Omni DLP
Omni DLP is an AI-native data loss prevention platform developed by Cyera, launched in April 2025.
Publisher review
Omni DLP is an AI-native data loss prevention platform developed by Cyera, launched in April 2025. It is designed for enterprise security teams that need to protect sensitive data across endpoints, networks, email, messaging, and cloud environments, especially as AI tools and agents accelerate data movement. The platform combines Cyera's existing AI-native Data Security Posture Management (DSPM) with a real-time DLP analysis engine acquired from Trail Security, creating a unified architecture that monitors data at rest, in motion, and in use. It targets organizations frustrated with legacy DLP tools that generate excessive false positives and lack context-aware protection.
Omni DLP uses AI to reduce false positive alerts by up to 95%, focusing security teams on the most critical threats. Its real-time, adaptive protection automatically detects unique data patterns and prevents exfiltration without relying on static rules. The platform includes deep AI governance to control data used in AI tools and prompts, preventing exposure through LLMs and copilots. Policies are auto-built and self-tuning, evolving with data usage patterns. A 360-degree view correlates and enriches all DLP risks, alerts, and policies across environments, leveraging AI for contextual analysis. The system is built to handle data flows from AI agents and copilots, addressing a gap in legacy tools.
Omni DLP competes directly with Cyberhaven, CrowdStrike Falcon Data Protection, GTB Technologies DLP, Spirion, Teramind, Trellix Data Loss Prevention, Nightfall, and Safetica. Its key differentiator is the integration of DSPM with real-time DLP, enabling it to understand data context and adapt policies automatically, whereas competitors often rely on static rules or separate modules. Cyera claims this resets the DLP category by moving from thousands of noisy alerts to a handful of credible ones. The platform is trusted by enterprises including Paramount, ACV, and Finance of America, as listed on Cyera's website.
Honest trade-offs include the lack of publicly available pricing, which makes cost comparison difficult. As a new product launched in 2025, it has a limited track record compared to established players like Trellix or CrowdStrike. The AI-driven approach may require more initial tuning for organizations with highly specialized or non-standard data types. Additionally, while it excels at stopping accidental disclosures, it may be less effective against sophisticated threat actors using advanced exfiltration techniques, a common limitation noted in DLP tools generally.
How it works
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AI-Powered Noise Reduction
Eliminates over 95% of false positive alerts using AI behavioral analysis, letting teams focus on the few most critical threats.
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Real-Time Adaptive Protection
Automatically detects unique data patterns and prevents exfiltration in real time, adapting to changing data usage without static rules.
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Deep AI Governance
Controls data used in AI tools, prompts, and copilots, preventing sensitive data exposure through LLMs and AI agents.
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360 View of DLP Risks
Unifies endpoint, network, email, messaging, and cloud DLP risks, alerts, and policies in a single AI-enriched dashboard.
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Policies That Learn
Auto-builds and tunes policies that evolve with data usage patterns, reducing manual policy management overhead.
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Unified DSPM and DLP
Combines AI-native Data Security Posture Management with a real-time DLP engine from the Trail Security acquisition for unified protection.
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AI-Native Classification
Automatically classifies sensitive data using AI, providing context-driven visibility and protection across data at rest, in motion, and in use.
Strengths and trade-offs
Strengths
- Cuts false positive alerts by up to 95% using AI-powered behavioral analysis, dramatically reducing alert fatigue for security teams.
- Integrates Data Security Posture Management with real-time DLP in a single architecture, eliminating the need for separate tools.
- Auto-builds and self-tunes policies that evolve with data usage, reducing manual policy management overhead by adapting to changing data patterns.
- Provides deep AI governance to control data exposure through LLMs, AI agents, and copilots, addressing a critical gap in legacy DLP tools.
Trade-offs
- Pricing is not publicly disclosed, making it difficult for organizations to compare costs against competitors without engaging sales.
- As a product launched in April 2025, it has a limited track record and fewer real-world deployment case studies compared to mature DLP vendors.
- The AI-driven approach may require initial tuning for organizations with highly specialized or non-standard data types, potentially increasing setup time.
- Like most DLP tools, it is more effective at stopping accidental disclosures than preventing sophisticated threat actors from exfiltrating data, as noted in industry discussions.
Pricing context
Not publicly disclosed; organizations must contact Cyera sales for pricing.
Getting started with Omni DLP
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Sign up for Omni DLP
Visit the Cyera website and request a demo or trial of Omni DLP. Provide your enterprise contact details and describe your data protection needs. A sales representative will guide you through the onboarding process and provide access credentials.
