Top 5 MindFort alternatives

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MindFort is an autonomous AI pentesting platform. Its agents attack running web apps, APIs, MCP servers and networks, prove each finding with evidence and a proof of concept, and retest once you deploy a fix. Linking a GitHub repository turns an assessment into a white-box test that also reviews your code, and a GitHub app reviews each pull request.

MindFort goes further than many pentesting tools on fixes: it opens patch pull requests on GitHub, at 1 credit each. Assessments can run on a schedule from daily to monthly, findings sync to Jira and Linear, and Enterprise customers can deploy MindFort privately in their own AWS, Azure or GCP account.

MindFort is sold as a monthly plan with a credit allowance. Each assessment draws credits by depth, from 200 for Balanced to 800 for Ultra. Starter costs from $499 a month for 250 credits and one target, and Scale costs from $999 a month for 800 credits and unlimited targets.

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MindFort does a lot well, but teams usually start looking elsewhere for one of three reasons.

1. There is no free plan, and credits go quickly. MindFort starts at $499 a month, and the first assessment on Starter is complimentary. A Deep assessment uses 400 credits, more than Starter's 250 a month, and an Ultra assessment uses all 800 of Scale's monthly credits. Credit pack prices and the overage price are not published, and neither is the credit cost of a pull request review, so teams that test often can find their monthly cost hard to predict.

2. Code review is tied to the pentest. MindFort reviews source code as part of a white-box assessment, which runs against a live, verified target with a GitHub repository linked. There is no standalone code audit for code that is not deployed yet. MindFort flags vulnerable dependencies, but its documentation does not describe this, and secrets and IaC file scanning are not part of the product.

3. Its code features are GitHub only. White-box testing needs a linked GitHub repository, pull request review is a GitHub app, and patch pull requests open on GitHub. Teams on other source control platforms lose these features. Private deployment in your own cloud is limited to the custom Enterprise contract.

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Here is how the leading alternatives compare, starting with the one we build.

#1 AISafe Labs

AISafe Labs is an application security platform that uses AI agents to test your code and your running application the way an attacker would. It runs code audits, black-box and white-box pentests, pull request reviews and continuous monitoring from one place, and its free plan includes a full SAST suite.

Like MindFort, AISafe Labs runs AI pentests that prove issues against your live application and reviews pull requests. The difference is that it can audit your code on its own, before anything is deployed. Its agents build a model of your codebase and trace user input from where it enters to where it reaches a sensitive operation, which is how they find broken access control between teams and business-logic errors before release. A separate triage pass then confirms each finding, merges duplicates that share a root cause and shows its reasoning.

Key features

• Code Audit: AI agents review the whole repository and report evidence-backed findings with exact code locations, the path user input takes, and remediation guidance.
• Code Scan, free: SAST, AI SAST, dependency scanning, secrets detection, licence risk and IaC scanning on the free Basic plan, with no card required.
• Black-box and white-box pentests: agents probe your live application over HTTP and in a browser, and white-box tests combine source access with live confirmation, so findings come with evidence you can replay.
• Pull request security review: every pull request is reviewed for security defects, using what earlier audits learned about the project.
• Endpoint monitoring: AISafe re-runs the proof of each fixed finding against your live application on a schedule and alerts you when a fix regresses.
• Fix verification (beta): check a patched source revision against the original finding before you deploy it.
• Built for coding agents: findings, remediation guidance and fix verification are available through the AISafe API, so your own coding agent can read a finding, write the patch and start the verification itself.
• Fits your workflow: export findings to Jira or Linear, get alerts in Slack or Teams, and run AISafe on your own infrastructure if you need to.

Why AISafe Labs stands out as a MindFort alternative

• It audits code without a live target. Code audits review the whole repository on their own, so you can find flaws in code that is not deployed yet, and pentests confirm issues once it is running.
• Scanning is free. The Basic plan includes SAST, AI SAST, dependency, secrets, licence and IaC scanning, which covers the secrets and IaC files MindFort does not scan.
• It checks the fix before you deploy. Fix verification tests a patched source revision against the original finding, and endpoint monitoring keeps re-running the proof of each fixed finding to catch regressions.
• You can start small. The Basic plan is free, Pro starts at $40 a month, and the price of a code audit is shown before it runs.

Pricing

The Basic plan is free and includes the full SAST suite. Pro starts at $40 a month and includes the same number of credits, which pay for code audits, pentests and continuous work; the price of a code audit depends on the size of the codebase and is shown before you start.

Ideal for: Teams that want more than a pentest: engineering and security teams that need to find logic and access-control flaws in code and in the running application, and close the loop from finding to verified fix, without moving to an enterprise contract.

