Features, pricing, ratings, and pros and cons, compared head to head.
PKWARE PK Protect for z/OS is a commercial data security posture management tool by PKWARE, Inc.. Strac Sensitive Data Discovery is a commercial data security posture management tool by Strac. Compare features, ratings, integrations, and community reviews side by side to find the best data security posture management fit for your security stack. Independent and vendor-neutral: we never sell rankings.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Enterprise security teams managing z/OS mainframes need PK Protect for z/OS because it's the only tool that reads mainframe data definitions natively through SchemaLink Technology, eliminating the guesswork that plagues generic discovery tools on legacy systems. The tool covers ID.AM and ID.RA across VSAM, sequential, partitioned, and tape datasets with over 150 policies, and zIIP exploitation keeps CPU costs predictable on mainframe budgets. Skip this if your sensitive data lives primarily in cloud or distributed systems; PK Protect is a mainframe-first tool, not a platform that bridges multiple architectures equally.
Strac Sensitive Data Discovery
Mid-market and enterprise teams drowning in unstructured data across SaaS and cloud will get immediate value from Strac Sensitive Data Discovery because it actually finds what you've lost visibility of, not just what sits in databases. The agentless discovery across Office 365 and AWS, combined with OCR-based detection for images and video, means you'll catch sensitive data your data governance tools have been missing for years. Skip this if your organization has already completed a full data inventory and your problem is purely enforcement; Strac prioritizes discovery and classification over access control and audit trails, which shows in its thinner coverage of NIST monitoring controls.
Discovers and protects sensitive data in z/OS mainframe datasets
Discovers, classifies, and redacts sensitive data across SaaS, cloud, and endpoints
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Common questions about comparing PKWARE PK Protect for z/OS vs Strac Sensitive Data Discovery for your data security posture management needs.
PKWARE PK Protect for z/OS: Discovers and protects sensitive data in z/OS mainframe datasets. built by PKWARE, Inc.. Core capabilities include SchemaLink Technology for reading data definitions and copybooks, Discovery of sensitive data in VSAM clusters, sequential, partitioned, and tape data sets, Over 150 out-of-the-box or customized discovery policies..
Strac Sensitive Data Discovery: Discovers, classifies, and redacts sensitive data across SaaS, cloud, and endpoints. built by Strac. Core capabilities include Agentless data discovery across SaaS, cloud databases, and endpoints, Machine learning and OCR-based sensitive data detection, Real-time scanning and classification of text, attachments, and audio/video..
Both serve the Data Security Posture Management market but differ in approach, feature depth, and target audience.
PKWARE PK Protect for z/OS differentiates with SchemaLink Technology for reading data definitions and copybooks, Discovery of sensitive data in VSAM clusters, sequential, partitioned, and tape data sets, Over 150 out-of-the-box or customized discovery policies. Strac Sensitive Data Discovery differentiates with Agentless data discovery across SaaS, cloud databases, and endpoints, Machine learning and OCR-based sensitive data detection, Real-time scanning and classification of text, attachments, and audio/video.
PKWARE PK Protect for z/OS is developed by PKWARE, Inc.. Strac Sensitive Data Discovery is developed by Strac. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
PKWARE PK Protect for z/OS integrates with IBM Guardium. Strac Sensitive Data Discovery integrates with AWS, Office 365. Check integration compatibility with your existing security stack before deciding.
PKWARE PK Protect for z/OS and Strac Sensitive Data Discovery serve similar Data Security Posture Management use cases: both are Data Security Posture Management tools, both cover PII. Review the feature comparison above to determine which fits your requirements.
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