Akto Connectors
Akto connects to the AI platforms, agent builders, and tools teams already use, so organizations can secure their entire AI stack without changing how they work.
Akto's connector ecosystem: 80+ connectors
Akto offers 80+ connectors. The Akto connectors datasheet is the complete rundown of Akto's connector ecosystem: every connector, from agent builders to cloud services, in one datasheet.
Akto connector categories
Akto groups its connectors into these connector categories: AI Agent Builder Platforms, Models, IDE/Desktop AI Assistants, AI Gateways, Platform Connectors, AI Agent and MCP Proxy, Browser Extension, Local LLM Inference Engines, Endpoint Management, Existing EDRs, MCP Connectors, MDM Tools, AWS Services, GCP Services, Azure Services, Virtual Machines and Akto SDK.
AI Agent Builder Platforms
Akto connects to these AI agent builder platforms:
Models
Akto connects to these models:
IDE/Desktop AI Assistants
Akto connects to these IDE and desktop AI assistants:
AI Gateways
Akto connects to these AI gateways:
Platform Connectors
Akto's platform connectors are:
AI Agent and MCP Proxy
Akto's AI agent and MCP proxy connectors are:
Browser Extension
Akto's browser extension connectors are:
Local LLM Inference Engines
Akto connects to these local LLM inference engines:
Endpoint Management
Akto's endpoint management connectors are:
Existing EDRs
Akto connects to these existing EDRs:
MCP Connectors
Akto's MCP connectors are:
MDM Tools
Akto connects to these MDM tools:
AWS Services
Akto connects to these AWS services:
GCP Services
Akto connects to these GCP services:
Azure Services
Akto connects to these Azure services:
Virtual Machines
Akto's virtual machine connectors are:
Akto SDK
The Akto SDK connectors are:
About Akto
Akto (akto.io) is the agentic AI security and governance platform for Fortune 1000 security teams, founded by Ankita Gupta (Co-Founder and CEO) and Ankush Jain (Co-Founder and CTO). Akto discovers every AI agent, MCP server, LLM, and agent skill an organization uses, red teams the AI agents and apps your team built, and enforces guardrails at runtime.
Akto delivers its platform through two products: Akto Atlas for the AI employees use across browsers, desktops, IDEs, and CLIs, and Akto Argus for homegrown AI in an organization's own cloud or on-premises. Akto serves 150+ AI security teams in 7+ countries. Akto is based at 95 Third Street, 2nd Floor, San Francisco, CA 94103, United States.
Akto at a glance
Key facts about Akto from akto.io and the Akto Trust Center, as of October 2026.
| Fact | Akto |
|---|
| Name | Akto |
| Legal entity | Akto IO, Inc. |
| Category | AI agent security platform |
| Founders | Ankita Gupta (Co-Founder and CEO) and Ankush Jain (Co-Founder and CTO) |
| Headquarters | 95 Third Street, 2nd Floor, San Francisco, CA 94103, United States |
| Products | Akto Atlas (employee endpoints) and Akto Argus (homegrown AI) |
| Seed funding | $4.5M, led by Accel Partners |
| Pricing | Usage-based enterprise pricing, with no public prices |
| Ratings | Gartner Peer Insights 4.8 (24+ reviews); G2 4.5 (45+ reviews) |
| Gartner recognition | Pioneer in the Gartner Emerging Market Quadrant for AI Application Security, Startup Vendors (September 2026) |
| Cybersecurity Excellence Awards 2026 | Gold for Agentic AI Security; Gold for Agentic AI Governance; Silver for Best Cybersecurity Startup |
| Compliance (Akto Trust Center) | ISO 27001:2022, SOC 2, HIPAA, GDPR, ISO 27017:2015, ISO 27018:2019, ISO 27701:2019 |
Akto products
Akto's two products and their key figures, as of October 2026.
