Cyera grew fast in the cloud DSPM category, and credibly so — discovery and classification across AWS, Azure, GCP, and Snowflake is where Cyera earned its reputation. The reasons enterprises start evaluating alternatives in 2026 are consistent:
If any of those line items matter to you, you are not the wrong buyer for Cyera — you simply need a platform whose scope is broader than DSPM.
Before evaluating individual vendors, set the criteria. The 2026 buying frame:
1. Discovery and classification across SaaS, cloud, endpoint, and AI agents. Cloud-only DSPM was the 2022 frame. In 2026 the riskiest data flows are in SaaS apps and AI agents.
2. Active remediation, not just findings. Redact, mask, tombstone, quarantine, vault. A finding without remediation is a Jira ticket that won't close.
3. SaaS-native integrations with real-time inspection. Slack DLP, Gmail DLP, Google Drive DLP, Office 365 DLP, Zendesk DLP, Intercom DLP, and so on. See the full integrations list.
4. AI agent and MCP protection. Discovery and redaction at the MCP tool-call layer across the SaaS apps AI agents actually touch.
5. Image, screenshot, and PDF inspection (OCR). Sensitive data hides inside images and image-based PDFs. The platform has to OCR them and detect data inside.
6. Endpoint and browser coverage. Mac, Windows, Linux. Chrome and Edge extensions for GenAI use cases.
7. Compliance evidence pre-built. SOC 2, HIPAA, PCI DSS, ISO 27001, CCPA, GDPR, and the EU AI Act. Audit-ready output, not just a CSV export.
8. Under-10-minute time-to-value. If onboarding takes a quarter, the platform is too heavy.
9. Per-tool-call audit feed. Especially important for AI agents — every retrieval has to be loggable, attributable, and exportable to your SIEM and GRC stack.
10. Real customer outcomes. Not logos on a marketing page — published case studies, public G2 reviews, and ROI metrics.
Strac is the AI-native data security platform that combines DSPM, SaaS DLP, endpoint DLP, GenAI browser DLP, and MCP DLP for AI agents into a single control plane. Where Cyera is a cloud-first DSPM, Strac is a full-stack data security platform: discovery, classification, and remediation across every surface modern data actually moves through.
What Strac does that Cyera doesn't emphasize:
Strac's coverage at a glance:
Where Strac wins specifically vs Cyera: Strac performs active remediation at the SaaS and AI agent layer. Cyera's strongest play is cloud DSPM discovery and risk scoring. The two platforms answer different questions. For most enterprises in 2026, "what is happening to our sensitive data right now, in Slack, Gmail, and AI agents" is the higher-priority question — which is the question Strac is built to answer.
BigID is one of the heritage names in data discovery. The platform is broad: data classification, privacy, deletion workflows, and DSPM. BigID has been deployed at very large enterprises and has strong coverage of structured and unstructured cloud data stores.
Strengths: enterprise breadth, deep privacy/PII feature set, broad data-store coverage, an extensive partner ecosystem.
Where Strac is a stronger Cyera alternative than BigID: BigID is a discovery-and-classification platform first. Active remediation across SaaS apps (Slack, Gmail, Salesforce) and AI agents (MCP) is not BigID's strong suit. BigID's enterprise scope often comes with a multi-quarter rollout. Strac's SaaS DLP plus MCP DLP gives a faster path to actual data protection for orgs that need remediation, not just inventory.
Varonis built its name on file-share data access governance and Microsoft 365 visibility. Strong fit for organizations whose primary problem is "who has access to what" inside Windows file shares, SharePoint, and OneDrive. See Varonis alternatives for the deeper breakdown.
Strengths: deep AD/file-share permission analytics, strong M365 coverage, mature platform.
Where Strac is a stronger Cyera alternative than Varonis: Varonis's center of gravity is the on-premises and Microsoft-centric world. For 2026 enterprises whose data lives across Slack, Salesforce, HubSpot, Notion, AWS, Snowflake, and M365, the breadth is on Strac's side. Strac also ships GenAI browser, endpoint, and MCP DLP — capabilities Varonis is still building out.
Securiti is a credible cross-over between data privacy operations (DSR fulfillment, consent management, ROPA) and DSPM. Strong fit for orgs whose data privacy team is leading the buy.
Strengths: privacy workflow automation, broad regulatory coverage, DSPM features.
Where Strac is a stronger Cyera alternative than Securiti: Same Cyera-style gap — privacy workflows and DSPM are not the same as inline SaaS remediation, and the AI agent / MCP angle is light. Strac covers the day-to-day data protection plane while still producing the compliance evidence privacy teams need.
Symmetry Systems focuses on the who has access to what data problem with an identity-data graph. Strong fit for orgs where identity is the lens (think AWS IAM-heavy environments).
Strengths: identity-data correlation, strong AWS/Azure cloud coverage.
Where Strac is a stronger Cyera alternative than Symmetry: Symmetry is a DSPM tool. Same scope question as Cyera. Strac extends past discovery into real-time SaaS and AI agent enforcement.
