AI Security Monitoring

Deploy AI gateways that monitor performance of AI systems including RAGs, LLMs, Neural Networks, etc., and detect anomalies to provide real-time insights into system integrity.

These gateways can function as an added layer of oversight, ensuring that AI systems operate within defined parameters and identifying risks to your AI assets proactively.

Effective cybersecurity strategies rely on visibility, continuous monitoring, strict access controls, defense-in-depth,and a zero-trust approach to mitigate risks and enhance system resilience.

Source: The Wall Street Journal, 2024.

Key Benefits

Real-time Monitoring
Provides real-time monitoring of AI systems, enabling quick detection and response to anomalies, threats, or performance issues.

Operational Transparency
Enhances operational transparency by offering continuous insights into the health and performance of AI systems, aiding in proactive maintenance and troubleshooting.

Compliance Support
Supports compliance with industry regulations by monitoring data usage and ensuring AI systems operate within defined boundaries.

Integration Points

Integrates with existing monitoring tools and dashboards, allowing for centralized visibility and management of AI systems alongside other IT assets.

Can be linked to incident response platforms, enabling automated alerts and responses when anomalies are detected.

Works well with AI model management platforms, allowing for seamless integration into the lifecycle of AI models, from deployment to retirement.

AI-specific security measures include Testing, Evaluation, Verification, and Validation (TEVV), offensive security testing, and Adversarial Machine Learning (AML) to defend against emerging threats.

Source: Cobalt, 2024.

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