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Enterprise AI

AI Security, Risk & Compliance

AI introduces entirely new attack vectors to your enterprise, from Prompt Injection to Training Data Extraction. We provide comprehensive AI security auditing, penetration testing (Red Teaming), and compliance hardening to ensure your models are resilient against malicious actors.

Red TeamingPrompt InjectionData PrivacyVPC Deployment
100%
PII Redaction
Successfully prevented all PHI data leaks in a healthcare diagnostic LLM application.
0-Day
Vulnerabilities Patched
Discovered and remediated 3 critical prompt injection flaws prior to public launch.
Expert Led
Arsalan Abbas
AI Security Architect
Offensive Security CertifiedISO 27001 Ready
Capabilities

Core Features

Adversarial Red Teaming

Our security engineers systematically attack your AI models to discover vulnerabilities, jailbreaks, and prompt injection flaws before hackers do.

Data Privacy & DLP

Implementing Data Loss Prevention (DLP) layers that intercept and redact PII/PHI before it is sent to external LLM APIs.

Secure Infrastructure Deployment

Deploying open-source models (like Llama 3) entirely within your own Virtual Private Cloud (VPC) or air-gapped environments for maximum security.

Model Inversion Defense

Auditing custom-trained models to ensure attackers cannot reverse-engineer them to extract the sensitive training data used to build them.

Implementation

Our Process

01

Threat Modeling & Scope

Week 1

Mapping the attack surface of your AI application, including API endpoints, vector databases, and user inputs.

02

Vulnerability Scanning & Static Analysis

Week 2

Scanning your AI codebase and dependencies (PyTorch, HuggingFace libraries) for known CVEs and malicious supply chain code.

03

Active Red Teaming (Penetration Testing)

Week 3-4

Executing simulated cyberattacks against the live model, attempting prompt injections, jailbreaks, and data extraction techniques.

04

Guardrail Implementation

Week 5-6

Building the defensive middleware (like NeMo Guardrails) to block malicious inputs and sanitize outputs based on the red team findings.

05

Compliance Auditing & Reporting

Week 7

Providing a formal security attestation report detailing vulnerabilities patched, residual risks, and alignment with ISO/SOC2 standards.

Tech Stack

Technologies We Use

NeMo Guardrails / Lakera Guard
LLM Security Layers
Presidio (Microsoft)
PII Anonymization
Garak / Promptfoo
LLM Vulnerability Scanners
AWS Nitro Enclaves
Secure Compute
Ollama / vLLM
Air-Gapped Deployment
Common Questions

FAQ

What is Prompt Injection?

Can hackers steal our data by talking to our AI?

Why not just use OpenAI's built-in safety filters?

Ready to Innovate?

Accelerate Your Business with
AI Security, Risk & Compliance

Book a free strategy call. We'll scope the exact requirements for your use case and walk you through our implementation approach.

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