Ranking across industries

Best AI to find security vulnerabilities

Test code, applications, cloud systems, or agents to discover exploitable weaknesses before they are abused. We reviewed 10 products from 7 companies on a 100-point evidence score. These 7 earned a place.

Updated Oct 20, 202610 products reviewed7 companies

Market noteScores reflect documented task fit, adoption evidence, product detail, pricing and market fit. Vendor claims remain unverified unless independently corroborated. Missing evidence indicates uncertainty, not poor product quality.

  1. 1

    XBOW Autonomous Offensive Security Platform

    by XBOW

    Discovers and validates exploitable vulnerabilities in applications and APIs, producing exploit proofs and assessment reports. Named customer cases describe concrete business use, supporting adoption under the supplied contract but not independent outcome verification.

    Best for security teams seeking continuous application and API pentesting with working exploit proofs and remediation validation

    Task fit
    40/40
    Adoption
    10/20
    Evidence
    11/15
    Pricing
    8/15
    Market fit
    10/10
  2. 2

    AI Pentest

    by Corgea

    The described workflow takes an application through reconnaissance, attacks and exploitation to a report, directly supporting cross-industry business security testing. Published per-pentest prices improve transparency, while customer evidence does not establish adoption of this specific product.

    Best for business security teams seeking application pentesting with auditor-ready reportsFree planFrom $4,000

    Task fit
    40/40
    Adoption
    5/20
    Evidence
    11/15
    Pricing
    11/15
    Market fit
    10/10
  3. 3

    Hex Security

    Continuously probes business systems for weaknesses such as SQL injection and broken access controls, returning validated findings with proof-of-concepts.

    Best for teams needing continuous web application, API and infrastructure pentestingFree trial

    Task fit
    39/40
    Adoption
    4/20
    Evidence
    12/15
    Pricing
    4/15
    Market fit
    10/10
  4. 4

    Pentesting Agent

    by Tolmo

    Runs autonomous offensive testing inside the stack to find exploits across code, cloud, CI and production. Supplied use cases also include dependency mapping and verified fix generation.

    Best for engineering and security teams testing connected production stacks

    Task fit
    38/40
    Adoption
    4/20
    Evidence
    12/15
    Pricing
    2/15
    Market fit
    10/10
  5. 5

    Nyx

    by Fabraix, Inc.

    Nyx explicitly performs AI-agent vulnerability discovery through autonomous, adaptive, multi-turn black-box testing. Concrete testing capabilities establish task fit, but unsupported reporting and remediation claims cannot establish a complete workflow.

    Best for business AI teams testing customer-facing agents for security weaknessesFree planCustom pricing

    Task fit
    30/40
    Adoption
    5/20
    Evidence
    8/15
    Pricing
    11/15
    Market fit
    10/10
  6. 6

    Vega Code Scan

    by Nebula Security

    The named AI vulnerability-research pipeline explicitly targets exploitable weaknesses, with supplied use cases spanning kernels, browsers, web infrastructure and smart contracts.

    Best for specialist product-security teams researching low-level and infrastructure flaws

    Task fit
    37/40
    Adoption
    5/20
    Evidence
    9/15
    Pricing
    2/15
    Market fit
    10/10
  7. 7

    NodeZero Rapid Response

    by Horizon3.ai

    Explicitly tests exploitable known vulnerabilities. The named Mid Devon District Council case describes actual Rapid Response use for continuous risk validation and remediation prioritization, supporting adoption under the supplied evidence contract.

    Best for business security teams validating exposure to newly disclosed known exploited vulnerabilities

    Task fit
    30/40
    Adoption
    10/20
    Evidence
    8/15
    Pricing
    0/15
    Market fit
    10/10

We reviewed 10 candidate products from 7 companies and published 7 positions. Totals include duplicate company entries and products removed during task, market and evidence review. Each company holds at most one position.