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Connect your data sources
Integrate Omni DLP with your endpoints, network gateways, email servers, messaging platforms, and cloud environments. Use the provided connectors or APIs to establish secure connections. Ensure the platform can monitor data at rest, in motion, and in use across all selected sources.
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Configure AI-driven policies
Let Omni DLP auto-build initial policies based on your data patterns. Review the suggested policies in the dashboard and adjust sensitivity levels for specialized data types if needed. Enable self-tuning to allow policies to evolve automatically as data usage changes.
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Review the first alert
After setup, monitor the unified dashboard for the first DLP alert. Examine the AI-enriched context provided, including the data pattern, user activity, and risk score. Use this insight to validate the policy's effectiveness and reduce false positives.
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Schedule regular policy reviews
Set a recurring schedule to review policy performance and alert trends in the Omni DLP dashboard. Adjust governance rules for AI tools and copilots as new use cases emerge. Leverage the 360-degree view to correlate risks across environments and refine protection continuously.
Frequently Asked Questions
What is Omni DLP and how does it work?
Omni DLP is an AI-native data loss prevention platform from Cyera, launched in April 2025. It combines Data Security Posture Management with a real-time DLP engine to monitor data at rest, in motion, and in use across endpoints, networks, and cloud environments.
How does Omni DLP reduce false positive alerts?
Omni DLP uses AI behavioral analysis to cut false positive alerts by up to 95%. This lets security teams focus on the most critical threats instead of sifting through thousands of noisy alerts common with legacy DLP tools.
What is the difference between Omni DLP and legacy DLP tools?
Omni DLP integrates DSPM with real-time DLP in a single architecture, using AI to auto-build and self-tune policies. Legacy tools often rely on static rules and separate modules, leading to more false positives and less context-aware protection.
Does Omni DLP provide AI governance for LLMs and copilots?
Yes, Omni DLP includes deep AI governance to control data used in AI tools, prompts, and copilots. This prevents sensitive data exposure through large language models and AI agents, addressing a critical gap in legacy DLP solutions.
What are the main weaknesses of Omni DLP?
Omni DLP's pricing is not publicly disclosed, making cost comparison difficult. As a product launched in April 2025, it has a limited track record. The AI-driven approach may need initial tuning for specialized data types, and it is more effective against accidental disclosures than sophisticated exfiltration.
How much does Omni DLP cost?
Omni DLP pricing is not publicly available. Organizations must contact Cyera sales directly for a quote. This lack of transparency makes it challenging to compare costs with competitors like CrowdStrike or Trellix without engaging in a sales process.
Alternatives
How Omni DLP compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Omni DLP
- Pricing
- Not publicly disclosed; organizations must contact Cyera sales for pricing.
- Target
- Omni DLP is an AI-native data loss prevention platform developed by Cyera, launched in April 2025.
- Strength
- Cuts false positive alerts by up to 95% using AI-powered behavioral analysis, dramatically reducing alert fatigue for security teams.
- Watch for
- Pricing is not publicly disclosed, making it difficult for organizations to compare costs against competitors without engaging sales.
Nightfall AI
- Pricing
- Starts at $4/user/month per third-party sources; quote-based on vendor site.
- Target
- SaaS-first teams needing fast API-based deployment.
- Deployment
- Cloud-native, API-based.
- Strength
- ML detectors for SaaS apps, dev tools, and collaboration platforms.
- Watch for
- Limited UEBA and forensic visibility compared to endpoint-centric DLP.
Microsoft Purview DLP
- Pricing
- Purview Suite add-on starts at $12/user/month; M365 E5 is $57/user/month.
- Target
- Microsoft 365-centric organizations needing native DLP.
- Deployment
- Cloud-native for Microsoft ecosystem.
- Strength
- Native coverage across Exchange, OneDrive, SharePoint, and Teams.
- Watch for
- Lock-in to Microsoft ecosystem; complex policy management at scale.
Symantec DLP (Broadcom)
- Pricing
- Quote-based; public pricing varies by reseller.
- Target
- Large enterprises with dedicated DLP teams.
- Deployment
- Typically on-prem, hybrid options.
- Strength
- Mature, legacy enterprise suite with deep policy controls.
- Watch for
- High complexity and cost; Broadcom acquisition led to slower innovation.
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Sources
Reporting on this tool draws on these publicly available sources.