Probe
Comprehensive security Probing for AI agents and agentic systems.
Akto provides specialized security probing for AI agents, LLM applications, and agentic systems. The platform includes pre-built probe suites covering OWASP Top 10 for LLMs, prompt injection attacks, MCP security, tool misuse, and other agentic-specific vulnerabilities.
You can schedule probes to run at times that fit your workflow, ensuring continuous security validation without disrupting operations. For scheduling information, refer to Schedule Scan.
Probe Categories
Akto organizes agentic security probes into specialized categories:
LLM Security: Probes for model-specific vulnerabilities including prompt injection, jailbreaking, and output manipulation.
Prompt Injection: Comprehensive probing for direct and indirect prompt injection attacks across various agent workflows.
MCP Security: Validates Model Context Protocol implementations, tool authorization, and resource access controls.
Agent Identity: Probes for agent impersonation, role escalation, and identity validation bypasses.
Sensitive Information Disclosure: Detects exposure of credentials, PII, internal system details, and training data leakage.
Supply Chain: Identifies vulnerabilities in agent dependencies, third-party integrations, and model providers.
Excessive Agency: Validates tool permissions, autonomous action limits, and guardrail effectiveness.
Data Poisoning: Probes for manipulation of agent memory, context windows, and retrieval systems.
Akto's Approach
Akto uses real agent traffic to enhance probing effectiveness:
Real-World Context: Probes use actual agent interactions, tool calls, and conversation patterns to identify vulnerabilities that static analysis would miss.
Shadow Agent Detection: Discovers undocumented agents, unauthorized LLM integrations, and rogue tool usage across your infrastructure.
Dynamic Probe Coverage: Adapts probes based on observed agent behaviors, tool chains, and conversation flows.
Protocol Support
Akto supports probing across multiple protocols used in agentic systems:
REST & GraphQL: Probe HTTP-based agent endpoints and tool integrations.
gRPC: Validates agent-to-agent communication and microservice interactions.
WebSocket: Probe real-time agent streams and persistent connections.
MCP (Model Context Protocol): Specialized probing for MCP server implementations and tool definitions.
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