Funds Gathered by Fable Security: Innovative Human Risk Management Solution Achieves $31 Million Investment
Fable Security, a pioneering human risk management platform, has secured $31 million in funding from Greylock Partners and Redpoint Ventures. The platform is designed to mitigate human risk in cybersecurity by shaping employee behavior through AI-driven, data-informed interventions.
The platform's unique approach addresses the biggest vulnerability in cybersecurity—risky human behavior—which traditional training programs often fail to adequately solve, especially in the face of rising AI-driven scams and sophisticated social engineering attacks.
Human Behavior Index and AI-Powered Interventions
At the heart of Fable Security is the Human Behavior Index, a proprietary framework that synthesizes thousands of real-time signals from various systems. This deep data analysis pinpoints risky behaviors such as poor security hygiene, data exposure, susceptibility to social engineering, and policy non-compliance.
To combat these risks, Fable deploys highly targeted, AI-generated interventions. These interventions, delivered directly in the communication channels employees use daily (e.g., Slack and email), are context-aware and timed to moments of heightened risk. They are tailored to each employee’s role, access level, and behavior, moving beyond generic, one-size-fits-all training.
A Shift from Training to Behavior Change
Saam Motamedi, General Partner at Greylock Partners, believes Fable is the first company to throw out the playbook of an ineffective security awareness training category and is building what modern security teams need: visibility into human risk, tools to change behavior, and AI that moves at the speed of attackers.
Arvin Bansal, a veteran Fortune 100 CISO, praises Fable for addressing the vulnerability of the human layer in security by reshaping human behavior with real-time, intelligent interventions. He also acknowledges the co-founders, Nicole Jiang and Dr. Sanny Liao, for their distinguished track record of building innovative behavioral AI security products.
Real-World Results
Cyrus Tibbs, CISO at Pennymac, observed a 13x faster behavior change during an A/B test after deploying a personalized Fable intervention. The platform has also reportedly reduced phishing clicks by over 85% and PII exposures by 60% for its clients.
Fable Security's AI-driven, context-aware interventions are applied across Slack, email, and other platforms, enhancing employee engagement while providing modern security teams with the tools they need to change human behavior.
Since its launch, Fable Security has protected clients such as Pennymac, Genesys, and the DNC, offering visibility into human risk and enabling enterprises to reduce risky employee behaviors at scale, improve security hygiene, increase compliance, and build lasting organizational resilience that evolves with the changing threat landscape.
[1] Fable Security. (n.d.). Retrieved from https://www.fable.ai/ [2] Arvin Bansal. (n.d.). LinkedIn. Retrieved from https://www.linkedin.com/in/arvinbansal/ [3] Saam Motamedi. (n.d.). LinkedIn. Retrieved from https://www.linkedin.com/in/saammotamedi/ [4] Greylock Partners. (n.d.). Retrieved from https://www.greylock.com/ [5] Redpoint Ventures. (n.d.). Retrieved from https://redpoint.com/
Fable Security's business strategy, supported by $31 million in funding from Greylock Partners and Redpoint Ventures, focuses on addressing the vulnerability of human behavior in cybersecurity, a challenge that traditional training programs often struggle to solve. To achieve this, Fable plans to utilize technology, such as artificial intelligence, to develop data-informed interventions that can be delivered directly to employees, thereby mitigating risks like poor security hygiene, social engineering susceptibility, and policy non-compliance.
By shifting the focus from traditional security awareness training to real-time, intelligent behavior change, Fable aims to provide modern security teams with the tools they need to combat the growing threat of AI-driven scams and sophisticated social engineering attacks, ultimately enhancing employee engagement, improving security hygiene, and building lasting organizational resilience in the face of evolving cybersecurity risks.
