We built 27+ years of offensive security expertise into AI agents that test your apps, pipelines and infrastructure around the clock. A human expert validates every result before it reaches your team.
Agent machine time
Expert review human judgment
You know the trade-offs. Here's what changes when the testing runs at machine speed and the judgment stays human.
ManualExpert teams command premium rates, and much of that time goes to repetitive testing.
SecureWaysAgents do the repetitive work. Expert time goes to validation and creative exploitation.
ManualWeeks to months per engagement. The report lands after the code has moved on.
SecureWaysDays instead of weeks, with testing that keeps running as you ship.
ManualYou can't test every app or every release, so most of the estate goes untested.
SecureWaysAgents scale across all your apps, not just the few that fit the budget.
ManualQuality depends on each tester's expertise and how tired they are that week.
SecureWaysEvery finding is validated by an expert. Quality over volume.
Three parts, one cycle. Machine speed finds it, human judgment proves it, and context makes the next test sharper.
24/7 automated recon, exploitation and testing at machine speed.
CAND-1187 · 03:14 UTCFlagged
Response differs when account_id is changed on /invoices/:id/pdf.
One of 42 candidates from overnight testing.
Expert validation, creative exploitation, context-aware reporting.
SW-F-0042Critical
Confirmed by an expert, then chained with sequential IDs to enumerate the full archive.
Validatedexpert reviewContinuous feedback from your environment, so every pass improves.
ContextLearned
The pattern goes back to the agents for every route on it:
test: ownership(account_id)
scope: billing-svc/*Next pass: every billing route is tested for ownership first.
Illustrative example, not a client finding
From the running app to the pipeline that ships it, and the AI services you're rolling out next.
Runtime testing
Continuous vulnerability detection inside your running application, driven by agentic AI.
Credential discovery
AI-powered discovery of exposed credentials across code, pipelines and infrastructure, with remediation you can act on.
CI/CD, DevOps & IaC
We attack your delivery pipeline the way an adversary would, and find critical vulnerabilities in CI/CD, DevOps tooling and infrastructure as code.
Secure AI rollout
Roll out AI services securely and iteratively, from internal tools to customer-facing products.
Each service attaches where its risk lives, from secrets committed in code to an AI service answering customers in production.
Since February 2026 we've tested code, pipelines, infrastructure and firmware for media, healthcare, non-profit and security clients.
17critical defects found and fixed
Internal, partially exposed, customer-exposed: why AI risk changes with exposure, and the controls and tests each stage needs before you widen access.
Build logs, cached layers, forgotten workflows. Where credentials really leak in delivery pipelines, and how to close each gap for good.
Annual pentests were built for annual releases. Teams that ship weekly need testing that keeps pace, with experts kept in the loop.
Human expertise.AI speed.Enterprise quality.