Operational AI security
Operational AI security encompasses the Detect, Respond, and Recover functions of the NIST CSF, which are critical in ensuring that AI operations within an enterprise are secure and resilient. This segment of security focuses on actively monitoring AI systems, rapidly addressing any security incidents, and efficiently recovering from these incidents to maintain operational integrity and trust. Here are some key points to consider:
- Monitoring and alerting: Continuous surveillance of AI systems is crucial to detect anomalies and potential security breaches. However, AI redefines monitoring because of its variable and non-deterministic requests and responses. The following are some effective monitoring strategies:
- Deploying AI-powered anomaly detection systems that can learn from the AI environment and identify threats more accurately.
- Using AI-driven simulation tools to stress-test AI systems against a range of attack scenarios.
- Using specialized tools capable...
