AI Security &
Compliance
AI systems are attack surfaces. We harden every layer—from model weights to inference endpoints—with zero-trust architecture, post-quantum encryption, and regulatory compliance frameworks that pass audit the first time.
AI-Specific Threat Landscape
Traditional security frameworks weren't designed for AI. These threats require specialized defenses.
Prompt Injection
Adversarial inputs that manipulate model behavior, bypass safety controls, or extract training data through carefully crafted prompts.
Model Extraction
Side-channel attacks that reconstruct model weights or architecture through systematic querying of inference endpoints.
Training Data Poisoning
Injection of malicious data into training pipelines that creates backdoors or biases in model behavior.
Membership Inference
Attacks that determine whether specific data was used in model training, potentially exposing PII or trade secrets.
Supply Chain Attacks
Compromised model weights, poisoned dependencies, or backdoored inference frameworks in the AI software supply chain.
Data Exfiltration
AI systems as vectors for data leakage through model outputs, log files, or side-channel information in API responses.
Our Security Controls
Defense-in-depth architecture specifically engineered for AI workloads.
Zero-Trust AI Network
Every request to every AI service authenticated and authorized. Microsegmented networks isolate inference, training, and data pipelines. No implicit trust between any components.
Post-Quantum Encryption
Crystal Kyber (ML-KEM) and CRYSTALS-Dilithium protecting all data at rest and in transit. Quantum-resistant key exchange for long-term data protection against harvest-now-decrypt-later attacks.
Air-Gap Architecture
Complete network isolation for classified and ultra-sensitive AI environments. Data diode-based unidirectional transfer for model updates. No external connectivity required for operation.
AI Behavioral Monitoring
Real-time monitoring of model outputs for anomalous behavior, bias drift, hallucination rates, and safety violations. Automated alerting and circuit-breaker patterns for production models.
Compliance Framework Coverage
Pre-configured compliance controls for every major regulatory framework.
| Framework | Scope | AI-Specific Controls | Status |
|---|---|---|---|
| NIST 800-53 Rev 5 | Federal systems | AI risk management, model governance, data integrity | Full coverage |
| CMMC Level 3 | Defense contractors | CUI protection in AI pipelines, access controls | Full coverage |
| HIPAA | Healthcare | PHI in training data, de-identification, BAA support | Full coverage |
| PCI-DSS v4.0 | Financial services | Cardholder data in AI, tokenization, encryption | Full coverage |
| FedRAMP High | Government cloud | Continuous monitoring, incident response, boundary protection | Full coverage |
| SOC 2 Type II | Enterprise SaaS | AI availability, processing integrity, confidentiality | Full coverage |
| ISO 27001:2022 | International | AI asset management, risk assessment, supplier relationships | Full coverage |
| EU AI Act | European operations | Risk classification, transparency, human oversight | Readiness assessment |
Secure AI.
Not Security Theater.
AI security is not an add-on. It is architecture. Let us design your AI security posture from the ground up.