Above is an insider threat detection platform that uses agentic AI to identify and investigate insider risks across an organization's digital environment. Rather than relying on static rules or anomaly detection alone, Above builds behavioral narratives over time by correlating signals across multiple platforms and systems to understand user intent. The platform is organized around a set of specialized AI agents, each focused on a distinct class of insider threat: - Shadow AI & IT Agent: Monitors SaaS usage, clipboard activity, OAuth connections, and browser extensions to surface unauthorized tool usage and behavioral risk. - Data Exfiltration Agent: Connects behavioral signals, permissions, and communication context to detect both accidental and malicious data exfiltration attempts without disrupting legitimate work. - Flight Risk Agent: Tracks indicators of employee departure intent, such as job-search activity, sudden behavioral shifts, and access pattern changes, to identify credible data theft risk before an employee leaves. - Inappropriate Use Agent: Detects everyday policy misuse as it occurs and responds with corrective guidance rather than punitive blocking. - Communications Agent: Performs sentiment analysis across collaboration tools, correlating tone and conversational patterns with behavioral signals to surface communication-based risk. Above positions itself as distinct from traditional DLP, CASB, SIEM/SOAR, UEBA, and access management tools by focusing on continuous behavioral reasoning and intent analysis rather than alert-based detection. Investigations are presented as human-readable narratives, providing security teams with context rather than raw alerts. The platform targets enterprise security teams dealing with insider risk scenarios including mergers and acquisitions, employee offboarding, and ongoing data protection.