Expert AWS AI/ML Security Assessment Services

AI and ML can improve AWS security by detecting unusual behavior, prioritizing alerts, analyzing logs, and automating response workflows. However, AI systems also introduce new risks, including prompt injection, model inversion, RAG data leakage, and agent tool-call abuse. Vynox Security assesses both sides: how your AWS AI workloads strengthen security and how attackers may exploit them.

An AWS AI/ML security assessment reviews the cloud infrastructure, AI application logic, model interfaces, data retrieval paths, IAM permissions, APIs, and supporting services around your AI workloads. Vynox Security tests for cloud misconfigurations, exposed storage, privilege escalation, prompt injection, RAG exfiltration, agent hijacking, and compliance gaps mapped to frameworks like SOC 2 and ISO 27001.

Traditional AWS penetration testing focuses on cloud misconfigurations, exposed services, weak IAM policies, vulnerable applications, and network attack paths. AI/ML security assessment goes further by testing LLM behavior, prompt boundaries, vector database access, agent tool permissions, model extraction risks, and training data exposure. Vynox Security combines both so infrastructure and AI-specific risks are evaluated together.

Most Vynox Security engagements are delivered in 5–15 business days, depending on scope. Focused AI and LLM penetration testing may take 5–7 business days, cloud security testing typically takes 3–5 business days, and deeper RAG, agent, or model inversion assessments often take 10–15 business days. Broader red team exercises may require 3–5 weeks.

Yes. Vynox Security provides compliance-ready evidence mapping for SOC 2 and ISO 27001, including AI-specific control considerations. Findings can be mapped to OWASP LLM Top 10, cloud security benchmarks, and infrastructure security frameworks. Reports include executive summaries, technical findings, evidence screenshots, CVSS scores, reproduction steps, and remediation guidance suitable for engineering and audit conversations.

Vynox Security evaluates AWS risks such as IAM privilege escalation paths, exposed S3 buckets, public snapshots or AMIs, weak network controls, poor secrets management, missing key rotation, and inadequate isolation around AI pipelines. The assessment also considers how cloud weaknesses could expose model weights, training data, application code, vector stores, or sensitive customer information.

Yes. Vynox Security provides developer-ready, stack-specific remediation guidance with reproduction steps, evidence, impact explanation, and prioritized fixes. Reports are written for both leadership and engineering teams, helping decision-makers understand business risk while giving developers concrete steps to address vulnerabilities. Retests can verify fixes, with same-day turnaround available when fixes are deployed to staging.

Vynox Security offers transparent, stage-appropriate pricing from startup to enterprise scale. Scope is usually defined during a free 30-minute discovery call, where the team reviews your AWS AI/ML architecture, key assets, compliance goals, and testing priorities. This ensures pricing reflects the actual attack surface rather than forcing your team into a generic package.