OutThink is an AI-native Human Risk Management (HRM) platform that drives secure employee behavior and reduces human risk, autonomously and at enterprise scale. It closes the secure behavior management gap legacy awareness tools were never built to address, guiding organizations along OutThink's HRM Maturity Model: from reactive compliance training to self-adapting, proactive, and predictive risk management.
OutThink's HRM Maturity Model gives security leaders a way to assess where their program stands and what moving up requires. Level 1, Reactive, is generic training on a calendar with completion dashboards: compliance satisfied, behavior unchanged. Level 2, Self-Adapting, is where behavior change begins, with four jobs running continuously and autonomously across the workforce: Motivate, Educate, Activate, Correct. Level 3, Proactive, quantifies human risk on real behavioral signal and feeds it into SOC, GRC, and access decisions. Level 4, Predictive, drives conditional access and control automation, user self-remediation, and the same behavioral governance for AI agents. The model is sequential: each level builds the data and organizational trust the next depends on.
CORE CAPABILITIES
- Self-adapting AI security awareness training: Training that adapts to every individual on three signals: their role, their motivational drivers, and their actual behavior captured through security stack integrations. Roles are mapped automatically from directory attributes and validated by each user. Policies and risks are fed in so content reflects the organization's own environment, and an AI content studio generates the variations at a scale no team could author by hand. More than 40 languages, WCAG 2.2 compliant, in a choice of content styles.
- An autonomous AI phishing simulator: An always-on engine that sends the right simulation to the right person, adjusting technique, difficulty, and frequency to their behavior over time. Simulations are grounded in social engineering principles researched by OutThink's PhDs at leading universities, so each test probes a specific psychological weakness. When someone clicks, automated root-cause analysis determines why (spoofed URL literacy, authority bias, click speed, email fatigue) and enrolls them in remediation aimed at that vulnerability, rather than one generic module for everyone who failed. False-click detection keeps the reporting defensible.
- A real-time nudging engine: Correction delivered three months later in a quarterly module is not correction. The engine combines live behavioral feeds from EDR, DLP, web filtering, and SIEM with contextual AI and in-flow, presence-aware delivery through Teams and Slack, so the right person gets the right nudge at the moment learning sticks. Includes urgent broadcast alerts for live incidents and for attacks hitting the sector right now.
- CyberQ: A defensible personal cyber-competence score, measured across every relevant security behavior, not phishing alone. Every person can see their CyberQ, understand what moves it, and improve it, with leaderboards, badges, and a monthly summary. Managers get a view of their own teams, which turns thousands of line managers into part of the security team. Where governance is in place with HR, Legal, and employee representatives, CyberQ can feed performance management, so security becomes something the business visibly values.
- A Real-Time Threats Engine: Real phishing that bypassed technical controls and was caught by humans, crowd-sourced across industries and geographies, then assessed with AI, OSINT, and threat intelligence and scored against the NIST Phish Scale. Any threat can become a simulation or a targeted nudge in a click, so people are warned about attacks running against their industry before those attacks reach them. A current, human-caught attack is a fundamentally different test to a static template.
- Human Risk Intelligence: Quantification built on what actually drives risk: real behavior from EDR, DLP, web, email, and identity systems, the attitudes behind it, role and access level, how heavily the person is targeted, device security, and workplace factors such as email fatigue and collaboration networks. Most vendor risk scores are a closed loop of the vendor's own test data, which is why security teams will not use them for access or triage decisions. OutThink's is built to be trusted and consumed by the SOC, IAM, and GRC, and comes with prioritized, evidence-tied recommendations across people, process, and technology, plus a behavioral-psychology lens on where risk clusters and why.
WHO IT IS FOR
Security awareness and HRM leaders who need the program to run itself while producing evidence that stands up. CISOs who need defensible human risk quantification for the board and the regulator. SOC, IAM, and GRC teams who will consume a human risk score they can act on.
Average Rating: 4.8/5.0
Total Reviews: 11
How Do G2 Users Rate OutThink?
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Quality of Support: 10.0/10 (Category avg: 9.4/10)
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Baselining: 9.6/10 (Category avg: 9.0/10)
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Continuous Assessment: 8.8/10 (Category avg: 9.2/10)
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Interactive Training: 9.2/10 (Category avg: 9.1/10)
Who Is the Company Behind OutThink?
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Seller: OutThink
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Year Founded: 2015
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HQ Location: London, United Kingdom
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LinkedIn® Page: www.linkedin.com
69 employees on LinkedIn®
Who Uses This Product?
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Company Size: 27% Medium, 18% Large
What Do G2 Reviewers Say About OutThink?
AI-generated summary from verified user reviews
Pros
- Users appreciate the ease of use of OutThink, seamlessly integrating into workflows without disrupting their daily routines.
- Users appreciate the easy setup of OutThink, allowing for a seamless integration into their workflows and routines.
- Users value the easy implementation of OutThink, which integrates seamlessly into workflows without disrupting productivity.
- Users appreciate the easy integrations of OutThink, allowing seamless workflow integration without disrupting daily tasks.
- Users value the engaging content from OutThink, enhancing training with gamification and realistic, role-based scenarios.
Cons
- Users are frustrated by the lack of integration options, specifically with popular platforms like Slack.
- Users wish OutThink had more language options to improve accessibility and usability for a wider audience.
- Users find the onboarding process complex, though the customer support team provides valuable assistance.
- Users feel the platform could offer more interactive training modules to enhance engagement and learning effectiveness.
