-Based AI and the Machine Identity Revolution Are Reshaping Security
Is agentic AI the productivity revolution we've been waiting for, or a security nightmare in the making? With AI agents now outnumbering humans and secrets proliferating across enterprise systems, the answer isn't simple. Read our insights from SecDays {France} 2025.
Operationalizing the OWASP AI Testing Guide with GitGuardian: Building Secure AI Foundations Through NHI Governance
Align your AI pipelines with OWASP AI Testing principles using GitGuardian’s identity-based insights to monitor, enforce, and audit secrets and token usage.
Automated Guard Rails for Vibe Coding
Vibe coding might sound like a trendy term, but it's really just developing software without automated checks and quality gates. Traditional engineering disciplines have always relied on safety measures and quality controls, so vibe coding should be no different in my honest opinion.
Building a Secure LLM Gateway (and an MCP Server) with GitGuardian & AWS Lambda
How I wrapped large-language-model power in a safety blanket of secrets-detection, chunking, and serverless scale.
