[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fTMcnbpqX_-5WJ9qCIWFlc_JsEzmbj144h2hiOL_oOeQ":3},{"article":4,"iocs":48,"watch_terms":49,"solutions":50,"lesson":110},{"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},"c2cb8c4e-d5d3-43c8-971a-0674a300425a","Arkose Labs expands Agent Trust Manager to govern agent sessions","arkose-labs-expands-agent-trust-manager-to-govern-agent-sessions-f2b41c","Arkose Labs has expanded Arkose Agent Trust Manager to help businesses control agentic traffic. Companies can classify agent sessions, apply allow, monitor or block policies at each step of the customer journey, and track the same agent across multiple networks. The need is urgent given Arkose Labs’ State of Agentic AI Trust Q3 report found that personal AI agents identify themselves less than 3% of the time. Rules that wait for an agent to announce … More → The post Arkose Labs expands Agent Trust Manager to govern agent sessions appeared first on Help Net Security.","Arkose Labs has enhanced its Agent Trust Manager to provide businesses with greater control over AI agent traffic. The expanded capabilities allow companies to classify agent sessions, enforce policies (allow, monitor, block) at various customer journey stages, and track agents across networks. This comes as a report indicates AI agents identify themselves less than 3% of the time, making traditional detection methods insufficient.","Arkose Labs expands Agent Trust Manager to control agentic traffic and classify AI agent sessions.","https:\u002F\u002Fwww.helpnetsecurity.com\u002F2026\u002F11\u002F05\u002Farkose-agent-trust-manager\u002F","https:\u002F\u002Fimg.helpnetsecurity.com\u002Fwp-content\u002Fuploads\u002F2024\u002F11\u002F28150559\u002Fhns-large_logo.webp","2026-11-05T14:33:02+00:00","2026-11-05T15:00:05.38133+00:00",7,[17,20,23,26,28],{"name":18,"type":19},"Agent Trust Manager","product",{"name":21,"type":22},"Arkose Labs","vendor",{"name":24,"type":25},"AI agents","technology",{"name":27,"type":19},"Arkose Titan",{"name":29,"type":19},"Arkose Agent ID","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":30,"icon":32,"name":33,"slug":34},null,"AI Security","ai-security",[36,41,43],{"category":37},{"id":38,"icon":32,"name":39,"slug":40},"02371804-cf6d-4449-98de-f1a2d4d9b266","Tools","tools",{"category":42},{"id":30,"icon":32,"name":33,"slug":34},{"category":44},{"id":45,"icon":32,"name":46,"slug":47},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[21,18,27],{"controls":51,"vendors":109},[52,81],{"slug":53,"name":54,"problem":55,"products":56},"breach-attack-simulation","Breach and attack simulation","You only find out whether your security tools stop an attack when a real attacker tries.",[57,65,73],{"vendor_slug":58,"vendor_name":59,"vendor_logo":60,"product_slug":61,"product_name":62,"url":63,"description":64},"attackiq","AttackIQ","\u002Fvendor-logos\u002Fattackiq.png","attackiq-ready","AttackIQ Ready","https:\u002F\u002Fwww.attackiq.com\u002Fproducts\u002Fready\u002F","Managed service that runs MITRE ATT&CK based emulations for you, with no scripting or tuning on your side.",{"vendor_slug":66,"vendor_name":67,"vendor_logo":68,"product_slug":69,"product_name":70,"url":71,"description":72},"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":74,"vendor_name":75,"vendor_logo":76,"product_slug":77,"product_name":78,"url":79,"description":80},"picus-security","Picus Security","\u002Fvendor-logos\u002Fpicus-security.png","picus-autonomous-penetration-testing","Picus Autonomous Penetration Testing","https:\u002F\u002Fwww.picussecurity.com\u002Fplatform\u002Fautonomous-penetration-testing","Automated penetration tests that prove which weaknesses are actually exploitable, so fixing can focus on real risk.",{"slug":47,"name":82,"problem":83,"products":84},"Threat intelligence","Attack campaigns reach your sector, suppliers or software before your team hears about them.",[85,93,101],{"vendor_slug":86,"vendor_name":87,"vendor_logo":88,"product_slug":89,"product_name":90,"url":91,"description":92},"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":94,"vendor_name":95,"vendor_logo":96,"product_slug":97,"product_name":98,"url":99,"description":100},"dataminr","Dataminr","\u002Fvendor-logos\u002Fdataminr.png","dataminr-threat-intelligence","Dataminr