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Sentra’s 3-Year Journey: From DSPM to Data Security Platform

August 28, 2024
3
Min Read
Data Security

If you had searched for "DSPM" on Google three years ago, you likely would have only found information related to a dspm manufacturing website… But in just a few short years, the concept of Data Security Posture Management (DSPM) has evolved from an idea into a critical component of modern cybersecurity for enterprises.

Let’s rewind to the summer of 2021. Back then, when we were developing what would become Sentra and our DSPM solution, the term didn’t even exist. All that existed was the problem - data was being created, moved and duplicated in the cloud, and its security posture wasn’t keeping pace. Organizations didn’t know where all of their data was, and even if they could find it, its level of protection was inadequate for its level of sensitivity.

After extensive discussions with CISOs and security experts, we realized a critical gap between data security and the modern environments (further exacerbated by the fast pace of AI). Addressing this gap wasn’t just important—it was essential. Through these conversations, we identified the need for a new approach, leading to the creation of the DSPM concept, which didn't exist before.

 

It was thrilling to hear my Co-Founder and VP Product, Yair Cohen, declare for the first time, “the world’s first DSPM is coming in 2021.” We embraced the term "Data Security Posture Management," now widely known as "DSPM."

Why DSPM Has Become an Essential Tool

Today, DSPM has become mainstream, helping organizations safeguard their most valuable asset: their data.

"Three years ago, when we founded Sentra, we dreamed of creating a new category called DSPM. It was a huge bet to pursue new budgets, but we believed that data security would be the next big thing due to the shift to the cloud. We could never have imagined that it would become the world’s hottest security category and that the potential would be so significant."

-Ron Reiter, Co-Founder and CTO, Sentra

This summer, Gartner has released its 2024 Hype Cycle for Data Security, and DSPM is in the spotlight for good reason. Gartner describes DSPM as having "transformative" potential, particularly for addressing long-standing data security challenges. As companies rapidly move to the cloud, DSPM solutions are gaining traction by filling critical visibility gaps.

The best DSPM solutions offer coverage across multi-cloud and on-premises environments, creating a unified approach to data security. DSPM plays a pivotal role in the modern cybersecurity landscape by providing organizations with real-time visibility into their data security posture. It helps identify, prioritize and mitigate risks across the entire data estate. By continuously monitoring data movement and access patterns, DSPM ensures that any policy violations or deviations from normal behavior are quickly flagged and addressed, preventing potential breaches before they can cause damage.

DSPM is also critical in maintaining compliance with data protection regulations. As organizations handle increasingly complex data environments, meeting regulatory requirements becomes more challenging. DSPM simplifies this process by automating compliance checks and providing clear insights into where sensitive data resides, how it’s being used, and who has access to it. This not only helps organizations avoid hefty fines but also builds trust with customers and stakeholders by demonstrating a commitment to data security and privacy.

In a world where data privacy and security threats rank among the biggest challenges facing society, DSPM provides a crucial layer of protection. Businesses, individuals, and governments are all at risk, with sensitive information constantly under threat.

 

That’s why we are committed to developing our data security platform, which ensures your data remains secure and intact, no matter where it travels.

From DSPM to Data Security Platform in the AI Age

We began with a clear understanding of the critical need for Data Security Posture Management (DSPM) to address data proliferation risks in the evolving cloud landscape. As a leading data security platform, Sentra has expanded its capabilities based on our customers’ needs to include Data Access Governance (DAG), Data Detection and Response (DDR), and other essential tools to better manage data access, detect emerging threats, and assist organizations in their journey to implement Data Loss Prevention (DLP). We now do this across all environments (IaaS, PaaS, SaaS, and On-Premises).

We continue to evolve. In a world rapidly changing with advancements in AI, our platform offers the most comprehensive and effective data security solutions to keep pace with the demands of the AI age. As AI reshapes the digital landscape, it also creates new vulnerabilities, such as the risk of data exposure through AI training processes. Our platform addresses these AI-specific challenges, while continuing to tackle the persistent security issues from the cloud era, providing an integrated solution that ensures data security remains resilient and adaptive.

