Human expertise.AI precision.
Penetration testing for web applications and APIs. AI-assisted tooling widens coverage. A researcher reproduces every finding before it reaches your report.
- GET /api/v1/invoices/4821 HTTP/1.1
Invoice 4821 belongs to a different customer account than our test user.
- Host: app.example.com
- Authorization: Bearer [redacted]
- HTTP/1.1 200 OK
The API returns it anyway. Reproduced with two separate test accounts.
- Content-Type: application/json
- { "invoice": 4821, "account": "acct_7f3e", "total": 18400 }
Our lead researcher has found vulnerabilities at
- Starbucks
- CrowdStrike
- ServiceNow
- Yelp
- Evernote
- Coursera
- Automattic
- Airtable
Through public bug bounty programs on HackerOne. See his profile
Who we work with
- B2B SaaS teams
- Preparing for enterprise deals, security questionnaires, a major release or a first external assessment.
- Software agencies
- Independent web and API testing for client projects before handover, delivered on a referral or white-label basis.
- AI-native products
- Application and API security for products built on models, agents and third-party tools.
What we test
Every engagement starts with written authorization and an agreed scope, and ends with a fixed-price proposal you can plan around.
Web & API Penetration Testing
A scoped assessment of web applications and APIs you own or are authorized to test, led and validated by a human researcher.
Continuous Security Testing
Scheduled reassessments as your application changes, with updated findings, retests and regular review calls.
AI & LLM Application Assessments
Available by scoping
For products that use models and agents. We look at prompt injection, sensitive-data exposure, agent permissions and tool misuse, alongside conventional application risks.
Who tests your application
Every engagement is led by a working bug bounty researcher, not handed to a scanner.
Rishi, our lead researcher, has hunted on HackerOne since 2023 and scopes, tests and validates every engagement himself.
- vulnerabilities credited
- 46
- vulnerabilities credited
- thanks from programs
- 54
- thanks from programs
- HackerOne reputation
- 223
- HackerOne reputation
From his public HackerOne profile, October 2026.
Meet the teamAI for speed. People for judgment.
Raw tool output is noisy. Here is how the work is divided on every engagement.
Where validated, tooling helps us
- Map endpoints, parameters and roles faster
- Suggest test cases worth a closer look
- Group duplicate signals so nothing is reported twice
- Draft evidence notes for a researcher to check
A researcher decides
- What is in scope and safe to test
- Whether a finding is real and reproducible
- How severe it is for your business
- What goes in your report, and how to fix it
From first call to retest
The short version. The full engagement has eight steps.
- 1
Discovery
We learn about your applications, business need, timing, reporting expectations and procurement process.
- 2
Contract & authorization
Signed SOW, NDA where appropriate, written authorization and rules of engagement. No testing starts without them.
- 3
Assessment
Manual testing, supported by AI-assisted tooling only where it has been validated and authorized.
- 4
Readout & retest
We walk your team through the results, retest agreed fixes and update finding status.
Tell us what you’re shipping next.
We’ll reply with scoping questions and, once scope is agreed, a fixed-price proposal.