Overview
Artificial intelligence introduces unprecedented capabilities—and novel security challenges. Cyberkov's AI Security Risk Assessment evaluates your AI and machine learning systems for security vulnerabilities, data integrity risks, and compliance gaps. We assess prompt injection resilience, adversarial attack susceptibility, data poisoning risks, and ethical AI implementation to ensure your AI investments deliver value without creating unacceptable risk or regulatory exposure.
Key Benefits
Scope of Work
- AI model security and integrity assessment
- Prompt injection vulnerability testing
- Adversarial attack simulation and resilience testing
- Data poisoning risk evaluation
- Model integrity and output verification
- AI governance framework review
- Ethical AI compliance assessment
- Bias and fairness analysis
Methodology
Architecture Analysis
AI system and data flow mapping
Governance Review
Security control and policy evaluation
Adversarial Testing
Prompt injection and attack simulation
Compliance Validation
Regulatory and ethical standards verification
Risk Reporting
Strategic findings and recommendations
Implementation Support
Guidance and monitoring setup
Deliverables
- Executive AI security summary
- AI security risk assessment report
- Adversarial testing results and analysis
- Governance gap analysis and recommendations
- Ethical AI compliance assessment
- Remediation recommendations and roadmap
- Best practices guidelines for AI security
Engagement Models
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