AgentIQ

Security of AI agents

AI agent security, including guardrails, detections, compliance, and policies.

Key Features

Guardrails

Essential for maintaining the safe and ethical operation of AI agents. They include guidelines, policies, and technical mechanisms designed to prevent AI systems from causing harm, making biased decisions, or being misused.

Detections

Detections involve monitoring AI agents to identify and respond to security threats. Continuously monitoring AI agent activities to detect unusual behavior that could indicate a security breach. Real-time monitoring and alerting systems. Maintain detailed logs of all actions performed by AI agents

Compliance

Compliance ensures that AI agents operate within legal and regulatory frameworks. This involves EU Al Act Mandatory, EU AI Act Comprehensive, US Executive order, Singapore Al Regulations

Policies

Policies are the rules and procedures that govern the operation of AI agents. They include detections, compliance, gaurdrails, domain-specific and custom rules.

Supported AI Security Standards

Mirror Security platform provides testing and compliance reports that directly map to global security frameworks including OWASP Top 10 for LLMs, NIST, and MITRE ATLAS.

Detections

OWASP Top 10 for LLMs defines the most critical vulnerabilities often seen in LLM applications, highlighting their potential impact, ease of exploitation, and prevalence in real-world applications.

Detections

NIST’s ARIA program attempts to establish guidelines on large language model (LLM) risks. ARIA evaluations will use proxies for application types, risks, tasks, and guardrails.

Detections

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) raises awareness of the rapidly evolving vulnerabilities of Al-enabled systems as they extend beyond cyber.

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