Threat Intelligence","https:\u002F\u002Fwww.dataminr.com\u002Fproducts\u002Fcyber-defense\u002Fthreat-intelligence\u002F","Real-time alerts on emerging cyber threats, exploited vulnerabilities and attacks relevant to your organisation, detected with AI across a large set of public data sources.",{"vendor_slug":102,"vendor_name":103,"vendor_logo":104,"product_slug":105,"product_name":106,"url":107,"description":108},"crowdstrike","CrowdStrike","\u002Fvendor-logos\u002Fcrowdstrike.png","falcon-adversary-intelligence","Falcon Adversary Intelligence","https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fplatform\u002Fthreat-intelligence\u002F","Threat intelligence on the adversaries CrowdStrike tracks, built into the Falcon platform to detect, disrupt and defend against them.",[],{"slug":111,"title":112,"body":113,"framework_refs":114,"framework_notes":122},"ai-agents-operate-in-the-shadows-as-self-identification-drops-below-3","AI Agents Operate in the Shadows as Self-Identification Drops Below 3%","The vast majority of AI agents traversing business systems fail to identify themselves, making traditional bot detection and access control mechanisms nearly blind to their presence. Because these agents can mimic human behavior or blend into normal traffic, organizations cannot enforce consistent policies around what agents are allowed to do, what data they can access, or when they should be blocked. This creates a significant trust gap: businesses may be granting AI agents the same access privileges as legitimate human users without realizing it. Without proper classification, monitoring, and policy enforcement specifically designed for agentic traffic, companies are exposed to data exfiltration, unauthorized actions, and compliance failures. The emergence of AI agents as a distinct traffic class demands a new layer of identity and access governance beyond what traditional tools provide.",[115,116,117,118,119,120,121],"NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control","CIS Control 5: Account Management","CIS Control 8: Audit Log Management","NIST SP 800-53 SI-2: Flaw Remediation","ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities","GDPR Article 32","NIS2 Article 21(2)(b)",{"GDPR Article 32":123,"NIS2 Article 21(2)(b)":124,"CIS Control 5: Account Management":125,"CIS Control 8: Audit Log Management":126,"NIST SP 800-53 SI-2: Flaw Remediation":127,"ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities":128,"NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control":129},"Unidentified AI agents accessing personal data without proper controls undermine the technical and organizational measures required to ensure appropriate data security, exposing organizations to regulatory risk.","NIS2 requires incident handling and risk management controls that cover all entity types interacting with systems; unmonitored AI agent sessions represent an unmanaged risk vector that falls squarely within this obligation.","AI agents function as non-human identities and must be inventoried, managed, and governed under the same account lifecycle controls applied to human users to prevent unauthorized or untracked access.","Because agents identify themselves less than 3% of the time, robust audit logging of all session activity is essential to detect, investigate, and respond to unauthorized or anomalous agent behavior.","The systemic gap in traditional detection tools represents a known control deficiency that organizations must remediate by deploying purpose-built agent classification and governance capabilities.","The inability to identify and govern AI agent traffic is a technical vulnerability in access control architecture that must be assessed and remediated as part of a formal vulnerability management process.","AI agents operating without identifying themselves cannot be authenticated or granted appropriate access controls; this framework item directly requires that all entities — including non-human ones — be identified and managed before accessing systems."]