A red team answers 'could someone get in?'. A penetration test answers 'is this particular thing sound?'. Both matter, and confusing them wastes money - so we will tell you plainly which one your situation calls for.
Every test is driven by hand. Automated scanners run too, because they are good at breadth, but they find only what someone already thought to look for. The findings that matter - broken authorization, logic that can be bent, chains that are individually harmless and collectively fatal - come from a person who understands what your application is for.
You get access to findings as we confirm them, not in a document weeks later. If we find something critical on the first morning, you hear about it that morning.
Every finding arrives with reproduction steps, the actual request and response, a plain explanation of the business impact, and a fix that fits your stack. When you have fixed it, we retest at no extra cost - a finding is not closed because you say so, it is closed because we could not do it again.
Not every test is against software. Wireless, social engineering and physical assessments follow the same rules: an agreed scope, written authorization before we start, and findings backed by evidence. Where people are involved, we report on processes and teams, never on named individuals.
Mapping a target - every endpoint, parameter and response - is the slow part of a test, and AI does it on our own hardware. That buys our testers more time on the logic and authorization flaws worth finding. Every one is exploited by hand before it reaches your report.
Authentication, authorization, business logic and everything the framework did not protect you from.
REST, GraphQL and gRPC, including the endpoints that never made it into the documentation.
Your internet-facing estate, assessed as an outsider with no credentials and no map.
Assumed-breach testing from inside: what one compromised laptop is worth in your environment.
Office and site Wi-Fi: how far it reaches, whether guests are really kept apart from staff, and what a device in the car park could join.
AWS, Azure and GCP tenancy, IAM, network policy and the defaults nobody revisited after go-live.
iOS and Android binaries, local storage, certificate pinning and the backends they talk to.
Cluster RBAC, workload isolation, admission control and escape paths out of a container.
Targeted manual review of the code behind the parts that would hurt most if they failed.
Phishing, phone and impersonation tests against agreed groups, measuring how your people and processes respond - never to single anyone out.
Whether someone who should not be there can reach your offices, server rooms or sites - doors, badges and reception - tested within agreed boundaries.
Full-scope adversary emulation
We pick an objective that would genuinely hurt. The payment run, the source repository, the production database. Then we go after it the way a funded intruder would.
Read more about Red Team OperationsAttack and defence, side by side
The fastest way to turn a detection gap into a working alert - measured, repeatable, and proven before we leave.
Read more about Purple Team ExercisesDefensive review and architecture
Design-stage security advice from an attacker's perspective, before a weakness becomes something we could exploit.
Read more about Blue Team ServicesOpen-source intelligence
The reconnaissance phase of a real attack, delivered as a report - your organization as your adversary already sees it.
Read more about Digital ProfileCredential exposure intelligence
Our dedicated credential exposure platform. Find out which of your accounts are already exposed, which passwords are reused, and which of your people are the obvious next target.
Read more about Leaked.DomainsApplication security
Powered by CodeSightAI, our own review engine. It catches the logic and authorization flaws that signature-based scanners walk straight past.
Read more about AI-Led Code Review