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Agentic Red Teaming

Break Your Agentic Stack Before Hackers Do

Continuously red-team LLMs, MCP Servers, and AI agents to expose weaknesses, validate guardrails, and harden defenses at scale.

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The Agentic Era Is Here, and It’s W[——]de Open!

52%

Enterprises already run AI agents in production environments

60,000+

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.

How Akto Red Teams the Agentic Stack

From prompt injection to multi-agent exploits, Akto runs relentless security tests to expose and validate risks before attackers do.

Contextual Attack Simulation

Run 50+ contextual attacks across LLMs, MCPs and agents to mirror real threats.

Contextual Attack Simulation

Run 50+ contextual attacks across LLMs, MCPs and agents to mirror real threats.

Contextual Attack Simulation

Run 50+ contextual attacks across LLMs, MCPs and agents to mirror real threats.

Prompt Hardening

Harden system and user prompts to block injection, manipulation, and goal drift.

Prompt Hardening

Harden system and user prompts to block injection, manipulation, and goal drift.

Prompt Hardening

Harden system and user prompts to block injection, manipulation, and goal drift.

LLM-powered Red Teaming

Use LLM-driven attacks to generate high-impact, multi-turn exploits and surface deep failures.

LLM-powered Red Teaming

Use LLM-driven attacks to generate high-impact, multi-turn exploits and surface deep failures.

LLM-powered Red Teaming

Use LLM-driven attacks to generate high-impact, multi-turn exploits and surface deep failures.

4.8 out of 5

Gartner Peer Insights - Akto API Protection

Probes for Every Agentic Threat

Leverage 1000+ pre-built probes to validate your AI stack against real-world risks and customize them to fit your unique agentic landscape.

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.

+1000 solid ones...

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