This playbook explores six core security challenges organizations face when adopting AI, along with proven, real-world strategies to address them.

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Organizations need secure AI to move their business forward, but controls and guardrails must not require sacrifices in speed or user experience. Netskope can help you say yes to the AI advantage.

Get tips and tricks for transitioning to a cloud-delivered DLP.

Stop playing catch up with your networking architecture

Advanced Analytics transforms the way security operations teams apply data-driven insights to implement better policies. With Advanced Analytics, you can identify trends, zero in on areas of concern and use the data to take action.

Netskope

Insider Threat
AISecOps Agent

Combine every signal, define who to watch, and reduce insider risk with daily insights.

Data sheet

Insider risks checked daily

Analysts identify at-risk users: employees on notice period, or users with new or privileged access. But evidence is scattered, and manual reviews take days.The agent automates monitoring at-risk users every 24 hours, creates evidence-backed insights, and investigates analysts-created cases in minutes.

How Netskope Insider Threat AISecOps Agent helps

Replace manual reviews and scattered alerts with automated daily assessments, evidence-backed insights, and case investigations that turn raw signals into verdicts in minutes.

Zero-effort daily watch

The agent puts your at-risk users under daily watch. Add users, select identity provider (IDP) groups, or upload a CSV. It rechecks the list every 24 hours, so no one needs manual reviews.

One daily insight per user

The agent combines anomalies, data loss [prevention (DLP) incidents, malware, access changes, and app activity into one risk score per user. High scores get a flagged insight. Low scores get logged, not flagged.

Machine-speed investigation

Open a case, and the agent checks every source at once: UEBA, UCI, DLP, malware, and app activity, plus EDR and IDP if connected. You get a verdict and next steps in minutes.

Evidence analysts can defend

Every insight points back to real evidence. Cases live in your existing DLP queue, with the same status and permissions, and can flow to security information and event management (SIEM) and IT service management (ITSM). Close each case with proof.

The agent puts your at-risk users under daily watch. Add users, select identity provider (IDP) groups, or upload a CSV. It rechecks the list every 24 hours, so no one needs manual reviews.

Open a case, and the agent checks every source at once: UEBA, UCI, DLP, malware, and app activity, plus EDR and IDP if connected. You get a verdict and next steps in minutes.

Monitor, Assess, Act

From signal to verdict, the agent automates the labor intensive forensic investigation; the analyst reviews the evidence and decides.

Build the watchlist

Daily assessment

Insight to Case

Verdict in minutes

Build the watchlist

Add users directly, select the designated IDP groups, or upload a CSV file of users.

Daily assessment

Every 24 hours, the agent calculates a combined risk score for each watched user.

Insight to Case

When a user's risk score demands attention, an evidence-backed insight surfaces, and the analyst decides which become cases.

Verdict in minutes

The agent sweeps all sources in parallel and returns a verdict whether a signal is risky, inconclusive, or legitimate in minutes.

Insider Risk Findings

Insider incidents cost more each year and take months to contain, and AI adoption has outpaced the visibility security teams have into how data moves.

$19.5m

average annual cost of insider risk in 2026, up 20% in two years

67 days

average time to contain a single insider incident, down from 86 days in 2023

73%

of organizations worry unauthorized AI use creates invisible data exfiltration paths