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AI Agent Security Platform for MCPs, LLMs, and AI agents

Akto is a security platform for discovering and protecting AI agents, MCP servers, and LLM deployments.

Akto·Founded 2022·Contact for pricingAI SecurityAI Agents & AssistantsAI Compliance

AI Panel Score

7.2/10

6 AI reviews

Reviewed

AI Editor Approved

About Akto

Akto works by first discovering AI agents, MCP servers, tools, and resources across an organization's infrastructure, cloud environments, and employee laptops, cataloging them so security teams have visibility into what is actually running. From there, it applies automated agentic red teaming to probe for weaknesses and uses agentic security posture management to track risk over time. Guardrails and runtime protection are then enforced at the MCP and agent level to intercept malicious behavior during live operation.

The platform is organized around two named products described on the site: Akto Atlas, which secures AI usage across employee workstations and devices by giving visibility into AI agents, LLMs, and MCP tools individuals use, and Akto Argus, aimed at homegrown applications. Akto also documents specific attack patterns it defends against, including tool poisoning (compromised MCP-connected tools manipulating agent behavior), line jumping (inputs that skip validation to reach sensitive tool execution), tool shadowing (unauthorized tools impersonating legitimate ones), prompt injection via tool output, broken authorization (LLMs invoking backend actions without proper checks), and rug pull attacks (backends changing tool behavior mid-session). The company also lists an integration described as an 'Akto + Claude Inference Hook' for real-time DLP and security enforcement across Claude Enterprise surfaces.

Akto is positioned for enterprise security teams, with the site stating it is used by Fortune 1000 security teams. The homepage does not list specific pricing tiers or plans, and engagement is directed through a 'Book a demo' call to action rather than self-serve signup.

Features

Core

  • Agentic AI Discovery

    Automatically discovers and catalogs MCPs, AI agents, tools, and resources across infrastructure, cloud, and employee laptops.

Integration

  • Akto + Claude Inference Hook

    Provides real-time DLP and security enforcement across every Claude Enterprise surface.

Security

  • Agentic Runtime Protection

    Protects AI agents and MCP tools at runtime, catching risks like tool poisoning and prompt injection before they cause harm.

  • Agentic Security Posture Management

    Provides ongoing management and visibility into the security posture of deployed AI agents and MCP tools.

  • Akto Argus

    Provides security coverage for homegrown applications using AI agents and MCP tools.

  • Akto Atlas

    Secures AI usage across employee workstations and devices by providing visibility and enforcing guardrails at the individual employee level.

  • Automated Agentic Red Teaming

    Runs continuous, automated red teaming exercises against AI agents and MCP tools to surface exploitable risks.

  • Broken Authorization Detection

    Flags LLM-invoked backend actions that occur due to missing or bypassed authorization checks.

  • Line Jumping Detection

    Detects malicious inputs that trick agents into skipping validation steps and jumping directly to sensitive tool execution.

  • MCP and AI Agents Guardrails

    Enforces guardrails on MCP tools and AI agents to prevent unauthorized or unsafe actions.

  • Prompt Injection via Tool Output Detection

    Catches cases where LLMs misinterpret untrusted tool responses as prompts, preventing attackers from influencing model behavior.

  • Rug Pull Attack Detection

    Detects when backends change tool behavior mid-session, breaking trust assumptions and enabling unexpected execution paths.

  • Tool Poisoning Detection

    Identifies when attackers compromise MCP-connected tools to manipulate agent behavior, extract context, or return malicious outputs.

  • Tool Shadowing Detection

    Detects malicious or unauthorized tools that impersonate legitimate ones to hijack execution within MCP-based workflows.

Preview

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Pricing Plans

Shadow AI Discovery

Contact sales

Part of Akto's usage-based enterprise pricing; for teams needing to discover all AI usage across workstations and endpoints. Contact Sales for pricing.

  • Discover web & local AI usage - AI Agents, CLI coding assistants, MCP servers, agent skills
  • Continuous risk assessment per asset
  • Context-maps each agent to MCP servers, tools and databases it connects to
  • Flags personal accounts that bypass corporate ones

AI Governance & Audit

Contact sales

Part of Akto's usage-based enterprise pricing; for teams that need to control AI access and maintain audit trails. Contact Sales for pricing.

  • AI access governance by user, team and tool
  • Full audit trail of every AI interaction, violation and skill
  • Logs every prompt, response, violation and skill call as forensic audit trail
  • Audit-ready records mapped to compliance frameworks such as EU AI Act, OWASP, MITRE ATLAS

AI Guardrails

Contact sales

Part of Akto's usage-based enterprise pricing; for teams needing real-time guardrails against risky AI behavior. Contact Sales for pricing.

