Discover our cutting-edge suite of AI security agents delivering comprehensive protection
Each agent is specialized to detect specific vulnerability patterns with industry-leading accuracy
Detects memory poisoning and data integrity attacks in AI agent memory systems.
Identifies unauthorized tool usage and function call abuse in agentic systems.
Detects privilege escalation and unauthorized access in agentic delegation chains.
Identifies resource exhaustion and denial-of-service attacks in agentic systems.
Detects self-reinforcing hallucinations and misinformation propagation in agent networks.
Identifies goal manipulation and intent hijacking attacks against agentic planning systems.
Detects misaligned behaviors and strategic deception in autonomous agent systems.
Identifies repudiation attacks and audit trail manipulation in agentic systems.
Detects identity impersonation and authentication bypass in multi-agent communications.
Identifies attempts to overwhelm or circumvent human oversight mechanisms.
Detects remote code execution and unsafe code generation in agentic systems.
Identifies malicious content injection in inter-agent communication channels.
Identifies unauthorized and malicious agents in multi-agent system environments.
Detects human-initiated attacks targeting multi-agent system coordination logic.
Identifies agent-based manipulation and coercion attempts against human users.
Detects abuse of inter-agent coordination protocols and communication standards.
Identifies compromised components and supply chain attacks in agentic system dependencies.
Detects direct and indirect prompt injection attacks against language models.
Identifies insufficient validation of LLM-generated content before downstream processing.
Detects compromised training data and model poisoning attempts.
Identifies resource exhaustion and DoS attacks targeting language model infrastructure.
Detects compromised dependencies and third-party components in LLM applications.
Identifies unauthorized exposure of sensitive data through LLM outputs.
Identifies security vulnerabilities in LLM plugin implementations and integrations.
Detects over-privileged LLM systems and unauthorized autonomous actions.
Identifies over-dependence on LLM outputs and insufficient validation mechanisms.
Detects unauthorized model extraction and intellectual property theft.
Join thousands of developers protecting their agentic AI systems with industry-leading security coverage