Continuum GRC: Agentic AI Turns Governance Into a Runtime Control Discipline

New standards work and industry transparency reporting put identities, permissions, monitoring, and verifiable security baselines at the center of AI assurance.

SCOTTSDALE, AZ, UNITED STATES, September 10, 2026 /EINPresswire.com/ — As organizations move from generative AI pilots to agents that can use tools, access data, retain memory, and take actions, Continuum GRC today highlighted the need to extend AI governance beyond predeployment reviews. The International Telecommunication Union’s September 7 workshop on secure agentic AI is examining identity spoofing, unauthorized tool execution, goal hijacking, supply-chain poisoning, runtime audit, and the security evidence integrators should require from suppliers. Microsoft’s 2026 Responsible AI Transparency Report, published September 1, similarly describes governance controls centered on agent identities, tool permissions, action monitoring, and continuous lifecycle evaluation.

For boards and risk leaders, the practical issue is control persistence. An approval made at launch may not explain what an agent was permitted to do later, which tool it invoked, what data it reached, or whether a changed model or integration altered the risk profile. A review-ready program should therefore connect each agent and use case to an accountable owner, approved purpose, data boundary, tool inventory, permission model, risk assessment, test evidence, monitoring rule, and incident path.

The same evidence should be usable across security, privacy, compliance, model risk, procurement, and internal audit. Organizations can reduce blind spots by mapping agent-specific safeguards to common control objectives, recording supplier assurances, and tracking exceptions and remediation in one governed workflow. Runtime events and evaluation results can then feed control monitoring, allowing leaders to see whether policy is being followed in operation rather than relying only on design documents or annual attestations.

This approach does not assume that standards for agentic AI are already settled. The ITU workshop itself is intended to identify gaps and priorities. That uncertainty makes traceability more valuable: organizations with a current AI inventory, versioned controls, documented decisions, and reusable evidence can adapt more efficiently as technical practices and regulatory expectations mature.

“Agentic AI changes the unit of governance from a model on a checklist to a system acting through identities, permissions, tools, and data. Executives need evidence that those controls continue to work as the system changes. A connected GRC program makes that evidence reviewable, assignable, and useful across the full assurance lifecycle.” – Michael Peters, Founder and CEO of Continuum GRC

About Continuum GRC

Continuum GRC is the enterprise SaaS platform developed by Lazarus Alliance that automates and accelerates Governance, Risk, and Compliance (GRC) programs. Built on the proprietary IT Audit Machine^® (ITAM) and A.ITAM frameworks, Continuum GRC is FedRAMP Authorized at the Moderate baseline and delivers continuous control monitoring, automated evidence collection, risk scoring, dashboards, and AI-powered assessment capabilities through AITAMBot. Organizations use Continuum GRC to streamline CMMC, FedRAMP, SOC 2, NIST, ISO, PCI DSS, CJIS, and other frameworks—reducing audit timelines, improving accuracy, and enabling faster authorization and certification outcomes.

Michael Peters
Continuum GRC, Inc.
+17628224174 ext.
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