  • Supports 30+ AI guardrails
  • Stops PII, secrets and source code leaking into prompts
  • Inline policy enforcement - block, redact or warn in real time
  • Full coverage of OWASP Top 10 & MITRE ATLAS threats

Connectors

Contact sales

Part of Akto's usage-based enterprise pricing; provides a unified security layer across every place a team runs AI. Contact Sales for pricing.

  • Covers Claude (web, CLI, desktop, Cowork), ChatGPT and other major AI assistants
  • OpenAI & Anthropic Compliance API connectors pull enterprise usage and audit logs
  • Deploy Akto Endpoint Shield via MDM tools such as Intune, NinjaOne, Automox
  • Feeds posture & violations to your SIEM

AI Panel Reviews

The Decision Maker

The Decision Maker

Strategic bet, vendor viability, timing, adoption approval
7.6/10

A pivot bet on MCP security, real threat coverage, zero pricing transparency.

“Akto pivoted from API security to agentic AI security in 2025 and built a specific list of MCP attack detections. The catalog is deep but the commercial terms are a black box.”

Akto lists six named attack patterns: tool poisoning, line jumping, tool shadowing, prompt injection via tool output, broken authorization, rug pull attacks. That's a specific taxonomy, not marketing fog, and it maps to real MCP mechanics most vendors haven't bothered naming yet.

Two things worry me. One: this is a 2025 pivot from API security, so the agentic security depth is young even if the team isn't. Two: every pricing tier reads 'Contact Sales,' with zero dollar figures anywhere, which is normal for enterprise security but means no one can budget against it without a call.

Self-hosted, cloud, and open-source deployment options are a real strength for security teams that won't send AI traffic to a third party. The Claude Inference Hook integration is a concrete anchor point, not vaporware. Pilot Atlas on employee endpoints first before betting on Argus for homegrown apps.

Competitive Positioning8.0

Naming rug pull attacks and line jumping specifically is more precise than the generic 'AI firewall' framing most competitors use.

Reputation Risk6.5

Self-hosted and open-source options reduce lock-in, but zero visible pricing or contract terms makes it hard to vet before a sales call.

Speed to Value7.5

Discovery-first design (Akto Atlas, Akto Argus) means visibility can show up fast, though guardrail tuning against 30+ policies takes real setup time.

Strategic Fit8.0

MCP and agent security is a new attack surface most security stacks don't cover, so this advances capability rather than just cutting cost.

Vendor Viability7.0

Docs and blog exist and the feature list is granular, but the 2025 pivot means limited track record in this specific category.

Pros

  • Names six specific MCP/agent attack patterns instead of vague 'AI risk' language
  • Self-hosted, cloud, and open-source deployment options avoid forced lock-in
  • Claude Inference Hook gives a concrete, named integration point

Cons

  • No pricing figures anywhere, only 'Contact Sales' across every tier
  • Company pivoted into this category in 2025, so track record here is thin
  • No trial of the agent modules, so hands-on evaluation there starts with a sales call

Right for

Enterprise security teams that already run MCP servers or Claude Enterprise and need agent-level visibility now.

Avoid if

Skip it if you need transparent self-serve pricing before looping in procurement.

The Domain Strategist

The Domain Strategist

Craft and strategy in the product's domain — adapts identity per category, same lens
7.8/10

Correctly scoped attack surface for MCP-era agents, but I can't audit it without a pricing conversation.

“Akto is one of the first platforms to name the actual MCP threat model — tool poisoning, rug pulls, line jumping — rather than repackaging prompt-injection basics. The gap is verifiability: pricing and hands-on access sit behind a demo call, so detection accuracy is something I'd take on trust before a bake-off.”

Fourteen named detection capabilities mapped to real MCP attack primitives — tool shadowing, rug pull attacks, broken authorization — tells me this team is tracking the protocol layer, not just fine-tuning a generic LLM firewall. That's the right threat model for 2026. Most of my agent risk isn't the model, it's the tool graph and who's allowed to invoke what.

The two-product split — Atlas for employee-device shadow AI, Argus for homegrown apps — mirrors how I actually have to budget this: unmanaged AI use on laptops is a different risk register than agents my own engineers built. Self-hosted, cloud, and open-source deployment options matter for a security tool that needs to sit inside network boundaries, not outside them. Claude Inference Hook integration for real-time DLP is a concrete, checkable capability rather than a marketing slide.

