Built to cover every surface.

Auth flows, session handling, access control, and business logic across your web app and the services behind it. Cipher traces the multi-step exploits that single-endpoint scanners miss.

REST, GraphQL, and internal service APIs. Broken object-level authorization, tenant isolation, and token handling, reasoned across every service a request actually touches.

Terraform, IAM policy, and cloud configuration read together with the code that depends on them, so a misconfiguration is judged by what it actually exposes.

Complete clusters reviewed as one system: workloads, RBAC, operators, admission and network policy, and the tenant boundaries between namespaces, traced to what a compromised pod can actually reach.

Active Directory, Entra ID, and the SSO and OAuth flows in front of them: trust, delegation, and Kerberos paths traced the way an attacker escalates, from one weak account to the domain.

AI and LLM-powered features: prompt injection, tool and agent abuse, insecure model and data supply chains, and the new trust boundaries they introduce.

Internal and external network surfaces, host and service exposure, and the segmentation that decides how far an attacker moves once inside.

Original research into the widely deployed open-source and embedded software your stack inherits: real-time operating systems, media and protocol stacks, and data-layer components. Novel findings, reported and fixed upstream.

Credential and secret exposure across code, CI/CD, and runtime, traced to what the leaked material actually unlocks.

Android clients and their backends: insecure storage, weak certificate handling, exported components, and the trust assumptions between app and server.

Operational-technology and industrial control surfaces, where protocol and segmentation assumptions carry physical consequences.

Native and systems code. Memory-corruption classes reasoned through to exploitability, not just flagged as warnings.