Visibility
You cannot govern what you cannot see.
Models and agents appear faster than teams can discover and classify them.
Enterprise AI GovernanceEverything you need to
Govern AI. Assure AI. Certify Agents.
Discover every AI system, assess contextual risk, prove verifiable assurance, and continuously certify autonomous agents from one trusted platform.
Continuous verificationAudit-ready evidence
Regulated industryHealthcare
Governance frameworkNIST AI RMF
Management systemISO/IEC 42001
Regulated industryFinancial Services
RegulationEU AI Act
Mortgage standardsMISMO
Regulated industryMortgage
Health AI frameworkCHAI
High-impact AIHR & Recruiting
Regulated industryPublic Sector
The challenge
AI operates at machine speed. Governance does not.
Annual reviews and static inventories cannot govern systems that learn, connect, and act continuously. Every delay creates a wider gap between innovation and assurance.
What changes when AI acts autonomously
Context
The context changes. So does the risk.
The same AI can be low-risk in one workflow and critical in another.
Control
Agents act before the next review.
Autonomous agents access data, invoke tools, and make decisions in real time.
Close the gap with continuous assurance.
Discover every system. Understand its context. Verify each decision.
The Platform
How CognitiveView turnsAI exposure into assurance
One connected workflow for discovering AI, applying governance, proving trust, and keeping every decision current.
AI inventory01
Discover
Build a living inventory of every AI system and autonomous agent.
Risk context02
Govern
Translate obligations into controls for every AI use case.
Decision context03
Assure
Connect evidence to risk and make defensible decisions.
Trust decision04
Certify
Prove readiness before systems and agents are trusted.
Live assurance05
Monitor
Keep assurance current as behavior and exposure change.
Decision intelligence
Turn AI risk intoevidence-backeddecisions.
CognitiveView connects requirements, risks, controls, evaluations, and evidence to determine whether an AI system is ready to operate in its intended context.
Trace every decision to its source evidence
Apply consistent assurance criteria
Keep authorization current as risk changes
01
Performance
Does it work in its intended context?
02
Assurance
Can its controls be proven with evidence?
03
Authorization
Should it be allowed to operate?
AI Assurance
Assurance that understands the use case.
Healthcare AI
Clinical assurance in context.
Evaluate clinical, patient-facing, and operational AI against patient safety, intended use, and human oversight requirements.
Patient safetyClinical validityHuman oversight
The AI Command Center
Control what your AI agents can do.
Give every agent a defined identity, purpose, tool boundary, permission model, and human escalation path.
Authority before action
Autonomy, with clear boundaries.
Define what is allowed.
Give each agent access only to the tools and data its purpose requires.
Scoped permissions
Keep people in control.
Route consequential decisions to the right reviewer before an agent proceeds.
Human approval
Stop actions outside the boundary.
Restrict unauthorized operations and preserve a traceable record of the decision.
Policy enforcement
A clear audit trail, from request to outcome.
Permissions stay accountable. Sensitive actions stay under human review.
Explore Agent Command CenterAgent CertificationExplore Agent Certification
Certify agentsbefore they act.
Evaluate identity, behavior, controls, and evidence against defined assurance criteria—then issue a certification state that remains continuously verifiable.
Scope bound to an approved use case
Evidence traceable to every decision
Automatically revalidated after material change
CognitiveView verified
Agent Assurance Certificate
Certified agent
Mortgage Underwriting Agent
AG-102 · Mortgage lending
Authorized to evaluate household loan applications within approved criteria and mandatory human oversight boundaries.
Risk tier
High impact
Evidence
Verified
Oversight
Required
Valid until
12 Mar 2027
Continuous revalidation activeCERT · 8F2A-91C7-442D
01
Identity
Purpose defined
02
Controls
Guardrails tested
03
Evaluation
Behavior verified
04
Evidence
Proof reconciled
05
Decision
Trust established
06
Revalidate
Assurance current
Use Cases
Govern AI where the stakesare highest.
Apply contextual governance and assurance where AI decisions carry meaningful human, financial, or public impact.
Explore all use cases
Patient safety
Healthcare
Assure clinical and patient-facing AI where safety, validity, and oversight directly affect care.
Credit access
Mortgage
Govern underwriting and credit decisions with evidence aligned to fair-lending obligations.
Financial outcomes
Financial Services
Control AI used in credit, risk, fraud, and consequential financial recommendations.
Explore use case
Employment decisions
HR & Recruiting
Evaluate screening and ranking systems for bias, transparency, and human review.
Explore use case
Public rights
Public Sector
Establish accountability for AI used in public services and administrative decisions.
Explore use case
Student impact
K–12 Education
Protect students when AI supports learning, evaluation, safety, or school operations.
Explore use case
Vulnerable users
AgeTech
Assure AI designed for older adults across care, independence, and financial wellbeing.
Explore use caseFrameworks & Regulations
One governance foundation.Multiple frameworks.
Map AI risks, controls and evidence to the frameworks and regulations relevant to your organization.
Explore all frameworksHealthcare AI
CHAI
Coalition for Health AI guidelines & clinical assurance.
Mortgage & Lending
MISMO
Mortgage Industry Standards Maintenance Organization.
Risk Management
NIST AI RMF
NIST Artificial Intelligence Risk Management Framework 1.0.
International Standard
ISO 42001
AI Management System standard for certified enterprise compliance.
Global Regulation
EU AI Act
Comprehensive high-risk classification and conformity dossiers.
HR & Hiring
NYC LL 144
Independent bias audits for Automated Employment Decision Tools.
State Regulation
Colorado AI Act
Consumer protection and algorithmic non-discrimination duties.
Continuously mapped across one shared control and evidence foundation · Hover or focus to pause
Developers
Build assurance intoAI development.
Evaluate AI, capture evidence, and enforce release controls inside the workflow your engineering teams already use.
01
Build
Connect models and agents
02
Evaluate
Test risk in context
03
Capture
Preserve audit evidence
04
Assure
Validate every control
05
Certify
Authorize before release
06
Deploy
Ship with guardrails
07
Monitor
Detect material change
Assurance APISDKsCI/CD integrations
Explore developer toolsContinuous Monitoring
Assurance doesn't endat deployment.
Continuously revalidate models, agents, permissions, controls, and evidence as their operating conditions change.
Explore continuous monitoring
Live assurance
Risk & Control Posture
AI Readiness Assessment
Start with one AI system.
Assess an AI system and understand its risks, controls, evidence, and readiness for production.
Risks
Understand exposure
Controls
Identify safeguards
Evidence
Verify the proof
Readiness
Decide with confidence
No platform commitment Evidence-backed findings Clear next-step plan