Sovereign AI, run entirely inside your walls

DoD Mandate

Continuous verification of user identities, strict least-privilege enforcement, and dynamic access control based on user behavior and context.

The AI Threat

Traditional AI agents operate as "ghost users" with standing, over-privileged access. If an agent goes rogue or is hijacked, it is nearly impossible to trace the action back to a specific human operator or authorization chain.

NuDay Capability

OIDC Identity-Binding. NuDay strips the AI of implicit trust. Every autonomous action, tool invocation, and database query must be cryptographically bound to a verified OIDC/OAuth2 identity (compatible with CAC/PIV standards).

Mission Impact

Absolute non-repudiation. Commanders and auditors can trace every agent-driven decision back to the specific human-in-the-loop or authorized service account that initiated the workflow.

DoD Mandate

Continuous assessment of device health, compliance, and configuration. Only trustworthy, compliant endpoints are granted access to the network.

The AI Threat

AI agents are dynamic workloads, often spun up in ephemeral cloud containers. If the underlying runtime environment is compromised by malware or memory-scraping, the agent's secrets and operational context are exposed.

NuDay Capability

Secure Agent Runtimes. NuDay treats the agent's execution environment (whether a Docker container or Kubernetes pod) as a highly regulated endpoint. The Manager continuously verifies the cryptographic hash and integrity of the runtime before releasing short-lived decryption keys.

Mission Impact

Agents operate strictly within trusted enclaves. If an edge node or cloud container falls out of compliance, NuDay instantly revokes its cryptographic keys, freezing the agent before data can be compromised.

DoD Mandate

Implement micro-segmentation, software-defined perimeters, and strict traffic controls to contain breaches and prevent lateral movement.

The AI Threat

In multi-agent architectures, agents frequently pass data back and forth. If internal Agent-to-Agent (A2A) communication channels are unauthenticated, a compromised low-level agent can impersonate a high-level agent to extract classified intelligence.

NuDay Capability

A2A Mutual Authentication (mTLS). NuDay enforces micro-segmentation at the application layer. Agents cannot communicate with one another without mutual cryptographic authentication. Furthermore, the NuDay Manager actively monitors the live A2A topology.

Mission Impact

Neutralizes lateral movement. An adversary cannot use a hijacked procurement agent to laterally access a logistics agent, as the network request will be cryptographically rejected.

DoD Mandate

Secure development practices, rigorous application testing, and continuous authorization for every workload - no application or process is implicitly trusted, and each action must be authenticated and authorized before it is allowed to execute.

The Threat: Rogue Tool Execution in AI Agents

In a traditional IT environment, a compromised application might leak data. In an agentic environment, a compromised AI agent can take unauthorized actions.

Adversaries know that they don't need to breach your perimeter to manipulate an AI. Through techniques like Indirect Prompt Injection (e.g., hiding malicious text inside a seemingly harmless PDF or website that the agent reads), an attacker can hijack the LLM's context. Once hijacked, the agent can be tricked into using its connected tools, like a database query API, a Kubernetes deployment script, or a messaging app, to exfiltrate data or sabotage systems.

Legacy Web Application Firewalls (WAFs) and prompt-filtering tools cannot stop this, because the malicious command originates from inside the already-authenticated AI workload.

The Solution: Cryptographic Tool Signatures

NuDay satisfies the DoD's strict requirements for workload authorization by physically separating the AI's "brain" (the LLM) from its "hands" (the tools) using Cryptographically Enforced Tool Execution.

Here is how we lock down the application layer:

Mission Impact

By cryptographically enforcing what an AI workload is allowed to do, NuDay allows DoD components and cleared defense contractors to safely deploy agentic AI into mission-critical environments. You move from trying to "guess" if an AI is hallucinating or compromised, to mathematically constraining it to execute only authorized mission parameters.

DoD Mandate

End-to-end protection of data at rest and in transit through classification and tagging, encryption tied to enterprise policy, digital rights management, data loss prevention, and granular attribute-based access control - wherever the data resides and however it is used.

The Threat: Plaintext AI Memory and "Harvest Now, Decrypt Later"

In standard AI deployments, Retrieval-Augmented Generation (RAG) pipelines ingest sensitive documents, chunk them, and store them in vector databases (like Postgres pgvector or Pinecone) as plaintext embeddings. Furthermore, as agents operate, their conversational history and execution logs are stored in standard databases so the agent can "remember" past context.

