A hardened network won't save broken code.

Hands-on testing of your application the way an attacker would approach it, including the business-logic flaws no scanner will ever find.

• OWASP Top 10 coverage: injection, broken access control, misconfiguration, and the rest
• Authentication and session handling: bypass, fixation, token and password reset flaws
• Authorization testing between roles and between tenants, including IDOR
• Business-logic abuse: pricing, ordering, workflow skipping, and race conditions
• Reproducible findings with evidence, rated by real risk to your business

APIs carry the data and often get a fraction of the scrutiny the UI gets. Tested directly, against the OWASP API Security Top 10.

• Broken object-level and function-level authorization, the most common real-world API flaw
• Broken authentication, token handling, and key management
• Mass assignment and excessive data exposure in responses
• Rate limiting, resource consumption, and abuse resistance
• REST and GraphQL, including introspection and query-depth abuse

An engineer reads the code. Automated analysis runs alongside for coverage, but the review is human, because the expensive flaws are design flaws.

• Authentication and authorization logic, where most critical findings live
• Injection paths, unsafe deserialization, and input handling
• Secrets in code, config, and history
• Cryptography use: algorithms, key handling, and randomness
• SAST tuned to your stack so the results are signal, not a 4,000-line backlog

Testing once tells you where you stand today. Building security into the pipeline is what keeps it from drifting back.

• Threat modeling and secure design review before the code gets written
• SAST, DAST, dependency, and secret scanning wired into CI/CD
• Rules tuned and gates enforced, so the build fails on what matters and only that
• Developer guidance and secure coding standards your team will actually follow
• Remediation tracking through to closure

The code you didn't write is still code you ship. Mobile clients and third-party dependencies get the same treatment.

• iOS and Android testing: insecure storage, weak transport, hardcoded secrets
• Mobile backend and API exposure, which is usually where the real risk sits
• Software composition analysis and SBOM generation
• Vulnerable, abandoned, and typosquatted dependency review
• Build-pipeline integrity and artifact signing

If you've shipped AI features, you've added an attack surface most teams have never tested. We test it against the OWASP Top 10 for LLM applications.

• Prompt injection, direct and indirect, including through documents and retrieved content
• Data leakage: what the model can reach, and what it will reveal when asked well
• Over-scoped tool and plugin access, the AI equivalent of excessive privilege
• Tenant isolation and access control for AI features
• Model and supply-chain risk, including third-party model and plugin providers

Pairs with our AI services, where the same guardrails get designed in from the start.