Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The UK Government's Open Letter on AI Cyber Threats Underscores the Need for Measurable Security

A recent open letter from the UK government on AI-driven cyber threats highlights a clear shift in the threat landscape. Cyberattacks are no longer constrained in the same way by human expertise, as advanced AI models can now help identify vulnerabilities, generate exploit code, and increase the speed and scale of attacks.

Navigating With GitGuardian Workspace Quick Access

GitGuardian Workspace Quick Access helps you move through the platform faster with one unified search experience. In this video, we walk through how to open Quick Access with Ctrl+K, or Cmd+K on Mac, search across platform pages and public documentation, navigate results with keyboard shortcuts, and jump directly to the section you need. Quick Access respects your permissions and workspace configuration, so results stay relevant to the pages, features, and docs available to you.

Why Purpose-Built Architecture Wins in AI Agent Governance

Gartner named Zenity the company to beat in the AI Agent Governance category in its AI Vendor Race: Zenity Is the Company to Beat in AI Agent Governance report as of 17 April 2026. The evaluation covered technical capabilities, customer implementations, business model, and ecosystem strength. That methodology matters because for us, it means the recognition reflects what the platform actually does in production, not just how well a demo lands.

Why "Block All PII" Is the Wrong Answer: Handling Sensitive Data in MCP Systems

If your first instinct when connecting an LLM to enterprise systems via MCP is to strip out all personally identifiable information, you’re building a system that is useless. The “block all PII” approach sounds responsible. It checks a compliance box. But it fundamentally misunderstands what MCP-based AI systems do and why they need data in the first place. The real engineering challenge is not blocking data.

Announcing LimaCharlie Case Management: Built for agentic security workflows

Security operators often struggle with the escalating friction that naturally occurs in their detection and response (D&R) workflow. Detections fire in one tool. Investigations happen in another. Case tracking lives in a third. For MSSPs managing dozens of client environments, fragmentation compounds quickly. Analyst time bleeds into context-switching. SLAs are hard to track. When something goes wrong, reconstructing what happened across multiple platforms is painful.