Find it before
they do.

A structured attempt to break in. We pick the same paths a real attacker would: exposed endpoints, weak auth, leaked secrets, misconfigured cloud. You get a report ranked by exploitability and business impact, plus working proofs-of-concept for every finding above informational.

Less surgical than a pentest, much broader. Authenticated and unauthenticated scanning across your infrastructure, applications, and cloud workloads. We tune scanners to your stack, triage findings by hand to cut the false positives, and tell you what to fix first.

Most companies have a backup. Almost none have ever restored from it under pressure. We define your RTO and RPO targets, design backup and failover architecture against those targets, write the runbooks, and then run tabletop exercises with the team that would actually push the buttons at 02:00.

A pentest tests whether you can be broken into. An APT simulation tests whether anyone would notice. We emulate the playbooks of real adversary groups (initial access, persistence, lateral movement, exfiltration), live alongside your environment for weeks, and report on what your detection and response actually caught versus what walked past untouched.

If your app was built mostly by an LLM, in a weekend, or by someone who "didn't think about auth yet," this is for you. We do a full whitebox review of the codebase, the deployed environment, and the AI-specific failure modes: prompt injection, secrets in prompts, agentic action sprawl, unscoped tool use. We don't just tell you what's wrong, we fix it.