DSPMs facilitate swift AI development and smooth business operations by automatically securing LLM training data. Integrations with platforms like AWS SageMaker and GCP Vertex AI, combined with features such as DAG and DDR, ensure robust data security and privacy. This approach both supports responsible AI applications and also reduces risks such as breaches and bias. So, Sentra is no longer only a DSPM solution, it’s a data security platform. Today, we provide holistic solutions that allow you to locate any piece of data and access all the information you need. Our mission is to continuously build and enhance the best data security platform, empowering organizations to move faster and succeed in today’s digital world. 

Success Driven by Our Amazing People

We’re proud that Sentra has emerged as a leader in the data security industry, making a significant impact on how organizations protect their data. Our success is driven by our incredible team, their hard work, dedication, and energy are the foundation of everything we do. From day one, our people have always been our top priority. It's inspiring to see our team work tirelessly to transform the world of data security and build the best solution out there.

This team of champions never stops innovating, inspiring, and striving to be the best version of themselves every day.

Their passion is evident in their work, as shown in recent projects that they initiated, from the new video series, “Answering the Most Searched DSPM Questions”, to a behind the scenes walkthrough of our data security platform, and more.

We’re excited to continue to push the boundaries of what’s possible in data security.

A heartfelt thank you to our incredible team, loyal customers, supportive investors, and dedicated partners. We’re excited to keep driving innovation in data security and to continue our mission of making the digital world a safer place for everyone.

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Yoav Regev has over two decades of experience in the world of cybersecurity, cloud, big data, and machine learning. He was the Head of Cyber Department (Colonel) in the Israeli Military Intelligence (Unit 8200) for nearly 25 years. Reflecting on this experience, it was clear to him that sensitive data had become the most important asset in the world. In the private sector, enterprises that were leveraging data to generate new insights, develop new products, and provide better experiences, were separating themselves from the competition. As data becomes more valuable, it becomes a bigger target, and as the amount of sensitive data grows, so does the importance of finding the most effective way to secure it. That’s why he co-founded Sentra, together with accomplished co-founders, Asaf Kochan, Ron Reiter, and Yair Cohen.

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Sentra Is One of the Hottest Cybersecurity Startups

Sentra Is One of the Hottest Cybersecurity Startups

We knew we were on a hot streak, and now it’s official.

Sentra has been named one of CRN’s 10 Hottest Cybersecurity Startups of 2025. This recognition is a direct reflection of our commitment to redefining data security for the cloud and AI era, and of the growing trust forward-thinking enterprises are placing in our unique approach.

This milestone is more than just an award. It shows our relentless drive to protect modern data systems and gives us a chance to thank our customers, partners, and the Sentra team whose creativity and determination keep pushing us ahead.

The Market Forces Fueling Sentra’s Momentum

Cybersecurity is undergoing major changes. With 94% of organizations worldwide now relying on cloud technologies, the rapid growth of cloud-based data and the rise of AI agents have made security both more urgent and more complicated. These shifts are creating demands for platforms that combine unified data security posture management (DSPM) with fast data detection and response (DDR).

Industry data highlights this trend: over 73% of enterprise security operations centers are now using AI for real-time threat detection, leading to a 41% drop in breach containment time. The global cybersecurity market is growing rapidly, estimated to reach $227.6 billion in 2025, fueled by the need to break down barriers between data discovery, classification, and incident response 2025 cybersecurity market insights. In 2025, organizations will spend about 10% more on cyber defenses, which will only increase the demand for new solutions.

Why Recognition by CRN Matters and What It Means

Landing a place on CRN’s 10 Hottest Cybersecurity Startups of 2025 is more than publicity for Sentra. It signals we truly meet the moment. Our rise isn’t just about new features; it’s about helping security teams tackle the growing risks posed by AI and cloud data head-on. This recognition follows our mention as a CRN 2024 Stellar Startup, a sign of steady innovation and mounting interest from analysts and enterprises alike.

