What are AI Models, why are the importance of Auditing AI LLM Models and reviewing each of the below:
- Logs of access attempts and permissions changes
- Anonymization techniques applied to training data
- Reports on data leakage assessments
- Results of adversarial attack simulations
- Reports on bias assessment and mitigation measures
- Version control system logs and cryptographic hashes of model versions
- Reports on model verification processes and consistency checks
- Secure code review reports and documentation
- Results of static code analysis and code review
- Deployment configuration documentation and security assessment reports
- Network penetration testing reports and network security configuration details
- Logs of LLM activity, system logs, and access events
- Reports on log analysis and incident detection
- Documentation on threat intelligence feeds integration and threat analysis
- Reports on threat hunting activities and identification of indicators of compromise
- Vulnerability scanning reports and remediation plans
- Red team exercise reports and post-exercise evaluations
- Incident response plan documentation and records of tabletop exercises
- Records of incident handling drills and evaluations
- Reports on bias identification and mitigation measures
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