Verifiable Trust from Silicon to Prompt.
In the modern distributed enterprise, AI workloads operate across a fragmented landscape of public clouds, on-premise data centers, and the far edge. Traditional "wrapper-based" security—like firewalls or real-time guardrails—is no longer sufficient for regulated markets. These methods are bypassable, add latency, and fail to provide the mathematical proof required by auditors.
AegisSovereignAI transforms AI security from "Best-Effort" to Verifiable Intelligence. We provide a contiguous Chain of Trust that ensures:
- Sovereignty: Mathematical proof that data and models never leave authorized jurisdictions.
- Privacy: ZKP enables Audit without Disclosure—solving the deadlock between regulatory transparency and data privacy laws (GDPR/CCPA).
- Resiliency: The Autonomous Revocation Loop—a hardware-rooted mechanism that isolates compromised agents in multi-agent ecosystems before lateral movement.
Three converging forces make verifiable AI security urgent:
- Regulatory Pressure: The EU AI Act mandates auditability for high-risk AI. SOC 2 and ISO 27001 auditors now require evidence of AI governance. GDPR/CCPA create a deadlock between transparency and privacy that only ZKP resolves.
- Multi-Agent Explosion: Autonomous AI agents are proliferating across trading, customer service, and operations. A single compromised agent can move laterally across the fabric. Traditional perimeter security cannot contain agents that act autonomously.
- Confidential Computing Maturation: Intel TDX and NVIDIA H100 TEEs are production-ready. Enterprises can now demand encryption-in-use, but need a control plane that works across legacy and next-gen hardware.
| Industry | Challenge | Aegis Solution |
|---|---|---|
| Financial Services | Prove AI trading decisions comply with regulations without exposing proprietary strategies | ZK-Proofs of model version and input constraints |
| Healthcare AI | Audit diagnostic AI without exposing patient data (HIPAA) | Audit without Disclosure via ZKP-RAG |
| Defense / Sovereign Cloud | Guarantee AI never executes outside authorized jurisdictions | Hardware-attested geofencing with Autonomous Revocation |
| Multi-Agent Systems | Isolate compromised agents before lateral movement | SPIRE identity revocation triggered by Keylime attestation failure |
For security architects and systems engineers, AegisSovereignAI acts as the unifying control plane that cryptographically binds silicon-level attestation to application-level governance.
Aegis secures the physical and virtual environment where AI executes, supporting both high-performance enclaves and commodity edge hardware. A single control plane provides integrity on standard hardware today and full confidentiality on TEEs tomorrow.
- Confidential Computing (CC) & Trusted Execution Environments (TEE): For high-stakes inference, Aegis integrates with Intel Trust Domain Extensions (TDX) and NVIDIA H100 TEEs. This ensures that model weights and sensitive context remain encrypted while in use, shielding them from privileged system administrators.
- Integrity for Standard Hardware: For legacy hardware that cannot run TEEs, Aegis uses Keylime and the Trusted Platform Module (TPM) to verify the software stack's Integrity (via IMA/EVM). If you cannot have encryption-in-use (Confidentiality), you at least have proof the code is untampered (Integrity). See the Hybrid Cloud PoC for the SPIRE-Keylime integration code.
Aegis binds Who is running to Where they are running, replacing bearer tokens with hardware-rooted possession.
- Unified Identity: We bind Secure Production Identity Framework for Everyone (SPIRE) workload identities to hardware credentials. An AI agent cannot execute unless it is on a verified, authorized machine.
- Zero-Knowledge Proof (ZKP) of Residency: Using our Internet Engineering Task Force (IETF) proposals (WIMSE/RATS), agents prove they are in a compliant jurisdiction (e.g., "Inside the Corporate Data Center") without revealing raw Global Positioning System (GPS) or network metadata.
- Autonomous Revocation Loop: If a node's hardware state drifts (detected by Keylime attestation failure), its SPIRE identity is revoked in real-time, "ghosting" the agent from the distributed fabric before it can move laterally.
High-level policy becomes mathematical constraints, moving security into the core architecture.
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Beyond Retrieval-Augmented Generation (RAG): ZK-Proofs extend beyond context protection to the entire AI lifecycle:
- Verifiable Inference: Prove the AI used a specific, audited model version without revealing weights (IP protection).
- Fairness Auditing: Prove a model is unbiased across demographic groups without the auditor ever seeing the sensitive customer data used in the audit.
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Policy-as-Circuit: Governance evolves from "Code" to "Circuits." Rules compiled into zk-SNARK circuits provide an immutable Certificate of Compliance for every AI decision.
A common concern with ZKP is the computational "tax." Aegis addresses this through a Hybrid Performance Model:
- Succinctness: We utilize zk-SNARKs, where the resulting proof is tiny (<1 KB) and verified in milliseconds on standard edge devices.
- Asynchronous Proving: Proof generation happens in parallel to AI inference. The AI responds instantly, while the "Compliance Receipt" is attached moments later, ensuring zero latency for the end-user.
- Tiered Verification: Use ZKP for high-value governance (legal/financial) while using lightweight Hardware Attestation (TPM) for routine operations.
| Feature | Legacy AI Security | Aegis Sovereign AI |
|---|---|---|
| Trust Model | Implicit (Trust the Provider) | Explicit (Verify the Math) |
| Data Privacy | Redaction / Masking | Mathematical Privacy (Zero-Disclosure) |
| Auditability | Forensic Logs (Post-Facto) | Deterministic Proofs (Real-Time) |
| Hardware | Unprotected / Cloud-only | Hybrid (Confidential + Standard TPM) |
Aegis provides AI-specific orchestration on top of foundational security primitives:
| Project | What They Provide | Aegis Differentiator |
|---|---|---|
| Confidential Computing Consortium (CCC) | The plumbing (enclaves) | AI-Specific Orchestration—binding enclaves to AI identities and OPA governance |
| Agentic Frameworks (AAIF / MCP) | Capabilities (how agents communicate) | Identity-First—who is talking and are they on verified silicon |
| Skyflow / Protecto | SaaS Data Privacy Vaults | Infrastructure-Intrinsic—ensuring the vault logic itself runs on verified silicon |
| Guardrails AI / NeMo Guardrails | Filter-Based Protection | Structural Security—hardware-isolated agents via Intent-Generation Separation |
| Policy Engines (Permit.io / OPA) | "Can this happen?" | "Proof it DID happen"—ZK-Receipts prove execution matched policy exactly |
AegisSovereignAI contributes to industry standards, turning high-level frameworks into executable code.
- LLM01 (Prompt Injection): Hardware-Verified Intent Tunnels—LLMs only accept input signed by a hardware-attested classifier. Structural enforcement, not text filtering.
- LLM06 (Sensitive Data Disclosure): Our ZKP-RAG implementation serves as a reference guardrail for privacy-preserving retrieval.
- Hardware-Rooted AI Workload Identity: Leveraging our IETF WIMSE work to move the industry from "Bearer Tokens" toward "Attested Identities."
NIST emphasizes "measurable" trust. Aegis provides the first measurement engine for AI security:
The Immutable Triad
Audit Log = Hash(Input) + Hash(Context) + Hash(Model Config)Every AI decision carries cryptographic proof of exactly what input, context, and model version produced the output—enabling Verifiable AI Audit Logs.
- Hybrid Cloud PoC: Integration of SPIRE and Keylime for real-time node revocation.
- Contributing: We welcome contributions! See our Contributing Guide for guidelines.
- Quick Start: Clone the repo and explore the Hybrid Cloud PoC to see unified identity in action.
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