[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fkuOHfbLzUSrop61_7MySKMpdEMYOwrEJEeuy1eLbXss":3},{"article":4,"iocs":40,"watch_terms":41,"solutions":42,"lesson":131},{"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":27},"a4334827-9a0c-4169-b675-2386849a11c3","Could an Email You Never Read Hijack Your AI Assistant?","could-an-email-you-never-read-hijack-your-ai-assistant-9c2234","Cybersecurity awareness has traditionally focused on teaching people not to click suspicious links, open unexpected attachments or hand over their credentials. However, the growing use of an AI assistant inside workplace email systems is creating an attack surface that does not always depend on fooling a person. Research from KnowBe4 ThreatLabs has demonstrated how an […] The post Could an Email You Never Read Hijack Your AI Assistant? appeared first on IT Security Guru.","A new attack vector has been identified where AI assistants integrated into workplace email systems can be exploited without requiring any user interaction, such as clicking links or opening attachments. Research from KnowBe4 ThreatLabs demonstrates that these AI tools, designed to enhance productivity, can be manipulated to execute malicious actions, expanding the traditional email-based attack surface.","New research shows AI assistants in email can be hijacked without user interaction.","https:\u002F\u002Fwww.itsecurityguru.org\u002F2026\u002F09\u002F17\u002Fcould-an-email-you-never-read-hijack-your-ai-assistant\u002F?utm_source=rss&utm_medium=rss&utm_campaign=could-an-email-you-never-read-hijack-your-ai-assistant",null,"2026-09-17T12:31:54+00:00","2026-09-17T14:00:11.199651+00:00",7,[17,20],{"name":18,"type":19},"AI assistant","product",{"name":21,"type":22},"KnowBe4","vendor","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":23,"icon":12,"name":25,"slug":26},"AI Security","ai-security",[28,33,35],{"category":29},{"id":30,"icon":12,"name":31,"slug":32},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":34},{"id":23,"icon":12,"name":25,"slug":26},{"category":36},{"id":37,"icon":12,"name":38,"slug":39},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[21,18],{"controls":43,"vendors":127},[44,72,101],{"slug":26,"name":45,"problem":46,"products":47},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[48,56,64],{"vendor_slug":49,"vendor_name":50,"vendor_logo":51,"product_slug":52,"product_name":53,"url":54,"description":55},"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":57,"vendor_name":58,"vendor_logo":59,"product_slug":60,"product_name":61,"url":62,"description":63},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","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.",{"vendor_slug":65,"vendor_name":66,"vendor_logo":67,"product_slug":68,"product_name":69,"url":70,"description":71},"cisco","Cisco","\u002Fvendor-logos\u002Fcisco.png","ai-defense","Cisco AI Defense","https:\u002F\u002Fwww.cisco.com\u002Fsite\u002Fus\u002Fen\u002Fproducts\u002Fsecurity\u002Fai-defense\u002Findex.html","Discovery of AI use, testing of models and guardrails for AI applications.",{"slug":73,"name":74,"problem":75,"products":76},"email-security","Email security","Phishing, malware and invoice fraud are filtered out before they reach inboxes.",[77,85,93],{"vendor_slug":78,"vendor_name":79,"vendor_logo":80,"product_slug":81,"product_name":82,"url":83,"description":84},"check-point","Check Point","\u002Fvendor-logos\u002Fcheck-point.png","harmony-email","Harmony Email & Collaboration","https:\u002F\u002Fwww.checkpoint.com\u002Fharmony\u002Femail-security\u002F","Email and collaboration security for Microsoft 365 and Google Workspace.",{"vendor_slug":86,"vendor_name":87,"vendor_logo":88,"product_slug":89,"product_name":90,"url":91,"description":92},"cloudflare","Cloudflare","\u002Fvendor-logos\u002Fcloudflare.png","cloudflare-email-security","Cloudflare Email Security","https:\u002F\u002Fwww.cloudflare.com\u002Fsase\u002Fproducts\u002Femail-security\u002F","Email filtering for phishing and business email compromise.",{"vendor_slug":94,"vendor_name":95,"vendor_logo":96,"product_slug":97,"product_name":98,"url":99,"description":100},"darktrace","Darktrace","\u002Fvendor-logos\u002Fdarktrace.png","darktrace-email","Darktrace \u002F EMAIL","https:\u002F\u002Fwww.darktrace.com\u002Fproducts\u002Femail","Email security that flags messages deviating from normal communication patterns.",{"slug":102,"name":103,"problem":104,"products":105},"security-awareness-training","Security awareness training and phishing simulation","People recognise and report attacks instead of falling for