The tradeoff: usage-based enterprise pricing with no published numbers means I can't model total cost of ownership before a sales call. The product release log is at least public and monthly — the August 2026 post covers plugin and skill discovery on agents — so I can read the shipping cadence even when I can't read the price. Over three years, adopting a discovery-plus-runtime-guardrail platform this early creates real lock-in around your MCP inventory — worth it only if the vendor keeps pace with the protocol's evolution.

Category Positioning8.0

Gartner recognition as a representative AI agent security platform and Fortune 1000 usage claim position it early in a fast-forming category.

Domain Fit8.2

Atlas/Argus split matches how I actually segment shadow-AI risk on endpoints versus risk in engineered agents.

Integration Surface7.8

Claude Inference Hook, SIEM feed, and MDM deployment via Intune/NinjaOne/Automox suggest real integration into existing SOC tooling.

Long-term Implications7.0

Self-hosted and cloud options limit lock-in, but usage-based contact pricing makes 3-year cost modeling difficult upfront.

Strategic Depth8.0

Named coverage of tool poisoning, rug pulls, and line jumping shows protocol-level threat modeling beyond generic prompt-injection tooling.

Pros

  • Detects specific MCP-native attacks like rug pulls and tool shadowing, not just generic prompt injection
  • Atlas covers employee-device shadow AI separately from Argus's homegrown-app coverage
  • Every prompt, violation and skill call is logged as an audit trail mapped to EU AI Act records
  • 30+ guardrails with OWASP Top 10 and MITRE ATLAS coverage claimed on the guardrails tier

Cons

  • No published prices on any tier — usage-based enterprise pricing requires a sales call to model cost
  • Monthly release posts summarise new capability themes rather than per-detection rule changes, so which detections shipped takes reading between the lines
  • No trial of Atlas or Argus, so detection accuracy can't be validated before a demo cycle

Right for

Enterprise security teams who already have MCP servers or employee AI usage they can't inventory and need runtime guardrails now.

Avoid if

Avoid if your agent estate is small enough to inventory by hand — this is built for orgs that have already lost track of which MCP servers are running.

The Finance Lead

The Finance Lead

Money, total cost of ownership, contracts, procurement math
6.3/10

Four pricing tiers, zero numbers. All roads lead to Book a Demo.

“Akto lists four product tiers — Discovery, Governance, Guardrails, Connectors — and not one carries a number, just Contact Sales. Real cost is invisible until procurement gets on a call.”

Four tiers on the pricing page. Not one carries a number. All say usage-based enterprise pricing, contact sales. That's not a tier structure — that's a menu with no prices, common in security tooling but still a procurement tax.

No seat count, no usage unit, no overage rate published. Can't model year 1 vs year 3 without a quote. Self-hosted, cloud, and open-source deployment options exist, which at least signals negotiation room on infrastructure cost — self-hosting can cut vendor lock-in if your team runs it.

30+ guardrails, Claude Enterprise inference hook, SIEM feed. Real feature depth for MCP and agent security. But depth without a number is a bet, not a budget line. Compare that to API security tools with published per-call pricing — Akto's silence here is the category norm for enterprise security, not a red flag alone, but it does mean finance signs blind.

Billing & Procurement5.0

Enterprise sales-call model only; no self-serve signup, no invoicing details published.

Contract Flexibility6.0

Open-source and self-hosted deployment options suggest some exit flexibility; no renewal terms published.

Pricing Transparency3.5

Four tiers listed, not one with a published number, all requiring a sales call.

ROI Clarity6.5

Named attack detections (tool poisoning, rug pull, broken authorization) give measurable incident categories to track post-deployment.

Total Cost of Ownership5.5

Usage-based enterprise pricing with self-hosted option noted, but no unit cost to project 3-year spend.

Pros

  • Self-hosted, cloud, and open-source deployment options, including an MIT-licensed edition
  • 30+ guardrails and named attack coverage: tool poisoning, line jumping, rug pull attacks
  • Claude Inference Hook integration for Claude Enterprise DLP

Cons

  • No published price on any of the four listed tiers
  • No self-serve signup — demo call required to see real numbers
  • No overage rate or usage unit disclosed for the usage-based model

Right for

Enterprise security teams with Fortune 1000-scale MCP and agent sprawl who can absorb a sales-cycle procurement process.

Avoid if

Avoid if you need a self-serve quote to build a budget line without a sales call.

The Domain Practitioner

The Domain Practitioner

Daily hands-on reality in the product's domain — adapts identity per category, same lens
7.6/10

Covers the whole MCP attack surface on paper, but the agent modules are demo-only

“Akto lists a genuinely thorough MCP/agent threat model — tool poisoning, line jumping, rug pulls, broken authorization — with runtime enforcement and posture tracking. Whether it holds up in a live SOC rotation is untestable from the outside since the agent modules route through a demo call.”

