--- title: 3 Frameworks to Protect CISOs & Orgs Against AI Liability description: CISOs can protect themselves against AI liability with three frameworks from cyber legal expert Daniel B. Garrie of Law and Forensics. The first is a... canonical: https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: 3 Frameworks to Protect CISOs & Orgs Against AI Liability | daily.dev og:description: CISOs can protect themselves against AI liability with three frameworks from cyber legal expert Daniel B. Garrie of Law and Forensics. The first is a... og:url: https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg og:image: https://api.daily.dev/og/posts/AiXBDXccg.png og:image:alt: 3 Frameworks to Protect CISOs & Orgs Against AI Liability og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # 3 Frameworks to Protect CISOs & Orgs Against AI Liability **[Dark Reading](https://daily.dev/sources/dr)** · 5 min read · 0 upvotes · 0 comments ## Summary CISOs can protect themselves against AI liability with three frameworks from cyber legal expert Daniel B. Garrie of Law and Forensics. The first is a five-factor risk score covering potential harm, data and rights, autonomy, evidence gap, and vendor dependence, which sorts AI tools into standard review, conditional approval, restricted pilot, or hold release tiers. The second documents board decisions with details like risk exposure, approval conditions, and accountable parties. The third is an incident response checklist preserving system state, interaction records, and chain of custody. Garrie also urges CISOs to negotiate evidence access into vendor contracts before signing, since vendors won't provide anything not specifically outlined afterward. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What should CISOs negotiate into AI vendor contracts to prepare for an incident? CISOs should negotiate evidence access provisions before signing, including whether the vendor can provide a snapshot of the AI model at the time of an incident and how fast it can be delivered. Contracts should also cover risk allocation, data restrictions, warranties, insurance, liability caps, vendor operational controls and access, and how disputes will be handled, since vendors won't provide anything not explicitly outlined once the contract is signed. _Reviewing AI vendor contract terms before signing is exactly the kind of practical guidance developers track on daily.dev._ ### What factors go into scoring the risk of deploying an AI tool for liability purposes? Daniel Garrie's five-factor rubric scores AI deployment risk across potential harm, data and rights, autonomy, evidence gap, and vendor dependence. The resulting score sorts a tool into one of four tiers: standard review, conditional approval, restricted pilot, or hold release, making the underlying risk assumptions visible to decision makers. _Weighing AI tool risk before rollout is a recurring need daily.dev readers can keep tabs on._ ### What data should be preserved after an AI security incident to support a legal defense? An AI incident response checklist should preserve the system state at the time of the incident, interaction records, data and access information, a governance record, and data integrity and chain of custody details, beyond basic security logs. Legal counsel should also be involved immediately, and the goal is preserving evidence, not just containing the compromise. _Building an incident response checklist for AI systems is a task security teams revisit often on daily.dev._ ## Similar posts on daily.dev - [A 5-step approach to taming shadow AI](https://daily.dev/posts/a-5-step-approach-to-taming-shadow-ai-bx3dhxnxk) · CSO Online · 1 upvotes · 0 comments - [AI is Rewriting the Rules of Risk: Three Ways CISOs Can Lead the Next Chapter](https://daily.dev/posts/ai-is-rewriting-the-rules-of-risk-three-ways-cisos-can-lead-the-next-chapter-npfgkqz0p) · Security Boulevard · 0 upvotes · 0 comments - [AI Risk Management: A Comprehensive Guide to Securing AI Systems](https://daily.dev/posts/ai-risk-management-a-comprehensive-guide-to-securing-ai-systems-takubhqpz) · databricks · 0 upvotes · 0 comments - [AI Security for Sensitive Data: Best Practices and Guidelines](https://daily.dev/posts/ai-security-for-sensitive-data-best-practices-and-guidelines-m2bdr89i2) · Orca Security Blog · 0 upvotes · 0 comments - [Cloud CISO Perspectives: Practical guidance on building with SAIF](https://daily.dev/posts/cloud-ciso-perspectives-practical-guidance-on-building-with-saif-mujl5sbnq) · Google Cloud · 0 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#ai-governance](https://daily.dev/tags/ai-governance) [View this post on daily.dev](https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"3 Frameworks to Protect CISOs \u0026 Orgs Against AI Liability","url":"https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg"},"datePublished":"2026-10-27T21:40:33.209Z","dateModified":"2026-10-27T21:43:00.209Z","description":"CISOs can protect themselves against AI liability with three frameworks from cyber legal expert Daniel B. Garrie of Law and Forensics. The first is a...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e475f6909d0e8bb308b86610564a74a4?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e475f6909d0e8bb308b86610564a74a4?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Dark Reading","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Dark Reading","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/dr","url":"https://daily.dev/sources/dr"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"security,ai-governance","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Dark Reading","item":"https://daily.dev/sources/dr"},{"@type":"ListItem","position":3,"name":"3 Frameworks to Protect CISOs \u0026 Orgs Against AI Liability"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/3-frameworks-to-protect-cisos-orgs-against-ai-liability-aixbdxccg#faq","mainEntity":[{"@type":"Question","name":"What should CISOs negotiate into AI vendor contracts to prepare for an incident?","acceptedAnswer":{"@type":"Answer","text":"CISOs should negotiate evidence access provisions before signing, including whether the vendor can provide a snapshot of the AI model at the time of an incident and how fast it can be delivered. Contracts should also cover risk allocation, data restrictions, warranties, insurance, liability caps, vendor operational controls and access, and how disputes will be handled, since vendors won't provide anything not explicitly outlined once the contract is signed. Reviewing AI vendor contract terms before signing is exactly the kind of practical guidance developers track on daily.dev."}},{"@type":"Question","name":"What factors go into scoring the risk of deploying an AI tool for liability purposes?","acceptedAnswer":{"@type":"Answer","text":"Daniel Garrie's five-factor rubric scores AI deployment risk across potential harm, data and rights, autonomy, evidence gap, and vendor dependence. The resulting score sorts a tool into one of four tiers: standard review, conditional approval, restricted pilot, or hold release, making the underlying risk assumptions visible to decision makers. Weighing AI tool risk before rollout is a recurring need daily.dev readers can keep tabs on."}},{"@type":"Question","name":"What data should be preserved after an AI security incident to support a legal defense?","acceptedAnswer":{"@type":"Answer","text":"An AI incident response checklist should preserve the system state at the time of the incident, interaction records, data and access information, a governance record, and data integrity and chain of custody details, beyond basic security logs. Legal counsel should also be involved immediately, and the goal is preserving evidence, not just containing the compromise. Building an incident response checklist for AI systems is a task security teams revisit often on daily.dev."}}]} ```