Eliminating DLP False Positive Noise: How Strac’s AI Agent Supercharges Symantec DLP

Symantec Data Loss Prevention (DLP) is a robust enterprise solution designed to discover, monitor, and protect sensitive information across endpoints, networks, and cloud environments. However, one of the most significant challenges security teams face with Symantec DLP is the overwhelming volume of false positive alerts. These false positives consume valuable SOC analyst time, leading to alert fatigue and reduced efficiency.

The False Positive Problem in Symantec DLP

Symantec DLP policies are built around pattern-based and rule-based detections, often triggering alerts based on predefined data formats such as credit card numbers, Social Security numbers, and other sensitive identifiers. However, this approach leads to a high rate of false positives due to:

• Lack of Context: Traditional DLP policies struggle to differentiate between real data leaks and legitimate business activities that match sensitive data patterns.
• OCR and Image-Based Detection Issues: Symantec DLP scans images and PDFs, but misinterpretations can result in false positives.
• Ambiguity in User Actions: Business communications often involve sensitive terms that may not indicate an actual data security violation.
• Manual Verification Overload: Every incident must be manually reviewed, causing delays in investigating true security threats.

The Hidden Cost of False Positives

A typical enterprise DLP deployment generates thousands of alerts daily, with SOC analysts spending minutes to hours manually reviewing each one. This leads to:

• Wasted Analyst Time: Manual investigation of false positives can account for 50-70% of a SOC team's workload.
• Delayed Response to Real Threats: High alert volume can cause genuine security breaches to go unnoticed.
• Operational Fatigue: Continuous review of irrelevant alerts reduces team efficiency and increases burnout.

How Strac AI Agent Solves the DLP False Positive Problem

Strac’s AI-powered agent dramatically reduces false positives in Symantec DLP without disrupting existing workflows. Instead of forcing analysts to sift through noisy alerts, Strac applies cutting-edge AI and contextual analysis to:

1. Automated AI-Based Triaging

Strac AI automatically reviews each DLP alert, distinguishing between true and false positives using:

• Contextual Understanding: Analyzes sender/receiver information, domain reputation, and historical incident data.
• AI-Driven Pattern Matching: Goes beyond regex-based detection to evaluate the actual risk of each alert.
• OCR-Enhanced Validation: Ensures image-based detections are accurate by extracting meaningful context from scanned documents.

2. SOC Analyst Time Reduction

By filtering out false positives, Strac AI significantly reduces manual verification efforts, allowing analysts to:

• Prioritize high-risk incidents immediately.
• Reduce false positives by 70-90%, reclaiming valuable time.
• Improve incident response speed and SOC efficiency.

3. Seamless Integration with Symantec DLP

Strac AI works natively within the Symantec DLP ecosystem, leveraging API-driven automation to:

• Analyze incidents in real-time as they appear in the Symantec Enforce Console.
• Tag alerts with risk scores to enable bulk triaging and automation.
• Auto-resolve known false positives, reducing manual intervention.

Why This Matters for Security Teams

Operational Efficiency Boost

SOC teams spend less time on false positives and more on real threats, improving response times and effectiveness.

Enhanced Security Posture

By focusing on legitimate data security risks, organizations improve their ability to prevent actual data breaches.

Significant Cost Savings

Reducing manual triage by thousands of hours annually translates into lower operational costs and improved SOC productivity.

Conclusion: A Smarter DLP Strategy with Strac

Symantec DLP is a powerful tool, but false positives can hinder its full potential. By integrating Strac’s AI agent, organizations can eliminate unnecessary noise, streamline SOC workflows, and enhance data security outcomes.

If your security team is drowning in false positives and struggling to keep up with DLP alerts, Strac’s AI-driven approach offers the fastest path to efficiency. Let Strac optimize your DLP strategy so you can focus on stopping real threats, not chasing false alarms.