Enterprise AI has moved from experimentation to execution.

Predictive models, Generative AI, and increasingly Agentic AI systems are now embedded directly into core business processes — from healthcare diagnostics and credit decisioning to claims automation, fraud detection, and autonomous customer support.

Most enterprises already rely on RSA Archer as their system of record for Governance, Risk, and Compliance (GRC). Archer provides strong foundations for policies, controls, issues, incidents, audits, and regulatory reporting.

But AI introduces a new reality:

AI risk is dynamic. It changes continuously in production.

Traditional GRC platforms were never designed to observe live AI behavior. This creates a growing gap between governance intent (what policies and controls say) and actual AI behavior (what models are really doing).

That gap is exactly where CognitiveView and Archer work together to deliver end-to-end AI governance with real assurance.

Archer and CognitiveView: Complementary by Design

CognitiveView does not replace Archer.
It extends Archer precisely where AI demands capabilities beyond traditional GRC.

• Archer remains the authoritative system of record
  • Policies, risks, controls
  • Issues, findings, incidents
  • Compliance registers and audits
• CognitiveView acts as the system of continuous AI assurance
  • Live evaluation of AI performance, safety, and security
  • Automated Continuous Control Monitoring (CCM)
  • Audit-ready technical evidence generation

Together, they close the loop between policy, risk, and real-world AI behavior

Why This Matters for Archer GRC Customers

Archer customers already have mature governance programs.
What they lack is AI-native visibility and evidence.

CognitiveView is purpose-built to strengthen Archer deployments by adding:

1. Continuous Assurance Without Changing GRC Workflows

Risk, compliance, audit, and security teams continue to work entirely inside Archer.

• Findings are created in Archer
• Incidents follow Archer escalation workflows
• Evidence lives in Archer repositories
• Reporting and audits remain Archer-native

CognitiveView simply feeds trusted, AI-specific assurance data into Archer in real time

2. Alignment to the Full AI Deployment Lifecycle

AI risk depends heavily on where the system is in its lifecycle.

CognitiveView aligns governance and assurance across every stage:

• Design & Intent
  Purpose definition, use-case classification, initial risk profiling
• Development & Training
  Dataset lineage, pre-deployment evaluations, fairness and safety checks
• Deployment
  Compliance gates, release readiness, production validation
• Operation
  Drift, hallucination, bias, safety, and security monitoring
• Retirement
  Evidence archiving, traceable decommissioning

Archer maintains lifecycle governance.
CognitiveView supplies live technical evidence at every stage.

Context-Aware AI Risk Identification

Not all AI systems carry the same risk.

CognitiveView includes specialized modules that identify and score AI risk based on real deployment context, including:

• Use case
  (e.g. healthcare diagnostics vs marketing chatbots)
• Deployment approach
  • Internal vs third-party AI
  • Human-in-the-loop vs fully automated
  • Decision-support vs decision-making
• Data sensitivity
  PII, PHI, regulated or proprietary data
• Operational exposure
  External users vs internal users, production vs sandbox

This allows Archer GRC teams to move beyond generic risk labels and adopt use-case-driven, regulation-aligned AI risk classification, including identification of high-risk AI systems under frameworks such as the EU AI Act

Native Integration Across the Enterprise AI Stack

Archer customers operate complex and diverse AI environments.
CognitiveView is designed for this reality.

CognitiveView integrates across:

• Cloud AI services
• MLOps platforms
• LLM-based and agentic applications
• Custom ML pipelines
• Third-party AI security and red-teaming tools

Signals from across the AI stack are normalized and mapped directly to:

• Archer Applications
• Archer Control Procedures
• Archer Findings and Incidents

This ensures Archer always reflects the current, real-world AI risk posture, not static or point-in-time assessments.

Continuous Control Monitoring (CCM) Built for AI

Traditional Continuous Control Monitoring works well for IT controls.
AI requires something different.

CognitiveView enables automated CCM for AI systems, including:

• Performance drift detection
• Hallucination and stability thresholds
• Bias and fairness metrics
• PII leakage checks
• Prompt injection and jailbreak testing

When controls fail:

• Control status updates in Archer
• Findings are automatically created
• Evidence is attached and timestamped
• Accountability and remediation are tracked

This transforms Archer from a static governance registry into a living AI governance system

Evidence-First Compliance for AI Regulations

Regulators increasingly expect verifiable technical evidence, not policy statements.

CognitiveView supplies audit-ready evidence to support Archer compliance registers aligned with:

• ISO/IEC 42001
• EU AI Act
• NIST AI Risk Management Framework
• Colorado AI Act
• India DPDP Act
• Industry-specific frameworks (finance, healthcare, insurance)

Archer manages obligations and reporting.
CognitiveView delivers the proof regulators expect.

The Bottom Line

Together, Archer and CognitiveView deliver an end-to-end AI governance and assurance architecture that enables:

• Continuous visibility into live AI behavior
• Context-aware AI risk identification
• Automated evidence generation
• Stronger audit and regulatory confidence
• Safe, scalable deployment of enterprise AI

Archer governs AI. CognitiveView ensures AI behaves as governed.

That is how enterprises move from AI policy to AI trust — at scale.