AI Risk Frameworks
Agentic AI Systems Under Current Risk Classification Schemes
Current risk frameworks miss the five dimensions that make agentic AI uniquely dangerous.
Lieselotte Baumann
· 10 min read
AI Governance Quarterly — Page 3
Measuring Shadow AI Prevalence in Enterprise Workforces
Different measurement methods reveal vastly different shadow AI prevalence numbers.
Marcus Osei-Bonsu
AI Agent Proliferation Outside IT-Sanctioned Channels
Autonomous agents execute actions faster than security teams can discover them.
Marcus Osei-Bonsu
Continuous Monitoring of Third-Party AI Vendor Risk Posture
Continuous monitoring catches AI vendor changes that static audits miss.
Priya Nandakumar
Browser-Based AI Extensions and Enterprise Data Leakage
AI extensions request dangerous permissions at three times the typical rate.
DeShawn Calloway
AI Tool Sprawl Risks in Finance Departments
Uncoordinated AI agents in finance create audit, credential, and data quality risks at scale.
DeShawn Calloway
Insider Risk Scenarios Enabled by Unsanctioned AI Tools
DeShawn Calloway
Shadow AI Discovery in Large Enterprises
Unapproved AI tools at work leak data on a schedule, not just once.
Lieselotte Baumann