GenAI DLP & Zero-Trust AI pipeline controls as procurement must-haves
Key Questions
What does the Seemplicity report reveal about AI in security?
88% of enterprises use AI for security, but only 31% trust it. This highlights a trust gap despite widespread adoption.
What are key findings from the MIND report on AI security?
65% of enterprises lack confidence in data security controls for AI, even as 90% run GenAI at scale. Shadow AI contributes to 35% of breaches.
How is Microsoft enhancing Copilot security?
Microsoft expanded Copilot with DLP, oversharing remediation, and governance controls. These features address GenAI data loss prevention needs.
What is the status of OWASP's GenAI Security Project?
OWASP updated its GenAI project with a new tools matrix. It focuses on risks and defenses for generative AI in enterprises.
Why are GenAI DLP and Zero-Trust AI becoming procurement must-haves?
AI budgets are top priority at 59%, with 65-80% gaps in controls from FireTail/MIND. Frameworks like OWASP/NIST/DoD drive ZT AI roadmaps.
MS Copilot DLP expansions; Seemplicity 88% use/31% trust; FireTail/MIND 65-80% gaps/shadow; AI budgets #1 59%; ZT AI roadmaps; OWASP/NIST/DoD; Bedrock/Purview; BigID DSPM; Databricks DASF; Mimecast/iboss/SandboxAQ; NDSS; 35% shadow breaches.