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Report
Management and Leadership

The Security, Privacy and Compliance Implications of Agentic AI

Jason Robbins

Agentic AI deployments are accelerating, with enterprise-critical implementations expected by 2026. Leading organizations are establishing AI governance councils and embedding compliance into pipelines.

Organizations treating agentic AI like traditional software are walking into regulatory minefields—from GDPR's "high-risk" classifications to state privacy laws requiring automated decision-making opt-outs.

This document addresses your most pressing concerns:

  • Practical guardrails: Implement non-human identity governance, autonomy boundaries, and human oversight frameworks that actually work.
  • Audit-ready documentation: Build consent handling, explainability, and traceability into AI systems from day one.
  • Regulatory readiness: Navigate EU AI Act, GDPR, CCPA, and emerging state privacy laws before they become costly surprises.

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