them.",[106,114,121],{"vendor_slug":107,"vendor_name":108,"vendor_logo":109,"product_slug":110,"product_name":111,"url":112,"description":113},"huntress","Huntress","\u002Fvendor-logos\u002Fhuntress.png","managed-sat","Huntress Managed Security Awareness Training","https:\u002F\u002Fwww.huntress.com\u002Fplatform\u002Fsecurity-awareness-training","Security awareness training and phishing simulation, managed for you.",{"vendor_slug":115,"vendor_name":116,"vendor_logo":117,"product_slug":115,"product_name":118,"url":119,"description":120},"sosafe","SoSafe","\u002Fvendor-logos\u002Fsosafe.png","SoSafe Awareness Platform","https:\u002F\u002Fsosafe-awareness.com\u002F","Behaviour-based awareness training and phishing simulation in many languages.",{"vendor_slug":122,"vendor_name":21,"vendor_logo":123,"product_slug":102,"product_name":124,"url":125,"description":126},"knowbe4","\u002Fvendor-logos\u002Fknowbe4.png","KnowBe4 Security Awareness Training","https:\u002F\u002Fwww.knowbe4.com\u002Fproducts\u002Fsecurity-awareness-training","Training library and simulated phishing with reporting.",[128],{"slug":122,"name":21,"logo_path":123,"roles":129},[130],"reported_by",{"slug":132,"title":133,"body":134,"framework_refs":135,"framework_notes":147},"ai-email-assistants-open-zero-interaction-attack-surface","AI Email Assistants Open Zero-Interaction Attack Surface","AI assistants embedded in workplace email platforms introduce a new class of threat where malicious instructions hidden within emails can manipulate the AI into performing unauthorized actions — all without the user ever clicking a link or opening an attachment. This 'prompt injection' attack exploits the AI's ability to process and act on natural language, effectively turning a productivity tool into an unwitting attacker proxy. The danger is compounded because traditional security awareness training (e.g., 'don't click suspicious links') offers no protection against an attack that requires zero user interaction. As AI agents gain broader permissions to read, compose, forward, and manage data, the blast radius of a successful attack grows significantly. Organizations must treat AI integrations as privileged systems requiring the same rigorous controls as any other high-risk access point.",[136,137,138,139,140,141,142,143,144,145,146],"CIS Control 3: Data Protection","CIS Control 5: Account Management (Least Privilege)","CIS Control 8: Audit Log Management","NIST SP 800-53 AC-6: Least Privilege","NIST SP 800-53 SI-10: Information Input Validation","NIST SP 800-53 AU-2: Event Logging","NIST AI RMF: GOVERN 1.1, MAP 2.3 (AI Risk Identification)","NIST SP 800-218A: Secure Software Development for AI","GDPR Article 25: Data Protection by Design and by Default","GDPR Article 32: Security of Processing","OWASP LLM Top 10: LLM01 - Prompt Injection",{"CIS Control 3: Data Protection":148,"NIST SP 800-53 AU-2: Event Logging":149,"CIS Control 8: Audit Log Management":150,"NIST SP 800-53 AC-6: Least Privilege":151,"GDPR Article 32: Security of Processing":152,"OWASP LLM Top 10: LLM01 - Prompt Injection":153,"NIST SP 800-53 SI-10: Information Input Validation":154,"CIS Control 5: Account Management (Least Privilege)":155,"NIST SP 800-218A: Secure Software Development for AI":156,"GDPR Article 25: Data Protection by Design and by Default":157,"NIST AI RMF: GOVERN 1.1, MAP 2.3 (AI Risk Identification)":158},"Limiting which mailbox data the AI assistant can read and send reduces what a hidden prompt injection can exfiltrate.","Logging AI assistant actions provides the evidence needed to investigate zero-click prompt injection through email.","Logging the assistant's actions, such as sending or forwarding mail, helps detect activity triggered by malicious hidden instructions.","Least privilege for the AI assistant restricts the damage when an email manipulates it into acting without the user's knowledge.","Appropriate security for mailbox personal data includes controls that stop AI assistants leaking it on injected instructions.","This is prompt injection: hidden instructions in emails manipulate the AI assistant into actions the user never requested.","Treating email content as untrusted input, and separating it from instructions, is the validation principle prompt injection defeats.","Giving the email assistant only the permissions it needs limits the unauthorised actions an injected instruction can trigger.","Secure AI development practices include designing assistants to resist instructions hidden in the content they process.","Data protection by design means assistants should not be able to disclose mailbox data based on instructions from external senders.","AI risk policies and risk identification should cover prompt injection through email before assistants are given access to act on mailboxes."]