If a nation-state actor breaches the perimeter, they can exfiltrate these vector stores and agent histories. Even worse, under the "Harvest Now, Decrypt Later" threat model, adversaries steal encrypted data today with the intent of using future quantum computers to break standard AES or RSA encryption.

The Solution: Post-Quantum Encrypted Data Layer

NuDay aligns perfectly with the DoD's Data Encryption, Governance, and Access Control mandates by encrypting the AI data layer itself, ensuring the LLM only accesses what it is mathematically authorized to see.

1. Post-Quantum Encrypted RAG Pipelines

NuDay does not allow sensitive DoD data to sit exposed in vector databases.

How it works: Before data is embedded and stored in your RAG pipeline, NuDay encrypts the data using NIST-approved Post-Quantum Cryptographic (PQC) algorithms.

DoD Alignment (Data Encryption & DRM): This ensures data at rest is resistant to both classical and quantum decryption. When an agent queries the RAG system, the retrieval and decryption process happens securely within the NuDay enclave, strictly governed by the agent's identity and access token.

2. Encrypted & Vector-Searchable Agent History

Autonomous agents need long-term memory to handle complex, multi-day workflows (e.g., analyzing a continuous stream of signal intelligence).

How it works: NuDay encrypts the agent's execution history, memory, and state. However, to keep the agent functional, we utilize advanced cryptography that allows the encrypted data to remain vector searchable. The agent can still query its own encrypted past experiences via similarity search without ever exposing the underlying memory logs in plaintext to the database administrator.

DoD Alignment (Data Monitoring & Data Loss Prevention): This satisfies strict Data Loss Prevention (DLP) requirements. If an insider threat or external attacker compromises the agent's database, they cannot read the agent's operational history.

3. Cryptographic Data Access Control

The DoD mandates that data access must be based on enterprise policies and granular attributes (Attribute-Based Access Control).

How it works: NuDay binds specific decryption keys to specific OIDC-verified agent identities. A logistics agent and a targeting agent might query the same secure enterprise database, but they will only be able to decrypt and retrieve the data blocks (or vector chunks) that match their cryptographic permissions.

DoD Alignment (Data Tagging & Access Control): This enforces strict micro-segmentation of data at the query level, ensuring an agent cannot hallucinate or be manipulated into retrieving classified data above its clearance level.

Mission Impact

By combining PQC-encrypted RAG with vector-searchable encrypted history, NuDay allows the DoD to deploy highly intelligent, context-aware agents without creating a centralized, plaintext repository of classified intelligence. The data remains protected against today's breaches and tomorrow's quantum threats.

DoD Mandate

Use automated tools, workflows, and policy enforcement mechanisms to scale security, respond to threats faster, and eliminate human configuration errors.

The AI Threat

Managing API keys, database credentials, and behavioral guardrails manually for thousands of autonomous agents leads to "secret sprawl" and inevitable configuration drift, leaving open doors for adversaries.

NuDay Capability

Automated Secret Lifecycle & IaC. NuDay automates the entire security lifecycle. Hardcoded credentials are replaced with dynamic, just-in-time secret rotation. Furthermore, all agent security policies are deployed via declarative Infrastructure as Code (Terraform), eliminating manual policy drift.

Mission Impact

Scales Zero Trust natively. Security teams can instantly update "Global Guardrails" across thousands of deployed agents simultaneously, orchestrating an immediate defense against newly discovered threat vectors.

DoD Mandate

Comprehensive logging, real-time monitoring, and AI/ML-driven threat detection across the entire infrastructure to support continuous risk assessment.

The AI Threat

Standard console logs do not capture the cognitive reasoning or dynamic context of an LLM. When a security incident occurs, cyber operators are left with a "black box" and no forensic evidence of why the AI took a specific action.

NuDay Capability

Immutable OpenTelemetry Tracing. NuDay captures a forensic, tamper-proof trace of every single agent operation. This includes the initial prompt, the encrypted vector search, the exact tool executed, and the final output. This data is seamlessly exported to DoD-approved SIEMs (Security Information and Event Management systems) via OpenTelemetry.

Mission Impact

Transforms AI from a black box into a fully transparent system. Security Operations Centers (SOCs) gain real-time visibility into agent behavioral drift and anomalies, satisfying rigorous federal audit requirements.