AI Security Audit
AI Introduces New Security Risks. We Find Them.
AI applications have attack surfaces that traditional security tools do not cover. Prompt injection, data leakage, agent hijacking, RAG poisoning — these are real threats that require specialised security expertise. Our AI Security Audit identifies and addresses AI-specific vulnerabilities before attackers do.
Also available: AI code audit, AI development governance, and AI-to-production engineering.
Secure Your AI Application
Tell us about your AI stack. We reply with a plan and timeline.
10 AI-Specific Security Threats
Traditional security tools miss these. AI applications require specialised threat knowledge.
Prompt Injection
Attackers manipulate AI inputs to override system instructions, extract hidden prompts, or change model behaviour.
Data Leakage
AI models expose sensitive training data, user data, or proprietary information through carefully crafted queries.
Excessive Permissions
AI agents have more access than they need — database writes, admin APIs, file system access they should not have.
Insecure Tools
AI connected to external tools with weak security controls — unvalidated inputs, missing authentication, open endpoints.
Agent Hijacking
Attackers take control of AI agent workflows, redirecting them to execute unauthorised actions or exfiltrate data.
API Exposure
AI API endpoints accessible without proper authentication, rate limiting, or input validation — open to abuse.
RAG Poisoning
Attackers corrupt retrieval-augmented generation data sources, injecting malicious content that the AI presents as trustworthy.
Authentication Flaws
Weak or missing authentication on AI endpoints and agent APIs — no identity verification, no session management.
Authorization Bypass
AI agents bypass access controls, accessing data and performing actions across tenant boundaries or privilege levels.
Sensitive Data Exposure
AI outputs inadvertently expose PII, financial data, trade secrets, or confidential business information.
Comprehensive Security Coverage
We test both traditional security fundamentals and AI-specific attack vectors.
Traditional Security
- OWASP Top 10 vulnerability assessment
- Authentication and session management review
- Authorization and access control testing
- Encryption at rest and in transit verification
- Input validation and sanitisation audit
- API security and rate limiting review
AI-Specific Security
- Prompt injection attack testing (direct and indirect)
- Data leakage and information disclosure assessment
- AI agent permission and tool access review
- RAG data source integrity verification
- Model security and output validation testing
- AI endpoint authentication and authorization audit
How We Audit Your AI Application
A structured four-step process from threat modelling to remediation.
Threat Modeling
Map your AI application's attack surfaces and threat vectors. Identify every entry point where an attacker could interact with or influence your AI system.
Security Testing
Penetration testing, prompt injection attempts, data leakage scanning, agent permission review, and RAG integrity verification across your entire AI stack.
Vulnerability Report
Prioritised findings with severity ratings (Critical / High / Medium / Low), exploitation difficulty, business impact, and detailed remediation steps.
Remediation Support
Fix critical issues and implement security hardening. We help your team address vulnerabilities with code-level guidance and architecture recommendations.
AI Security Audit Pricing
Choose the audit depth that matches your risk profile. All prices are fixed — no hourly surprises.
Quick Scan
AI + traditional security quick assessment
AED 7,500
$2,050
3–5 days
- Top 10 AI threat assessment
- OWASP Top 10 quick scan
- Critical vulnerability identification
- Executive summary report
- Remediation priority list
Full Audit
Comprehensive AI security audit with remediation plan
AED 25,000
$6,800
2–3 weeks
- Full AI threat modelling
- Penetration testing (AI + traditional)
- Prompt injection attack testing
- Data leakage assessment
- Agent permission review
- RAG integrity verification
- Detailed remediation roadmap
- Compliance alignment (SOC 2 / GDPR)
Enterprise
Full penetration testing + red team + ongoing monitoring
AED 50,000+
$13,600+
3–6 weeks
- Everything in Full Audit
- Red team engagement
- Multi-model and multi-agent testing
- Custom attack scenario development
- Ongoing security monitoring setup
- Incident response playbook
- Compliance certification support
- Quarterly security re-assessment
Frequently Asked Questions
Common Questions
An AI security audit is a specialised security assessment designed specifically for applications that use large language models (LLMs), AI agents, and retrieval-augmented generation (RAG) systems. Unlike traditional security audits, it tests for AI-specific attack vectors like prompt injection, data leakage, agent hijacking, and RAG poisoning that standard penetration testing does not cover.
Traditional security audits cover OWASP Top 10 vulnerabilities — SQL injection, XSS, authentication flaws, and so on. An AI security audit goes further by testing attack surfaces unique to AI systems: prompt injection attacks that override system instructions, data leakage through model outputs, excessive permissions granted to AI agents, corrupted RAG data sources, and weak authentication on AI API endpoints. Most organisations need both.
We audit any application that uses AI — chatbots and virtual assistants, AI agents with tool access, RAG-powered search and knowledge systems, AI-powered SaaS products, LLM integrations in existing software, custom fine-tuned models, and multi-agent orchestration platforms. If your application uses an LLM or AI model, we can test it.
A Quick Scan takes 3–5 business days and covers the most critical AI and traditional security vectors. A Full Audit takes 2–3 weeks and includes comprehensive penetration testing, data leakage assessment, and a detailed remediation plan. Enterprise engagements with red team testing and ongoing monitoring run 3–6 weeks.
Our audit deliverables include a prioritised remediation plan with step-by-step fixes. We also offer remediation support as part of the engagement — critical vulnerabilities can be fixed during the audit period. For ongoing security, we offer retainer-based monitoring and hardening services.
Yes. Our AI security audit reports are aligned with SOC 2, GDPR, HIPAA, and ISO 27001 requirements. We map findings to relevant compliance controls so your audit results support your compliance certifications and regulatory obligations.
Your AI security audit may reveal issues in your codebase that need fixing. Our AI code audit provides a deeper code-level review of AI-generated and AI-assisted code. For governance frameworks that prevent security issues before they occur, explore our AI development governance. Once your application is secure, our AI-to-production engineering team takes it the rest of the way. For pre-acquisition security reviews, see our technical due diligence service.
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Your AI Has New Attack Surfaces.
We Know Them All.
Prompt injection, data leakage, agent hijacking, RAG poisoning — tested, documented, and remediated.
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- NDA available on request
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