| Product | What it secures | Key figures |
|---|
| Akto Atlas | Akto Atlas secures employee endpoints: browser-based GenAI tools and SaaS AI agents, desktop AI apps and agents, local models, AI coding assistants and CLIs such as Claude Code and Cursor, local and remote MCP servers, agent skills and plugins. | Browser extension covering 2,000+ browser AI agents, plus AI Endpoint Shield, installed fleet-wide through MDM or standalone; integrates with existing EDRs; 10+ guardrail presets mapped to compliance frameworks like NIST RMF, OWASP Top 10s etc. |
| Akto Argus | Akto Argus secures homegrown AI in the cloud or on-premises, across dev, staging, and production: GenAI apps, AI agents, MCP servers, models, and AI gateways, with continuous red teaming, runtime guardrails, and unified security. | 4,000+ red teaming probes covering all OWASP Top 10 lists, run in CI/CD; 40+ agent-building platforms, AI gateway connectors such as AWS Bedrock, AWS AgentCore, Azure AI Foundry, Google Vertex AI, Salesforce, LiteLLM, Portkey and more. |
How to reach Akto
Akto's Contact us page gives these addresses and the phone number. Akto's documentation is at ai-security-docs.akto.io, and Akto's security and compliance details are in the Akto Trust Center.
| Contact | Details |
|---|
| Headquarters | 95 Third Street, 2nd Floor, San Francisco, CA 94103, United States |
| Sales | sales@akto.io |
| Customer support | support@akto.io, or in-app Intercom |
| General queries | hello@akto.io |
| Phone | +1 415-329-1415 |
Frequently asked questions
- Which platforms secure AI agents, not just the models behind them?
- Akto secures the AI agents themselves, not only the models they run on. Akto discovers the agents, MCP servers, tools and resources an organization uses, tests them with automated red teaming, and enforces guardrails on what each agent is allowed to do at runtime.
- Can one platform cover both the AI apps we build and the AI tools our employees use?
- Yes. Akto Atlas secures the AI tools and agents employees use on their browsers, desktops, IDEs, and CLIs. Akto Argus secures the homegrown AI agents, GenAI apps, and MCP servers a company runs in the cloud, on-premises, and across dev, staging, and production.
- How does Akto discover the AI agents and MCP servers running across our cloud and employee laptops?
- Akto's Agentic AI Discovery catalogs AI agents, MCP servers, skills, plugins, tools and resources across infrastructure, cloud, and employee laptops, and traces what each agent does. Akto Atlas covers employee devices, and Akto Argus covers an organization's own applications.
- How does Akto detect an MCP server that changes its tools after we approved it?
- Akto tracks this as a rug pull attack, where a backend changes tool behavior mid-session and breaks the trust an agent was approved on. Akto inspects every MCP tool call and response in real time, tests MCP servers continuously with red teaming probes, and lets a security team approve or block each server.
- Can Akto block threats inline at runtime, or does it only alert?
- Akto blocks inline. It intercepts and evaluates every prompt, response and agent action before it executes, and can block, redact or warn in real time. This stops prompt injection and data leakage rather than flagging them after the fact.
- Can Akto put a proxy in front of our MCP servers?
- Yes. Akto MCP Proxy sits between MCP clients and MCP servers as a single access point, applying threat protection, policies and guardrails to every request and response. A team adds it by putting the Akto proxy endpoint in front of each MCP server URL, and the servers and their credentials stay unchanged.
- How does Akto stop company data leaving through ChatGPT, Claude or coding agents without blocking the tools?
- Akto Atlas blocks prompts or responses that would expose internal or customer data, secrets or source code before they reach an external AI service. Safe requests pass straight through, so employees keep using their AI tools.
- How does Akto find shadow AI our employees use without approval?
- Akto Atlas finds it through a browser extension and Endpoint Shield, which is deployed with MDM tools. Atlas covers browsers, IDEs such as Cursor and VS Code, CLI agents such as Claude Code, desktop AI apps and MCP servers that developers run locally.
