Four layers between an AI model and a certificate anyone can trust.
Governance is not a binder on a shelf. It is a stack of proof, where each layer only holds because the one beneath it does.
Three pillars. One interlocking value chain.
Without validation you cannot prove a model is trustworthy. Without security you cannot protect the compute that validation relies on. Without policy you cannot scale either inside a compliant framework.
From first model to provable robustness.
- 01Assess
Inventory every model, dataset and exposure. Red-team against OWASP LLM Top 10.
- 02Govern
Map policies to EU AI Act, NIST AI RMF and ISO/IEC 42001 in one control set.
- 03Validate
Cryptographic proofs per inference: provenance, information-flow boundaries, certificates.
- 04Secure
Confidential compute, hardware isolation, post-quantum keys, AI Factory SOC.
- 05Certify
Independent third-party audit; a signed, verifiable trust proof.
- 06Scale
Continuous runtime attestation as new models and regulations arrive.
One trust stack, six key industries.
Where S.AI.F plugs into a national AI framework.
The five building blocks used in the BCG × JICA Playbook for National AI Strategy and Implementation (2026): policy, competitiveness, enablers, infrastructure, and safety & governance. Our three pillars sit exactly where national programmes are weakest — proving, protecting and certifying the AI a country runs.
Speed is not trust. Watch why we exist.
Fifty-two seconds on why the race to build AI needs an independent finish line — and, beside it, the three stages every model passes before a Trust Proof is signed.
Right now, everyone is running. Bigger models, faster releases, another benchmark, another record.
The model is exercised against a sealed evaluation set held in escrow — task accuracy, groundedness, robustness to paraphrase, calibration and load. Each case is hashed into the run so the result is reproducible years later.
An auditable trust proof.
This specific model, running this specific version, on this attested compute, processing this input, produced exactly this output — inside this regulatory envelope. Signed, timestamped, verifiable by anyone.
Trust proofNº 00412of enterprise AI systems red-teamed in 2025 failed under at least one form of adversarial pressure.
AI system security market by 2030, from near zero today.
or 7% of global turnover — EU AI Act fines for non-compliant high-risk systems from August 2026.
From technical moat to global standard.
Inference-chain proofs and runtime attestation. Paid pilots in finance and healthcare; IETF, NIST and ISO standards work.
Confidential computing deployments, compliance automation SaaS, an independent audit practice, cloud partnerships.
Lead global audit standards, expand into sovereign and defence, certify the world's AI auditors.