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GANASEC tests AI applications, LLM workflows, copilots, agents, RAG systems, and AI-enabled product features for the ways attackers can manipulate prompts, tools, data, identity, and downstream actions. The goal is to prove what can leak, what can be bypassed, and what can be abused before customers or regulators find it.
AI risk is rarely only about the model. It usually lives in the surrounding application: prompts, retrieval sources, tool permissions, plugins, APIs, user roles, logs, data boundaries, and automated actions. We validate prompt injection, indirect prompt injection, sensitive data exposure, authorization bypass, tool abuse, unsafe agent behavior, RAG poisoning, jailbreak resistance, and monitoring gaps with practical evidence and remediation guidance.
GANASEC keeps the process easy for international clients: clear scoping, remote execution, procurement-friendly documentation, and remediation support that engineering teams can use immediately.
Confirm assets, accounts, rules of engagement, timelines, and business-critical workflows.
Run controlled manual testing with tooling support, evidence capture, and risk validation.
Deliver executive summary, technical findings, reproduction steps, and prioritized remediation.
Validate fixes and provide closure notes suitable for audit, customer assurance, and internal risk tracking.
GANASEC web application penetration testing identifies authentication, authorization, business logic, injection, session, and access-control vulnerabilities with exploit proof and remediation guidance.
API SECURITYAPI Penetration TestingGANASEC API penetration testing covers REST, GraphQL, mobile-backend, and internal APIs with focus on authorization, JWT, OAuth, rate limits, data exposure, and abuse paths.
CLOUD SECURITYCloud Security AssessmentGANASEC cloud security assessments review AWS, Azure, and GCP identity, storage, network exposure, Kubernetes, secrets, logging, and privilege escalation paths.
MOBILE PENTESTMobile Application Penetration TestingGANASEC mobile application penetration testing covers iOS and Android apps, local storage, API traffic, authentication, reverse engineering, jailbreak/root bypasses, and mobile backend abuse.
GANASEC tests AI applications, LLM chatbots, copilots, agents, RAG systems, AI APIs, internal automation, and AI-enabled SaaS features.
Yes. We test direct prompt injection, indirect prompt injection, jailbreaks, tool abuse, retrieval exposure, and business workflow abuse around the AI system.
Yes. The report explains AI-specific risks, evidence, remediation, and control improvements in a format useful for engineering, leadership, customer assurance, and audit conversations.