Cryptographic Governance Infrastructure
Attested Intelligence™ builds the enforcement layer between policy and execution for AI infrastructure. Our patent-pending technology, Attested Governance Artifacts (AGA), creates sealed governance objects that control runtime behavior and generate tamper-evident proof of enforcement. The architecture is provider-agnostic: it governs any AI model, any agent framework, any deployment environment with the same cryptographic guarantees.
AGA operates as a mandatory execution boundary using two-process key separation: the agent holds no cryptographic keys and cannot self-authorize. For hardware-level non-bypassability, the Portal can execute within a TEE. When a system drifts from its authorized state, enforcement is automatic and the cryptographic evidence is permanent.
The Problem
AI systems - agents, drones, industrial controllers - are deployed with no cryptographic guarantee they haven't been modified after attestation. Conventional audit systems record events after the fact into mutable databases. They don't prevent violations. They don't survive tampering. And they require network connectivity to verify.
AGA closes this gap with three capabilities no existing system combines:
Active Enforcement
Sealed Policy Artifacts encode executable governance parameters. The Portal runtime boundary measures subject integrity continuously, compares to the sealed reference, and executes enforcement actions without human intervention.
Tamper-Evident Chain
Every enforcement action generates a signed receipt appended to a hash-linked Continuity Chain. Structural metadata linking enables third-party integrity verification without disclosing sensitive payloads. Merkle checkpoints anchor the chain to immutable storage.
Offline Verification
Evidence Bundles contain everything needed to verify governance compliance in air-gapped environments - artifacts, receipts, Merkle inclusion proofs, and checkpoint references. No network callback to the originating system required.
Technical Approach
How AGA Compares
AGA does not rely on Trusted Execution Environments, Zero-Knowledge Proofs, or specialized hardware. The architecture is software-based cryptographic enforcement using Ed25519 signatures, hash-linked receipt chains, and Merkle checkpoint anchoring. This is by design.
Defense, SCADA, and air-gapped environments cannot depend on specific hardware enclaves or network-connected proof systems. AGA operates on any computing platform with standard cryptographic primitives. Any device capable of standard cryptographic operations can verify an Evidence Bundle, regardless of connectivity, environment, or platform.
Where AGA intersects with adjacent technologies: the Portal can ingest TEE attestation quotes as one of its ten measurement embodiments. AGA evidence can sit alongside ZKP proofs in a multi-layer governance stack. The systems are complementary. ZKP answers “did the AI compute correctly,” while AGA answers “did the system stay within its authorized constraints.”
Patent-Pending Technology
USPTO Application No. 19/433,835 - "Systems and Methods for Generating and Enforcing Attested Governance Artifacts." Filed December 2025.
Runtime Integrity Enforcement
Continuous measurement, drift detection, autonomous remediation with signed receipts
Privacy-Preserving Disclosure
Automatic claim substitution with signed substitution receipts
Continuity Chain System
Hash-linked events with Merkle checkpoint anchoring to immutable storage
Built for Environments Where Failure Is Catastrophic
Autonomous drone swarms, AI-enabled platforms, mission-critical agents. Cryptographic chain of custody from build to deployment to mission execution. Designed for ITAR-sensitive, air-gapped, and DDIL (denied, disrupted, intermittent, limited) environments.
SCADA and ICS protection with O(1) receipt generation and chain append per measurement cycle. Bounded queues, real-time operational technology compatibility. Tamper-evident audit trails that survive forensic scrutiny.
Governance for AI agent orchestration at scale. Prove only authorized model versions executed within enforced operational parameters. Immutable audit trails for regulatory compliance and incident response.
Finance, healthcare, and legal environments where regulatory compliance demands cryptographic proof of AI governance. Immutable audit trails that satisfy examiners, not just checkboxes.
Cryptographic Stack
Ed25519
Digital signatures
SHA-256
Content integrity
BLAKE2b-256
Artifact fingerprinting
RFC 8785 (JCS)
Canonical serialization
HKDF-SHA256
Key derivation
Merkle Trees
Checkpoint anchoring
All cryptographic operations are deterministic, offline-capable, and designed for post-quantum migration readiness.
Company
Attested Intelligence Holdings LLC. Founded by Jack Brennan. Based in the United States.
The company was founded on a simple premise: if you cannot cryptographically prove what your system did, you cannot govern it. AGA replaces mutable logs and after-the-fact reporting with permanent, portable, independently verifiable evidence. The company was founded at the inflection point between Generative AI and Verifiable AI. As AI transitions from a tool people use to infrastructure organizations depend on, governance enforcement becomes an infrastructure discipline.
No existing technology combines sealed enforcement artifacts, mandatory runtime boundary enforcement, cryptographic receipt chains, and offline verification into a single architecture. AGA was built to close that gap, and the system itself is patent-pending.
The AGA architecture is provided as a reference implementation with 112+ automated tests and an independent cryptographic verifier. This implementation demonstrates the architectural model and supports technical evaluation.
Attested Intelligence is a research and intellectual property company, not a managed service provider. The company focuses on the governance architecture and its commercial application.
All inquiries: admin@attestedintelligence.com
Evaluate the Technology
Review diligence materials. Read the protocol specification. Run the independent verifier.