Many organizations are actively comparing Cyberhaven competitors to find smarter, faster, and more scalable data protection. With cloud apps, AI tools, and remote endpoints increasing exposure risks, evaluating cybersecurity solutions has become a strategic priority. These modern platforms go beyond traditional monitoring to deliver real-time data visibility, policy enforcement, and compliance automation. Whether you’re securing SaaS, cloud, or GenAI environments, exploring top Cyberhaven competitors will help your team identify solutions that strengthen cybersecurity posture, reduce data loss, and ensure complete compliance coverage in 2025.
Sensitive data lives in Slack, Google Drive, Salesforce, Snowflake, email, browsers, and GenAI tools—expanding the attack surface and heightening breach risk. Regulatory frameworks like GDPR, HIPAA, PCI DSS, and SOC 2 demand provable discovery, policy enforcement, and remediation. A modern DLP solution must protect data everywhere—SaaS, cloud, GenAI, browsers, and endpoints—without slowing teams down.
Organizations often report complex integrations with legacy systems that slow deployments and increase services cost. Pricing can be steep for SMBs because the platform targets large enterprises. Customization may feel limited in highly regulated workflows that need very specific controls. Support can be uneven during critical rollout or troubleshooting windows. Buyers therefore compare alternatives that offer faster setup, richer SaaS/GenAI coverage, inline remediation, and transparent pricing.
Prioritize real-time monitoring and protection, a cloud-native architecture with broad SaaS integrations, granular policies with strong customizability, and easy implementation that scales. Accuracy enhancers like ML/OCR for images and PDFs, plus inline actions (redact, mask, block, encrypt, quarantine) are must-haves to reduce noise and stop leaks immediately.
The Cyberhaven competitors landscape in 2025 is evolving fast. Traditional enterprise DLP vendors like Forcepoint, Symantec, and Proofpoint still dominate legacy environments focused on endpoint and email protection. However, the shift to SaaS, cloud, and GenAI workflows has opened the door for new, modern data protection leaders.
At the front of this new wave is Strac, a unified DSPM + DLP solution built for the way data actually moves today—across SaaS apps, cloud platforms, GenAI tools, and endpoints. Strac detects and remediates sensitive data in real time, automatically redacting, masking, and encrypting PII, PHI, and PCI across Slack, Gmail, Salesforce, Snowflake, and ChatGPT. Its agentless deployment and AI-powered classification make it faster to implement and easier to manage than traditional tools.
Meanwhile, competitors such as Cisco Umbrella and Netskope focus more on network and cloud traffic, providing valuable coverage at the edge but lacking deep, app-native remediation. Each Cyberhaven competitor brings something unique, yet only Strac delivers a complete, modern security posture with real-time protection, simplified compliance, and instant time-to-value across every data surface.
Modern data moves across SaaS, cloud, GenAI, and endpoints. Strac unifies DSPM + DLP to discover and classify sensitive data and then enforce policies with inline remediation.
Key features
Pros
Cons
Conversion assets: Request a demo | Contact Strac
Well-suited for large enterprises that need risk-adaptive controls tied to user behavior.
Key features
Pros: Deep analytics and control breadth.
Cons: Heavier deployment; longer time-to-value.
Combines secure internet access with DNS/SWG enforcement.
Key features
Pros: Strong for distributed workforces at the network edge.
Cons: Less granular, app-native remediation versus SaaS-specialist DLP.
A mature, comprehensive option spanning endpoint, network, and email.
Key features
Pros: Depth across traditional estates and complex workflows.
Cons: Complex to deploy/manage; slower to modern SaaS/AI use cases.
Great when email is the primary exfiltration channel and user coaching is important.
Key features
Pros: Excellent email controls and user education.
Cons: Broader SaaS/GenAI posture may need complements.
CASB/SSE-first approach providing inline controls for cloud and web traffic.
Key features
Pros: Strong for cloud/web traffic control at scale.
Cons: App-native inline remediation may trail SaaS-focused DLP platforms.
A strong fit for organizations standardized on Microsoft 365 that want unified data protection across email, files, Teams, and Windows endpoints.
Key features
Pros: Deep Microsoft 365 integration, centralized policy and labeling, rich compliance mappings.
Cons: Broader non-Microsoft SaaS and GenAI coverage may need additional tools or connectors, mixed environments can add rollout complexity.
Map your riskiest workflows (Slack PHI, Drive PCI, Zendesk PII, Snowflake SSNs, ChatGPT prompts) and compliance mandates.
Favor vendors that connect quickly via OAuth/API and cover SaaS, cloud stores, GenAI, browsers, and endpoints without heavy agents.
Balance price with breadth of coverage and inline remediation. Strac stands out for unifying DSPM + DLP, delivering real-time protection, and offering a fast, agentless rollout that fits both growth companies and enterprises.
The best Cyberhaven alternatives in 2025 include Strac, Nightfall AI, Forcepoint, Proofpoint, and Netskope—but Strac stands apart. Unlike tools that only detect risk, Strac remediates it in real time, redacting, masking, and encrypting sensitive data across Slack, Gmail, Salesforce, and GenAI tools.
It’s agentless, deploys in minutes, and unifies DSPM + DLP to cover SaaS, cloud, and endpoints in one platform. That means faster ROI, broader coverage, and lower operational friction than Cyberhaven’s heavier setup.
Security and IT leaders are switching to Strac because it’s lighter, faster, and smarter. While Cyberhaven focuses mainly on endpoint telemetry, Strac brings full-spectrum SaaS + cloud + GenAI protection without agents or code.
Teams choose Strac for:
With fewer false positives and broader visibility, Strac simplifies data protection while enhancing compliance.
Cyberhaven performs well on endpoints—but modern data lives in SaaS, APIs, and cloud apps. That’s where Strac dominates.
It automatically discovers and classifies data across Google Drive, Salesforce, Slack, Zendesk, AWS, and Snowflake, applying real-time redaction or masking based on content.
Because Strac integrates natively via APIs instead of agents, it scales faster and maintains visibility across distributed workforces—making it the stronger Cyberhaven competitor for SaaS-first organizations.
Most legacy DLP tools—including Cyberhaven—struggle with AI and LLM prompt flows. Strac was designed for this new surface. It integrates directly with ChatGPT, Google Bard, and Microsoft Copilot, scanning and redacting sensitive data from both prompts and outputs in real time.
That means developers and employees can use GenAI safely without leaking PII, PHI, or secrets. In 2025, Strac remains one of the only Cyberhaven competitors providing true AI-native data protection.
For compliance-driven sectors—healthcare, fintech, manufacturing, and SaaS—Strac combines discovery, classification, and automated remediation under one compliance-ready roof. It ships with pre-built templates for GDPR, HIPAA, PCI DSS, and SOC 2, continuously enforcing data policies across every connected app.
Where Cyberhaven stops at detection, Strac auto-remediates violations in real time, ensuring continuous compliance and dramatically reducing audit preparation time.
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