Pipeline attack paths
Assess source control, build runners, secrets, artifacts, release approvals, deployment paths, and third-party automation.
Agentic automation guardrails
Review AI-enabled workflow permissions, approval gates, prompt/data exposure, and blast radius in automated delivery systems.
Cloud and workload security
Harden identity, network exposure, Kubernetes, serverless, IaC, logging, and workload configuration across AWS, GCP, and Azure.
Remediation plan
Prioritize fixes by exploitability, business risk, and operational impact so teams can reduce risk without slowing delivery.
Cloud and CI/CD security details
This assessment focuses on the paths attackers use to turn cloud identity, pipeline permissions, secrets, runners, and automation into production impact.
Best fit
Teams operating AWS, Azure, GCP, Kubernetes, infrastructure as code, CI/CD runners, deployment automation, or AI-enabled delivery workflows.
What we assess
Identity, secrets, source control, build runners, artifacts, release approvals, IaC, Kubernetes, logging, and automation blast radius.
Deliverables
Attack-path map, misconfiguration evidence, prioritized hardening plan, least-privilege recommendations, and guardrails for automated delivery.
Do you review AI-enabled automation?
Yes. The assessment covers permissions, approval gates, prompt and data exposure, and safe rollout controls for agentic workflows.
Which cloud platforms are supported?
Assessments can cover AWS, Azure, GCP, Kubernetes, serverless, and hybrid cloud environments.
