[Black Hat USA 2026] Meet Akto team at Booth #8508. Book a meeting->
[Black Hat USA 2026] Meet Akto team at Booth #8508. Book a meeting->
[Black Hat USA 2026] Meet Akto team at Booth #8508. Book a meeting->
See why teams choose Akto over Onyx Security
Onyx Security bundles LLM routing, cost optimization, and adoption dashboards alongside its Guardian Agent. Akto is a security-first AI platform, with deterministic and AI-mediated policy applied at a single decision point across employee AI usage, homegrown apps, and agents.
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When to use Akto vs. Onyx Security: A head-to-head comparison
When to use Akto vs. Onyx Security: A head-to-head comparison
Compare Akto and Onyx Security to find the best AI security solution for your needs. .
Compare Akto and Onyx Security to find the best AI security solution for your needs. .
Compare Akto and Onyx Security to find the best AI security solution for your needs. .
Use Case
Akto
Onyx Security
Shadow AI discovery
Native, continuous, risk-scored
Real-time inventory of MCPs, LLMs, AI apps, agents, and agent skills across SaaS, browsers, IDEs, and endpoints, with risk mapped to every asset.
Integration-led discovery
Reads from browser, AI platform, CNAPP, SASE, and EDR sources to detect shadow AI. Endpoint agent-skill inventory is not documented as a native capability.
Shadow AI discovery
Native, continuous, risk-scored
Real-time inventory of MCPs, LLMs, AI apps, agents, and agent skills across SaaS, browsers, IDEs, and endpoints, with risk mapped to every asset.
Integration-led discovery
Reads from browser, AI platform, CNAPP, SASE, and EDR sources to detect shadow AI. Endpoint agent-skill inventory is not documented as a native capability.
Shadow AI discovery
Native, continuous, risk-scored
Real-time inventory of MCPs, LLMs, AI apps, agents, and agent skills across SaaS, browsers, IDEs, and endpoints, with risk mapped to every asset.
Integration-led discovery
Reads from browser, AI platform, CNAPP, SASE, and EDR sources to detect shadow AI. Endpoint agent-skill inventory is not documented as a native capability.

Browser Extension
Native, on-device
A native browser extension intercepts AI interactions in real time and blocks unsafe prompts or sensitive data before they reach the model.
No native browser extension
Onyx integrates with browser discovery sources to feed its control plane but does not run a native extension for inline prompt blocking on the employee's device.
Browser Extension
Native, on-device
A native browser extension intercepts AI interactions in real time and blocks unsafe prompts or sensitive data before they reach the model.
No native browser extension
Onyx integrates with browser discovery sources to feed its control plane but does not run a native extension for inline prompt blocking on the employee's device.
Browser Extension
Native, on-device
A native browser extension intercepts AI interactions in real time and blocks unsafe prompts or sensitive data before they reach the model.
No native browser extension
Onyx integrates with browser discovery sources to feed its control plane but does not run a native extension for inline prompt blocking on the employee's device.

Input and output guardrails
Native, continuous, risk-scored
Deep guardrails on both input and output. Catches prompt injection, PII leakage, toxic content, and off-policy responses at the employee endpoint.
No employee coverage
Guardian Agent and AI gateway enforce guardrails at the agent and application layer. Enforcement does not cover employee prompts to third-party AI tools.
Input and output guardrails
Native, continuous, risk-scored
Deep guardrails on both input and output. Catches prompt injection, PII leakage, toxic content, and off-policy responses at the employee endpoint.
No employee coverage
Guardian Agent and AI gateway enforce guardrails at the agent and application layer. Enforcement does not cover employee prompts to third-party AI tools.
Input and output guardrails
Native, continuous, risk-scored
Deep guardrails on both input and output. Catches prompt injection, PII leakage, toxic content, and off-policy responses at the employee endpoint.
No employee coverage
Guardian Agent and AI gateway enforce guardrails at the agent and application layer. Enforcement does not cover employee prompts to third-party AI tools.

AI governance policy engine
AI-native governance
Granular policies per employee, role, team, and use case through a purpose-built governance layer.
No AI governance
No dedicated AI governance policy engine documented.
AI governance policy engine
AI-native governance
Granular policies per employee, role, team, and use case through a purpose-built governance layer.
No AI governance
No dedicated AI governance policy engine documented.
AI governance policy engine
AI-native governance
Granular policies per employee, role, team, and use case through a purpose-built governance layer.
No AI governance
No dedicated AI governance policy engine documented.

Agent builder integrations
50+ native integrations
Native integrations with AWS Bedrock, Databricks, Snowflake, n8n, LangChain/LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Vertex AI, Copilot, and 50+ others.
Limited integration coverage
Pre-built integrations across selected agent platforms, frontier model providers (OpenAI, Anthropic), SIEM, and cloud platforms (AWS, GCP, Azure).
Agent builder integrations
50+ native integrations
Native integrations with AWS Bedrock, Databricks, Snowflake, n8n, LangChain/LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Vertex AI, Copilot, and 50+ others.
Limited integration coverage
Pre-built integrations across selected agent platforms, frontier model providers (OpenAI, Anthropic), SIEM, and cloud platforms (AWS, GCP, Azure).
Agent builder integrations
50+ native integrations
Native integrations with AWS Bedrock, Databricks, Snowflake, n8n, LangChain/LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Vertex AI, Copilot, and 50+ others.
Limited integration coverage
Pre-built integrations across selected agent platforms, frontier model providers (OpenAI, Anthropic), SIEM, and cloud platforms (AWS, GCP, Azure).