Being on CRN’s list means customers, partners, and investors value Sentra’s straightforward, agentless data protection that helps organizations work faster and with more certainty.

Innovation Where It Matters: Sentra’s Edge in Data and AI Security

Sentra stands out for its practical approach to solving urgent security problems, including:

  • Agentless, multi-cloud coverage: Sentra identifies and classifies sensitive data and AI agents across cloud, SaaS, and on-premises environments without any agents or hidden gaps.
  • Integrated DSPM + DDR: We go further than monitoring posture by automatically investigating incidents and responding, so security teams can act quickly on why DSPM+DDR matters.
  • AI-driven advancements: Features like domain-specific AI Classifiers for Unstructure advanced AI classification leveraging SLMs, Data Security for AI Agents and Microsoft M365 Copilot help customers stay in control as they adopt new technologies Sentra’s AI-powered innovation.

With new attack surfaces popping up all the time, from prompt injection to autonomous agent drift, Sentra’s architecture is built to handle the world of AI.

A Platform Approach That Outpaces the Competition

There are plenty of startups aiming to tackle AI, cloud, and data security challenges. Companies like 7AI, Reco, Exaforce, and Noma Security have been in the news for their funding rounds and targeted solutions. Still, very few offer the kind of unified coverage that sets Sentra apart.

Most competitors stick to either monitoring SaaS agents or reducing SOC alerts. Sentra does more by providing both agentless multi-cloud DSPM and built-in DDR. This gives organizations visibility, context, and the power to act in one platform. With features like Data Security for AI Agents, Sentra helps enterprises go beyond managing alerts by automating meaningful steps to defend sensitive data everywhere.

Thanks to Our Community and What’s Next

This honor belongs first and foremost to our community: customers breaking new ground in data security, partners building solutions alongside us, and a team with a clear goal to lead the industry.

If you haven’t tried Sentra yet, now’s a great time to see what we can do for your cloud and AI data security program. Find out why we’re at the forefront: schedule a personalized demo or read CRN’s full 2025 list for more insight.

Conclusion

Being named one of CRN’s hottest cybersecurity startups isn’t just a milestone. It pushes us forward toward our vision - data security that truly enables innovation. The market is changing fast, but Sentra’s focus on meaningful security results hasn't wavered.

Thank you to our customers, partners, investors, and team for your ongoing trust and teamwork. As AI and cloud technology shape the future, Sentra is ready to help organizations move confidently, securely, and quickly.

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December 15, 2025
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AI Governance Starts With Data Governance: Securing the Training Data and Agents Fuelling GenAI

AI Governance Starts With Data Governance: Securing the Training Data and Agents Fuelling GenAI

Generative AI isn’t just transforming products and processes - it’s expanding the entire enterprise risk surface. As C-suite executives and security leaders rush to unlock GenAI’s competitive advantages, a hard truth is clear: effective AI governance depends on solid, end-to-end data governance.

Sensitive data is increasingly used for model training and autonomous agents. If organizations fail to discover, classify, and secure these resources early, they risk privacy breaches, regulatory violations, and reputational damage. To make GenAI safe, compliant, and trustworthy from the start, data governance for generative AI needs to be a top boardroom priority.

Why Data Governance is the Cornerstone of GenAI Trustworthiness and Safety

The opportunities and risks of generative AI depend not only on algorithms, but also on the quality, security, and history of the underlying data. AWS reports that 39% of Chief Data Officers see data cleaning, integration, and storage as the main barriers to GenAI adoption, and 49% of enterprises make data quality improvement a core focus for successful AI projects (AWS Enterprise Strategy - Data Governance). Without strong data governance, sensitive information can end up in training sets, leading to unintentional leaks or model behaviors that break privacy and compliance.

