AI Security Audits

Know Exactly Where Your AI Is Vulnerable

SilverXAI conducts deep security audits of LLMs, AI agents, RAG pipelines, and ML infrastructure — uncovering real vulnerabilities before adversaries do.

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What We Audit

Audit Services

Every audit is scoped to your system, not a generic checklist.

LLM Security Audit

Full assessment of your large language model deployment — prompt injection vectors, jailbreak resilience, data leakage paths, and output safety controls.

AI Agent Security Review

Evaluate autonomous AI agents for privilege escalation, tool misuse, goal hijacking, and unintended actions. Covers single-agent and multi-agent architectures.

RAG Pipeline Audit

Assess retrieval-augmented generation pipelines for data poisoning, indirect prompt injection via documents, context manipulation, and unauthorized data exposure.

ML Model Security Assessment

Inspect trained models for adversarial robustness, model inversion risks, membership inference vulnerabilities, and supply chain integrity.

AI Infrastructure Audit

Review cloud-hosted AI infrastructure, API endpoints, model serving layers, and access controls for misconfigurations and exposure risks.

AI Governance & Compliance Audit

Gap analysis against OWASP AI Top 10, NIST AI RMF, MITRE ATLAS, and ISO 42001. Includes policy review, risk register, and a remediation roadmap.

How It Works

Our Audit Process

01

Discovery & Scoping

We map your AI stack — models, APIs, data flows, integrations, and trust boundaries — to define a precise audit scope with no blind spots.

02

Adversarial Testing

Our red team probes your systems using real attack techniques drawn from OWASP AI Top 10 and MITRE ATLAS, not just automated scans.

03

Deep Analysis

Findings are triaged, validated, and scored by severity. Every vulnerability is documented with a proof-of-concept and business impact assessment.

04

Remediation Report

You receive a detailed report with prioritized fixes, architecture recommendations, and a compliance gap summary your team can act on immediately.

05

Retest & Sign-Off

After you remediate, we retest every finding to confirm the fixes hold and provide a clean attestation letter for stakeholders or auditors.

What You Get

Every Audit Includes

We don't hand you a raw list of CVEs. Every engagement delivers clear, prioritized, actionable output your team can work with on day one.

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  • Executive summary for leadership
  • Technical findings with proof-of-concept
  • Severity-ranked vulnerability register
  • Remediation guidance for every finding
  • Framework compliance gap analysis
  • Architecture hardening recommendations
  • Retest validation after remediation
  • Attestation letter on completion

Framework Aligned

Mapped to Industry Standards

Our audit methodology is built on the leading AI security frameworks so your findings map directly to compliance requirements.

OWASP AI Top 10

LLM application risks

MITRE ATLAS

Adversarial ML tactics

NIST AI RMF

AI risk management

ISO 42001

AI management system

Ready to Audit Your AI Systems?

Tell us what you're running and we'll scope an audit that gives you real answers — not checkbox compliance.