Ten agent workflows for the Security team — automated banking trojan detection, ATM malware monitoring, vendor security assessment, third-party risk management, dark web intelligence, insider threat web indicators, DDoS infrastructure tracking, API security monitoring, supply chain attack detection, and incident response intelligence — providing comprehensive domain-level cybersecurity signals for banking.
AI agent monitors the threat landscape for banking trojans by tracking malware distribution domains, command-and-control infrastructure, and credential harvesting campaigns specifically targeting financial institution customers and systems.
AI agent monitors for ATM-targeting malware campaigns by tracking malware marketplace domains, ATM vendor security advisories, and underground forums selling ATM jackpotting tools and techniques targeting financial institution infrastructure.
AI agent assesses vendor cybersecurity posture by analyzing security pages, compliance certifications, incident history, and vulnerability disclosures across critical third-party vendor domains to support ongoing vendor risk management.
AI agent performs continuous third-party risk monitoring by tracking vendor domain health, operational changes, financial stability signals, and security posture evolution across the bank's entire vendor ecosystem.
AI agent monitors dark web marketplaces and underground forums via clearnet proxy domains and mirror sites to detect threats targeting the bank — including stolen credentials, internal documents, and planned attacks being discussed or sold.
AI agent identifies potential insider threat indicators by monitoring employee-linked web activities, corporate data appearing on unauthorized domains, and web-based exfiltration channel detection that may indicate malicious insider activity.
AI agent tracks distributed denial-of-service attack infrastructure by monitoring DDoS-for-hire services, botnet command servers, and attack amplification domains to provide early warning of potential DDoS campaigns targeting banking systems.
AI agent monitors the bank's API ecosystem security by tracking partner developer domains, API abuse patterns, and vulnerability disclosures in API frameworks and libraries used in the bank's digital banking infrastructure.
AI agent monitors for supply chain attacks targeting the bank's technology stack by tracking software vendor domains, open-source project websites, and code repository domains for compromise indicators, backdoor insertions, and dependency hijacking.
AI agent enriches incident response by providing real-time web intelligence during security incidents — identifying threat actor infrastructure, mapping attack scope via domain analysis, and monitoring attacker communications to support containment and remediation.
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