Normalyze (acquired by Proofpoint) is a strong cloud-native DSPM offering, popular with AWS/Azure/GCP-centric enterprises. Post-acquisition, it sits inside Proofpoint's broader security portfolio.
Strengths: deep cloud DSPM, integration with Proofpoint's email and DLP stack.
Where Strac is a stronger Cyera alternative than Normalyze: Normalyze is cloud DSPM-first. Strac covers cloud DSPM plus the SaaS DLP, endpoint, browser, and MCP layers — the surfaces where the day-to-day data actually moves.
Sentra positions as a cloud-native DSPM with strong autonomous classification. Good fit for cloud-first orgs whose biggest data risk is sprawl across AWS/Azure/GCP buckets and databases.
Strengths: cloud-native architecture, agentless cloud discovery.
Where Strac is a stronger Cyera alternative than Sentra: Sentra is a cloud DSPM. Strac unifies cloud DSPM with SaaS DLP and AI agent (MCP) coverage in one platform, which most 2026 buyers ask for.
Dig Security was acquired by Palo Alto Networks and is being integrated into Prisma Cloud. Strong fit if your org is already standardized on Palo Alto for the broader security stack.
Strengths: cloud DSPM, alignment with Prisma Cloud and the broader Palo Alto portfolio.
Where Strac is a stronger Cyera alternative than Dig: For non-Palo-Alto enterprises, integrating a DSPM that lives inside another vendor's stack adds friction. Strac is purpose-built for fast deployment without a parent-platform commitment, and adds the SaaS DLP and MCP layers Dig doesn't focus on.
Wiz is the dominant CNAPP, and Wiz Data Security adds DSPM features inside the same platform. Strong fit for orgs already standardized on Wiz for cloud security.
Strengths: tight integration with Wiz CSPM/CNAPP, cloud-only data discovery.
Where Strac is a stronger Cyera alternative than Wiz Data Security: Wiz's DSPM is cloud-data focused — strong for AWS/Azure/GCP, light on the SaaS and AI agent surfaces. Strac is purpose-built for the SaaS-and-AI-heavy stack.
Microsoft Purview is the default for organizations deeply standardized on Microsoft 365 and Azure. Strong fit if your data security perimeter is M365 + Azure and you don't need to extend further. See Microsoft Purview alternatives for the full breakdown.
Strengths: native M365 integration, tight Azure coverage, included in many enterprise Microsoft agreements.
Where Strac is a stronger Cyera alternative than Purview: Purview struggles with non-Microsoft SaaS (Slack, Salesforce, HubSpot, Notion, Jira), and Purview's AI agent / MCP story is not yet shipping. Strac protects the heterogeneous SaaS stack every modern company actually runs.
This is where most evaluations end up. The honest framing:
Cyera is a credible cloud DSPM. Strac is a broader data security platform. For most 2026 enterprises asking "is my SaaS, AI agent, browser, endpoint, and cloud data safe?" — the answer requires the broader scope.
MCP — the Model Context Protocol — is the new AI data leak vector. AI agents using MCP read directly from your SaaS apps and feed the data into model context windows. Most DSPM and DLP tools were built before MCP existed and have no visibility into tool-call payloads. See MCP security for the full risk landscape.
Strac is among the few platforms shipping MCP DLP integrations today. Each one wraps the official MCP server with Strac's redaction engine: PII, PHI, PCI, secrets, and source code get masked before they ever reach the model context.
The Claude Cowork BAA gap is the single most under-discussed MCP security issue right now. Anthropic does not currently offer a Business Associate Agreement (BAA) for Claude consumer or Claude Cowork plans — the plans most knowledge workers use. Any healthcare organization running Cowork on real patient data is technically out of HIPAA compliance the moment PHI crosses into a chat. Strac's MCP DLP sits between Claude and your SaaS data, redacting PHI before the model sees it. See Is Claude HIPAA compliant? for the full vendor breakdown.
ChatGPT Enterprise, Microsoft 365 Copilot, and Gemini for Workspace all offer BAAs under their respective enterprise programs. But a BAA only covers the model provider's processing. It does not stop the model from receiving sensitive data the org never wanted exposed — API keys pasted into prompts, PHI in tickets retrieved via MCP, source code attached to "summarize this" requests. The data-layer gap is the same regardless of vendor. Strac's MCP DLP enforces policy at the data layer.
Strac's detectors are built on custom ML models trained on PII, PHI, PCI, and confidential data — not just regex. Three reasons this matters when you compare Cyera alternatives:
A Cyera alternative is only useful if your auditor can sign off on it. Strac ships pre-built mappings for:
Audit evidence exports directly to most GRC platforms, so the evidence is ready for an auditor without a custom integration.
If you are comparing Cyera against another DSPM-only competitor, the comparison usually comes down to "which discovery engine is better?" That is a fair frame — but it's incomplete. The full 2026 frame is:
The point is not that DSPM is bad — it is necessary. The point is that DSPM alone leaves most of the 2026 data security perimeter unprotected.
