AISecOps
Give your data security analysts their time back.
AISecOps is a portfolio of purpose-built AI agents that turn raw, scattered signals into decision-ready action across your security workflows. Today the portfolio includes two agents: the DLP AISecOps Agent, which watches data leaving your organization, and the Insider Threat AISecOps Agent, which watches user behavior and risk.
DLP AISecOps Agent
Every day, security teams drown in DLP alerts scattered across cloud, web, email, and endpoints. Most are noise. The few that matter get buried — and by the time someone finds them, the window to act has closed.
The Netskope DLP AISecOps Agent changes that. It turns raw, fragmented signals into a single, prioritized, decision-ready case — automatically. And thereby helping your SecOps and DLP teams triage, investigate & respond to DLP related Risks with speed and confidence.
How it works
The agent runs every incident through five stages, from first signal to resolved case:
- Signal Ingestion — Collects millions of DLP signals across cloud, web, email, and endpoints, eliminating blind spots.
- Analysis & Clustering — Filters out the noise and groups related incidents into a single case, centered on the users, data, applications, or devices involved.
- Enrichment — Automatically adds context: identity, application, device, and data — so analysts start with the full picture, not a blank slate.
- Investigation — Delivers a clear verdict and risk score based on business context, with a suggested next step.The agent automatically investigates the collected context and produces the risk score and verdict — analysts start from a completed assessment, not an empty queue.
- Response — Analysts act directly from the AISecOps console to revoke sharing, mute benign activity, or escalate — all without leaving the workflow. The agent also integrates with existing systems like ServiceNow (ITSM), pushing cases and syncing status directly into the tools your team already uses
The result: fewer dashboards, less manual triage, shorter MTTR.
Insider Threat AISecOps Agent
Where the DLP AISecOps Agent focuses on data leaving your organization, the Insider Threat AISecOps Agent focuses on the people. Running on a daily schedule, it automatically ranks every user in your tenant by risk, queues investigations for the highest-risk users, and produces a per-user report — risk verdict, behavioral anomalies, data-loss exposure, malware indicators, an activity timeline, and recommended actions — all on a single page instead of scattered across dashboards.
Any investigated user can be escalated to a full AISecOps case in one click, folding straight into the same case pipeline as DLP — same assignment, comments, status, and ITSM ticketing.
Supported Integrations
- Slack — powers the manager approval workflow (approvals fall back to email if not connected)
- ServiceNow (ITSM) — creates and syncs tickets for high-risk cases, with ticket ID/status tracked back in the case
- Jira (ITSM, Beta) — same bidirectional case-to-ticket sync as ServiceNow; tenants use one or the other
- Microsoft Entra ID — provisions identity attributes (manager, department, org, hire date) used during investigations
- Microsoft Purview (Beta) — ingests DLP policy violation signals via the M365 Management Activity API
- Outbound Webhooks — pushes signed case and investigation events to customer HTTP endpoints; native presets for Splunk, Chronicle, Sentinel, Teams, PagerDuty, Opsgenie, Datadog, and more
- EDR (Insider Threat Agent) — CrowdStrike Falcon, SentinelOne Singularity, Microsoft Defender for Endpoint; one, two, or all three simultaneously
Getting started
Onboarding and activation happen through the Netskope Marketplace — the in-tenant catalog where you can see every AI agent available to your organization, check your capacity and usage, and activate AISecOps when you’re ready. → Marketplace onboarding guide
Using the product — once AISecOps is active, all how-to guidance, workflows, and feature detail live directly inside the product, kept current with what’s actually in your tenant. → Open

