AI Security Assessment: Secure Your AI Before Attackers Exploit It
An AI security assessment evaluates the security posture of artificial intelligence and machine learning systems, identifying vulnerabilities in model architecture, data pipelines, inference endpoints, and deployment infrastructure. Petronella Technology Group performs comprehensive AI security assessments that test for prompt injection, data poisoning, model extraction, adversarial attacks, and supply chain risks. Combining 24+ years of cybersecurity expertise with deep AI engineering knowledge, we secure AI systems for enterprises across healthcare, defense, finance, and government.
CMMC RP-1372. 24+ years in cybersecurity. Free consultation.
Key Takeaways
- 77% of organizations deploying AI have no AI-specific security testing (Gartner 2024). Standard penetration tests do not cover AI attack surfaces.
- Prompt injection, data poisoning, and model extraction are the top three AI-specific threats identified by OWASP Top 10 for LLM Applications (2025 edition).
- Petronella assesses both commercial and private AI deployments, including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and self-hosted open-source models.
- Every assessment includes a remediation roadmap with specific technical fixes, not just a list of findings. We implement the fixes if you need us to.
What We Deliver
LLM and Prompt Security Testing
We test large language model deployments for prompt injection, jailbreaking, system prompt extraction, and output manipulation. Both direct and indirect injection vectors are evaluated.
Data Pipeline Security
Assessment of training data sources, preprocessing pipelines, and storage systems for data poisoning risks, unauthorized access, and compliance violations related to PII or CUI in training data.
Model Infrastructure Review
Security evaluation of inference endpoints, API gateways, authentication mechanisms, rate limiting, and network exposure. We identify paths attackers could use to abuse or extract your models.
Supply Chain Analysis
Review of third-party model dependencies, open-source library risks, and vendor security posture. AI supply chain attacks are increasing as organizations rely on pre-trained models and frameworks.
Adversarial Robustness Testing
We craft adversarial inputs designed to cause model misclassification, bias exploitation, or safety filter bypasses. Testing reveals how resilient your model is against intentional manipulation.
Compliance Mapping
AI security findings are mapped to NIST AI RMF, EU AI Act requirements, HIPAA (for healthcare AI), and CMMC (for defense AI). Compliance-ready reports support regulatory documentation.
AI Security Approaches Compared
| Approach | Standard Pen Test | Petronella AI Security Assessment |
|---|---|---|
| Prompt injection testing | Not included | Comprehensive |
| Data pipeline review | Not included | Full assessment |
| Model extraction testing | Not included | Included |
| OWASP LLM Top 10 | Not covered | All 10 risks tested |
| NIST AI RMF mapping | No | Yes |
| Remediation implementation | Recommendations only | Available, full implementation |
Led by Craig Petronella
Craig Petronella founded Petronella Technology Group in 2002 and brings 30+ years of cybersecurity expertise. A CMMC Registered Practitioner (RP-1372), certified ethical hacker, and author, Craig combines deep technical knowledge with AI-powered automation to deliver superior outcomes.
Frequently Asked Questions
What AI systems can you assess?
How long does an AI security assessment take?
We use a commercial AI API. Do we still need an assessment?
Can you assess AI systems handling sensitive data?
What is the OWASP Top 10 for LLM Applications?
Related Services
Secure Your AI Before Launch
Get an AI security assessment. We will test your AI systems against real-world attack techniques and deliver a prioritized remediation plan.
Petronella Technology Group, Inc.
5540 Centerview Dr. Suite 200, Raleigh, NC 27606
Phone: 919-348-4912