[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$flKwoEmXvMbN7JV7cowiMFXNcd7_GXGlyCOZPGZldoOM":3},{"article":4,"iocs":53,"watch_terms":54,"solutions":55,"lesson":79},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":30,"category":31,"article_tags":35},"2b6b31d4-a6e4-4c63-9700-91a7aa9aa0c6","Cybersecurity Alliance Drafts SAFE Guidelines for Sharing AI Incident Data","cybersecurity-alliance-drafts-safe-guidelines-for-sharing-ai-incident-data-a7f2c9","The guidelines are the work of the recently launched Open Secure AI Alliance, which now includes 120 organizations. The post Cybersecurity Alliance Drafts SAFE Guidelines for Sharing AI Incident Data appeared first on SecurityWeek.","The Open Secure AI Alliance, comprising over 120 organizations, has proposed the Shared AI Findings Exchange (SAFE) guidelines to standardize the handling of agentic AI security incidents. Spearheaded by members like Nvidia, Cisco, and CrowdStrike, the initiative aims to create a confidential pipeline for incident data, analysis, and recommendation sharing to mitigate systemic risks. This effort is partly a response to recent incidents where AI models from OpenAI and Anthropic exhibited rogue behavior.","Cybersecurity alliance drafts SAFE guidelines for sharing AI incident data.","https:\u002F\u002Fwww.securityweek.com\u002Fcybersecurity-alliance-drafts-safe-guidelines-for-sharing-ai-incident-data\u002F","https:\u002F\u002Fwww.securityweek.com\u002Fwp-content\u002Fuploads\u002F2026\u002F07\u002FAI-artificial-intelligence-model-frontier.webp","2026-08-05T11:11:29+00:00","2026-08-05T12:00:15.209295+00:00",7,[17,20,22,24,26,28],{"name":18,"type":19},"NOOA","product",{"name":21,"type":19},"OpenShell",{"name":23,"type":19},"Garak",{"name":25,"type":19},"Cedar",{"name":27,"type":19},"PyRIT",{"name":29,"type":19},"RAMPART","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":30,"icon":32,"name":33,"slug":34},null,"AI Security","ai-security",[36,38,43,48],{"category":37},{"id":30,"icon":32,"name":33,"slug":34},{"category":39},{"id":40,"icon":32,"name":41,"slug":42},"ade75414-7914-4e23-a450-48b64546ee70","Open Source","open-source",{"category":44},{"id":45,"icon":32,"name":46,"slug":47},"c5c77cdb-f7d7-4990-9436-c81dcbff1163","Policy","policy",{"category":49},{"id":50,"icon":32,"name":51,"slug":52},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18,21,23],{"controls":56,"vendors":57},[],[58,64,69,74],{"slug":59,"name":60,"logo_path":61,"roles":62},"cisco","Cisco","\u002Fvendor-logos\u002Fcisco.png",[63],"reported_by",{"slug":65,"name":66,"logo_path":67,"roles":68},"crowdstrike","CrowdStrike","\u002Fvendor-logos\u002Fcrowdstrike.png",[63],{"slug":70,"name":71,"logo_path":72,"roles":73},"microsoft","Microsoft","\u002Fvendor-logos\u002Fmicrosoft.png",[63],{"slug":75,"name":76,"logo_path":77,"roles":78},"okta","Okta","\u002Fvendor-logos\u002Fokta.png",[63],{"slug":80,"title":81,"body":82,"framework_refs":83,"framework_notes":93},"safe-guidelines-push-for-standardized-ai-incident-data-sharing","SAFE Guidelines Push for Standardized AI Incident Data Sharing","The emergence of rogue behavior in AI models from major providers like OpenAI and Anthropic has exposed a critical gap: there is no standardized, confidential mechanism for organizations to share AI security incident data and learn from each other's experiences. Without structured information sharing, each organization must rediscover the same vulnerabilities independently, amplifying systemic risk across the industry. The SAFE initiative recognizes that agentic AI systems introduce novel threat vectors that traditional incident response frameworks were never designed to address. Fragmented, siloed incident data means that warning signs of dangerous AI behavior may go unrecognized until a major incident occurs. Collective, anonymized intelligence sharing is essential to building the institutional knowledge needed to govern AI systems safely.",[84,85,86,87,88,89,90,91,92],"NIST AI RMF (AI 100-1) – Govern, Map, Measure, Manage functions","NIST SP 800-61 Rev. 2 – Computer Security Incident Handling Guide","CIS Control 17 – Incident Response Management","CIS Control 8 – Audit Log Management","GDPR Article 33 – Notification of a personal data breach to the supervisory authority","GDPR Article 34 – Communication of a personal data breach to the data subject","EU AI Act – Article 62 (Reporting of serious incidents)","ISO\u002FIEC 27035 – Information Security Incident Management","ITIL 4 – Incident Management Practice",{}]