[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fG2MHQb2qhosNFr7Ky1-AxSe_z9RxS4A9g3NsOJFjVOA":3},{"article":4,"iocs":37,"watch_terms":38,"solutions":39,"lesson":67},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":8,"url":10,"image_url":11,"published_at":12,"ingested_at":13,"relevance_score":14,"entities":15,"category_id":19,"category":20,"article_tags":24},"00cc46a5-df25-420b-8630-41e427c1b1e0","AI Governance Can't Wait","ai-governance-can-t-wait-f232a4","Adversaries can manipulate AI defensive reasoning to silently compromise target networks.","The article highlights a critical vulnerability in AI systems: adversaries can exploit them to bypass network defenses. By manipulating AI's defensive reasoning capabilities, attackers can achieve silent network compromises, underscoring the urgent need for robust AI governance and security measures.","https:\u002F\u002Fwww.darkreading.com\u002Fcyber-risk\u002Fai-governance-cannot-wait","https:\u002F\u002Feu-images.contentstack.com\u002Fv3\u002Fassets\u002Fblt6d90778a997de1cd\u002Fblt8ddbf63a10c918d0\u002F6aa43a1b4a5cb4f4c4b367ba\u002FAI_governance_-_DK_Studio_-_Getty-2285216695.jpg?width=720&quality=80&disable=upscale","2026-09-11T17:10:56+00:00","2026-09-11T18:00:34.013223+00:00",7,[16],{"name":17,"type":18},"AI","technology","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":19,"icon":21,"name":22,"slug":23},null,"AI Security","ai-security",[25,30,32],{"category":26},{"id":27,"icon":21,"name":28,"slug":29},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":31},{"id":19,"icon":21,"name":22,"slug":23},{"category":33},{"id":34,"icon":21,"name":35,"slug":36},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[],{"controls":40,"vendors":66},[41],{"slug":23,"name":42,"problem":43,"products":44},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[45,53,61],{"vendor_slug":46,"vendor_name":47,"vendor_logo":48,"product_slug":49,"product_name":50,"url":51,"description":52},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","boomi-agentstudio","Boomi Agentstudio","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fagentstudio\u002F","Agent builder whose Agent Control Tower registers and monitors Boomi agents and agents on Amazon Bedrock, Microsoft Copilot and other platforms, keeps audit logs and can switch agents off where the provider allows it.",{"vendor_slug":54,"vendor_name":55,"vendor_logo":56,"product_slug":57,"product_name":58,"url":59,"description":60},"palo-alto-networks","Palo Alto Networks","\u002Fvendor-logos\u002Fpalo-alto-networks.png","prisma-airs","Prisma AIRS","https:\u002F\u002Fwww.paloaltonetworks.com\u002Fai-security\u002Fprisma-airs","Security for AI applications, models and agents, including runtime protection against prompt injection.",{"vendor_slug":46,"vendor_name":47,"vendor_logo":48,"product_slug":62,"product_name":63,"url":64,"description":65},"boomi-ai-gateway","Boomi AI Gateway","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fai-gateway\u002F","Gateway for AI model and MCP tool traffic, built on Lunar.dev technology. It limits which tools each agent can call. Its enterprise version adds an approval step for new MCP servers and logs each call with the user or agent behind it.",[],{"slug":68,"title":69,"body":70,"framework_refs":71,"framework_notes":82},"ai-systems-can-be-weaponized-to-bypass-network-defenses","AI Systems Can Be Weaponized to Bypass Network Defenses","Adversaries are discovering that AI-driven security tools can be manipulated through adversarial inputs, causing those systems to misclassify threats or suppress alerts — effectively turning defenders' own tools against them. This 'silent compromise' vector is particularly dangerous because traditional monitoring may not flag the intrusion, as the AI itself has been deceived into treating malicious activity as benign. Organizations deploying AI in security roles without adequate oversight, testing, and governance are inadvertently introducing a new attack surface. The urgency of establishing formal AI governance frameworks cannot be overstated, as unchecked AI deployments in critical security roles create systemic, hard-to-detect risks.",[72,73,74,75,76,77,78,79,80,81],"NIST AI RMF (AI Risk Management Framework) - Govern 1.1, Govern 1.2","NIST SP 800-53 SI-3: Malicious Code Protection","NIST SP 800-53 AU-2: Audit Events \u002F AU-12: Audit Record Generation","CIS Control 10: Malware Defenses","CIS Control 13: Network Monitoring and Defense","CIS Control 16: Application Software Security","MITRE ATLAS: Adversarial Threat Landscape for AI Systems","EU AI Act — Article 9: Risk Management Systems for High-Risk AI","GDPR Article 22: Automated Decision-Making and Profiling","ITIL 4: Risk Management and Continual Improvement Practices",{}]