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Insider risk management

Insider risk, seen early.And caught in action.

Find the people whose behavior, access and context point toward an insider incident before it happens. Catch risky actions as they happen. Then act across your security stack, with a person approving what matters.

Security teams at

  • Unilever
  • Northwestern Mutual
  • Merck
  • Lockheed Martin
  • Ford
  • Target

The problem

Most insider risk starts as a mistake or a moment. And the people carrying it keep changing.

A careless share, a resignation, access nobody took back, an account someone else is using. Each one shows up in a tool you already own, and people move in and out of risk as they change roles, gain access or resign. A watch list exported last quarter misses the person who resigned last week.

98%

The riskiest 10% of users accounted for 98% of data loss risk.The Moving Target: 2026 State of Human Risk report

2 in 3

Of this year's riskiest 10% are new faces who weren't on last year's list.The Moving Target: 2026 State of Human Risk report

74.8%

Of risky behavior traces to the riskiest 10% of the workforce.The Moving Target: 2026 State of Human Risk report

Proactive · see it building

See who is heading toward an insider incident, and why.

Living Security joins behavior, access and context for each person. A resignation means little alone. Add a privileged role, a bulk download above the person's own baseline and a blocked upload to personal cloud storage, and you are watching a sequence toward data exfiltration, at step two instead of after step three.

  • Cohorts such as departing employees with privileged access.
  • Levels in words. Elevated, High, with the facts behind each one.
Signals by risk domainData handlingIdentity and accessEndpoint and deviceWeb, cloud and SaaS

In action · catch it as it happens

When a risky action lands, the response is already written.

A sensitive upload to an unapproved destination flagged by your DLP. An access attempt outside the person's role. Each becomes a signal the moment it lands, joins what Living Security already knows about that person, and matches a playbook. The response fires within the approval rules you set.

  1. Signal

    The action lands

    On the person, with their notice period and role beside it.

  2. Match

    A playbook matches

    Watch list, ticket and manager notice run on their own.

  3. Approve

    A person approves

    Identity changes wait for your team. Every action is logged.

Orchestrate controls across your stack

Signals in. Controls out.To the tools your team already runs.

Dynamic watch lists of people and cohorts go to your SIEM, SOAR, DLP and insider risk tools. Triggers fire through webhooks and APIs to your SOAR, tickets open in ServiceNow or Jira, and identity actions such as a group change run in Okta or Entra.

Livvy proposes, a person approves

Decide once what runs on its own. Livvy, our AI security analyst, proposes each response with the reasons; your team approves, edits or declines it, and every action is logged.

Easy · a nudgeMedium · a manager noticeHard · an identity change

Bring your last insider case to a demo. We'll show you when it would have surfaced.

Privacy, fairness and fit

Fair to your people. Built on the tools you own.

Observable facts, no labels

Every reason is a fact someone can check. Levels are words your team can act on, never a label that blames a person.

A person approves

Livvy explains each reason and proposes. Sensitive actions wait for your team, and every action is logged.

Role-based, US or EU

People see only what their role allows. Your data stays in the United States or the European Union.

No new endpoint agent

It uses the signals your security and HR tools already produce, and sends actions back to them.

Act on the few. Watch the risk go down.

68%

Less time in a risky state after targeted action.2026 Human Risk Report

25–30%

Drop in the share of risky users in the first six months.2026 Human Risk Report

Leader

Named Leader in the Forrester Wave™: Human Risk Management Solutions, Q3 2024.

Insider risk management, answered.

What is insider risk management?

Insider risk management finds and reduces the chance that people with legitimate access, such as employees, contractors and partners, cause a data loss or security incident, by mistake, under pressure or on purpose. Living Security joins behavior, access and context for each person from the tools you already run, catches risky actions as they happen, and acts with playbooks a person approves.

How is this different from UEBA or DLP?

DLP watches data and UEBA watches activity for anomalies. Living Security works at the level of the person: it joins signals from your DLP and other security tools with identity and HR context, explains in facts why someone is heading toward an incident, and acts on it with coaching, notices, tickets and identity changes. It consumes those tools' signals and sends watch lists and triggers back to them.

Can you catch insider threats in action?

Yes. When a tool you own flags a risky action, such as a sensitive upload to an unapproved destination or an access attempt outside a person's role, it becomes a signal the moment it lands. If it matches a playbook, the response fires within the approval rules you set: some actions run on their own, and sensitive ones wait for a person.

What do you send to my SIEM or SOAR?

Dynamic watch lists of people and cohorts, kept current as signals land, and triggers and webhooks when a playbook fires. Each carries the level in words, the reasons as facts and the playbook. Tickets go to ServiceNow or Jira, identity actions to Okta or Entra, and notices to managers in Slack or Teams.

Is it fair to employees?

Living Security shows observable facts and explains every reason, with no ranking of people and no labels that blame anyone. Most insider risk is a mistake, so the first response is usually a nudge or a short module. Access is role-based, a person approves sensitive actions, every action is logged, and your data stays in the US or the EU.

See it building.Catch it in action.

Find who is heading toward an insider incident, catch risky actions as they happen, and send the response across your stack.

Book a demo