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AISPM — A Comprehensive Technical Framework for Enterprise Cybersecurity
- AI Security Posture Management (AISPM) is an emerging discipline addressing cybersecurity challenges in the AI/ML lifecycle, from data collection to deployment.
- AISPM extends classical cybersecurity paradigms to cover the AI pipeline, emphasizing continuous monitoring and security controls.
- Key imperatives include data lineage tracking, secure data collection, cryptographic frameworks, and threat modeling.
- AISPM practices involve secure build pipelines, model verification, runtime monitoring, and aligning with regulatory frameworks.
- It recommends utilizing FHE for privacy-preserving ML, enforcing formal bounds on input perturbations, and employing multi-factor authentication.
- AISPM emphasizes the importance of version control, unit testing, vulnerability scanning, and adversarial testing in MLOps environments.
- Robust Intelligence, Fiddler AI, Arize AI, Seldon Core, and Truera are evaluated as market-leading AISPM solutions with distinct technical strengths.
- AISPM frameworks help organizations proactively defend against adversarial threats, ensure compliance, and maintain trust in AI outputs.
- Future developments in cryptographic techniques and dynamic adversarial defenses will enhance the security posture of enterprise AI systems.
- The author, Asad Faizi, is a Seattle-based entrepreneur, technologist, and social activist.
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