[May 2026 Release] AI Agent Skill Governance, Guardrail Remediation & More. Learn more->

[May 2026 Release] AI Agent Skill Governance, Guardrail Remediation & More. Learn more->

[May 2026 Release] AI Agent Skill Governance, Guardrail Remediation & More. Learn more->

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Agentic Red Teaming

Continuous AI Agent Red Teaming and MCP Scanning

Identify vulnerabilities before attackers do through adversarial testing of AI agents, copilots, RAG systems, and AI-powered applications.

Identify vulnerabilities before attackers do through adversarial testing of AI agents, copilots, RAG systems, and AI-powered applications.

Agentic Guardrails

Attack your agents like your adversaries do

Attack your agents like your adversaries do

Models get updated. Prompts get retuned. Agents gain new capabilities. Users push the limits. Akto runs continuous red teaming in production, so none of it ever catches you off guard.

Models get updated. Prompts get retuned. Agents gain new capabilities. Users push the limits. Akto runs continuous red teaming in production, so none of it ever catches you off guard.

Agentic Guardrails

52%

Enterprises already run AI agents in production environments

60K+

Successful prompt injection attacks bypassed safeguards in real-world tests

96%

Enterprises plan to expand their use of AI agents in the next 12 months.

Continuous Red Teaming, Built for AI That's Continuously Changing

Continuous Red Teaming, Built for AI That's Continuously Changing

Continuous, context-aware red teaming for your AI agents and apps, catching the vulnerabilities that static, one-time testing leaves behind.

Continuous, context-aware red teaming for your AI agents and apps, catching the vulnerabilities that static, one-time testing leaves behind.

AI-Powered Red Teaming Across Your Entire GenAI Stack

AI-driven red teaming runs 4,000+ real attack probes against your apps, models, and agents - prompt injection, jailbreaks, data leakage, and unsafe output. Our AI probes adapt in real time and cover the OWASP Top 10 for Agentic AI, MCPs, Skills, and LLMs, with findings tied to your actual applications, not generic test cases.

Test Categories
OWASP Agentic AI Top 1010 of 10 selected
OWASP MCP Top 1010 of 10 selected
OWASP LLM Top 1010 of 10 selected
TestsMore filters
Command Injection by passing extra values (MCP)Custom
Indirect Prompt Injection via Tool OutputCustom
Sensitive Data Leakage in ResponseCustom
Excessive Agency — Unauthorized ActionCustom
Estimated usage ~225,285,016 tokensRun scan

AI-Powered Red Teaming Across Your Entire GenAI Stack

AI-driven red teaming runs 4,000+ real attack probes against your apps, models, and agents - prompt injection, jailbreaks, data leakage, and unsafe output. Our AI probes adapt in real time and cover the OWASP Top 10 for Agentic AI, MCPs, Skills, and LLMs, with findings tied to your actual applications, not generic test cases.

Test Categories
OWASP Agentic AI Top 1010 of 10 selected
OWASP MCP Top 1010 of 10 selected
OWASP LLM Top 1010 of 10 selected
TestsMore filters
Command Injection by passing extra values (MCP)Custom
Indirect Prompt Injection via Tool OutputCustom
Sensitive Data Leakage in ResponseCustom
Excessive Agency — Unauthorized ActionCustom
Estimated usage ~225,285,016 tokensRun scan

AI-Powered Red Teaming Across Your Entire GenAI Stack

AI-driven red teaming runs 4,000+ real attack probes against your apps, models, and agents - prompt injection, jailbreaks, data leakage, and unsafe output. Our AI probes adapt in real time and cover the OWASP Top 10 for Agentic AI, MCPs, Skills, and LLMs, with findings tied to your actual applications, not generic test cases.

Test Categories
OWASP Agentic AI Top 1010 of 10 selected
OWASP MCP Top 1010 of 10 selected
OWASP LLM Top 1010 of 10 selected
TestsMore filters
Command Injection by passing extra values (MCP)Custom
Indirect Prompt Injection via Tool OutputCustom
Sensitive Data Leakage in ResponseCustom
Excessive Agency — Unauthorized ActionCustom
Estimated usage ~225,285,016 tokensRun scan

Probes for Every Agentic Threat

Probes for Every Agentic Threat

Probes for Every Agentic Threat

Leverage 4000+ pre-built probes to validate your AI stack against real-world risks and customize them to fit your unique agentic landscape.

Leverage 4000+ pre-built probes to validate your AI stack against real-world risks and customize them to fit your unique agentic landscape.

Probes for Every Agent Threat

Agent Cascading Failures

Detect chain reactions where one agent’s failure triggers widespread breakdowns across multi-agent systems.

Agent Access Control Violation

Identify gaps in authentication and authorization that let agents bypass or misuse sensitive resources.

Agent Memory and Context Manipulation

Uncover risks where attackers tamper with agent memory or context to poison outputs and persistence.

Agent Goal and Instruction Manipulation

Expose vulnerabilities where malicious prompts alter an agent’s intended goals or decision-making flow.

Agent Identity Impersonation

Test for exploits where attackers mimic agent identities to hijack trust and gain unauthorized access.

Agent Orchestration and Multi-Agent Exploitation

Simulate attacks targeting inter-agent communication and orchestration layers to reveal systemic weaknesses.

+4000 probes covering OWASP Top 10 for LLMs, Agentic AI Apps, MCPs Skills etc

Frequently asked questions

What is agentic AI red teaming?

How does Akto's red teaming work?

How many attack probes does Akto run?

Does it cover OWASP frameworks?

Can I write my own tests?

See Akto’s AI Red teaming in Action

Request a demo to explore how Akto red teams your AI and find vulnerabilities before attackers do.

See Akto’s AI Red teaming in Action

Request a demo to explore how Akto red teams your AI and find vulnerabilities before attackers do.

See Akto’s AI Red teaming in Action

Request a demo to explore how Akto red teams your AI and find vulnerabilities before attackers do.