Fourteen named detections, six specific attack classes documented (tool shadowing, rug pull, prompt injection via tool output), plus a Claude Inference Hook for DLP on Claude Enterprise. That's a real threat model, not marketing filler — someone on this team has actually read the MCP spec and thought about line jumping. Two products, Atlas for endpoint/employee AI usage and Argus for homegrown apps, is a sane split that mirrors how shadow AI actually shows up: half on laptops, half in your own agent code.

No published prices, no trial of Atlas or Argus — you're booking a demo to find out what 30+ guardrails actually means in your SIEM. The open-source core is free to self-host, but that's the API-security platform, not the agent modules. There's a public API reference and a monthly product release log — the August 2026 post covers agent plugin and skill discovery — so I can track what shipped, though the posts read as capability themes rather than per-rule diffs.

Open source and self-hosted options are a plus for teams that won't ship prompt logs to a vendor cloud. But day-3 reality depends entirely on false-positive rates in the red-teaming loop, and that's invisible until you're past the sales call.

Day-3 Reality7.0

Threat coverage reads deep, but with no trial of the agent modules, tuning guardrail noise against real MCP traffic is unverified.

Documentation Practitioner-Fit7.5

Separate docs sites for the API-security and agent products, plus a monthly product release log; the API reference covers the API-security platform rather than the agent modules.

Friction Surface6.8

Contact-sales pricing on the agent modules means every eval cycle starts with a call, even though the open-source core installs locally.

Power-User Depth7.8

30+ guardrails, open source, cloud, and self-hosted deployment options signal room to grow from basic discovery into deep posture management.

Workflow Integration7.5

SIEM feed and Claude Inference Hook plus MDM deploy via Intune/NinjaOne/Automox suggest it's built to sit in existing SOC tooling, not replace it.

Pros

  • Names and defends against six specific MCP/agent attack patterns, not generic 'AI risk'
  • Atlas/Argus split covers both employee shadow-AI use and homegrown agent apps
  • Self-hosted and open source deployment options for teams wary of vendor cloud on prompt data
  • SIEM and MDM integrations (Intune, NinjaOne, Automox) fit existing security tooling

Cons

  • No published prices and no trial of Atlas or Argus — evaluation starts with a demo call
  • Release notes are monthly capability posts, not rule-level diffs, so detection changes still aren't trackable in CI
  • Enterprise-only positioning (Fortune 1000 framing) may leave smaller security teams underserved

Right for

Enterprise security teams already running a SIEM who need dedicated MCP and agent-layer detection beyond generic API security tools.

Avoid if

Skip it if your SOC has no capacity to tune guardrail false positives against live MCP traffic in the first weeks.

The Power User

The Power User

Daily human experience, onboarding, polish, learning curve, reliability
7.2/10

Solid detection list, but I can't tell you what a Tuesday with this actually looks like

“Akto covers a real and growing problem — MCP tools and AI agents doing sketchy things nobody signed off on. But there's no self-serve path to the agent modules and no published price, so you're evaluating this like a vendor RFP, not a product.”

Akto's feature list reads like someone actually sat down and mapped how MCP servers get abused: tool poisoning, tool shadowing, rug pull attacks where the backend changes tool behavior mid-session. That's specific, named-threat thinking, not generic 'AI security' marketing fluff. The Claude Inference Hook integration for real-time DLP is a concrete detail too, not vague platform-speak.

What I can't tell you is what onboarding feels like, because there's nothing here to self-serve. The open-source core installs in minutes, but Atlas and Argus route to 'Book a demo.' For a Fortune 1000 security team that's normal — enterprise security tools live in sales cycles, not signup flows. Three months in is a total unknown to anyone outside that call.

Two products, Atlas for employee devices and Argus for homegrown apps, split the surface area sensibly. Self-hosted, cloud, and open-source deployment options give real flexibility. The tradeoff: you're trusting the category description more than any hands-on proof.

Daily Polish7.0

Eight two-minute product videos walk through Atlas, Argus and the guardrails, though none show sustained daily use.

Learning Curve7.0

The Atlas/Argus split and named attack patterns like line jumping and broken authorization give security teams a clear mental model to build on.

Mobile Parity6.0

This is a workstation and infrastructure security tool by design, so mobile isn't the format the job calls for.

Onboarding Experience5.5

The agent modules are demo-only, so the first ten minutes is a sales call, not a product.

