AI Security & Audit

AI without security is a liability, not an asset. Comprehensive security assessment and compliance for AI systems — covering vulnerabilities, governance, and regulatory requirements. Sleep well knowing your AI is secure.

AI Vulnerability Assessment

Compliance Audits (GDPR, SOC 2)

Red Teaming & Penetration Testing

Governance Framework Design

Security Monitoring Setup

Incident Response Planning

The AI Security Gap

Most security teams weren't trained for AI risks. Traditional security tools miss AI-specific vulnerabilities. Prompt injection, data leakage, model poisoning — these aren't in the OWASP Top 10.

Your AI systems face threats that standard security practices don't catch.

AI-Specific Vulnerabilities

AI introduces entirely new attack surfaces:

Prompt Injection Attacks

  • Malicious users manipulating AI behavior through carefully crafted prompts
  • Bypassing safety guardrails
  • Extracting sensitive information from training data
  • Causing the AI to perform unintended actions

Data Leakage & Privacy

  • Training data memorization and regurgitation
  • PII exposure through model outputs
  • Inference attacks that extract training examples
  • Cross-user data contamination in multi-tenant systems

Model Poisoning

  • Backdoors inserted during training
  • Adversarial examples causing misclassification
  • Supply chain attacks on training data
  • Fine-tuning attacks that corrupt model behavior

Infrastructure Vulnerabilities

  • API endpoint security weaknesses
  • Inadequate access controls on model weights
  • Logging sensitive data in MLOps pipelines
  • Insecure model storage and versioning

Our Security Audit Process

Phase 1: Discovery & Scoping (Week 1)

  • Understand your AI systems, data flows, and threat model
  • Identify crown jewels (most sensitive data/models)
  • Map attack surface and potential entry points
  • Define audit scope and compliance requirements

Phase 2: Technical Assessment (Weeks 2-3)

  • Prompt injection testing — Attempt to manipulate AI behavior
  • Data leakage analysis — Test for training data exposure
  • Model robustness — Adversarial example testing
  • Infrastructure security — API, storage, access controls
  • Code review — Security issues in AI application code
  • Compliance check — GDPR, SOC 2, ISO 27001, etc.

Phase 3: Red Team Simulation (Week 4)

  • Simulate real-world attack scenarios
  • Test incident response and detection capabilities
  • Evaluate security team readiness
  • Document exploitable vulnerabilities

Phase 4: Reporting & Remediation (Week 5)

  • Detailed vulnerability report with severity ratings
  • Prioritized remediation roadmap
  • Architecture recommendations
  • Compliance gap analysis
  • Ongoing monitoring recommendations

Compliance Services

We help you meet regulatory requirements for AI systems:

GDPR (General Data Protection Regulation)

  • Right to explanation for automated decisions
  • Data minimization in training datasets
  • Consent management for AI processing
  • Data subject rights (access, deletion, portability)

SOC 2 (System and Organization Controls)

  • Security controls for AI systems
  • Availability and processing integrity
  • Privacy controls for AI data handling
  • Audit trail and evidence collection

ISO 27001 (Information Security Management)

  • AI-specific risk assessment
  • Security policies and procedures
  • Incident management for AI systems
  • Business continuity planning

Industry-Specific

  • HIPAA (Healthcare) — Protected health information in AI
  • PCI DSS (Financial) — Payment data security
  • FedRAMP (Government) — Federal cloud security requirements
  • EU AI Act — High-risk AI system requirements

Governance Framework Design

Beyond technical security, AI governance ensures responsible use:

  • AI ethics policies — Bias mitigation, fairness, transparency
  • Model approval workflows — Review process before production deployment
  • Data governance — Training data quality, provenance, and rights
  • Incident response plans — What to do when AI misbehaves
  • Third-party risk — Vendor assessment for external AI services

Ongoing Security Monitoring

Security isn't one-and-done. We set up continuous monitoring:

  • Anomaly detection — Unusual AI behavior patterns
  • Input validation monitoring — Malicious prompt detection
  • Output filtering — PII and sensitive data redaction
  • Model drift tracking — Security degradation over time
  • Access logging — Audit trail for model and data access

Real-World Audit Findings

Examples from our past audits (anonymized):

Critical: Training Data Exposure

Client's LLM was memorizing and regurgitating customer PII from training data. We demonstrated extraction of email addresses and phone numbers through carefully crafted prompts.

Fix: Implemented PII scrubbing in training pipeline, added output filtering, reduced model size to prevent memorization.

High: Prompt Injection Bypass

Customer service chatbot could be manipulated into revealing internal company policies and pricing not intended for customers.

Fix: Redesigned system prompt with stronger instruction hierarchy, added input sanitization, implemented response validation.

High: Insecure API Endpoints

Model inference API had no rate limiting, allowing potential DDoS and data exfiltration attacks.

Fix: Added authentication, rate limiting, request validation, and monitoring.

Medium: Compliance Gap (GDPR)

No mechanism for users to request deletion of their data from training sets or exercise right to explanation.

Fix: Implemented data lineage tracking, model versioning with data provenance, and explainability tools.

Why Trust Us with Security?

  • AI + Security expertise — We're not just security consultants or AI developers. We're both.
  • Practical experience — We've built and secured AI systems at scale
  • No fear-mongering — Honest risk assessment, not sales-driven scare tactics
  • Remediation support — We don't just find problems, we help fix them

Audit Deliverables

At the end of our audit, you receive:

  • Executive summary — C-level overview of risks and priorities
  • Technical report — Detailed findings with evidence and reproduction steps
  • Remediation roadmap — Prioritized action plan with effort estimates
  • Compliance checklist — Gap analysis against required standards
  • Architecture recommendations — Secure-by-design improvements
  • Ongoing monitoring plan — How to stay secure long-term

Pricing

  • Standard AI Security Audit: Fixed price based on system complexity
  • Compliance Certification Support: Assistance with SOC 2, ISO 27001, etc.
  • Ongoing Security Retainer: Monthly monitoring and advisory
  • Incident Response: Emergency response to active security issues

Ready to Secure Your AI?

Book a security consultation. We'll assess your current AI security posture and provide an honest evaluation of what needs attention.

Interested in this service?

Book a discovery call with our team to discuss how we can help.

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