Breaches rarely require exotic attacks. More often it's an unpatched dependency, a secret committed to a repo, an overly permissive IAM role, or a storage bucket left public. These gaps come back every sprint, because new code, new services and new cloud accounts appear faster than anyone can review them by hand.

We audit your code, cloud accounts and CI pipelines, then remediate by risk, starting with what an attacker could reach today. Dependency, secret and infrastructure-as-code scanning runs on every pull request, so new issues are caught before merge instead of in production. You get a ranked findings report, fixes merged into your repos, and dashboards that show open risk going down over time.

Prevention eventually fails, so what matters is how far an attacker gets. Long-lived keys, shared admin accounts and internal tools reachable from anywhere turn one stolen credential into access to everything. Most teams can't say who can reach production data today, or how quickly they would notice someone who shouldn't.

We run intrusion detection on your cloud workloads, move secrets into a managed vault with rotation, and put zero-trust access in front of internal tools. Across your APIs and services we enforce least privilege, scoping every role to what it actually uses. Alerts reach the people on call, and access logs show who touched what, so one leaked credential doesn't become a full breach.

Security teams drown in alerts. Most are noise, a few matter, and the ones that matter wait in the same queue. Generic AI tools make this worse when they guess: a model that confidently closes a real incident or blocks a production service by mistake is a liability, not an analyst.

We build triage and phishing-analysis agents grounded in your logs, asset inventory and runbooks. They gather context, explain their reasoning with links to the evidence, and draft the next step. Nothing is blocked, quarantined or closed without human approval. Every agent ships with evaluations against your past incidents, so you know its accuracy before it touches a live queue, and audit logs record every decision.