Security Gap Assessment for AI Systems

A security gap assessment identifies the difference between your current security posture and the protections your systems need. It maps assets, data flows, attack surfaces, vulnerabilities, and control weaknesses, then prioritizes gaps by likely impact. For AI products, this includes risks in LLMs, RAG pipelines, autonomous agents, APIs, and the cloud infrastructure that supports them. The result is a practical remediation roadmap.

A practical five-step security risk assessment is: identify assets and data, identify threats and vulnerabilities, analyze likelihood and business impact, prioritize risks against agreed criteria, and implement then monitor treatments. Vynox Security applies this structure through attack-surface mapping, manual validation of exploitable paths, severity-based reporting, developer-ready remediation, and retesting after fixes are deployed to staging.

Coverage is scoped to the systems most relevant to your risk. Vynox can assess LLM applications, RAG retrieval paths, autonomous agents, APIs, web and mobile applications, source code, cloud configurations, and networks. Testing can examine prompt injection, data exposure, access-control weaknesses, insecure configurations, secrets handling, and exploit chains. The final scope is defined during the discovery call.

Traditional penetration tests often focus on application and infrastructure vulnerabilities. An AI security assessment also examines attacks unique to AI systems, including direct and indirect prompt injection, jailbreaks, system prompt extraction, cross-tenant RAG retrieval, vector database poisoning, agent tool-call hijacking, and model inversion. Vynox tests both the AI layer and its supporting infrastructure to provide broader security coverage.

Timing depends on the systems in scope and the depth of assurance required. Vynox typically delivers cloud or API testing in 3–5 business days, web and mobile testing in 5–10 business days, and broader AI or infrastructure engagements in 5–15 business days. AI red teaming is more extensive and typically takes 3–5 weeks. Discovery scoping clarifies the expected timeline.

Yes. Vynox maps relevant findings to SOC 2 and ISO 27001 control evidence requirements, helping teams prepare for audit requests and customer security questionnaires. The engagement is not a certification audit, but it provides independent testing evidence, prioritized remediation, and assessor-ready reporting. AI engagements can also support EU AI Act and OWASP LLM Top 10 security evidence needs.

You receive an executive summary for leadership and a technical report for engineering teams. Findings include severity context, CVSS scores where applicable, evidence screenshots, reproduction steps, affected systems, and stack-specific remediation guidance. Reports can map findings to compliance requirements. A sample penetration test report is available on request, so stakeholders can review the deliverable format before committing.

Yes. Vynox can validate remediation after your team deploys fixes to staging. Under the PTaaS model, retests are available with same-day turnaround once a fix is deployed, helping teams close verified findings without waiting for the next annual assessment. Continuous testing can also align testing activity with every sprint or model update, rather than relying on a point-in-time test.