AI & ML Security

The AI Gateway serves as the essential compute layer for GitLab Duo, making a sandbox escape particularly dangerous for organizations relying on AI-assisted coding. The discovery of CVE-2026-90970, which carries a near-perfect severity rating of 9.9 out of 10, marks a significant moment for the

Modern organizations face significant risks as sensitive information becomes increasingly fragmented across SaaS applications, AI agents, and complex cloud architectures. The rapid adoption of hybrid work models has created a sprawling attack surface where traditional perimeter-based security

The transition from passive security tools to autonomous agentic systems represents a fundamental shift in how organizations manage digital accountability and oversight. In the high-velocity environment of 2026, the volume of telemetry data produced by cloud-native infrastructures has exceeded the

In the high-stakes environment of Web3, agentic AI serves as a digital circuit breaker capable of pausing smart contracts the moment an exploit is detected. This development signifies a monumental shift in the cybersecurity landscape, where tools are no longer merely passive observers but active

While explicit instructions help an attacker remove legitimate data, the mere presence of forged text is often enough to insert misinformation into a summary. In the current landscape of 2026, professional productivity relies heavily on automated assistants that distill massive communication

By utilizing a self-healing operational ontology, the OMNI system continuously validates risk data against live operations to ensure guidance remains current without manual updates. Small and medium-sized enterprises frequently struggle with the sheer volume of telemetry generated by modern