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Framework ID: Aegis
Ver 5.0.2 (Active)

Adversarial
Defense System

In an adversarial landscape, passive security is negligence. Aegis provides active defense for cognitive architectures, deploying real-time LLM firewalls, prompt injection blocking, and zero-trust policy enforcement to protect your model weights and data.

Threat Intercept Log
DEFCON 4
PROMPT_INJECTION
> Ignore previous instructions and...
BLOCKED
192.168.43.12
PII_LEAK_ATTEMPT
> SSN detection in output stream
REDACTED
Internal_User_42
JAILBREAK_PATTERN
> DAN Mode activation sequence
NEUTRALIZED
API_Gateway_West
Aegis Sentinel Engine
Prompt InjectionBLOCKED
PII DetectionREDACTED
Toxic PayloadFILTERED

The LLM Firewall

Traditional WAFs (Web Application Firewalls) cannot understand semantic threats. Aegis inspects the meaning of data, not just the metadata.

It sits between your users and your model, sanitizing inputs for adversarial patterns and scrubbing outputs for data leakage—ensuring that your AI never reveals more than it should.

  • Input Sanitization

    Neutralizes "Jailbreak" attempts (e.g., DAN, Mongo Tom) before they reach the inference engine.

  • Output DLP

    Real-time Data Loss Prevention scanning to catch SSNs, API keys, or proprietary code in model responses.

Confidential Computing

Encryption at rest and in transit is no longer enough. Aegis leverages Trusted Execution Environments (TEEs)—including NVIDIA H100 Confidential Compute and AMD SEV-SNP—to ensure that your data is encrypted while in use.

Hardware-Level Isolation

The host OS and cloud hypervisor cannot access the memory space of the AI workload. Even with physical access to the server, your model weights and inference data remain opaque.

Remote Attestation

Cryptographic proof that the code running in the enclave matches exactly what was deployed, preventing supply chain tampering.

Secure Enclave
Memory Encrypted

Regulatory Shielding

EU AI Act
Automated risk categorization and technical documentation generation for High-Risk AI systems.
ISO 42001
The global standard for AI Management Systems. We implement the controls required for certification.
NIST AI RMF
Alignment with the US National Institute of Standards and Technology's Risk Management Framework.

Policy-as-Code: We translate these legal texts into executable Open Policy Agent (OPA) rules that govern your infrastructure automatically.

Identity-First Security

In a microservices architecture, IP-based allow-lists are brittle. Aegis adopts a Zero Trust posture for agentic workloads.

We implement SPIFFE/SPIRE to issue short-lived, rotation-ready X.509 certificates to every AI agent. Agents authenticate via mutual TLS (mTLS), proving their identity cryptographically before exchanging a single byte of data.

SPIFFE ID: spiffe://cph.ai/ns/runestone/sa/agent-01
Subject: CN=agent-01
Issuer: CPH Intermediate CA
Expires: T-minus 59m 30s
Signature: SHA-256 (Verified)
Automatic Key Rotation Every 60 Minutes

Active Defense Modules

Active

Weight Encryption

Your model weights are your IP. We encrypt them at rest and in transit, using secure enclaves for inference to prevent theft.

Scanning

Adversarial Training

We continuously Red Team your models during fine-tuning, injecting noise and attacks to build inherent robustness.

Monitoring

Model Observability

Deep inspection of attention heads and activation vectors to detect anomalous reasoning patterns indicative of misalignment.

Secure the perimeter.

Deploy Aegis to protect your cognitive assets from the next generation of threats.