AI Agent Security for Defense Applications
When AI agents operate in mission-critical defense environments, traditional authentication fails. Credentials can be stolen. Keys can be compromised. MWRASP authenticates agents by their behavioral DNA - patterns that cannot be stolen or faked.
The Problem
Defense systems increasingly rely on AI agents for autonomous operations, threat analysis, and decision support. But what happens when an adversary compromises an agent's credentials?
- •API keys can be exfiltrated through supply chain attacks
- •Certificate-based auth fails if private keys are stolen
- •Compromised agents can operate undetected with valid credentials
- •Harvest Now, Decrypt Later (HNDL) threatens long-term classified data
The MWRASP Solution
Behavioral Proof-of-Agency
Continuous authentication through behavioral biometrics. Response timing, decision patterns, protocol ordering - characteristics unique to each agent that cannot be replicated by attackers.
Post-Quantum Security
NIST FIPS 203/204/205 compliant algorithms in memory-safe Rust protect against quantum computing threats. Defend against HNDL attacks on classified communications today.
Phantom Protocol
Ten novel covert channels for clandestine agent communication. Messages encoded in behavioral patterns invisible to adversaries. Built-in hostile channel detection.
Compliance Ready
Architected for FedRAMP and CMMC pathways. NIST 800-53 control mappings. Evidence generation for continuous ATO.
Defense Applications
Autonomous Systems
Authenticate UAV, UGV, and UUV AI controllers with behavioral fingerprints that survive credential compromise.
Intelligence Analysis
Ensure AI agents processing classified intelligence are authentic and uncompromised throughout their operation.
Multi-Domain Operations
Coordinate AI agents across land, sea, air, space, and cyber domains with Byzantine-resilient consensus.
Supply Chain Security
Detect when AI components in the supply chain have been tampered with or replaced by adversaries.
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