AI is a new attack surface
Prompt injection, insecure model integration, and shadow-AI endpoints sit outside the OWASP API Top 10 that conventional tools check — and outside most test plans.
Industries / SaaS & AI Products
SaaS products now embed LLMs, agents, and model-driven features — and that new capability is a new attack surface most testing never touches. From prompt injection to broken authorization across a fast-growing API estate, AI products need testing that understands both the software and the model.
Prompt injection, insecure model integration, and shadow-AI endpoints sit outside the OWASP API Top 10 that conventional tools check — and outside most test plans.
AI features multiply endpoints faster than coverage grows; authorization and business-logic flaws follow.
For an AI product, a leaked prompt or a manipulated model output is a trust failure customers feel immediately.
Authentication, authorization, injection, and business-logic abuse across a growing API surface.
AI endpoints treated as their own attack surface — prompt isolation and model-integration trust.
Automation that keeps pace with fast product cycles without rotting.
24/7 detection for products holding customer data in production.
Contract and integration testing so a fast-moving API doesn't break the customers and partners built on it.
Frameworks we test and report against here: SOC 2 · ISO 27001 · GDPR · OWASP
Proven here
Engagements shown by industry; client identities are kept confidential.
Full case studies from SaaS & AI Products clients — the work, the findings, and the outcomes, in depth.
API penetration testing
API VAPT of a SaaS product with AI features: prompt injection in an AI rewrite endpoint, unrestricted file upload, and a null-byte double-extension bypass — all remediated and verified clean on retest.
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Web application VAPT
VAPT case study: public S3 bucket, JWT none-algorithm authentication bypass, RBAC gaps, and unrestricted file upload — found, demonstrated, and fixed.
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