Reliability Feel6.8

Claims like "30+ AI guardrails" and OWASP/MITRE ATLAS mapping suggest maturity, and a monthly release log shows steady shipping, but there's no public uptime or detection-accuracy data to check them against.

Pros

  • Names specific attack patterns like tool shadowing and rug pull attacks rather than vague 'AI risk' language
  • Offers open-source, cloud, and self-hosted deployment options
  • Claude Inference Hook gives a concrete integration point for enterprise DLP

Cons

  • No trial or self-serve signup for Atlas or Argus, only a demo call
  • No pricing numbers on any of the visible tiers, just 'contact sales'
  • Vendor demo videos are the only view of the UI — no hands-on before the call

Right for

Enterprise security teams already fielding Fortune 1000-scale AI agent and MCP sprawl who don't mind a sales-led evaluation.

Avoid if

Avoid if you can't push an endpoint agent through MDM — Atlas coverage depends on deploying Endpoint Shield to employee workstations.

The Skeptic

The Skeptic

Contrarian. Watch-outs, deal-breakers, broken promises, category patterns
6.9/10

Broad feature list, efficacy you can't verify, and not one published price.

“Akto's capability list reads comprehensive for MCP and agent security, but the pivot-in-2025 story and four tiers that all say Contact Sales invite caution. Self-hosted deployment and an MIT-licensed core are a real plus for exit risk.”

Akto pivoted from API security to agentic AI security in 2025 — that's disclosed, which is honest, but it also means the tool-poisoning and rug-pull detection claims sit on a newer foundation than the site's confidence suggests. Four pricing tiers, not one carrying a number, every one routed to Contact Sales. Category norm for enterprise security, but no budget without a call.

The feature list — line jumping, tool shadowing, broken authorization, a Claude Inference Hook — is specific and well-named, which beats vague 'AI-powered security' copy. Whether it holds up under real red-teaming, I can't verify from a demo-gated site.

Exit is better than most: open-source and self-hosted options exist alongside cloud. If Akto stalls, you're not fully locked into a black box, though your guardrail configs likely don't port cleanly elsewhere. Fortune 1000 usage is stated, not shown.

Competitive Differentiation6.8

MCP-specific detection like tool shadowing and line jumping is a real niche, but the lane is filling fast with similar naming conventions.

Exit Portability7.5

Open-source and self-hosted deployment options exist alongside cloud, better than most SaaS-only competitors.

Long-term Viability6.7

Public docs, an API reference, an open-source repo that ships releases regularly, and a monthly product release log running through August 2026 — cadence is readable.

Marketing Honesty7.0

Contact Sales on every tier is stated plainly rather than dressed up, and the open-source edition is genuinely free.

Track Record Match6.5

Attack patterns named specifically (tool poisoning, rug pull) but the 2025 pivot from API security limits how long this exact product has been tested.

Pros

  • Specific, well-named attack coverage (tool poisoning, rug pull, line jumping)
  • Self-hosted and open-source deployment options reduce lock-in
  • Two-product split (Atlas for endpoints, Argus for homegrown apps) shows some architectural thought

Cons

  • Every tier priced by sales call, with no number published anywhere
  • No self-serve trial of the agent modules to verify claims independently
  • Company pivoted categories in 2025 — track record in this specific space is short

Right for

Enterprise security teams already fielding MCP servers and employee AI usage who need vendor-managed discovery now.

Avoid if

Avoid if you need a long track record in this exact category — the agentic line only starts appearing in the 2025 release posts.

Buyer Questions

Common questions answered by our AI research team

Features

What AI security risks does Akto detect?

Akto detects tool poisoning, line jumping, tool shadowing, prompt injection via tool output, broken authorization, and rug pull attacks, spanning the input, execution, and output layers of AI agent and MCP workflows.

Features

Does Akto secure AI usage on employee devices?

Yes. Akto Atlas gives visibility and enforces guardrails for AI agents, LLMs, and MCP tools used by employees across their workstations and devices, ensuring safe AI usage at the individual level.

Features

What is Akto Atlas used for?

Akto Atlas secures AI usage across employee workstations and devices, providing visibility and guardrail enforcement for AI agents, LLMs, and MCP tools used by individual employees.

Setup

Does Akto offer a self-hosted deployment option?

Yes. Akto offers Akto Open Source, Akto Cloud, and Akto Self-hosted deployment options.

Features

Can Akto discover MCP tools across cloud infrastructure?

Yes. Akto automatically discovers and catalogs MCPs, AI agents, tools, and resources across an organization's infrastructure, cloud, and employee laptops.

Alternatives to Akto

Who Akto competes with, and how each one differs

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