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AI human risk management software protects organizations from the "human layer" of cybersecurity risk — the fact that employees, not systems, are the easiest entry point for attackers. It automates security-awareness training and phishing/deepfake simulations, continuously testing staff with AI-generated attacks (fake emails, cloned voices, synthetic video) that mirror real social-engineering tactics. Rather than static annual modules, these platforms run always-on, personalized coaching that adapts to each employee's behavior. Because content generation, simulation, and scoring are all automated, security teams get continuous risk visibility without dedicating headcount to manual campaigns — making robust training feasible even for lean IT/security teams at mid-market companies.
Organizations face a growing volume of sophisticated social engineering attacks that exploit human psychology rather than technical vulnerabilities, making traditional perimeter defenses insufficient. Security teams struggle to manually monitor the scale and variety of channels through which employees are targeted, including email, messaging platforms, and video communications. Deepfakes and AI-generated impersonations have made it increasingly difficult for employees to distinguish authentic communications from fraudulent ones. This category addresses the gap between technical security controls and human vulnerability, reducing the risk of credential theft, financial fraud, and data breaches that originate through employee manipulation, while relieving security teams of the burden of manual threat detection at scale.
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by Nisos
Ascend is Nisos' AI-powered Human Risk Management Platform that delivers analyst tradecraft directly to client teams, enabling client-led risk assessments, continuous threat monitoring, and at-a-glance visibility across human risk exposures including executive protection and insider threats.

by SoSafe
An integrated human risk management platform that unifies SoSafe's security offerings to help security teams identify, quantify, monitor, and intervene on human security risk at scale, using behavioural sensors, a real-time risk scoring index, and an automated intervention hub.

by Fraus
A cloud-based, AI-driven platform that continuously monitors risky employee behaviors, launches autonomous phishing simulations, and delivers personalized micro-learning to reduce human risk without heavy manual effort from security teams.

by Living Security
An AI-native Human Risk Management platform that ingests and correlates 300+ behavioral, identity, and threat signals to generate dynamic Human Risk Index scores, automate remediation playbooks, and deliver measurable reductions in risky user behavior across employees, contractors, and AI agents.

by CybSafe
A science-backed security awareness and behavior change platform that delivers personalized training, on-demand guidance, behavior goals, and compliance reporting to help employees make better security decisions.

by Doppel
An AI-native platform that measures and reduces employee susceptibility to social engineering by combining multi-channel attack simulations (email, voice, SMS, Microsoft Teams, Zoom, messaging apps), threat-informed security awareness training, phishing triage, behavioral risk scoring, and personalized coaching — all informed by live attacker intelligence from Doppel's Threat Graph.

by OutThink
An architecture-first, AI-native Human Risk Management platform that unifies phishing simulation, adaptive security awareness training, real-time threat detection, nudging, and human risk scoring into a single intelligence layer to prevent human-initiated security incidents at enterprise scale.