ASSESS AI RISKS BEFORE THEY MATERIALIZE
Petronella performs AI risk assessments aligned with NIST AI RMF and EU AI Act. Identify bias, security, privacy risks before deployment.
Our Capabilities
Assessment
- Risk identification: technical, legal, operational
- Bias and fairness testing
- AI security testing and adversarial attacks
- Privacy impact assessment
Frameworks
- NIST AI RMF (AI 100-1) alignment
- EU AI Act readiness
- OWASP LLM Top 10 evaluation
- Industry regulation mapping
Key Services
Risk Identification
Systematic risks across all categories.
Bias Assessment
Quantitative fairness metrics testing.
Security Analysis
Prompt injection and adversarial testing.
Compliance Mapping
Gap analysis against regulations.
What Changes
Unassessed Risk
85% deploy without risk assessment.
Bias Exposure
Biased decisions creating legal risk.
Regulatory Gaps
AI violating emerging regulations.
Documented Profile
Every risk quantified with mitigations.
Verified Fairness
Bias tested with quantitative evidence.
Regulatory Compliance
Aligned with NIST AI RMF and regulations.
How It Works
Scope: Define systems and regulations
Identify: Catalog all risk categories
Test: Systematic bias, security, privacy testing
Analyze: Quantify probability and impact
Mitigate: Prioritized remediation roadmap
Document: Assessment report for stakeholders
Industries We Serve
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Frequently Asked Questions
What is it?
Systematic evaluation of AI deployment risks.
Legally required?
EU AI Act requires for high-risk AI. NIST provides voluntary framework.
Frameworks?
NIST AI RMF primary, supplemented by OWASP LLM Top 10.
Timeline?
Single system 2-4 weeks. Organization-wide 6-12 weeks.
Deliverables?
Risk register, testing results, gap analysis, remediation roadmap.
Assess Your AI Risks
Schedule a free consultation to evaluate your AI landscape.