Build AI Systems You Can Defend.
Proof-of-Trust™ (PoT™)
Patented pre-execution AI validation with cryptographic attestations — block unsafe decisions before they run.
Pre-execution AI validation + cryptographic attestations for finance, healthcare, and regulated systems.
Cryptographic pre-execution attestation framework for AI decision validation — the only patented multi-dimensional trust protocol.
Proposal
AI Decision Submitted
Validation
4D Analysis <100ms
Trust Score
Pass/Fail Determination
Attestation
Cryptographic Proof
What you'll see in <60 seconds:
- ✓ Live trust score calculation
- ✓ Cryptographic attestation file
- ✓ Regulatory compliance log
Powered by Sentinel AI Advisory
Why SentinelPoT
Prevent Failures
Pre-execution validation blocks unsafe AI decisions before they cause damage. Stop errors in finance, healthcare, and infrastructure before they happen.
Satisfy Regulators
Built-in compliance checks and immutable audit trails meet SEC, FDA, FINRA, and HIPAA requirements. Defend your decisions with cryptographic proof.
Protect Reputation
Defensible, explainable, and resilient AI systems maintain stakeholder trust. Deploy AI where consequences matter with confidence.
How Proof-of-Trust™ (PoT™) Works
Four parallel validation dimensions execute in <100ms, blocking unsafe decisions before execution and issuing cryptographic attestations for approved actions.
AI Decision Proposed
Agent submits action for validation
Parallel Validation
Trust Score
Composite risk assessment
Approve / Reject
Execute or escalate
Proof-of-Guardrails™ (PoG™)
What: Policy constraints and hard-stop violations
How: Pre-execution boundary enforcement prevents unsafe actions before they cause damage
Result: Zero tolerance for policy violations
Proof-of-Explainability™ (PoE™)
What: SHAP, LIME, and fidelity metrics
How: Generate machine-verifiable explanations with human-readable narratives
Result: Defend every decision to regulators and stakeholders
Proof-of-Resilience™ (PoR™)
What: Adversarial testing and drift detection
How: Continuous stress-testing ensures models resist attacks and maintain integrity
Result: Protection against data poisoning and model manipulation
Proof-of-Compliance™ (PoC™)
What: Live regulatory oracle integration
How: Auto-updating rules validate against FDA, SEC, FINRA, HIPAA, GDPR in real-time
Result: Always compliant, even as regulations change
Output: Cryptographic PoT™ Attestation
Every approved decision receives a tamper-proof attestation containing decision hash, validation scores, timestamp, and digital signature—creating an immutable audit trail for regulatory defense.
Real-World Use Cases
How Proof-of-Trust™ (PoT™) would have prevented catastrophic AI failures
Note: The following are hypothetical remediation examples based on publicly documented incidents. PoT™ capabilities are illustrated for educational purposes to demonstrate potential preventative applications.
Housing: Greystar / RealPage Rent-Setting Lawsuit ($141M Settlement)
Greystar and 25 other firms paid $141M to settle claims they used RealPage's algorithm to coordinate rent prices, inflating rents and reducing competition.
- Lack of Transparency: No clear rationale for rent increases
- No Guardrails: Algorithm maximized revenue but ignored antitrust rules
- No Real-Time Auditability: Issues discovered only after years of harm
- Consensus Gap: No external validators or regulators in-loop
- PoG™: Encode antitrust rules directly into rent-setting logic
- PoE™: Rent adjustments tied to machine-verifiable rationale
- PoC™: Real-time checks via regulatory oracles
- Consensus Validators: External auditors/regulators validate before execution
- PoR™: Stress-test system for collusion scenarios
Finance: Wells Fargo Fake Accounts Scandal ($3B in Fines)
Wells Fargo created millions of fake accounts to hit sales metrics, leading to $3B fines and reputational collapse.
- Lack of Guardrails: Incentives pushed fraud without checks
- No Auditability: Millions of accounts went unverified
- Consensus Gap: No external validation of account creation logic
- PoG™: Enforce business logic preventing fake accounts
- PoC™: Real-time regulatory validation
- Consensus Validators: Independent auditors required before account creation
Healthcare: UnitedHealth / Change Healthcare Ransomware Attack
In 2024, a ransomware attack on Change Healthcare crippled U.S. medical claims processing nationwide.
- No Resilience: Critical systems lacked stress-tested backups
- No Guardrails: Single point of failure in infrastructure
- No Real-Time Auditability: Breach unnoticed until widespread disruption
- PoR™: Mandatory stress testing of healthcare workflows
- PoG™: Enforce segmented controls
- Consensus Validators: Regulators validate system readiness before deployment
Consulting: Deloitte AI Report Failure (AUD 440k Refund)
Deloitte delivered a $440k government report that used AI (Azure OpenAI GPT-4o). The report contained fabricated references and citations. Australian government demanded corrections and partial refund.
- No Guardrails (PoG™): AI-generated references unchecked
- No Compliance Validation (PoC™): Regulatory/academic standards not verified
- No Auditability: Initial draft lacked cryptographic provenance or trust attestation
- PoG™ (Proof of Guardrails): Automatic validation against trusted citation databases
- PoC™ (Proof of Compliance): Enforcement of academic and contractual standards before delivery
- Trust Certificates: Immutable proof of all validation steps for legal and regulatory defense
Competitor Comparison
Other tools check boxes. SentinelPoT™ closes the loop.
Is Your AI System at Risk?
Can you explain every AI decision if regulators audit you tomorrow?
Without explainable AI, you're operating blind. One unexplainable decision could trigger millions in fines.
What happens when your AI makes a catastrophic error?
Post-mortem analysis won't save your reputation. Pre-execution validation prevents disasters before they happen.
Are your AI systems compliant with evolving regulations?
Manual compliance checks can't keep pace with regulatory changes. Automated oracle integration ensures real-time compliance.
Could adversarial attacks compromise your AI decisions?
Hackers are targeting AI systems. Without resilience testing, you're vulnerable to manipulation and data poisoning.
Do you have an immutable audit trail for every AI action?
When litigation comes, incomplete logs destroy your defense. Cryptographic attestations provide bulletproof evidence.
What's your Plan B when AI systems fail in production?
Downtime costs millions per hour. Distributed consensus ensures continuous operation even when validators fail.
Request Executive Brief
Get detailed information about how SentinelPoT can protect your AI systems from catastrophic failures.
⏱️ We'll reply within 48 hours
Deploy AI Where Consequences Matter.
We help organizations deploy AI where consequences matter, ensuring defensible, auditable, and compliant operations.
⏱️ 48-hour response guarantee