Prompt Injection

  • 5 Best Practices for Securing AI Systems

    The rapid advancement of AI creates new cybersecurity challenges. Organizations must adopt a multi-layered defense strategy to protect AI systems, including strict access and data governance, defending against AI-specific threats, maintaining ecosystem visibility, consistent monitoring, and a clear incident response plan. Leading providers like Darktrace, Vectra AI, and CrowdStrike offer solutions to bolster AI security.

    2026年4月2日
  • Top AI Security Platforms for Enterprise: 2026 Rankings

    AI is transforming cybersecurity, accelerating threats and creating new challenges. AI security platforms in 2026 focus on securing enterprise AI usage, protecting AI models and infrastructure, and defending against AI-powered attacks. Leading solutions from Check Point, CrowdStrike, Cisco, Microsoft, and Okta offer distinct strengths in unified security, endpoint integration, network visibility, signal scale, and identity governance, respectively, to address this evolving landscape.

    2026年3月3日
  • AI: The New Attack Surface

    Boards are demanding productivity gains from enterprise AI, but features like web browsing and application connectivity introduce cybersecurity risks, including indirect prompt injection attacks. Tenable research highlights these vulnerabilities, potentially enabling data exfiltration and malware persistence. Mitigation requires treating AI assistants as distinct IT entities, subject to rigorous audit and zero-trust controls, including a comprehensive AI system registry and context-aware feature constraints. Organizations must invest in training and continuous monitoring to proactively address emerging threats and evolving vendor security postures.

    2025年11月21日