Regulatory requirements, such as the Generative AI Copyright Disclosure Act, are evolving fast, raising the pressure to document data lineage and make sure unauthorized or non-compliant datasets stay out. In the world of GenAI, governance goes far beyond compliance checklists. It’s essential for building AI that is safe, auditable, and trusted by both regulators and customers.

New Attack Surfaces: Risks From Unsecured Data and Shadow AI Agents

GenAI adoption increases risk. Today, 79% of organizations have already piloted or deployed agentic AI, with many using LLM-powered agents to automate key workflows (Wikipedia - Agentic AI). But if these agents, sometimes functioning as "shadow AI" outside official oversight, access sensitive or unclassified data, the fallout can be severe.

In 2024, over 30% of AI data breaches involve insider threats or accidental disclosure, according to Quinnox Data Governance for AI. Autonomous agents can mistakenly reveal trade secrets, financial records, or customer data, damaging brand trust. The risk multiplies rapidly if sensitive data isn’t properly governed before flowing into GenAI tools. To stop these new threats, organizations need up-to-the-minute insight and control over both data and the agents using it.

Frameworks and Best Practices for Data Governance in GenAI

Leading organizations now follow data governance frameworks that match changing regulations and GenAI's technical complexity. Standards like NIST AI Risk Management Framework (AI RMF) and ISO/IEC 42001:2023 are setting the benchmarks for building auditable, resilient AI programs (Data and AI Governance - Frameworks & Best Practices).

Some of the most effective practices:

  • Managing metadata and tracking full data lineage
  • Using data access policies based on role and context
  • Automating compliance with new AI laws
  • Monitoring data integrity and checking for bias

A strong data governance program for generative AI focuses on ongoing data discovery, classification, and policy enforcement - before data or agents meet any AI models. This approach helps lower risk and gives GenAI efforts a solid base of trust.

Sentra’s Approach: Proactive Pre-Integration Discovery and Continuous Enforcement

Many tools only secure data after it’s already being used with GenAI applications. This reactive strategy leaves openings for risk. Sentra takes a different path, letting organizations discover, classify, and protect sensitive data sources before they interact with language models or agentic AI.

By using agentless, API-based discovery and classification across multi-cloud and SaaS environments, Sentra delivers immediate visibility and context-aware risk scoring for all enterprise data assets. With automated policies, businesses can mask, encrypt, or restrict data access depending on sensitivity, business requirements, or audit needs. Live Continuous monitoring tracks which AI agents are accessing data, making granular controls and fast intervention possible. These processes help stop shadow AI, keep unauthorized data out of LLM training, and maintain compliance as rules and business needs shift.

Guardrails for Responsible AI Growth Across the Enterprise

The future of GenAI depends on how well businesses can innovate while keeping security and compliance intact. As AI regulations become stricter and adoption speeds up, Sentra’s ability to provide ongoing, automated discovery and enforcement at scale is critical. Further reading: AI Automation & Data Security: What You Need To Know.

With Sentra, organizations can:

  • Stop unapproved or unchecked data from being used in model training
  • Identify shadow AI agents or risky automated actions as they happen
  • Support audits with complete data classification
  • Meet NIST, ISO, and new global standards with ease

Sentra gives CISOs, CDOs, and executives a proactive, scalable way to adopt GenAI safely, protecting the business before any model training even begins.

AI Governance Starts with Data Governance

AI governance for generative AI starts, and is won or lost, at the data layer. If organizations don’t find, classify, and secure sensitive data first, every other security measure remains reactive and ineffective. As generative AI, agent automation, and regulatory demands rise, a unified data governance strategy isn’t just good practice, it’s an urgent priority. Sentra gives security and business teams real control, making sure GenAI is secure, compliant, and trusted.

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US State Privacy Laws 2026: DSPM Compliance Requirements & What You Need to Know

US State Privacy Laws 2026: DSPM Compliance Requirements & What You Need to Know

By 2026, American data privacy will look very different as a wave of new state laws redefines what it means to protect sensitive information. Organizations face a regulatory maze: more than 20 states will soon require not only “reasonable security” but also Data Protection Impact Assessments (DPIAs), explicit limits on data collection, and, in some cases, detailed data inventories. These requirements are quickly becoming standard, and ignoring them simply isn’t an option. The risk of penalties and enforcement actions is climbing fast.

