AI inventory
Register use cases, models, agents, owners, data, vendors, versions, tools and deployment environments.
AI governance program
Govern AI at the speed it can act.
SentinelBridge helps organizations move from isolated AI experimentation to an accountable operating model for use cases, models, data, agents, decisions, tools and human oversight.
Leadership credentialsCCACCPCISACISMPMPITILProgram coverageSOC 2 MonitoringHIPAA ProgramPCI DSS Readiness
SBAI assurance
1Inventory
2Classify
3Govern
4Observe
5Assure
6Improve
Program architecture01 02 03 04 05 06
Six capabilities for governed AI.
Risk classification
Assess impact, autonomy, reversibility, sensitive-data exposure, regulatory significance and customer commitments.
Human oversight
Choose human-in-the-loop approval or human-on-the-loop monitoring for each action—not once for the entire agent.
Identity and access
Give each agent attributable credentials, allow-listed tools, least privilege and separation from approval authority.
Evidence and observability
Capture inputs, rationale, prompts, tool calls, permissions, approvals, actions, outcomes and exceptions by design.
Lifecycle assurance
Apply testing, change control, drift monitoring, incident response, periodic review and independent challenge.
Governed agentic control loop
Make every autonomous decision traceable.
1SenseAuthorized signals and lineage
2AnalyzeModel, confidence and policy
3DecideRationale and threshold
4ActApproved tools and identity
5LearnControlled change and review
Human accountability remains explicit throughout the loop. High-impact or difficult-to-reverse actions require stronger approval, monitoring, intervention and evidence.
The human line
Oversight proportional to impact and reversibility.
- Human-in-the-loop approval for high-impact, regulated or hard-to-reverse actions
- Human-on-the-loop monitoring for bounded, reversible, high-volume activity
- Dual approval for the most consequential irreversible actions
- Named owner, escalation SLA and rehearsed kill switch for every agent
- No self-approval: builders, operators, approvers and independent reviewers remain separated
ImpactClassified
ReversibilityAssessed
Human lineDefined
InterventionTested
AI risk dashboard
Twelve failure modes to anticipate.
01Drift02Prompt injection03Tool abuse04Misaligned objectives05Data leakage06Bias07Over- or under-triggering08Dependency outages09Version creep10Shadow agents11Control bypass12Silent failure
Guardrail pattern: pair a preventive control with a detective control for each material failure mode—for example, isolate instructions and sanitize inputs while also monitoring anomalous prompts and outputs.
Audit-ready evidence
Capture the decision, not only the outcome.
Decision records
Inputs, policy reference, confidence, rationale, chosen action and outcome.
Prompt and tool history
Instructions, context, model/version and every tool or API invocation.
Access evidence
The exact agent identity, credentials, permissions and entitlements exercised.
Human checkpoints
Approver identity, timestamp, override, intervention and segregation-of-duties evidence.
Threshold events
Breaches, automated stops, escalation routes, response times and resolution.
Performance and risk
Cycle time, override and false-positive rates alongside drift, missing rationale and incomplete-evidence indicators.
Adoption roadmap
Pilot, controlled scale, continuous assurance.
1PilotOne bounded use case, full human approval, baseline measures and early audit review
2Controlled scaleTuned thresholds, formal policy, RACI, KRIs and monitored autonomy
3Continuous assurancePortfolio inventory, risk register, version control and independent review
This conference-informed operating model incorporates lessons from the 2026 GRC session “Agentic AI in GRC: Where Do We Draw the Human Line?” and aligns them with established governance references such as NIST AI RMF, ISO/IEC 42001 and applicable AI laws. SentinelBridge’s wording and program design are original; framework and legal applicability must be confirmed for each organization.
Tailored scope · Clear assumptions
Turn the requirement into a practical CaaS roadmap.
Share your framework, deadline, environment and business driver.