When an incident fires, your team has seconds to determine whether it's noise or a real threat. Human Risk Index scores give your analysts instant behavioral context on every user involved. so you triage faster, escalate smarter, and investigate with confidence.
Living Security connects your existing security stack signals to individual risk profiles, surfacing the patterns your SIEM can see but can't explain.
The SOC has more signal than ever, and less context than it needs. When every alert looks the same, prioritization becomes guesswork. Human risk context changes that.
Your SIEM fires on activity. It can't tell you if the user triggering the alert has a history of risky behavior, failed three phishing simulations last month, or just got flagged by DLP.
Behavioral changes that precede insider incidents — unusual access patterns, data movement, identity anomalies — are scattered across tools that don't talk to each other.
By the time a ticket lands in your queue, the damage is often done. You need a way to see elevated risk before it becomes an incident, not after.
Most security stacks can detect anomalous activity. Very few can explain why an individual is risky — or predict who will be next.
Relying on traditional training to address AI-augmented social engineering is a critical misstep. The threat landscape has shifted. Your HRM program needs to shift with it.
AI agents now operate with user-level access inside your environment. Without visibility into their behavior, they're a blind spot in your SOC.
Living Security doesn't replace your SIEM or EDR. It gives every tool and every analyst the behavioral context to make better decisions faster.
Human Risk Index scores give analysts instant context on every user involved — behavioral history, risk trajectory, and prior incidents — before they touch the keyboard.
Correlated signals from identity, DLP, email, and training data surface behavioral patterns that individual tools miss entirely.
A full behavioral timeline per user shows how risk built up over time, giving investigators the context to establish intent, scope, and root cause faster.
AI-ranked risk scores and anomaly alerts point your hunters to the highest-risk individuals before behavior escalates to an incident.
Shared risk dashboards let SOC and awareness teams coordinate. SOC identifies the risk, SA&T deploys the targeted intervention, both track the outcome.
Risk reduction trends and intervention timelines give SOC leaders the data to demonstrate a shift from reactive to proactive security operations.
Behavioral context, correlated signals, and automated response — built to work alongside the tools you already run.
*Representative of popular integrations. Living Security supports 300+ signal sources.
Walk through how Living Security surfaces behavioral risk to your SOC team — before incidents happen, and during investigations.
