Blog
Introducing DOM-0.8B
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Securing Agentic AI: Evaluating the Muse Spark 1.1 Sandbox Incident
Recent unauthorized access incidents involving frontier AI models emphasize the necessity of rigorous testing environment isolation. By implementing strict configuration controls and continuous monitoring, organizations can safely evaluate agentic models without exposing external systems.
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Evaluating the Efficacy of AI-Generated Security Patches
Recent data indicates that AI-generated patches successfully resolve vulnerabilities less than half the time, often introducing new defects. Security teams can maintain the productivity benefits of AI by pairing generation tools with rigorous human validation and formal verification.
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Addressing the coordination gap: Enhancing law enforcement and industry collaboration
Security experts at Black Hat USA 2026 outlined how AI and affiliate models are enabling threat actors to scale their operations, requiring a more cohesive, structural response from law enforcement and the security community.
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Building a Security-First Culture: Methodologies From the Democratic National Committee
Former and current security leaders from the Democratic National Committee share how they established a resilient security culture, focusing on hardware keys, cloud infrastructure, and executive co-ownership.
- Introducing DOM-0.8B DOM-0.8B and VAKT bring code-security review to your machine, helping you prioritise what to investigate before production.
- Vakttårn A vulnerability-identification and solution model for scans that need resolution.
- Minisøk A fast vulnerability-identification model for scans that need findings without generated solutions.