AI Security Assessment
Identify vulnerabilities in your AI systems before attackers do.
The problem
AI systems introduce attack surfaces that traditional security testing completely misses. Prompt injection, training data poisoning, model theft, and insecure API integrations are real, exploitable threats — not theoretical risks from a conference talk.
Your pentest vendor probably isn't looking for them. Standard security assessments weren't designed for systems that take natural language as input, make probabilistic decisions, and integrate with dozens of external services through APIs.
You need someone who understands both traditional application security and the unique ways AI systems can be manipulated, leaked, and abused.
What’s included
- Architecture review of AI systems and integrations
- API security assessment
- Prompt injection and jailbreak testing
- Data pipeline security review
- Access control assessment
- Integration security across third-party services
- Compliance mapping to SOC 2, HIPAA, and PCI-DSS
What you get
- Technical findings report with Critical, High, Medium, and Low severity ratings
- Remediation guidance for each finding with prioritized recommendations
- Executive summary for leadership and stakeholders
- 90-minute technical debrief with your engineering and security teams
Who this is for
- Companies building AI-powered products
- Organizations deploying AI systems internally
- Security teams preparing for SOC 2 audits or customer security reviews
- Engineering teams that want an expert security gut-check before launch
Timeline & investment
Timeline
2–4 weeks
Investment
$10,000–$25,000
Pricing
Fixed fee
Our approach
Scoping — Week 0
Define targets, access levels, rules of engagement, and success criteria.
Assessment — Weeks 1–2
Hands-on testing across architecture, APIs, prompt injection, data pipelines, and access controls.
Analysis — Week 3
Consolidate findings, classify severity, and develop remediation guidance.
Delivery — Week 4
Final report, executive summary, and 90-minute technical debrief.
Frequently asked questions
It includes pentest techniques, but goes well beyond a traditional penetration test. We test for AI-specific attack vectors like prompt injection, jailbreaking, training data extraction, and model manipulation — things your standard pentest vendor isn't looking for.
Not required, but helpful. We can work in black-box, gray-box, or white-box modes depending on your comfort level. More access means more thorough findings, but we deliver value at every level.
OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex AI, open-source models, and custom-built systems. If you're running it, we can assess it.
Only if you want us to. We recommend staging environments for destructive testing and production for read-only assessments. We'll work with your team to define safe testing boundaries.
Immediate notification. We follow responsible disclosure practices and will alert your team as soon as a critical issue is confirmed. We also provide emergency remediation guidance to help you contain the risk fast.
Don’t wait for an attacker to find the gaps
Book a 30-minute call to scope an AI security assessment tailored to your systems and risk profile.