In November 2024, solution-provider executives forecast that data-security products would increasingly converge into broader platforms during 2025. They pointed to AI-related data exposure, cloud and SaaS sprawl, and the need to discover, classify, and control access to sensitive information. That was a forecast, not proof that convergence occurred across the market. The practical takeaway for organizations is to assess coverage and operational gaps—not assume one platform, including data security posture management (DSPM), will protect every data store or govern every use of data.
What the 2025 convergence forecast meant
CRN’s November 8, 2024 report described executives’ expectation that capabilities previously sold or managed as separate point products would move into broader data-security platforms. Stratascale senior director for cybersecurity professional services Justin Flynn compared the trend with earlier cloud-security consolidation: “Ultimately, a ‘bunch of these point products are converging into platforms,’ Flynn said.”
The forecast covered a connected set of tasks: finding data, classifying it, seeing where it resides and how it is secured, and controlling which people and AI models may use it. It was not simply a prediction about blocking external attackers. Weak access controls can also enable inappropriate internal access or cause an AI system to draw on data it should not use.
Optiv CISO Max Shier likewise expected tools and capabilities to converge: “There is going to be a convergence of those tools and capabilities,” said Shier. Executives interviewed by CRN offered observations about their clients and product markets, not a representative survey or a quantified forecast of adoption.
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Why AI and data sprawl sharpened the problem
AI depends on appropriate data access
AI initiatives make data discovery and governance more urgent because models and the systems around them can expose information or use it in analysis when access is too broad. Flynn’s framing included controls over what data an AI model can access, alongside discovery and classification. A useful assessment therefore asks not only whether sensitive information is protected from outsiders, but whether users, identities, and models have appropriate access.
Cloud visibility is useful but incomplete
Shier described DSPM as a way to gain visibility into where data is stored and its security in cloud environments. He also warned that its coverage was not comprehensive at the time: “It does not have all the capabilities across all the data stores,” Shier said. That limitation matters when an organization has information spread across cloud services and other environments. A cloud-focused view may leave stores, controls, or workflows outside the product’s reach.
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AI readiness was a provider priority
Tevora executive vice president of sales Steve Stumpfl described client demand for data-security work as groundwork for AI initiatives. “And I think DSPM in general and AI are the two major ones,” he said. His comment indicates a provider’s observed priorities; it does not establish how common those priorities were across all organizations.
What the forecast does—and does not—establish
The forecast was made in 2024 about what might happen during 2025. Later examples of vendors adding related capabilities show portfolio expansion, but they do not establish that the predicted convergence occurred market-wide, that products became interoperable, or that organizations could replace all separate tools with one platform.
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Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →CRN’s 2025 Security 100 roundup described BigID’s data mapping and privacy capabilities, Cyera’s DSPM and data/identity visibility, Rubrik’s expansion from backup and recovery into DSPM, and Varonis’s discovery and classification capabilities. The roundup also covered identity and access products. These examples span related but distinct areas; they are not a standardized comparison of coverage or interoperability.
The same roundup reported 21.4 percent year-over-year growth in identity and access management revenue in 2023, citing IDC figures available to CRN. That is a historical IAM figure, not a data-security market growth rate and not evidence that data-security convergence accelerated by a particular amount.
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Why incident assessment and governance matter
For U.S. public companies, cybersecurity disclosure rules make it important to assess incidents and document governance. The SEC’s July 26, 2023 release says registrants must disclose material cybersecurity incidents and annually disclose material information about cybersecurity risk management, strategy, and governance. A material incident generally must be reported on Form 8-K within four business days after the company determines it is material. A delay is possible if the U.S. Attorney General determines that immediate disclosure poses a substantial risk to national security or public safety.
Annual disclosures include risk-assessment and management processes, material effects, board oversight, and management’s role. These requirements do not mandate DSPM or any other particular product. Tools may help teams locate affected data and understand its sensitivity, but a product does not by itself determine whether an incident is legally material.
How to assess a data-security platform or implementation
Use the convergence idea as a way to evaluate coverage and coordination, not as a reason to assume that a single vendor has replaced every control. Ask vendors and implementation partners for evidence against your own data locations, access patterns, and response needs.
- Map the stores in scope. List cloud and other data stores that matter to your organization, then identify which are discovered and monitored by the proposed product. Record uncovered stores and the separate tools or processes needed for them.
- Check discovery and classification. Determine whether the system can map the structured and unstructured data you use, identify sensitive information, and show where that information resides. Ask how it handles data sources beyond its strongest or most common deployment scenario.
- Test access governance for people and AI. Establish whether the product can help identify which users, identities, and AI models can reach sensitive data, and how teams can address inappropriate access or use. Do not treat visibility alone as enforcement.
- Review integration and workflow fit. Ask how the proposed approach connects to existing identity, privacy, cloud, backup and recovery, and security operations tools. The cited vendor coverage does not provide a standardized integration scorecard, so verify the integrations and workflows that your environment actually requires.
- Connect data visibility to incident response. Check whether teams can use the resulting data map and sensitivity information to investigate affected data and support their assessment. Keep the organization’s materiality decision and disclosure process distinct from any product’s findings.
- Assign ownership for gaps. Identify who will handle stores, controls, or workflows the platform does not cover. A solution provider can help assess data locations and prepare for AI projects, but responsibilities and any remaining process or product gaps should be explicit.
Where solution providers fit
CRN positioned solution providers as assessors and implementation partners who can help customers understand where critical data resides and prepare for AI projects. That role is most useful when the challenge crosses product boundaries: discovery and classification may need to inform access controls, privacy practices, cloud security, and incident response.
CRN reported in 2024 that Secuvy had shifted to a 100-percent channel model and offered discovery, classification, and DSPM capabilities. The article named Tevora, Schellman, Optiv, Wipro, and ePlus among its partners. Those details describe the arrangements reported at that time; they do not verify current partnerships, services, or commercial terms.
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