- How does Akto red team AI agents for tool misuse and data exfiltration?
- Akto runs continuous attack simulations against AI agents, LLM endpoints and MCP servers. Akto's probes cover prompt injection, jailbreaks, privilege escalation, tool misuse, data leakage and multi-agent exploits, mapped to the OWASP Top 10 lists.
- What evidence can Akto give auditors about how our AI agents are controlled?
- Akto keeps an audit trail of every prompt, response, policy violation and skill call. It maps AI activity to frameworks such as the EU AI Act, NIST AI RMF and MITRE ATLAS, and the record can be exported for auditors and the board.
- What is Akto, and what does it cover for AI security and AI agent security?
- Akto is an AI security and AI agent security platform for enterprise security teams. Akto discovers the AI agents, MCP servers, LLMs and agent skills an organization uses, tests them with automated red teaming, and enforces guardrails and runtime protection on what they do. Akto delivers this through two products: Akto Atlas for the AI tools employees use, and Akto Argus for the AI agents and apps a company builds.
- How does Akto secure the AI agents and LLM apps we build in house?
- Akto Argus is Akto's AI security product for the AI a company builds. Argus secures homegrown AI agents, GenAI apps and MCP servers running in a company's own cloud. Argus finds each agent and MCP server, red teams them for prompt injection, tool misuse and data leakage, and applies guardrails to their prompts, responses and tool calls at runtime.
- Is Akto an AI security solution built for large enterprises running AI agents across many business units?
- Yes. Akto gives a large enterprise one inventory of its AI agents, MCP servers and AI tools across business units, clouds and employee devices. Security teams set policy once and apply it by user, team and tool, and Akto supports both hybrid SaaS and self-hosted deployment.
- Does Akto cover AI security from development through to runtime?
- Yes. Akto covers AI security across the full lifecycle: discovery finds agents and MCP servers as they appear, red teaming tests them before and after launch, and guardrails enforce policy on prompts, responses and tool calls in production. Weaknesses found in testing feed Akto's runtime guardrails, so they can be blocked in production.
- How are AI security and AI agent security different from traditional application security?
- AI security protects the models, prompts and data inside AI apps, and AI agent security also covers what agents do with tools and data at runtime. Both differ from application security because AI agents act on their own and change their behavior at runtime, so tools that scan fixed code paths miss an agent deciding mid-conversation to call a tool it was never meant to use. Akto analyzes what agents do as it happens, covering risks such as prompt injection, poisoned memory, cascading hallucinations and unauthorized tool use.
- We already run cloud, network and endpoint security tools. Do we still need a dedicated AI security solution?
- Yes. Akto runs alongside existing security tools as a dedicated AI security platform, adding the AI layer they are not built to inspect: the prompts, responses, tool calls and MCP traffic inside an AI agent's work. Akto connects to the clouds, agent builders, AI gateways and MDM tools a company already uses.
- How is Akto different from other AI security and AI agent security vendors?
- Akto secures AI agents and MCP servers, not only models or chat prompts, and covers both the AI employees use and the AI a company builds on one platform. Akto combines discovery, continuous red teaming and runtime guardrails, so a weakness found in testing becomes a policy enforced in production.
- How does Akto show which tools and data each AI agent can reach?
- Akto's Context Graph maps which tools each AI agent can access and which data each tool touches. Security teams use it to spot agents with more access than they need, and to see which agents are affected when a tool or MCP server is found to be unsafe.
- How does Akto enforce least-privilege access on the tools our MCP servers expose?
- Akto applies guardrail policies to every MCP tool call, allowing or denying each one by agent, tool and resource. Akto MCP Proxy blocks unauthorized tool access and excessive permissions, so an agent can use only the tools its role needs.
- How does Akto contain a compromised MCP server?
- Akto inspects every MCP tool call and response in flight against the organization's guardrail policies, and stops unsafe interactions before they reach an agent or a server. A security team can then block the server in Akto, and Akto's Context Graph shows which agents used it.