But through all these changes, one major question remains: How can any organization comply if it doesn’t even know where its most sensitive data is? Data Security Posture Management (DSPM) has become the solution, making data visibility and automation central for meeting ongoing compliance needs.

Mapping the New Wave of State Privacy Mandates

Several state privacy laws going into effect in 2025 and 2026 are raising the stakes for compliance. Kentucky, Indiana, and Rhode Island’s new laws, effective January 1, 2026, require both security measures and DPIAs for handling high-risk or sensitive data. Minnesota’s law stands out even more: it moves past earlier vague “reasonable” security language and mandates comprehensive data inventories.

Other key states include Minnesota, which explicitly requires data inventories, Maryland with strict data minimization rules, and Tennessee, which gives organizations an affirmative defense if they’ve adopted a NIST-aligned privacy program. These requirements mean organizations now need to track what data they collect, know exactly where it’s stored, and show evidence of compliance when asked. If your organization operates in more than one state, keeping up with this web of laws will soon become impossible without dedicated solutions (US consumer privacy laws 2025 update).

Why Data Visibility is Now Foundational to Compliance

To meet DPIA, minimization, and security safeguard rules, you need full visibility into where sensitive or regulated data lives - and how it moves across your environment. Recent privacy laws are moving closer to GDPR-like standards, with DPIAs required not only for biometric data but also for broad categories like targeted advertising and profiling. Minnesota leads with its clear requirement for full data inventories, setting the standard that you can’t prove compliance unless you understand your data (US cybersecurity and data privacy review and outlook 2025).

This shift puts DSPM front and center: you now need ongoing discovery and classification of your entire sensitive data footprint. Without a strong data foundation, organizations will find it hard to complete DPIAs, handle audits, or defend themselves in investigations.

Automation: The Only Viable Path for Assessment and Audit Readiness

State privacy rules are getting more complicated, and many enforcement authorities are shortening or removing 'right-to-cure' periods. That means manual compliance simply won’t keep up. Automation is now the only way to manage compliance as regulations tighten (5 trends to watch: 2025 US data privacy & cybersecurity).

With DSPM and automation, organizations get ongoing discovery, real-time data classification, and instant evidence collection - all required for fast DPIAs and responsive audits. For companies facing regulators or preparing for multi-state oversight, this means you already have the proof and documentation you need. Relying on spreadsheets or one-time assessments at this point only increases your risk.

Sentra: Your Strategic Bridge to Privacy Law Compliance

Sentra’s DSPM platform is built to tackle these expanding privacy law requirements. The agentless platform covers AWS, Azure, GCP, SaaS, and hybrid environments, removing both visibility gaps and the hassle found in older solutions (Sentra: DSPM for compliance use cases).

With continuous, automated discovery and data classification, you always know exactly where your sensitive data is, how it moves, and how it’s being protected. Sentra’s integrated Data Detection & Response (DDR) catches and fixes risks or policy violations early, closing gaps before regulators - or attackers - can take advantage (Sensitive data exposure insight). Combined with clear reporting and on-demand audit documentation, Sentra helps you meet new state privacy laws and stay audit-ready, even as your business or data needs change.

Conclusion

The arrival of new state privacy laws in 2025 and 2026 is changing how organizations must handle sensitive data. Security safeguards, DPIAs, minimization, and full inventories are now required - not just nice-to-have.

DSPM is now a compliance must-have. Without complete data visibility and automation, following the web of state rules isn’t difficult - it’s impossible. Sentra’s agentless, multi-cloud platform keeps your organization continuously informed, giving compliance, security, and privacy teams the control they need to keep up with new regulations.

Want to see how your organization stacks up for 2026 laws? Book a DSPM Compliance Readiness Assessment or check out Sentra’s automated DPIA tools today.

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