53Verified suppliers
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The challenge
Your organization faces an uphill battle safeguarding sensitive data in today’s decentralized, cloud-native environments. Hybrid work, unstructured data growth, and GenAI adoption introduce new risks. Traditional perimeter-based security is no longer sufficient. Data breaches are increasingly frequent and costly, often stemming from human error or malicious insiders. Without a comprehensive DLP strategy, your organization risks financial losses, reputational damage, and regulatory penalties. Modern DLP provides the intelligent ecosystem needed to identify, monitor, and protect your critical data.
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68%
of breaches involve a human element
181 days
average time to identify a data breach
$10M
average cost of a data breach in the U.S.
The solution
DLP addresses your unique challenges through modern solutions and key capabilities.
Unified visibility and control
Protects data at rest, in motion, and in use. A single policy engine governs all channels, ensuring consistent data protection across web, email, and endpoints.
Risk-adaptive protection (RAP)
Uses AI to adjust security thresholds based on real-time risk scores. Enables dynamic policy changes based on user behavior and context, reducing false positives.
Data lineage and behavioral analytics
Tracks data origins, modifications, and usage patterns. Correlates identity, access, and activity to distinguish between routine processes and emerging risks.
Governance for generative AI and shadow IT
Provides specific controls for GenAI interactions. Monitors data pasted into AI prompts and prevents sharing sensitive data with unauthorized LLMs.
High-precision detection
Employs advanced techniques like EDM, IDM, and OCR. Reduces false positives and improves accuracy in identifying sensitive data within various content types.
Integration with identity stack
Leverages IAM systems for least privilege enforcement. Dynamically adjusts access based on user roles and status, enhancing data security posture.
See how DLP suppliers stack up
Our Palomarr Insights chart shows the full landscape of DLP solutions.
- See how companies stack up against each other
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- Compare 53 suppliers
How to evaluate DLP
1
Deployment and performance
Consider cloud-native, on-premises, or hybrid models. Verify agent stealth and tamper resistance to ensure effectiveness.
2
Integration with identity stack
Ensure seamless integration with IAM systems. A solution that dynamically adjusts access based on user role is superior.
3
Total cost of ownership (TCO)
Calculate hidden costs such as administrative overhead and professional services. Consider infrastructure needs for logs and scanning.
4
Scalability for unstructured data
Ensure the solution handles unstructured content effectively. AI classification helps manage the explosion of data without manual tagging.
Questions to ask suppliers
Use these questions during supplier evaluations to ensure you're choosing the right partner for your needs.
DLP RFP guide- Can you demonstrate immediate visibility into sensitive data flows within 24 hours of installation?
- How does your solution handle Shadow AI exfiltration when employees use unmanaged, encrypted web sessions?
- What is the average false positive rate for your out-of-the-box policies, and how do you tune them?
- What is the performance impact on endpoint CPU and memory during deep content inspection?