{"id":5729,"date":"2026-10-26T18:00:47","date_gmt":"2026-10-26T07:00:47","guid":{"rendered":"https:\/\/exigotech.ethub.co\/ai-security\/ai-security-audit\/"},"modified":"2026-10-28T15:11:57","modified_gmt":"2026-10-28T04:11:57","slug":"ai-security-audit","status":"publish","type":"page","link":"https:\/\/exigotech.ethub.co\/au\/services\/ai-and-automation\/ai-security\/ai-security-audit","title":{"rendered":"AI Security Audit & Remediation Services | Exigo Tech"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":4712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5729","page","type-page","status-publish","hentry"],"acf":{"section_order":[{"section":"hero_banner_industry"},{"section":"services_about"},{"section":"core_offerings"},{"section":"our_experts"},{"section":"core_values"},{"section":"cta"},{"section":"partners"},{"section":"case_study"},{"section":"blogs"},{"section":"faqs"},{"section":"contact_us"}],"co_heading_bold":"Core Offerings:","co_heading_regular":"AI Security Audit & Remediation Services","co_description":"The engagement moves from understanding your AI attack surface through adversarial testing, actionable remediation, and verification that identified weaknesses have been addressed. 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It covers prompt injection, data leakage, excessive agency and other risks in the OWASP Top 10 for LLM Applications, and ends with confirmed findings, a prioritised fix plan and a retest."},{"question":"How is this different from a normal penetration test?","answer":"A standard penetration test looks at networks, servers and web applications. It does not test how a model responds to manipulated prompts, poisoned documents or misuse of agent tools. An AI security audit focuses on those AI-specific paths, and works best alongside your existing penetration testing and security assessments."},{"question":"What do you test against?","answer":"We test against every category in the OWASP Top 10 for LLM Applications and map findings to the NIST AI Risk Management Framework and MITRE ATLAS. For agents that plan, use tools and act on their own, we also draw on OWASP guidance for agentic applications, so newer agent risks are covered too."},{"question":"Do we need AI in production before an audit?","answer":"Yes. The audit tests real, deployed AI systems, so it usually follows a Copilot rollout, an agent build or an AI application launch. If you are still planning, start with an AI readiness assessment or governance work, then audit once the first systems are live and in use."},{"question":"Will testing disrupt our users or systems?","answer":"We agree scope, test accounts and timing with you before any testing begins. Most testing runs against non-production environments or controlled test accounts, so end users are not affected. Any testing in production is planned with your team in advance and kept within agreed limits."},{"question":"How often should we repeat an AI security audit?","answer":"AI estates change quickly as new agents, data sources and models are added. 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