#2 XBOW

XBOW is an autonomous AI pentesting platform. Its agents attack running web applications and their APIs, prove each finding with a validated exploit and reproduction steps, and retest fixes for free once you deploy them. Source code, API specs and documents can be uploaded as optional context to guide testing.

XBOW is priced by usage through Attack Credits, quoted per environment, and is also sold through the AWS, Google, Oracle and Microsoft marketplaces.

Key features

• Autonomous pentests of web applications and their APIs
• Validated exploits with reproduction steps for each finding
• Free, unlimited retests of deployed fixes
• Optional source code, API specs and documents to guide testing
• An API that can start a pentest, for example on merge
• Self-hosted deployment through sales

Ideal for: Larger organisations that want autonomous pentesting of running web applications, bought on a quoted contract or through a cloud marketplace.

#3 Ethiack

Ethiack is an autonomous ethical hacking platform. Its AI agent, Hackian, continuously maps an organisation's attack surface, tests web apps, APIs and exposed services, and proves each confirmed finding with a non-destructive exploit. Human ethical hackers join for Expert pentests, and a Beacon agent extends testing to internal networks.

Pentest On-Demand starts at €3,000 per test with a pay-only-if-found guarantee, and the Core continuous plan lists at €12,000 a year for up to 50 assets.

Key features

• Continuous attack surface mapping and testing by Hackian
• Proof for each finding, with evidence and steps to reproduce
• One-off pentests combining AI and human testers
• Unlimited retesting on the Core plan
• Internal network testing through the Beacon agent
• Two-way Jira Cloud sync and a CI/CD step that tests the deployed URL

Ideal for: Teams that want continuous testing of their whole external attack surface, with human testers available for one-off pentests.

#4 Hacktron

Hacktron is an AI security platform with three products. Review checks each pull request for exploitable vulnerabilities, Whitebox runs AI pentests from source code with optional testing of the deployed app, and Red is continuous red teaming of a whole organisation. Researchers validate Whitebox and Red findings.

Whitebox is priced per pentest by lines of code, at about $500 per 100,000 lines, and Review Pro starts at $40 per developer a month.

Key features

• Pull request review for exploitable vulnerabilities, leaked secrets and IaC exposures
• Whitebox AI pentests from source code, with optional dynamic testing
• Red, continuous red teaming priced per organisation
• Proof for each Whitebox and Red finding
• Tested fix pull requests, paid in automation credits
• Two-way Jira and Linear sync

Ideal for: Teams that want AI pentests driven by source code with published per-pentest prices, and pull request review priced per developer.

#5 Horizon3.ai

Horizon3.ai's NodeZero is an autonomous pentesting platform. It attacks internal networks from a host inside your network, external attack surfaces, and AWS, Azure and Kubernetes environments, chaining weaknesses and proving each one. NodeZero WebApp, sold separately, crawls, logs into and attacks running web apps and their APIs.

NodeZero is priced per asset, from $15 per asset per test on Flex, and NodeZero WebApp Flex lists at $10,000 per app per test.

Key features

• Internal, external and cloud pentests that chain weaknesses into attack paths
• Proof and an attack path for each finding
• NodeZero WebApp for running web apps and their APIs
• Fix guidance and one-click retests
• Unlimited, scheduled testing on the Core, Pro and Elite plans
• Jira and ServiceNow integrations

Ideal for: Security teams that need to pentest internal networks and cloud environments at scale, with web application testing available as a separate product.

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The right choice depends on what you need your security tooling to catch and how your team works. When you compare options, check:

• Whether you need code and live testing. Pentests and code analysis find different problems. Decide whether you want both, and whether you can review code before it is deployed.
• What you need to test. Some tools focus on web applications, others on internal networks, cloud environments or your whole external attack surface.
• How findings are proven. Ask each vendor how findings are validated, and run a trial on your own application to see how many are real.
• How fixes get done. Look at whether the tool writes patches, guides your own coding agent, and verifies that a fix works before you deploy it.
• What it costs as you grow. Compare billing models: per developer, per asset, per line of code, per credit or by quote, and how many assessments your plan really covers each month.

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MindFort is a strong choice for autonomous pentesting, with exploit-backed findings, scheduled assessments and patch pull requests. When you want your code covered before it is deployed, AISafe Labs helps you go further: AI agents that audit your source code for logic and access-control flaws, pentests that prove them on your live application, free scanning for secrets and IaC, and fix verification that closes the loop.

You can start on the free Basic plan, which includes the full SAST suite, and run your first code audit in minutes. Start for free↗.