Living Security unveils AI platform to reduce workforce threats
Living Security has previewed an AI-native Human Risk Management (HRM) platform designed to anticipate and prevent workforce threats before they occur.
According to the company, the new platform uses the industry's largest dataset, compiled over five years, analysing more than 200 identity, behavioural, and threat signals to identify the minority of users responsible for the majority of workforce risk. Living Security stated that around 10% of users account for 73% of risk, and that their new solution aims to intelligently predict and mitigate both human and AI agent risks, whilst also recognising users who actively contribute to a secure environment.
The system provides security teams with recommendations based on explainable Artificial Intelligence (AI). It can act autonomously to address routine issues, reducing workforce exposure to threats and delivering, as Living Security describes, a clear return on investment for both security and business leaders. The platform is also built to promote a culture of trust and shared responsibility by acknowledging the 78% of users who are identified as reducing risk through secure behaviour.
Mike Siegel, President at Living Security, said, "Traditional tools treat everyone like a potential threat. We take a risk-focused view: support the few who need help, and celebrate the majority who get it right."
Risk reduction approach
Living Security stated that the platform combines predictive analytics, explainable AI, and autonomous action to deliver proactive prevention rather than simple detection. It predicts emerging risks across human users and AI agents, enabling security teams to intervene early where necessary. The platform is powered by Livvy, an intelligent AI companion that supplies clear, evidence-based recommendations with their supporting reasoning and additional contextual guidance. Routine tasks, such as triggered coaching sessions or policy enforcement activities, are automated, streamlining remediation by 60% to 80% so analysts can dedicate time to higher-impact issues.
"Security teams don't need more alerts. They need intelligence that explains, recommends, and acts," said Ashley Rose, CEO of Living Security. "By automating routine interventions and surfacing what matters, our platform is designed to not only lower the barrier to HRM adoption and accelerate time to value, but also empower security teams to focus on what moves the needle, driving measurable workforce risk reduction at scale."
Data-driven outcomes
The platform leverages a proprietary dataset drawn from hundreds of organisations and billions of real-world interactions. Living Security cited validation from the Cyentia Institute, outlining measurable outcomes such as a 50% reduction in risky users over 12 months (from 43 per cent to 21%), remediation that is achieved 60% thereby lowering the period of heightened risk, as well as a 98% reduction in data-loss exposure among high-risk users. The company notes a 92% user satisfaction rating, attributing this to a workplace culture that rewards secure behaviour.
Workforce and AI agents
As organisations increasingly deploy AI agents alongside human employees, Living Security characterised its approach as a move towards Workforce Risk Management, aiming to secure all workforce participants under a unified security model. Ashley Rose commented on this shift, stating, "The workforce has expanded beyond people. We're applying the same predictive intelligence and autonomous action to AI agents that we've proven with human users, setting a new standard for securing the workforce in the AI era."
Next steps
Living Security said it will begin onboarding early adopters to the platform in a limited beta starting January 2026, with the system intended to help global enterprises address workforce risk by providing data-driven guidance and automated actions to reduce vulnerabilities from both human and AI sources.
