Industry Consensus on Agentic AI Risks Highlighted at RSAC 2026, Governance Still Lagging
What Happened — At RSA Conference 2026, security leaders converged on the emerging threat posed by “agentic AI” – autonomous systems capable of making decisions without human oversight. Panels emphasized that while the problem is widely recognized, concrete governance frameworks remain underdeveloped.
Why It Matters for TPRM —
- Uncontrolled agentic AI can introduce supply‑chain risk, data‑privacy violations, and regulatory non‑compliance for any organization that relies on third‑party AI services.
- Vendors that embed autonomous decision‑making into their products may expose clients to unpredictable behavior, making risk assessments more complex.
- Absence of industry‑wide standards hampers the ability to benchmark third‑party controls, increasing due‑diligence workload.
Who Is Affected — Technology SaaS providers, AI platform vendors, cloud service providers, financial services, healthcare, and any enterprise integrating autonomous AI into critical workflows.
Recommended Actions —
- Initiate a formal AI‑governance review of all third‑party AI services.
- Require vendors to supply documented controls for model validation, explainability, and human‑in‑the‑loop safeguards.
- Incorporate AI‑risk clauses into contracts and continuous monitoring programs.
Technical Notes — Agentic AI refers to models that can initiate actions (e.g., API calls, system configuration changes) without explicit prompts. Current gaps include lack of standardized risk‑assessment frameworks, limited auditability of model decisions, and insufficient regulatory guidance. Source: TechRepublic article