AI security proxy
Single decision point
Managed inline proxy between agents and their models, MCPs, and tools. Every prompt, tool call, and MCP invocation passes through one policy plane with one audit trail.
Four fragmented layers
Split across an AI gateway, an inline MCP gateway, third-party browser/CNAPP/SASE/EDR integrations, and the Guardian Agent. No single inline component covers every agent call.
AI security proxy
Single decision point
Managed inline proxy between agents and their models, MCPs, and tools. Every prompt, tool call, and MCP invocation passes through one policy plane with one audit trail.
Four fragmented layers
Split across an AI gateway, an inline MCP gateway, third-party browser/CNAPP/SASE/EDR integrations, and the Guardian Agent. No single inline component covers every agent call.
AI security proxy
Single decision point
Managed inline proxy between agents and their models, MCPs, and tools. Every prompt, tool call, and MCP invocation passes through one policy plane with one audit trail.
Four fragmented layers
Split across an AI gateway, an inline MCP gateway, third-party browser/CNAPP/SASE/EDR integrations, and the Guardian Agent. No single inline component covers every agent call.

MCP security and governance
Per-call authorization
Decides, per call, whether a specific agent can invoke a specific tool on a specific MCP server. MCP servers are first-class policy targets. The MCP Registry acts as an enterprise allowlist.
Gateway access control
Proxies MCP traffic, controls MCP server access, sanctions approved tools, and surfaces supply-chain risks. Per-call authorization, allowlist registry, and MCP-servers-as-policy-targets are not named primitives.
MCP security and governance
Per-call authorization
Decides, per call, whether a specific agent can invoke a specific tool on a specific MCP server. MCP servers are first-class policy targets. The MCP Registry acts as an enterprise allowlist.
Gateway access control
Proxies MCP traffic, controls MCP server access, sanctions approved tools, and surfaces supply-chain risks. Per-call authorization, allowlist registry, and MCP-servers-as-policy-targets are not named primitives.
MCP security and governance
Per-call authorization
Decides, per call, whether a specific agent can invoke a specific tool on a specific MCP server. MCP servers are first-class policy targets. The MCP Registry acts as an enterprise allowlist.
Gateway access control
Proxies MCP traffic, controls MCP server access, sanctions approved tools, and surfaces supply-chain risks. Per-call authorization, allowlist registry, and MCP-servers-as-policy-targets are not named primitives.

AI agent identity governance
Complete identity governance
Discover all NHIs associated with AI Agents, map the identities to its owner, the agent and set identityb policies like rotation, segregation and more.
No agent identity governance
AI agent identity governance is not documented. Agent access is mediated through the AI gateway and the Guardian Agent's supervisory judgment.
AI agent identity governance
Complete identity governance
Discover all NHIs associated with AI Agents, map the identities to its owner, the agent and set identityb policies like rotation, segregation and more.
No agent identity governance
AI agent identity governance is not documented. Agent access is mediated through the AI gateway and the Guardian Agent's supervisory judgment.
AI agent identity governance
Complete identity governance
Discover all NHIs associated with AI Agents, map the identities to its owner, the agent and set identityb policies like rotation, segregation and more.
No agent identity governance
AI agent identity governance is not documented. Agent access is mediated through the AI gateway and the Guardian Agent's supervisory judgment.

Agent and MCP guardrails
Deterministic and AI-mediated
Bidirectional guardrails at every layer of the agent stack: prompt injection, output data leakage, tool-call authorization, Agent Intent Verification, denied topics, custom rules. Every policy tagged to OWASP Agentic Risk categories.
AI-mediated enforcement
Guardian Agent supervises agent reasoning and decides when to block, require approval, or steer. Enforcement depends on AI judgment, not on configurable policy primitives firing on defined conditions.
Agent and MCP guardrails
Deterministic and AI-mediated
Bidirectional guardrails at every layer of the agent stack: prompt injection, output data leakage, tool-call authorization, Agent Intent Verification, denied topics, custom rules. Every policy tagged to OWASP Agentic Risk categories.
AI-mediated enforcement
Guardian Agent supervises agent reasoning and decides when to block, require approval, or steer. Enforcement depends on AI judgment, not on configurable policy primitives firing on defined conditions.
Agent and MCP guardrails
Deterministic and AI-mediated
Bidirectional guardrails at every layer of the agent stack: prompt injection, output data leakage, tool-call authorization, Agent Intent Verification, denied topics, custom rules. Every policy tagged to OWASP Agentic Risk categories.
AI-mediated enforcement
Guardian Agent supervises agent reasoning and decides when to block, require approval, or steer. Enforcement depends on AI judgment, not on configurable policy primitives firing on defined conditions.

Red teaming and offensive testing
4,300+ probes
Actively attacks your own agents. Simulates adversarial inputs, probes tool-call boundaries, tests MCP interactions, identifies exploitable behaviors before production.
Undocumented scope
Described as "automated red teaming." No published OWASP Top 10 coverage, probe depth, or attack pattern count.
Red teaming and offensive testing
4,300+ probes
Actively attacks your own agents. Simulates adversarial inputs, probes tool-call boundaries, tests MCP interactions, identifies exploitable behaviors before production.
Undocumented scope
Described as "automated red teaming." No published OWASP Top 10 coverage, probe depth, or attack pattern count.
Red teaming and offensive testing
4,300+ probes
Actively attacks your own agents. Simulates adversarial inputs, probes tool-call boundaries, tests MCP interactions, identifies exploitable behaviors before production.
Undocumented scope
Described as "automated red teaming." No published OWASP Top 10 coverage, probe depth, or attack pattern count.

They said it, not us
Akto vs Onyx Security: Complete AI Security for Modern AppSec Teams
Comprehensive AI Security, MCP Security, Red Teaming, and Runtime Protection – all in one platform.















