Omni DLP
One AI brain. Zero noise.
DLP, finally working.
Your team of 3.
Operating like a team of 30.
Automate the tedious work. Get actionable summaries and policy recommendations tested for you.
What used to take days now takes minutes.
Every alert pre-analyzed and ready to act on
Stop chasing false positives. Get prioritized, trustworthy alerts with the contextual analysis teams need to see the full picture of insider risk. Move from investigation to enforcement in minutes.
Policies, ready when you need them
Don’t miss critical data exfiltration. Policies write, test, and tune themselves, closing coverage gaps as new behavior patterns emerge. Protection adapts and strengthens over time without manual maintenance.
See it at rest, stop it in motion
Turn deep datastore classification and identity insight into early prevention before data moves across email, cloud, and AI. DSPM and DLP, working together.
One platform to secure AI - from data to identity to action
At rest, in motion, and in use.
The most intelligent data security control plane
One AI brain to reduce all DLP noise and toil
See every non-human identity. Govern what it can reach.
Secure everything agents can see and do
Hands-free data risk reduction and continuous compliance
End-to-end management of the Cyera platform
Expert-led data breach response support
FAQs
Data loss prevention (DLP) is a set of technical controls designed to prevent sensitive data from being misused, exposed, or exfiltrated. It monitors how sensitive data is accessed, shared, or transferred across data at rest, data in motion, and data in use, and applies actions - such as alerting, blocking, or logging - based on defined policies. DLP helps reduce the risk of data loss that can lead to regulatory violations, financial impact, or loss of trust, while protecting proprietary data and personally identifiable information (PII).
Traditional DLP evaluates activity within individual enforcement points - such as email, endpoints, or web gateways - using static rules and isolated context. This often results in inconsistent decisions, high false positives, and constant policy tuning as data usage evolves.
Omni DLP introduces centralized, AI-driven decision intelligence by correlating signals across channels and enriching them with data sensitivity, access, and business risk context. This allows teams to prioritize incidents based on real risk, reduce alert noise, and focus investigations on what matters most.
No. Omni DLP is designed to sit above your existing architecture, providing centralized decisioning and prioritization. Teams continue using their current DLP controls while Omni improves consistency across them without changing enforcement points or workflows.
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