Why Teams Choose Cyberhaven Over Symantec DLP
Top 3 Reasons
Symantec DLP was built for a pre-AI era, when data security meant checking boxes for compliance. Today, in the age of AI and accelerated innovation, insider threats are more dynamic – and the data at risk is far more valuable. Cyberhaven is the only solution that tracks data movement with full context to protect what matters now: source code, product plans, customer records, training data, and more.
1
Data Lineage For Context-Based Protection
Cyberhaven tracks where data originated, how it moved, and who interacted with it – providing context that Symantec can’t. This allows teams to create more precise policies and detect risk even when content doesn’t match traditional patterns.
2
Lower Operational Overhead
Cyberhaven is SaaS-based with a lightweight agent, enabling organizations to deploy in hours – not weeks. Teams avoid the complexity of Symantec’s heavyweight infrastructure, which often requires professional services and long rollout timelines.
3
Resolve Incidents Faster with Linea AI
With Cyberhaven, investigations that used to take hours now take minutes. Linea AI summarizes every insider risk incident in plain language, showing what happened and why it matters – instantly.
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Schedule a Demo"Cyberhaven gave us the visibility and control we couldn’t get with Symantec, even after years of tuning"
"-Director of Security, Global SaaS Company"
Detailed Comparison
Feature Comparison
As of March 2025
What Cyberhaven Has
Cyberhaven + Purview
Symantec DLP
Data Classification
Classifies based on content and context: origin, movement, users, and interactions. Tracks where data came from, where it went, and how it was used.
Classifies based only on content (regex, dictionaries, keywords). No awareness of where data came from or how it was used.
Comprehensive Data Lineage
Tracks the full lifecycle of data, including origin, interactions, modifications, and derivative works.
Lacks data lineage capabilities; relies only on isolated content inspection.
Policy Coverage
Covers both data-in-motion and data-in-use. Enforces policy based on context like source system or file lineage.
Primarily focused on data-in-motion. Relies on perimeter-based detection and content triggers.
Incident Response
Built-in timeline view of incidents using data lineage. Analysts see the full chain of events leading to an incident – no log stitching.
Manual investigation across tools and logs. No inherent timeline view or unified investigation workflow.
Deployment Speed
Fast time to value – SaaS-based with lightweight agent. Deploys in hours.
Complex, legacy architecture with heavy infrastructure and services requirements. Deployments take weeks or months.
Policy Management
Real-time updates, flexible policy creation with lineage filters.
Policies are fragile and hard to test. Policy updates may require waiting for re-indexing or re-scanning.
Modern Data Protection
Protects source code, designs, training data, customer records – not just PCI/PII.
Built for regulated data like PCI and PII. Blind to newer forms of sensitive intellectual property.
