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AI Security
AI & LLM Security Assessment
Secure AI systems against prompt abuse, data leakage, and model compromise.
A comprehensive security evaluation for AI-powered applications and large language model deployments that identifies vulnerabilities, misconfigurations, adversarial risks, and governance gaps across the full AI ecosystem.
Engagement Flow
1Planning and scoping
2AI threat modeling
3Adversarial testing
4Reporting and recommendations
Assessment Coverage
- AI application security assessment
- Large language model security assessment
- AI API security testing
- Model security assessment
- Training data and data pipeline security
- AI infrastructure and cloud security
- Third-party AI integration assessment
- AI governance and compliance assessment
Deliverables
- Executive summary
- AI threat model overview
- Technical findings
- AI-specific risk severity ratings
- Prompt injection and adversarial testing results
- Business impact analysis
- Prioritized remediation recommendations
- Compliance mapping where applicable
Business Benefits
- Identify AI-specific vulnerabilities before they can be exploited
- Protect prompts, models, and training data
- Reduce the risk of prompt injection, jailbreaks, and adversarial attacks
- Validate the security of AI APIs and integrations
- Strengthen governance and compliance for AI systems
Authorized assessment
Ready to scope ai & llm security assessment?
Share your goals, environment, and constraints. Lotusfeet will define a controlled scope, testing approach, and reporting plan.