[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f4tYVsV0l31Jj_80EItu7QF6skQUlbYVu1rSqeqAjdA4":3},{"article":4,"iocs":46,"watch_terms":47,"solutions":48,"lesson":105},{"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":23,"category":24,"article_tags":28},"ffb775ff-1f8f-4e29-9bfa-a7eb9abe4530","AI Is Getting Really Good at Messing With Cybercriminals","ai-is-getting-really-good-at-messing-with-cybercriminals-e83db6","Anti-cybercrime initiatives are increasingly using AI to scam the scammers by tricking them into talking to lifelike bots that they think are real victims.","Companies like Apate are developing AI bots that mimic victims to engage with phone and online scammers. These bots are designed to keep scammers on the line for extended periods, wasting their time and collecting valuable intelligence on their operations, such as scam URLs and bank details. This approach aims to disrupt scamming activities at scale and provide insights to aid in combating cybercrime.","AI-powered bots are being used to engage and gather intelligence from cybercriminals.","https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fai-is-getting-really-good-at-messing-with-cybercriminals\u002F","https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F6ac7e488d45774a31ff822a9\u002Fmaster\u002Fpass\u002FKernel-Panic-AI-Getting-Really-Good-Fucking-With-Cybercriminals-Security.jpg","2026-10-10T12:00:00+00:00","2026-10-10T14:00:03.067229+00:00",7,[17,20],{"name":18,"type":19},"Apate","vendor",{"name":21,"type":22},"AI bots","technology","e7b231c8-5f79-4465-8d38-1ef13aea5a14",{"id":23,"icon":25,"name":26,"slug":27},null,"Threat Intelligence","threat-intelligence",[29,34,39,44],{"category":30},{"id":31,"icon":25,"name":32,"slug":33},"02371804-cf6d-4449-98de-f1a2d4d9b266","Tools","tools",{"category":35},{"id":36,"icon":25,"name":37,"slug":38},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":40},{"id":41,"icon":25,"name":42,"slug":43},"c5eccf7c-abbc-4bd3-bbed-e6da5cba8e73","Incident Response","incident-response",{"category":45},{"id":23,"icon":25,"name":26,"slug":27},[],[18],{"controls":49,"vendors":104},[50,76],{"slug":51,"name":52,"problem":53,"products":54},"deception","Deception and honeypots","An attacker who gets in quietly can explore the network for weeks before any alarm goes off.",[55,63,71],{"vendor_slug":56,"vendor_name":57,"vendor_logo":58,"product_slug":59,"product_name":60,"url":61,"description":62},"acalvio","Acalvio","\u002Fvendor-logos\u002Facalvio.png","shadowplex-identity-protection","ShadowPlex Identity Protection","https:\u002F\u002Fwww.acalvio.com\u002Fproducts\u002Fidentity-protection\u002F","Decoy accounts and credentials that expose identity attacks and credential misuse early.",{"vendor_slug":64,"vendor_name":65,"vendor_logo":66,"product_slug":67,"product_name":68,"url":69,"description":70},"zscaler","Zscaler","\u002Fvendor-logos\u002Fzscaler.png","zscaler-deception","Zscaler Deception","https:\u002F\u002Fwww.zscaler.com\u002Fproducts-and-solutions\u002Fdeception-technology","Decoys built into the Zscaler platform that turn any attacker interaction into a confirmed alert.",{"vendor_slug":56,"vendor_name":57,"vendor_logo":58,"product_slug":72,"product_name":73,"url":74,"description":75},"shadowplex-advanced-threat-defense","ShadowPlex Advanced Threat Defense","https:\u002F\u002Fwww.acalvio.com\u002Fproducts\u002Fadvanced-threat-defense\u002F","Deception that detects lateral movement and insider threats early, using AI to place and tune decoys.",{"slug":27,"name":77,"problem":78,"products":79},"Threat intelligence","Attack campaigns reach your sector, suppliers or software before your team hears about them.",[80,88,96],{"vendor_slug":81,"vendor_name":82,"vendor_logo":83,"product_slug":84,"product_name":85,"url":86,"description":87},"recorded-future","Recorded Future","\u002Fvendor-logos\u002Frecorded-future.png","recorded-future-cyber-operations","Recorded Future Cyber Operations","https:\u002F\u002Fwww.recordedfuture.com\u002Fproducts\u002Fcyber-operations","Threat intelligence built into security operations workflows, to prioritise alerts and act on threats before they arrive.",{"vendor_slug":89,"vendor_name":90,"vendor_logo":91,"product_slug":92,"product_name":93,"url":94,"description":95},"google","Google","\u002Fvendor-logos\u002Fgoogle.png","google-threat-intelligence","Google Threat Intelligence","https:\u002F\u002Fcloud.google.com\u002Fsecurity\u002Fproducts\u002Fthreat-intelligence","Threat intelligence from Mandiant's frontline investigations, Google's threat analysts, open sources and Google's own visibility, in one service.",{"vendor_slug":97,"vendor_name":98,"vendor_logo":99,"product_slug":100,"product_name":101,"url":102,"description":103},"reliaquest","ReliaQuest","\u002Fvendor-logos\u002Freliaquest.png","greymatter-digital-risk-protection","GreyMatter Digital Risk Protection","https:\u002F\u002Freliaquest.com\u002Fsecurity-operations-platform\u002Fdark-web-and-digital-risk-protection\u002F","Watches the open, deep and dark web for threats aimed at an organisation and alerts its security team in real time.",[],{"slug":106,"title":107,"body":108,"framework_refs":109,"framework_notes":118},"ai-honeypots-turn-the-tables-on-scammers-by-wasting-their-time-and-harvesting-intel","AI Honeypots Turn the Tables on Scammers by Wasting Their Time and Harvesting Intel","Traditional defenses focus on blocking threats after they reach potential victims, but AI-driven counter-scam bots like those developed by Apate take a proactive stance by engaging scammers directly and disrupting their operations. By mimicking real victims, these bots consume scammers' limited time and resources while simultaneously collecting actionable intelligence such as fraudulent URLs and financial account details. This matters because scam operations are volume-driven businesses — reducing their efficiency and exposing their infrastructure can meaningfully degrade their ability to harm real people. The intelligence gathered also feeds broader cybercrime investigations, helping law enforcement and organizations stay ahead of evolving tactics. This emerging approach highlights how offensive-minded, automated tools can complement traditional defensive security measures.",[110,111,112,113,114,115,116,117],"CIS Control 14 – Security Awareness and Skills Training","CIS Control 17 – Incident Response Management","NIST SP 800-61 Rev. 2 – Computer Security Incident Handling Guide","NIST SP 800-50 – Building an Information Technology Security Awareness and Training Program","NIST DE.CM-1 – Network Communications Monitored","ITIL – Problem Management (proactive identification of recurring threat patterns)","GDPR Article 32 – Security of Processing (protecting individuals from fraud-related data exposure)","FTC Scam Reporting Framework – Consumer fraud intelligence sharing guidelines",{}]