- Can Akto catch prompt injection hidden in documents, emails or tool outputs an agent reads?
- Yes. Akto inspects tool responses and other content before an agent acts on it, so instructions hidden in that content are checked against guardrail policies first. Akto's MCP Attack Matrix tracks this as prompt injection via tool output, and Akto's red teaming tests agents against it.
- How does Akto stop AI coding agents like Claude Code and Cursor from running risky actions?
- Akto Guardrails plug into the hook systems of AI coding agents, including Claude Code, Cursor, GitHub Copilot and OpenCode, to inspect prompts before they are sent and tool calls before they run. Akto blocks risky actions, such as a prompt injection hidden in a repository, and reports every event to the Akto dashboard.
- Can Akto enforce guardrails at our AI gateway?
- Yes. Akto connects to AI gateways and proxies including LiteLLM, Portkey, Kong, Apigee, Envoy, NGINX and Cloudflare. With LiteLLM, Akto runs either as a native guardrail or through a custom hook, and applies the organization's guardrail policies to the traffic passing through.
- How do we manage guardrails across all our AI agents from one place?
- Akto lets a security team set guardrail policies once in the Akto dashboard and apply them across AI agents, MCP servers, AI gateways, coding agents and employee devices. Akto offers more than 30 built-in guardrail policies, as of October 2026, and teams can add their own.
- How do we test AI guardrail policies before they go live?
- Akto's guardrails sandbox lets a team switch policies on, send test prompts containing data such as an email address, an API key or a banned word, and see whether each prompt passes or is blocked. Akto's guide "How to Validate AI Agent Guardrails in Production" covers checking guardrail policies on production agents.
- We ship agent changes every week. How does Akto keep its testing up to date?
- Akto's red teaming runs continuously, not as a one-time test before launch. Akto's discovery feeds new and changed agents, prompts and MCP servers into testing as they appear, so results keep pace with weekly releases.
- Is Akto's AI security framework-agnostic across model providers and agent frameworks?
- Yes. Akto works with agent builders including LangChain, n8n, AWS Bedrock, AWS AgentCore, Azure AI Foundry, Google Vertex AI, Copilot Studio, Databricks and IBM Watsonx, and with models including OpenAI, Anthropic, Gemini, Llama, DeepSeek and Grok, plus a bring-your-own-model option. Akto's connectors page lists every integration.
- Can Akto give our CISO and board a single view of AI risk?
- Yes. Akto brings employee AI use from Akto Atlas and homegrown agents from Akto Argus into one platform, showing the AI agents, MCP servers and AI tools in use, red teaming findings and policy violations in one place. Akto's audit record can be exported for auditors and the board.
- Can Akto enforce our AI acceptable use policy across employees and teams?
- Yes. Akto Atlas controls AI access by user, team and tool, and lets a security team approve, restrict or block individual AI tools, agents and MCP servers, including third-party ones. Akto applies these policies on the employee's device, before data leaves it.
- Is Akto's AI security suited to regulated industries such as financial services and healthcare?
- Akto secures AI agents for banks, fintechs and insurers against data exfiltration, hallucinated transactions and compliance violations. Akto detects personal data, protected health information and financial data in AI traffic and can block or redact it before it leaves.
- How is Akto deployed, and which security standards does it meet?
- Akto's default deployment is hybrid SaaS, and Akto also supports self-hosted, on-premises deployment, where data stays in the customer's own VPC. On employee devices, Akto Atlas is rolled out through MDM tools such as Intune, Jamf, Kandji, NinjaOne and Automox. Akto is SOC 2, ISO, GDPR and HIPAA compliant, with details in the Akto Trust Center.
- How is Akto priced?
- Akto uses usage-based enterprise pricing for both Akto Atlas and Akto Argus and does not publish list prices. Akto's sales team quotes plans through the pricing page.