[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fRLHBoLE72ZxcM_n1dR2u9fl1oesIGKathZxSlqD5ziY":3},{"article":4,"iocs":49,"watch_terms":50,"solutions":51,"lesson":137},{"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":26,"category":27,"article_tags":31},"36cec7d5-9ced-417e-a0c8-15ec653f834e","This Is Flock’s AI Search Tool for Cops","this-is-flock-s-ai-search-tool-for-cops-29b956","WIRED rebuilt Flock’s latest search tool from code the company sends to a police officer’s browser. Its AI can keep watch across multiple cameras for anyone fitting a written description.","Flock Safety's new AI-powered search tool allows police to find individuals based on written descriptions across multiple cameras. Despite company claims of safeguards, analysis of the tool's code reveals that while abusive uses may be recorded, they are not necessarily prevented. Experts raise concerns about the AI's accuracy and its handling of sensitive search categories like race and religion.","Flock's AI search tool for police faces scrutiny over accuracy and potential misuse.","https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fflock-ai-search-user-interface\u002F","https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F6a87505516e3a66e632977e8\u002Fmaster\u002Fpass\u002FSecurity_FlockLetsCopsConductAISearchUsingPolitics_v1.gif","2026-09-03T10:00:00+00:00","2026-09-03T12:00:15.751063+00:00",7,[17,20,23],{"name":18,"type":19},"Flock's AI search tool","product",{"name":21,"type":22},"Flock Safety","vendor",{"name":24,"type":25},"AI","technology","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":26,"icon":28,"name":29,"slug":30},null,"AI Security","ai-security",[32,37,42,44],{"category":33},{"id":34,"icon":28,"name":35,"slug":36},"02371804-cf6d-4449-98de-f1a2d4d9b266","Tools","tools",{"category":38},{"id":39,"icon":28,"name":40,"slug":41},"614132b8-5837-4952-b8b5-c6c9a32a1d85","Privacy","privacy",{"category":43},{"id":26,"icon":28,"name":29,"slug":30},{"category":45},{"id":46,"icon":28,"name":47,"slug":48},"c5c77cdb-f7d7-4990-9436-c81dcbff1163","Policy","policy",[],[21,18],{"controls":52,"vendors":136},[53,82,111],{"slug":54,"name":55,"problem":56,"products":57},"identity-threat-detection","Identity threat detection and response (ITDR)","Attackers who log in with real, stolen credentials get noticed.",[58,66,74],{"vendor_slug":59,"vendor_name":60,"vendor_logo":61,"product_slug":62,"product_name":63,"url":64,"description":65},"microsoft","Microsoft","\u002Fvendor-logos\u002Fmicrosoft.png","defender-for-identity","Microsoft Defender for Identity","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fbusiness\u002Fsiem-and-xdr\u002Fmicrosoft-defender-for-identity","Detects attacks against on-premises Active Directory and hybrid identities.",{"vendor_slug":67,"vendor_name":68,"vendor_logo":69,"product_slug":70,"product_name":71,"url":72,"description":73},"vectra-ai","Vectra AI","\u002Fvendor-logos\u002Fvectra-ai.png","vectra-ai-platform","Vectra AI Platform","https:\u002F\u002Fwww.vectra.ai\u002Fplatform","Detection of attacker behaviour across network, identity and cloud.",{"vendor_slug":75,"vendor_name":76,"vendor_logo":77,"product_slug":78,"product_name":79,"url":80,"description":81},"crowdstrike","CrowdStrike","\u002Fvendor-logos\u002Fcrowdstrike.png","falcon-identity-protection","Falcon Identity Protection","https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fplatform\u002Fnext-gen-identity-security\u002Fidentity-protection\u002F","Detection of identity attacks against Active Directory and Entra ID, with risk-based MFA.",{"slug":83,"name":84,"problem":85,"products":86},"breach-attack-simulation","Breach and attack simulation","You only find out whether your security tools stop an attack when a real attacker tries.",[87,95,103],{"vendor_slug":88,"vendor_name":89,"vendor_logo":90,"product_slug":91,"product_name":92,"url":93,"description":94},"safebreach","SafeBreach","\u002Fvendor-logos\u002Fsafebreach.png","safebreach-validate","SafeBreach Validate","https:\u002F\u002Fwww.safebreach.com\u002Fvalidate-breach-and-attack-simulation\u002F","Breach and attack simulation with a large library of real attack methods, testing how well controls work across the whole attack chain.",{"vendor_slug":96,"vendor_name":97,"vendor_logo":98,"product_slug":99,"product_name":100,"url":101,"description":102},"horizon3-ai","Horizon3.ai","\u002Fvendor-logos\u002Fhorizon3-ai.png","nodezero","NodeZero","https:\u002F\u002Fhorizon3.ai\u002Fnodezero\u002F","Continuous autonomous penetration testing of internal and external networks, cloud, Kubernetes and web applications, showing which attack paths work and checking that fixes hold.",{"vendor_slug":104,"vendor_name":105,"vendor_logo":106,"product_slug":107,"product_name":108,"url":109,"description":110},"pentera","Pentera","\u002Fvendor-logos\u002Fpentera.png","pentera-platform","Pentera Platform","https:\u002F\u002Fpentera.io\u002Fpentera-platform\u002F","Runs automated, safe attacks in production to validate exploitable attack paths, prioritise proven risk and confirm fixes. Modules cover internal networks, the external attack surface and cloud.",{"slug":30,"name":112,"problem":113,"products":114},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[115,123,131],{"vendor_slug":116,"vendor_name":117,"vendor_logo":118,"product_slug":119,"product_name":120,"url":121,"description":122},"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":124,"vendor_name":125,"vendor_logo":126,"product_slug":127,"product_name":128,"url":129,"description":130},"hiddenlayer","HiddenLayer","\u002Fvendor-logos\u002Fhiddenlayer.png","hiddenlayer-ai-security","HiddenLayer AI Security Platform","https:\u002F\u002Fhiddenlayer.com\u002F","Model scanning, AI red teaming and runtime protection for AI applications.",{"vendor_slug":116,"vendor_name":117,"vendor_logo":118,"product_slug":132,"product_name":133,"url":134,"description":135},"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":138,"title":139,"body":140,"framework_refs":141,"framework_notes":152},"flock-safetys-ai-cop-search-tool-logs-abuse-but-doesnt-stop-it","Flock Safety's AI Cop Search Tool Logs Abuse But Doesn't Stop It","Flock Safety's AI-powered surveillance tool allows law enforcement to search for individuals using natural language descriptions across a wide camera network, but code analysis reveals that policy violations are logged rather than actively blocked. This represents a critical gap between perceived safeguards and actual technical enforcement — a system that records misuse after the fact provides no real protection for individuals whose data is improperly queried. The tool's handling of sensitive attributes like race and religion raises significant civil liberties and bias concerns, as AI accuracy issues in these categories can lead to wrongful targeting. When powerful surveillance technology is deployed without hard technical controls, organizational policy alone is insufficient to prevent abuse.",[142,143,144,145,146,147,148,149,150,151],"CIS Control 3: Data Protection","CIS Control 6: Access Control Management","CIS Control 8: Audit Log Management","NIST SP 800-53 AC-2: Account Management","NIST SP 800-53 AU-6: Audit Record Review and Analysis","NIST AI RMF: Govern 1.1, Map 2.3 (AI Risk Management Framework)","GDPR Article 9: Processing of Special Categories of Personal Data","GDPR Article 22: Automated Individual Decision-Making","EU AI Act: High-Risk AI Systems Classification (Law Enforcement)","ITIL: Service Level Management & Compliance Reporting",{}]