Introducing Agent Probe: Automated Red Teaming for Agentic AI
Automated adversarial testing with Akto Agent Probe ensures agentic AI behaves safely, predicts failures, and mitigates risks across AI workflows.
Akash
Dec 22, 2025
Agentic AI systems don’t fail loudly. They fail quietly, through subtle decision paths, unexpected tool calls, or malformed MCP requests that look valid until they’re exploited.
Agents can be tricked into:
Unsafe tool execution
Prompt-based privilege escalation
Accepting malicious or malformed MCP inputs
And in most cases, there’s no alert, until the behavior reaches customers or production systems. By the time teams notice, the damage is already done.
That’s the risk with autonomous systems: once deployed, every decision becomes an attack surface.
Most teams only discover these weaknesses after deployment, when attackers, or even normal users trigger them unintentionally.
The Challenge: Agentic AI Has a Bigger Attack Surface
Traditional security testing wasn’t designed for agentic AI. Agentic AI introduces attack paths that static testing was never designed to catch.
Without automated red teaming, teams can’t confidently answer basic questions like:
Which agent paths break under adversarial inputs?
Which tools can be misused or abused?
Where do MCP surfaces accept unsafe requests?
Which weaknesses repeat across agents and environments?
When failures happen, they usually surface after the agent is already live.
That’s why we built Agent Probe.
Introducing Agent Probe
Agent Probe is Akto’s automated red teaming engine for agentic AI.
It continuously tests your:
AI agents
MCP servers and domains
LLM interactions
End-to-end agentic workflows
By proactively breaking them before attackers do.
Agent Probe simulates real adversarial behavior across your agentic systems, uncovering weaknesses that manual testing and traditional scanners miss.
With Agent Probe, organizations can:
Continuously red team agentic workflows
Simulate real-world adversarial behavior across agents, tools, and MCPs.
Uncover hidden failure paths
Identify unsafe reasoning chains, tool misuse, and malformed requests that manual testing misses.
Test agents, MCPs, and tools independently
Validate individual components or full workflows without waiting for production incidents.
Prioritize risk with clear severity signals
Instantly understand which categories fail most often and where to focus remediation.
This isn’t about theoretical risk modeling, it’s about finding real breakpoints before attackers do.
How Agent Probe Works
Agent Probe includes 4,000+ purpose-built probes, designed specifically for agentic AI systems.
Coverage spans the full agentic attack surface, including:
Prompt Injection
Attempts to override system instructions, manipulate agent goals, or hijack execution flow.
Unsafe Tool Invocation
Tests whether agents misuse tools, pass unsafe parameters, or act beyond approved scopes.
Malformed MCP Requests
Identifies MCP surfaces that accept invalid, malicious, or unexpected inputs.
Malicious Code Execution
Simulates payloads that could lead to unintended execution or system compromise.
Model Integrity & Output Handling
Evaluates hallucinations, misinformation, unsafe responses, and output misuse.
Resource Abuse
Detects denial-of-service patterns, infinite loops, or runaway agent behavior.
Supply Chain Risk
Tests vulnerabilities introduced through plugins, external tools, and third-party MCPs.
Agent Probe also aligns with OWASP Top 10 for LLMs, MCPs, and Agentic AI, ensuring industry-relevant coverage. Each probe is engineered to stress how agents actually behave — not just how models respond in isolation.
Results Engineering Teams Can Act On
Every issue identified by Agent Probe includes:
Clear evidence of the failure
Reproduction details
Severity classification
Actionable remediation guidance
Security and engineering teams can quickly understand root cause, prioritize fixes, and validate remediation through re-testing.
No vague findings.
No black-box alerts.
Built for Continuous Assessment
Agentic AI systems evolve constantly with prompts change, tools additions and updates on MCPs.
Agent Probe is designed for continuous testing, not point-in-time audits.
This ensures:
New attack paths are caught early
Regressions don’t slip into production
Security posture improves over time
Red teaming becomes part of your AI lifecycle, not a last-minute checkbox.
Custom Probes for Your Workflows
In addition to default probe suites, Agent Probe allows teams to:
Create custom probes for internal agent logic
Test proprietary MCP tools and workflows
Model organization-specific threat scenarios
This ensures red teaming matches your architecture, not a generic reference setup.
Break Your Agents Before Attackers Do
Agentic AI introduces unprecedented power — and unprecedented risk. With automated adversarial testing, deep MCP scanning, and role-aware evaluation, Agent Probe ensures your agentic AI behaves safely before it reaches users.
Agent Probe is a core pillar of Akto’s agentic security platform and works alongside:
Agent Discovery — to discover every agent, MCP, and tool
Agent Guard — to enforce runtime guardrails and policy control
Together, they give enterprises visibility, testing, and control across the entire agentic AI lifecycle.
Break your agents before attackers do. Build safer, and deploy confidently.
Ready to see Agent Probe in action? Schedule a demo here
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