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Join Living Security in NYC!

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Join us at IL Fiorista on Monday, February 23rd for a small executive dinner with a hand-picked group of local security leaders. The evening is designed for a candid, off-the-record conversation about how peers are thinking through security decisions today.

This private dinner offers a window into how security leaders are approaching those conversations — from refining mature programs to re-evaluating long-held assumptions about what deserves focus and how success is measured.

The goal is to give you visibility into how others are framing decisions, responding to leadership questions, and adapting their strategies as expectations and scrutiny continue to rise.

RSVP for February 23rd with Living Security
The data-driven risk visibility helped us see where the risk lies within months, doubling our HRI score, significantly improving phishing vigilance, and automating workflows.
HRM Program Manager
Southwest Energy & Utilities Provider
After gaining clear insight into risky behaviors across our business and empowering teams with targeted interventions we were able to shift from awareness to action, improving security outcomes.
Director of Business Continuity
Midwest Healthcare Organization
By combining interactive learning and data-driven insights, we strengthened user participation and built a more informed, vigilant workforce prepared to confront real-world threats.
Security Awareness Program Manager
SaaS & Services Company

Predict with precision

Anticipate humans and AI agent risk with a platform that ingests and contextualizes data from across your tech stack — analyzing 200+ real-world signals to reveal risk trajectories early, so your team can act before incidents happen.

Predict with precision

Anticipate humans and AI agent risk with a platform that ingests and contextualizes data from across your tech stack — analyzing 200+ real-world signals to reveal risk trajectories early, so your team can act before incidents happen.

Predict with precision

Anticipate humans and AI agent risk with a platform that ingests and contextualizes data from across your tech stack — analyzing 200+ real-world signals to reveal risk trajectories early, so your team can act before incidents happen.