Horizon3.ai

Autonomous AI pentesting that proves what attackers can actually reach

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Screenshot of Horizon3.ai, Autonomous AI pentesting that proves what attackers can actually reach

What is Horizon3.ai?

Horizon3.ai is a pattern recognition tool. Horizon3.ai runs NodeZero, an autonomous AI pentesting agent that safely exploits your production environment to prove which attack paths are real, then helps you prioritize fixes and re-test to confirm they worked. Built for enterprise security and exposure management teams rather than individual users.

Horizon3.ai is a proactive security platform built around NodeZero, an autonomous agent that runs real attack techniques against your own production environment. Rather than producing a list of theoretical vulnerabilities, NodeZero chains together exploitation steps the way an intruder would, then shows whether those steps lead anywhere that matters. The pitch is straightforward: knowing a flaw exists is not the same as knowing it is exploitable, and security teams drowning in scanner output need evidence instead of opinion. The workflow follows four repeating stages. NodeZero hacks, meaning it autonomously executes attack paths across web applications, infrastructure, cloud, data and identity from a single platform. You then fix what the evidence shows is genuinely reachable, verify the remediation with a re-test that confirms the path is closed, and repeat on a continuous schedule so new exposure surfaces as the environment changes. The company reports more than 354,000 autonomous tests run safely in production with zero downtime, which is the central claim buyers are being asked to accept. It is aimed at security leaders, red teams and exposure management groups inside larger organizations, particularly regulated or high-sensitivity environments. Horizon3 cites use by government agencies, four of the Fortune 10 and major healthcare providers. A dedicated NodeZero WebApp Pentesting offering extends the same approach to web applications. The practical comparison is with traditional vulnerability scanners, which are static and periodic, and with manual penetration tests, which are expensive and quickly stale. Setup runs through a scheduled demo rather than self-serve signup, so expect a sales-led onboarding. That fits an enterprise buyer with a defined production estate, not an individual developer experimenting on a side project.

How do you use Horizon3.ai?

  1. 1Book a demo with the Horizon3 team
    Access is sales-led, so the first move is requesting a walkthrough. The session covers the NodeZero platform and how attack-path validation maps to your environment.
    Horizon3.ai — Book a demo with the Horizon3 team
  2. 2Review the web application pentesting add-on
    If web apps are in scope, read the NodeZero WebApp page before the call. It explains how autonomous testing extends to application-layer attack paths.
    Horizon3.ai — Review the web application pentesting add-on
  3. 3Scope the production environment
    Work with the team to define which hosts, cloud accounts, identities and applications NodeZero may attack, and confirm the safety constraints for each.
  4. 4Run the first autonomous test
    NodeZero executes real attack techniques without deploying agents. Monitor the run and review the resulting attack paths as they are discovered.
  5. 5Fix the proven paths and verify
    Prioritize the weaknesses shown to lead somewhere sensitive, remediate them, then use the re-test function to confirm the path is actually closed.
  6. 6Schedule continuous validation
    Set up recurring tests so new exposure is caught as the environment changes, and track trends in open weaknesses and remediation time.

Pros and cons

Pros

  • Reports real exploitation paths rather than theoretical risk scores, so prioritization rests on demonstrated impactAI
  • Continuous retesting closes the loop on remediation instead of leaving results to go stale after a one-off engagementAI
  • Agentless execution means no software to deploy across the estate before the first test runsAI
  • Vendor states zero downtime across all production tests, which is the key concern for running attacks on live systemsAI
  • Covers web apps, infrastructure, cloud, data and identity within one platform rather than separate point toolsAI

Cons

  • No public pricing, no self-serve signup and no free tier: every evaluation starts with a sales conversationAI
  • Zero downtime and production-safe claims come from the vendor itself, so buyers should demand proof in their own environmentAI
  • Output quality depends on the agent correctly modeling your estate; unusual or highly custom architectures may need extra tuningAI
  • Enterprise positioning and demo-gated onboarding make it a poor fit for small teams or anyone wanting to test before committingAI
  • Autonomous exploitation can unsettle stakeholders and may need prior sign-off from operations and compliance before the first runAI

How much does Horizon3.ai cost?

Features

NodeZero autonomously executes real attack techniques in production without agents, chaining steps across web applications, infrastructure, cloud, data and identity. It proves exploitability rather than inferring it, prioritizes fixes by downstream business impact, offers one-click verification and re-testing to confirm remediation, and supports continuous scheduled validation with trends across impacts, open weaknesses and mean time to remediation.

Learn more

Frequently asked questions about Horizon3.ai

  • How do you use Horizon3.ai?
    The walkthrough on this page covers 6 steps: 1. Book a demo with the Horizon3 team 2. Review the web application pentesting add-on 3. Scope the production environment 4. Run the first autonomous test 5. Fix the proven paths and verify 6. Schedule continuous validation.
  • What platforms does Horizon3.ai support?
    Horizon3.ai is available on Web App.
  • What are the limitations of Horizon3.ai?
    No public pricing, no self-serve signup and no free tier: every evaluation starts with a sales conversation. Zero downtime and production-safe claims come from the vendor itself, so buyers should demand proof in their own environment. Output quality depends on the agent correctly modeling your estate; unusual or highly custom architectures may need extra tuning.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid