Hackerai
AI-powered penetration testing assistant to find and fix vulnerabilities through conversation
HackerAI's conversational interface is a genuine time-saver for developers who want quick, guided security fixes without becoming pentest experts. It's great for shift-left security in small teams, but power users will hit limits on complex manual exploit chains and network-level testing. If that's your need, look elsewhere.
Verified 5d ago · liveness 65/100 · cite: rightaichoice.com/tools/hackerai
- Small to medium development teams wanting shift-left security
- Solo developers needing quick vulnerability checks
- DevOps engineers integrating security into CI/CD
- Security novices looking for guided remediation
- Large enterprise compliance auditing
- Advanced pentesting with manual exploit chains
- Real-time network or infrastructure scanning
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- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Hackerai if you need real-time network or infrastructure scanning, manual exploit chaining, or on-premise air-gapped solutions—Hackerai focuses on code-level scans and doesn't cover those areas.
The free tier only allows limited scans per month, so if you exceed that you'll need to upgrade to Pro. Exact limits aren't published.
Hackerai's pricing fits small to medium dev teams that want shift-left security without a dedicated pentester. At $29/mo for Pro, it's cheaper than hiring a security engineer, and the Team tier at $99/mo is reasonable for collaborative teams. Compared to full pentest services that charge thousands per engagement, Hackerai is a cost-effective baseline. However, if you only need occasional scans, you might find cheaper point-in-time tools, but they won't offer the conversational remediation.
In short
Hackerai — AI-powered penetration testing assistant to find and fix vulnerabilities through conversation. Best for Small to medium development teams wanting shift-left security, Solo developers needing quick vulnerability checks, DevOps engineers integrating security into CI/CD. Free to start; paid plans from $29/mo.
Viability Score
How well maintained and how widely used is Hackerai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI-powered vulnerability scanning
- Conversational remediation guidance
- Support for Python, JavaScript, Go, and more
- GitHub, GitLab, Bitbucket integration
- Real-time security feedback during development
- Custom rule creation
- Automated dependency scanning
- Secret detection (API keys, tokens)
- OWASP Top 10 coverage
- Exportable reports
- Team collaboration workspaces
- CI/CD pipeline integration: Jenkins, CircleCI, GitHub Actions, GitLab CI
- Slack and Jira integration
- VS Code integration
- API access (Enterprise)
About Hackerai
HackerAI is an AI-powered penetration testing assistant that helps developers and security professionals find and fix vulnerabilities through a conversational interface. Instead of wrestling with complex security tools, you ask questions about your code, configurations, or dependencies, and the AI scans for issues, explains them in plain language, and guides you through remediation step by step. It supports multiple programming languages including Python, JavaScript, and Go, and integrates with GitHub, GitLab, Bitbucket, Slack, Jira, VS Code, and CI/CD pipelines like Jenkins, CircleCI, GitHub Actions, and GitLab CI. This makes it a natural fit for development teams looking to shift security left without hiring a dedicated security specialist.\n\nThe platform scans source code, configurations, and dependencies for security issues, including OWASP Top 10 vulnerabilities, secrets like API keys and tokens, and known vulnerable dependencies. Real-time security feedback during development alerts you to risks as you code, and custom rules let you tailor scans to your specific stack and policies. When a finding appears, you don't need to decipher a dense report—you can have a conversation about it, ask for examples of exploits, or request a fix. Exportable reports help you document issues and track remediation progress.\n\nHackerAI also supports team collaboration through shared workspaces, so multiple developers can work on the same project's security issues together. A key advantage: it lowers the barrier to entry for security novices, but it still offers depth for experienced testers through custom rules and API access. For teams already using GitHub or GitLab, the integration means scans run automatically on pull requests, and you can escalate issues directly to Jira or Slack, keeping security workflows inside your existing tools.\n\nCompared to traditional penetration testing tools that require expert knowledge, HackerAI's conversational approach is unique. It positions
Behind the Verdict
HackerAI stands out by letting you talk to your security scanner. Instead of parsing dense reports, you ask questions like 'Why is this a SQL injection risk?' and the AI explains it in plain language, even offering exploit examples and a fix. That's a real workflow win for developers who know code but not security.\n\nThe strength is in the integration ecosystem: GitHub, GitLab, Bitbucket, Slack, Jira, VS Code, and CI/CD pipelines. For a team already on GitHub, scans can run automatically on pull requests, and you can file issues directly to Jira or alert the team in Slack. That's shift-left security without leaving your existing tools.\n\nThe weaknesses are equally clear. This is an AI scanner, so expect false positives and negatives. It scans code and configurations, not live networks or infrastructure, so it won't replace a real pentest. Also, the free tier is limited, and advanced features like custom rules and API access are locked to Enterprise. If you need to chain exploits manually or test a running network, you'll need a dedicated tool like Burp Suite.\n\nWhere it fits: small to medium dev teams that want to catch vulnerabilities before they hit production, and solo developers who want quick checks without a security degree. Where it doesn't: large enterprises needing compliance-level auditing, or teams requiring on-prem air-gapped scanning.\n\nOverall, if your pain is 'developers write insecure code and don't know how to fix it,' HackerAI is a solid middle ground between no security and a full pentest team. Just keep your expectations realistic—it's an assistant, not a replacement for expert testing.
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Real-world workflow fit
Concrete scenarios for the personas Hackerai actually fits — and what changes day-one when you adopt it.
You're building a web app and want to check for common vulnerabilities before deploying. You connect your GitHub repo and ask Hackerai to scan for SQL injection.
Outcome: Within minutes, you get a list of issues with plain-English explanations and suggested fixes. You fix the critical ones and export a report for your README.
You set up Hackerai in your CI/CD pipeline (GitHub Actions) so that every pull request triggers a vulnerability scan. The AI comments on the PR with findings and remediation steps.
Outcome: Developers fix issues before merge, and you catch secrets accidentally committed. You track progress via Jira integration.
You create a shared workspace for your team and invite developers. You customize rules to enforce your organization's password policy and secret naming conventions.
Outcome: Everyone sees the same findings and can comment or ask the AI for exploit examples. The team's security posture improves without hiring a pentester.
Use Cases
- Scan a Python Django app for SQL injection vulnerabilities via chat
- Integrate Hackerai into your CI/CD pipeline to catch issues before merge
- Ask the AI to explain a Cross-Site Scripting finding in plain English
- Generate a security report for an audit by exporting scan results
- Enable team members to collaboratively review vulnerabilities in a shared workspace
- Detect exposed API keys and secrets in your codebase automatically
- Create custom rules to enforce organization-specific security policies
Limitations
- The site does not provide details on specific limitations, but as an AI-assisted scanner it likely has false positives/negatives and may not cover all vulnerability types.
- The free tier has limited scans per month.
- Advanced exploits require manual expertise.
as of 2026-08-19
Verification history
We have re-verified Hackerai 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Hackerai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers or hobbyists who want to try Hackerai on a side project with limited scans per month.
What this tier adds
Starting tier: limited scans per month, core vulnerability scanning, conversational remediation, but no priority support.
Pro
$29/mo
Ideal for
Independent developers and small startups that need regular scans and GitHub/GitLab integrations for daily use.
What this tier adds
Adds increased scan limits, priority support, and GitHub and GitLab integrations compared to Free.
Team
$99/mo
Ideal for
Small to medium development teams that need shared workspaces and collaborative vulnerability review.
What this tier adds
Adds shared workspaces, team collaboration, advanced integrations, and centralized management compared to Pro.
Enterprise
Custom
Ideal for
Larger organizations that need custom policies, API access, and SSO for security and compliance.
What this tier adds
Adds custom rules, API access, SSO, and dedicated support compared to Team.
Where the pricing makes sense
The company stage and team size where Hackerai's pricing actually pencils out — and where peers do it cheaper.
Hackerai's pricing fits small to medium dev teams that want shift-left security without a dedicated pentester. At $29/mo for Pro, it's cheaper than hiring a security engineer, and the Team tier at $99/mo is reasonable for collaborative teams. Compared to full pentest services that charge thousands per engagement, Hackerai is a cost-effective baseline. However, if you only need occasional scans, you might find cheaper point-in-time tools, but they won't offer the conversational remediation.
Setup time & first value
How long it actually takes to get something useful out of Hackerai — broken out by persona, not the marketing-page minute.
For a solo developer, you can sign up, connect your GitHub repo, and run your first scan within 10 minutes. For DevOps engineers, integrating Hackerai into CI/CD via GitHub Actions takes about 30 minutes, including testing the pipeline. Teams setting up shared workspaces and custom rules should budget 1-2 hours to configure everything properly.
Switching to or from Hackerai
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Burp Suite (manual testing): Start by running Hackerai scans to get baseline findings, then use its conversational guidance to understand and fix issues you previously handled manually.
- ↗To a full pentest service: Export your scan reports and use them to scope a professional engagement, or feed them to a specialized static analysis tool like Semgrep for deeper coverage.
Integrations
Resources & Guides
- Documentationhackerai.co
Docs · Hackerai
Full product docs from hackerai.co
- Guidehackerai.co
Guides · Hackerai
In-depth how-to from hackerai.co
- Tutorialhackerai.co
Tutorials · Hackerai
Step-by-step walkthrough from hackerai.co
- Resourcehackerai.co
Help · Hackerai
Helpful link from hackerai.co
- Resourcehackerai.co
Support · Hackerai
Helpful link from hackerai.co
- Resourcehackerai.co
Academy · Hackerai
Helpful link from hackerai.co
- Resourcehackerai.co
University · Hackerai
Helpful link from hackerai.co
- Learnhackerai.co
Learn · Hackerai
Educational content from hackerai.co
- Resourcehackerai.co
Resources · Hackerai
Helpful link from hackerai.co
- Resourcehackerai.co
Developers · Hackerai
Helpful link from hackerai.co
Tutorials & Learning
Official links
Tools that pair well with Hackerai
Common stack mates teams adopt alongside Hackerai, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Hackerai vs Audioeye
If your priority is ADA/WCAG compliance with legal backing, AudioEye's combination of automated scanning, overlays, and human audits is purpose-built. For developers who want to chat their way through security vulnerabilities in code, Hackerai offers a novel freemium approach. Choose based on domain: accessibility vs. security – they solve very different problems.
Hackerai vs Sublime Security
Choose Hackerai if you need to find and fix code vulnerabilities via a simple chat interface, especially as a solo developer or small team. Choose Sublime Security if you're a mid-to-large enterprise combatting advanced email threats (BEC, phishing) and need custom detection with low false positives. They serve completely different security domains.
Hackerai vs Push Security
Choose Push Security if your primary threat is browser-based attacks (AiTM phishing, session hijacking) and unmanaged AI tool usage by employees. Choose Hackerai if your need is code-level vulnerability scanning with conversational remediation for developers. They address entirely different attack surfaces and are complementary, not competitive.
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