🛡️ GenAI Security Framework

Enterprise-grade security assessment for Generative AI systems, LLMs, and AI applications

Prompt Injection & Jailbreak Defense

🔐 Critical Security Layer: Assess and implement defenses against prompt injection, jailbreaking, and adversarial inputs. Monitor and control prompt manipulation attempts.

Input Validation

Jailbreak Prevention

Monitoring & Response

Prompt Security Score
0%
Risk Level
High
Compliance Status
Partial

Model Security & Integrity

🤖 Model Protection: Secure model weights, prevent extraction attacks, implement access controls, and ensure model integrity throughout the lifecycle.

Model Protection

Extraction Defense

Supply Chain Security

Model Security Score
0%
Vulnerability Count
0
Protection Level
Strong

Data Privacy & PII Protection

🔏 Privacy Compliance: Implement comprehensive PII detection, redaction, and compliance measures for GDPR, CCPA, and other privacy regulations.

PII Detection & Handling

Consent Management

Compliance & Auditing

Privacy Score
0%
Compliance Level
Full
PII Risk
Low

Hallucination Detection & Mitigation

🎭 Accuracy Control: Implement comprehensive strategies to detect, prevent, and mitigate AI hallucinations and ensure factual accuracy.

Detection Mechanisms

Mitigation Strategies

Quality Assurance

Accuracy Score
0%
Hallucination Rate
15%
Confidence Level
High

Ethical AI & Bias Mitigation

⚖️ Responsible AI: Ensure fairness, transparency, and ethical use of AI systems while actively detecting and mitigating biases.

Bias Detection

Transparency & Explainability

Ethical Guidelines

Ethics Score
0%
Bias Risk
Low
Transparency Level
High

AI Governance & Compliance

📋 Governance Framework: Establish comprehensive AI governance structures, policies, and compliance mechanisms aligned with regulations.

Governance Structure

Regulatory Compliance

Risk Management

Governance Score
0%
Compliance Status
Compliant
Maturity Level
Advanced

AI Supply Chain Security

🔗 Third-Party Risk: Secure the entire AI supply chain including models, datasets, libraries, and third-party integrations.

Model Provenance

Dataset Security

Dependency Management

Supply Chain Score
0%
Risk Exposure
Low
Integrity Level
High

AI Incident Response

🚨 Incident Management: Prepare and respond to AI-specific security incidents including adversarial attacks, model failures, and data breaches.

Incident Preparedness

Detection & Response

Recovery & Learning

Readiness Score
0%
Response Capability
Strong
Recovery Time
< 2 hrs

OWASP LLM Top 10 Vulnerabilities

🛡️ LLM-Specific Threats: Assess and mitigate the top 10 LLM security vulnerabilities as defined by OWASP including prompt injection, data poisoning, and model theft.

LLM01-03: Input & Output Vulnerabilities

LLM04-06: Availability & Access

LLM07-10: Design & Implementation

OWASP LLM Score
0%
Vulnerabilities Covered
0/10
Risk Level
Critical

AI Blue Team Operations

🔵 AI Defense Operations: Implement comprehensive AI/ML defensive operations including model monitoring, drift detection, adversarial attack detection, and AI incident response.

Model Monitoring & Observability

Adversarial Defense

AI Incident Response & Forensics

Blue Team Score
0%
Defense Maturity
Advanced
Response Readiness
High

GenAI Security Assessment Summary

Overall Security Posture

0%
Prompt Security: 0%
Model Security: 0%
Data Privacy: 0%
Hallucination Control: 0%
Ethical AI: 0%
Governance: 0%
Supply Chain: 0%
Incident Response: 0%
OWASP LLM Top 10: 0%
AI Blue Team: 0%

Risk Assessment

Critical Risks: 0
High Risks: 0
Medium Risks: 0
Low Risks: 0

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