Zscaler DLP Alternatives

The Nightfall Team

July 20, 2026

15 min read

Zscaler DLP operates as part of the broader Zero Trust Exchange platform, providing multimode data loss prevention through inline traffic inspection, out-of-band SaaS API scanning, endpoint controls, email protection, and AI-application security. Even so, inline proxy architectures can require traffic-forwarding, TLS-inspection, certificate, privacy, and application-compatibility planning when securing data across modern SaaS applications, AI tools, and endpoints. For security teams navigating AI-driven data movement, selecting a purpose-built AI data security platform can help organizations gain real-time visibility and control over sensitive data while weighing the deployment, licensing, and operational requirements of each enforcement mode. This guide examines seven alternatives that serve different data security needs in 2026, starting with Nightfall AI, the control platform for AI data that delivers protection across humans and AI agents. For a direct feature comparison, see Nightfall vs Zscaler DLP.

Key Takeaways

• API-native architecture reduces deployment bottlenecks: API-native platforms like Nightfall can connect a first SaaS application or endpoint in about 10 minutes and reach broader SaaS coverage in under an hour.
• AI-powered detection reduces false positives: Nightfall reports 90%-95% precision across its machine-learning-powered detector library out of the box.
• Data-at-rest coverage complements inline inspection: An inline proxy component inspects data in motion, while direct API integrations can scan data already stored in supported SaaS applications.
• GenAI protection should be evaluated by application and access mode: Platforms offering comprehensive AI application coverage span more surfaces than solutions limited to a single application.
• Remediation depth varies by vendor and deployment: Platforms that enable in-app actions like quarantine, revoke, and redact can deliver immediate risk reduction.

1. Nightfall AI

Nightfall AI delivers an AI data security platform that governs data movement across humans and AI agents in real time. Key highlights include:

• Deployment: Nightfall states that customers can connect a first SaaS application or endpoint in about 10 minutes.
• Detection: Nightfall reports 90%-95% precision across its ML detector library for PII, PHI, secrets, credentials, and financial data.
• Control: Depending on the selected plan, integration, and enforcement surface, enable actions like block, coach, redact, delete, revoke access, quarantine, and encrypt.
• Investigation: Access AI-native investigation through Nyx, which provides natural-language incident insights.

Documented Results

• Nightfall reports a 90% reduction in false positives for organizations switching from legacy DLP.
• Nightfall states that it has been ranked #1 among DLP products.

Comprehensive Coverage

Nightfall provides protection across the surfaces where sensitive data actually moves:

• SaaS Applications: Real-time and historical protection across supported SaaS and email applications.
• GenAI Tools: Purpose-built coverage for ChatGPT, Claude, Copilot, and Gemini with prompt-level redaction.
• AI Agent Security: MCP security covering local stdio and remote HTTP workflows.
• Endpoints: Single agent covering human and AI/MCP traffic across multiple vectors.

What Makes Nightfall Unique

• One Detection Brain: The same AI-native detection engine operates across SaaS, endpoints, AI agents, and MCP workflows.
• Data Lineage: Tracks the sensitive data journey across SaaS, endpoints, and unmanaged devices.
• Human Firewall: Real-time in-app guidance empowers users to self-remediate.

2. Strac

Strac offers a modern cloud-native DLP platform emphasizing unified coverage across SaaS, cloud infrastructure, endpoints, and GenAI applications.

• Key Features: ML-based detection with support for integrations, real remediation actions, and MCP DLP coverage.

3. Microsoft Purview DLP

Microsoft Purview DLP provides data loss prevention capabilities deeply integrated within the Microsoft 365 ecosystem.

• Core Capabilities: Native integration across applications, trainable classifiers for custom data types, and information protection controls.

4. Netskope DLP

Netskope delivers DLP capabilities combined with cloud access security broker (CASB) and secure web gateway (SWG) functionality.

• Platform Scope: Inline and API-based inspection options along with cloud-native architecture.

5. Forcepoint DLP

Forcepoint DLP offers enterprise data loss prevention with risk-adaptive protection capabilities.

• Key Features: Risk-adaptive protection adjusting controls based on behavior, incident management, and pre-built policy templates for compliance.

6. Symantec DLP (Broadcom)

Symantec DLP provides comprehensive data loss prevention for large-scale enterprise deployments.

• Core Capabilities: Network, endpoint, and storage DLP with incident response workflows.

7. Proofpoint DLP

Proofpoint combines email DLP and Adaptive Email DLP with enterprise data-loss-prevention controls.

• Platform Features: Email DLP, user behavior analytics, and advisory data-security services.

Why Nightfall AI Stands Out for Modern Data Security

Nightfall is built for governing both human and AI agent activity through one detection engine. It offers:

• AI-Native Detection Accuracy: Machine-learning and LLM-powered classification operating at 90%-95% precision.
• Complete Coverage for Data Movement: Governs both human and AI agent data flows across every surface.
• Deployment Speed That Enables Business: Connection of a first application in about 10 minutes.
• Enforcement Actions, Not Just Alerts: Supports actions like block, coach, or delete in real time.
• Total Cost of Ownership: Reports a 10x lower total cost of ownership.
• Data Minimization and Access Controls: Minimizes personal data required to operate its platform.