Shadow AI leaks data to uncontrolled external systems and spreads virally across organizations, requiring user training and compliant alternatives rather than prohibition.  ...

From prompt injection to cascading agent failures, GenAI expands the enterprise attack surface. A governance-first, security-focused approach—rooted in trusted data, guardrails, and ongoing oversight—is now critical for responsible AI adoption ...

AI’s mosaic effect turns harmless data into sensitive insight. Learn why traditional access control fails and how REBAC secures AI-driven environments ...

AI’s growth exposes new risks to data in use. Learn how confidential computing, attestation, and post-quantum security protect AI workloads in the cloud ...

A new Vanta survey of 3,500 IT and business leaders reveals that 72% believe cybersecurity risks have never been higher due to AI. While 79% are using or planning to use AI ...

As the U.S. debates AI regulation, Europe and China forge ahead. Explore global philosophies shaping how governments define and control artificial intelligence ...

Multimodal AI delivers context-rich automation but also multiplies cyber risk. Hidden prompts, poisoned pixels, and cross-modal exploits can corrupt entire pipelines. Discover how attackers manipulate multimodal inputs—and the governance, testing, and incident ...

As autonomous AI agents spread across enterprise systems, a new risk emerges: Shadow AI. Learn why traditional controls fail and how to secure agentic AI ...

As enterprises adopt AI agents at scale, security must evolve beyond policies and human oversight. From protecting enterprise data and preventing prompt injection to enforcing permission boundaries and agent guardrails, platform providers—not ...

As AI agents become the new digital workforce, traditional zero-trust models fall short. Enterprises face an Access-Trust Gap that demands new runtime governance. Agentic Identity and Security Platforms (AISP) provide dynamic controls ...