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Detects compromised accounts or insider threats by recognizing deviations from established user sending behavior.","intents":["Detect when a user account is sending emails to unusual recipients","Identify bulk email campaigns from compromised accounts","Catch insider threats exfiltrating data via email","Recognize sending behavior that deviates from user norms"],"best_for":["Enterprise security teams","Organizations concerned about data exfiltration","Companies with high-risk user populations"],"limitations":["May generate false positives for users with changing roles","Requires sufficient historical sending data for comparison","Cannot distinguish between legitimate business changes and compromise"],"requires":["Historical email sending data","User communication patterns","Recipient relationship information"],"input_types":["email sender information","recipient addresses","sending frequency and timing","email volume data"],"output_types":["anomaly alerts","sending pattern reports","risk scores"],"categories":["security","email protection","threat-detection"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abnormal-security__cap_6","uri":"capability://security.sophisticated.phishing.detection.beyond.signatures","name":"sophisticated-phishing-detection-beyond-signatures","description":"Uses behavioral AI and advanced analysis to detect phishing emails that evade traditional signature-based detection methods. Identifies zero-day phishing attempts, polymorphic attacks, and sophisticated social engineering that rule-based systems miss.","intents":["Block phishing emails that bypass signature-based detection","Detect zero-day phishing attacks with no known signatures","Identify sophisticated social engineering attempts","Catch polymorphic phishing campaigns that change to evade rules"],"best_for":["Enterprise security teams","Organizations targeted by sophisticated attackers","Companies needing detection beyond traditional methods"],"limitations":["May miss highly targeted spear-phishing with legitimate context","Requires behavioral data to be effective","Cannot guarantee 100% detection of novel attacks"],"requires":["Email system integration","Behavioral baseline data","Machine learning models"],"input_types":["email content","sender reputation","URL and link characteristics","email structure and formatting"],"output_types":["phishing detection alerts","risk assessments","quarantine actions"],"categories":["security","email protection","threat-detection"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abnormal-security__cap_7","uri":"capability://security.account.takeover.prevention","name":"account-takeover-prevention","description":"Prevents unauthorized access to email accounts by detecting when credentials have been compromised and accounts are being used by attackers. 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