POLICY-RELIANT DLP FAILS AGAINST SHADOW AI
Co written by: G. Mark Hardy (CISO Tradecraft) & Daniel Bass (ORION)
TRADITIONAL, policy-reliant DLP CAN’T KEEP up WITH AI DRIVEN DATA RISK - especially if you're unaware of it
Sensitive data is moving faster than ever across endpoints, SaaS platforms, and AI tools - sanctioned and unsanctioned. The threat of AI-driven data loss exposed the inefficiencies of legacy DLP solutions, leaving security professionals with an impossible choice: block productivity, or risk exfiltration.
This whitepaper explores why static rules are no longer enough in the era of AI. Based on industry research and real-world enterprise challenges, it examines how AI bypasses traditional controls and what security leaders can do to safely adopt AI while preventing the exfiltration of sensitive data.
Read this report to learn about:
- SHADOW AI as A NEW type OF DATA LOSS threat
- HOW AI WORKFLOWS BYPASS POLICY-BASED DLP CONTROLS
- HOW TO ENABLE AI adoption WITHOUT risking data loss
- how can ai help achieve CONTEXT-AWARE data security without policy reliance.