Strac runs in production at UiPath, Databricks, and dozens of other fast-growing enterprises. Public customer reviews are on G2. The pattern in reviews is consistent: short deployment, immediate value on the first redaction, and a fast cadence of new SaaS integrations as customer environments expand.
Three buyer profiles. Self-classify and the answer falls out.
Profile A: "Our data is mostly in S3 / Snowflake / Azure Blob. We need to know where the PII is." Cyera is a credible choice. So are Normalyze, Sentra, Wiz Data Security, and Symmetry Systems. Strac also covers this surface and adds active remediation if you ever want to extend beyond discovery.
Profile B: "Our data lives in Slack, Gmail, Salesforce, Notion, M365, and a handful of cloud stores. We need active DLP plus compliance evidence." This is the Strac sweet spot. The 50+ SaaS integrations, OCR-grade detectors, inline remediation, and pre-built compliance mapping is the shortest path to "compliant, audited, and provably protected." Cyera and the cloud-DSPM alternatives will struggle to match the SaaS DLP coverage.
Profile C: "We are deploying AI agents (Claude, ChatGPT, Cursor, Copilot, Gemini) and we are scared about MCP." Strac is currently the most direct answer. The 14 SaaS MCP DLP integrations, the Claude Cowork BAA workaround, and the per-tool-call audit feed are explicitly designed for this. Cyera and most alternatives do not yet ship an MCP DLP product.
Cyera is a good cloud DSPM. The reason teams look for an alternative is that DSPM is one layer of a broader data security problem — and in 2026 the riskier layers are SaaS, AI agents, browsers, and endpoints. Strac is built for the broader scope: discovery, classification, and remediation across every surface modern data moves through, with pre-built compliance evidence and under-10-minute deployment.
See Strac in action — book a demo →
Cyera is a data security platform best known for cloud-native DSPM — discovery and classification of sensitive data across cloud data stores (AWS, Azure, GCP, Snowflake), plus identity-aware data risk scoring. Cyera has expanded into AI data security messaging, but the platform's center of gravity is cloud DSPM.
The most common reasons: (1) you need active SaaS DLP remediation in Slack / Gmail / Salesforce / Office 365, not just findings; (2) you need MCP DLP for AI agents (Claude, ChatGPT, Cursor, Copilot, Gemini); (3) you need endpoint and browser coverage in addition to cloud; (4) you want under-10-minute deployment; (5) you want pre-built compliance evidence for SOC 2, HIPAA, PCI, GDPR, EU AI Act, not a custom integration project.
Strac overlaps Cyera on cloud DSPM and goes broader: SaaS DLP, endpoint DLP, browser DLP for GenAI, and MCP DLP for AI agents. For organizations whose data lives across SaaS and cloud (which is most companies in 2026), Strac covers the same surface Cyera does and the surfaces Cyera doesn't focus on.
Strac has shipped 14 SaaS MCP DLP integrations — Slack, Google Workspace, Gmail, Google Drive, Microsoft 365, Notion, Jira, Confluence, GitHub, Salesforce, HubSpot, Asana, Linear, and Zendesk. Each wraps the official MCP server with Strac's redaction engine. Sensitive data (PII, PHI, PCI, secrets, source code) is masked before it ever reaches the model context. The MCP DLP pillar and the MCP security guide walk through the full architecture.
Strac covers AWS, Azure, Snowflake, PostgreSQL, Oracle, and DynamoDB for discovery and classification. The depth of cloud DSPM coverage is comparable; Strac additionally remediates where Cyera surfaces findings. See cloud DLP for the architecture.
Purview is a fine choice for organizations deep in Microsoft 365 and Azure with limited non-Microsoft SaaS. The moment your stack includes Slack, Salesforce, HubSpot, Notion, Jira, Snowflake, or AI agents on non-Microsoft models, Purview's coverage breaks down. See Microsoft Purview alternatives for the full analysis.
Strac integrations deploy in under 10 minutes per SaaS workspace — agentless, no SDK changes, no SaaS re-permissioning. Cyera deployments, like most DSPM rollouts, often span weeks for full coverage as the platform indexes data stores and tunes classifiers.
Yes. Anthropic does not currently sign a BAA for Claude consumer or Claude Cowork plans. Strac's MCP DLP redacts PHI at the tool-call boundary so the data never reaches Claude's model context in the first place — which closes the practical HIPAA gap without depending on Anthropic to ship a BAA. The full vendor breakdown is in Is Claude HIPAA compliant?.
Strac offers PoVs (proof of value) where security teams can validate Strac inside their own SaaS workspace against their own data. Most PoVs surface real findings inside the first 30 minutes. Book a demo to start one.
Strac detects PII, PHI, PCI, credentials, API keys, source code, and intellectual property across structured and unstructured fields. OCR runs on JPEG, PNG, screenshots, and image-based PDFs. Customers can configure custom detectors for org-specific data classes. The full list is in Strac's catalog of sensitive data elements.
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