This platform demo shows how to bring order to the chaos of NHIs, reduce risk, and empower your teams to move faster and safer. Discover how GitGuardian finds leaked secrets everywhere (code, CI/CD, docs, containers), enforces policies for NHI governance, and enables efficient, automated remediation. Get critical analytics to improve your security posture. GitGuardian scales with your organization via SaaS or self-hosted options.
GitGuardian, the leader in automated secrets detection and remediation, today announced the launch of its Model Context Protocol (MCP) Server, a powerful new infrastructure designed to bring AI-assisted secrets security directly into developer environments. As intelligent agents begin to reshape the software development landscape, GitGuardian's MCP server marks a pivotal shift in aligning security practices with an environment where code is shipped faster than ever.
Empower your developers with GitGuardian's new MCP Server. Embed AI-driven secrets security directly into your IDE, streamline incident remediation, and secure code in real time.
Laravel APP_KEY leaks enable RCE via deserialization attacks. Collaboration with Synacktiv scaled findings to 600 vulnerable applications using 260K exposed keys from GitHub. Analysis reveals 35% of exposures coincide with other critical secrets including database, cloud tokens, and API credentials.
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.
Agents with MCP servers access your services like databases or Google Drive, increasing the risk due to the secrets volume and lack of control. Explore the challenges of governing these autonomous agents and best practices for limiting agent scope and preventing unintended data exposure.
Security teams are still drowning in alerts. Solution? Leverage machine learning to prioritize your secrets risks! Discover how we use proprietary models that analyze the context in which your incidents occur, score their severity level, and generate clear explanations and guidelines that empower your team to focus on what matters most.
This talk reveals insights from a recent campaign that scanned 15 million public DockerHub images and 16 million layers. We downloaded over 30TB of data, uncovering over 100,000 valid secrets providing unauthorized access to protected resources.
From malware markets to IAM frameworks, BSides SATX 2025 showed why modern security must evolve from static protection to identity-centric, adaptive defense.