Autonomous security testing, run by AI agents and real hackers.
COGNAISEC puts trained AI agents on your attack surface and keeps experienced bug bounty hunters in the loop. Continuous recon, real exploitation, and reports your engineers can actually fix.
- Agent + human review
- Fixed-price scoping
- Retest included
$ cognaisec agents run --scope acme.io --mode bounty # spinning up 8 agents · recon → fuzz → verify [recon] 1,284 subdomains · 96 live hosts [surface] 412 endpoints · 37 auth-gated [fuzz] 18,902 cases · 0 false positives kept ✔ P1 broken object level authz /api/v2/orders/{id} ✔ P2 stored xss in webhook label field ! P3 verbose error leaks internal hostnames # human triage queue → 3 findings, all reproduced $ report --format pdf --deliver client
Faster Incident Response
AI should generally operate with human oversight for high impact actions
Continuous recon
Agents re-map your external surface daily and flag anything new before an attacker finds it.
Real exploitation
We do not ship scanner output. Every finding is validated with a working proof of concept.
Human verification
Experienced hunters review agent output so your team never chases a false positive.
Fast turnaround
Critical issues reach your inbox in minutes, not at the end of a two-week engagement.
Fits your stack
Findings land in Jira, Slack or your SIEM with the context your engineers need.
Audit-ready output
Executive summary plus technical detail, mapped to OWASP and your compliance obligations.
Five ways to work with us
Pick an agent, a hunter, or need a Cybersecurity Instructor
AI Agent Bug Bounty Hunting
Point an autonomous agent at your HackerOne, Bugcrowd or private program scope and let it hunt around the clock.
- Recon, asset discovery and scope mapping
- Continuous fuzzing and logic abuse testing
- Triaged, deduplicated, reproducible reports
AI Agent Security Automation
Hand repetitive security operations to agents: scanning, triage, evidence collection and ticket hygiene.
- Scheduled scan and retest pipelines
- Auto-triage with false-positive suppression
- Jira, Slack and SIEM integrations
Vibe-Coded App Security Testing
Shipped something fast with an LLM? We test the code paths AI assistants routinely get wrong.
- Auth, IDOR and tenancy boundary testing
- Secrets, prompt injection and SSRF review
- Fix-first report your devs can action
Human Hackers Train Your AI Agent
Real bug bounty hunters tune, prompt and evaluate your in-house agent against your own targets.
- Custom playbooks and tool wiring
- Benchmark suites and regression scoring
- Handover docs and team enablement
Cybersecurity AI - Blended Training
Instructor-led and agent-assisted training that takes your team from scanner output to real exploitation.
- Live labs with AI copilots
- Bug bounty and AppSec tracks
- Team dashboards and certificates
From scope to signed-off fix in four steps
Take the following action to contain and remove threats
- 01 · Scope call - we agree targets, rules of engagement and exclusions
- 02 · Agent deployment - recon and testing start the same day
- 03 · Human triage - hunters verify, dedupe and write the report
- 04 · Retest - we confirm your fixes and reissue the attestation
$ cognaisec pipeline status ✔ scope.lock signed 09:02 ✔ recon.sweep 1,284 assets ✔ agent.exploit 3 confirmed ● human.triage in review · report.deliver queued · retest.window +14d
Tooling built from our own engagements
Stay Tuned ! For Upcoming Projects
Coming Soon
Agent-driven attack surface monitoring for teams that ship weekly.
- Daily asset diffing
- Auto-retest on deploy
Coming Soon
API and business-logic fuzzing tuned by human hunters.
- Stateful API fuzzing
- Replayable PoCs
Why teams pick an agent-led model
Coverage humans cannot sustain
Agents test every endpoint on every deploy instead of once a quarter.
Hunters where it counts
Machines handle volume; people handle judgement, chaining and write-ups.
Priced per outcome
Fixed scope, fixed fee, retest included. No surprise change requests.
Built by bounty hunters
Our playbooks come from live programs, not from a vendor checklist.
What clients say
“They found an authorization bug our last two pen tests missed, then proved it end to end.”
“The agent reports landed in Jira already triaged. Our engineers stopped arguing with the security team.”
Frequently asked questions
A scanner matches signatures; our agents reason about the application, chain steps and validate impact before anything reaches a human.
Yes. Nothing is delivered until a hunter has reproduced it and written reproduction steps.
Yes, we operate under your program rules and submit through your platform of choice.
Scope drives price. Send your targets through the quote form and we will respond within one business day.
Always. Scope, exclusions and testing windows are agreed in writing before anything starts.
Ready to put an AI agent on your attack surface?
Tell us about your scope and we will come back with a fixed quote within one business day.