Our approach
AI-native speed. Hacker-grade accuracy.
Our methodology pairs agentic AI and automation with established standards (OWASP, PTES, NIST, MITRE) and the creativity of researchers who find vulnerabilities in real-world bug bounty programs.
Engagement lifecycle
Five steps, no surprises
- 01
Scope
A free call to understand your system, risks and deadlines. You get a fixed quote and timeline.
- 02
Test
AI agents and automation for coverage, expert researchers for depth. Critical issues are reported the same day.
- 03
Report
Clear findings with proof-of-concept, business impact and exact fix steps, plus an executive summary.
- 04
Fix
A debrief with your developers. We stay available to answer questions while you remediate.
- 05
Retest
We verify every fix and issue an updated report you can share with customers and auditors.
Our testing engine
Agentic AI + automation + expert hackers.
Every engagement runs through the same hybrid pipeline. AI agents and automated tooling do the heavy lifting at machine speed. Our researchers validate, chain and go deeper.
- 1AIAuto
Recon & mapping
AI agents map your attack surface: endpoints, roles, parameters, JS bundles, APIs and cloud assets.
- 2Auto
Automated coverage
SAST, DAST, SCA, fuzzing and known-vulnerability checks run at scale across everything in scope.
- 3AI
Agentic exploration
LLM-driven agents form attack hypotheses, probe authorisation across roles and explore business flows.
- 4AI
AI triage
Findings are de-duplicated, false positives filtered and risk ranked against your context.
- 5Expert
Expert validation
Our researchers confirm exploitability, chain bugs together and hunt the logic flaws no tool can reason about.
- 6AIExpert
Report & fix
AI-drafted, expert-reviewed reports with proof-of-concept and code-level fixes, then retest.
Faster
AI and automation handle the repetitive work, so first findings arrive in days, not weeks.
Broader
Agents cover every endpoint, role and parameter, not just what fits in a tester's hours.
More accurate
AI triage plus human validation means every reported issue is real and reproducible.
Deeper
Experts spend their time on chained exploits and business logic, where the critical bugs hide.
The difference
Why hybrid beats scanners and manual-only testing
Scanners are fast but shallow. Traditional manual testing is deep but slow and limited by hours. We get the best of both.
| Capability | Scanner-only | Manual-only | Mighty: AI + Expert |
|---|---|---|---|
| Speed to first findings | |||
| Full coverage of large attack surfaces | |||
| Business-logic & authorisation flaws | |||
| Chained, multi-step exploits | |||
| False positives removed | |||
| Proof-of-concept for every finding | |||
| Affordable retesting on every release |
Principles
How we work
Think like an attacker
Compliance checklists tell you what auditors want. Attackers don't read checklists. We start from "how would I break this?" and work backwards.
Impact over volume
A report with 4 real issues beats one with 140 informational findings. We prioritise by what an attacker could actually do to your business.
Fix, don't just find
Every finding comes with root cause and a concrete fix. We stay with your team until it's resolved and verified.
Communicate early
Critical issues don't wait for the final report. You hear about them as soon as we confirm them.
Confidential by default
NDA before kickoff, least-privilege test accounts, encrypted report delivery, and test data deleted at the end of the engagement.
AI-augmented, never AI-only
AI accelerates every stage, but a human expert signs off on every finding. Nothing reaches your report unverified.
Stay current
Our team does active research and bug bounty hunting, so our techniques and AI tooling keep pace with real attackers.
Find your vulnerabilities before attackers do.
Tell us what you're building. In a free 30-minute scoping call we'll map your risks and recommend the right engagement, whether you need a pentest, a threat model or an AI security review.