Services

Pentesting services built around real attack paths, remediation clarity, and buyer trust

Each service page explains what is covered, how we test, what clients receive, and where the assessment fits into launch, compliance, or enterprise onboarding work.

Web Security Testing

Web Application Pentest

Manual web application testing for modern customer-facing products, portals, and internal systems where workflow abuse and access control matter as much as classic OWASP issues.

Manual exploitation and workflow review
Reporting for engineers and leadership
Retesting support after fixes

API Security Testing

API Security Testing

API testing focused on the real issues that break trust in modern SaaS platforms: authorization failures, token misuse, excessive data exposure, and hidden administrative capability.

BOLA and privilege-escalation focus
Partner and internal API coverage
Reproducible evidence with remediation notes

Network Penetration Testing

Network Penetration Testing

Internal and external network testing focused on reachable paths to meaningful compromise, not just long lists of open ports and version findings.

Internal and external coverage
Lateral movement validation
Actionable remediation for infra owners

Cloud Security Assessment

Cloud Security Assessment

Cloud assessments built around the mistakes that lead to data exposure, privilege abuse, and weak isolation, not just configuration checklists.

IAM and trust-boundary focus
Storage and secret exposure review
Findings mapped to business risk and remediation

Mobile Application Testing

Mobile Application Testing

Mobile testing for applications where client trust assumptions, insecure local behavior, and mobile-to-API interactions create business and account risk.

Client and API trust-model review
Local storage and auth handling analysis
Findings tied to account and data risk

Thick Client Testing

Thick Client Security Testing

Security testing for desktop and rich-client applications where local logic, protocol handling, and binary behavior create risks traditional web testing does not cover.

Binary and protocol-level review
Client-to-server trust validation
Remediation guidance for desktop teams

AI and LLM Security Testing

AI and LLM Security Testing

Security testing for AI-enabled workflows where prompts, tools, memory, and orchestration create new abuse paths that scanner-only reviews will miss.

Prompt injection and tool-abuse focus
System and workflow view, not only model behavior
Findings that map to engineering controls