Topic: AI Risk Management

  • How to Secure Shadow AI Without Blocking Innovation

    Shadow AI, or the use of unsanctioned AI tools, embedded copilots, and agentic workflows operating outside IT and security oversight, has become operating reality at virtually every enterprise. Microsoft’s Work Trend Index reports that 78% of AI users at work are bringing their own tools to the job, usage that sits almost entirely outside corporate…

  • The Top AI Security Platforms for Detecting AI Agents

    As AI agents move from pilot programs to production workloads, security teams must detect autonomous systems that access sensitive data, call APIs, and take actions across enterprise environments, often without centralized oversight. According to the 2026 Cost of Insider Risks Global Report, nearly half of organizations report minimal to no visibility into AI agent activity…

  • AI Security Platforms: What to Look For in 2026

    AI is now embedded in nearly every enterprise workflow, and the security stack built to protect it is racing to catch up. The AI Cybersecurity Solutions market is on track to hit USD 86.34 billion by 2030, but threats are advancing faster than defenses are improving. Cisco’s 2025 Cybersecurity Readiness Index found that 86% of…