Cyber Diaries EP35: Data Security is Broken—Here's Why!
Автор: CTRL+ALT+DEFEND
Загружено: 2025-12-18
Просмотров: 116
The problem with data security isn't what you think—and traditional DLP (Data Loss Prevention) can't fix it. In Cyber Diaries EP35, Marius Poskus sits down with Dhiraj Khare, CRO of Matters AI, to expose why 90% of DLP programs fail and how DSPM (Data Security Posture Management) is revolutionizing the way organizations protect their most valuable asset: data.
Discover the real problem with data security in 2025 and the fix that's changing everything. From cloud security to endpoint protection, learn why traditional data security tools are broken and what AI-powered DSPM solutions bring to the table.
What You'll Learn:
✅ Why 90% of DLP programs have a success rate under 10%
✅ The fundamental problem with regex-based data classification
✅ How DSPM differs from traditional data loss prevention (DLP)
✅ Real-world data security challenges CISOs face today
✅ Why perimeter security is dead—and data-centric security is the future
✅ How AI classifies 100TB of data in hours with 99% accuracy
✅ The biggest data security risks from AI and LLMs in 2025
✅ Quick wins when deploying DSPM in your organization
✅ Future predictions: Where data security is heading
Key Topics Covered:
🔹 Data Security Posture Management (DSPM) explained
🔹 The failure of traditional DLP and endpoint security
🔹 Multi-cloud data security challenges
🔹 AI-powered data discovery and classification
🔹 Compliance pressures (GDPR, CCPA, NIS2, DORA)
🔹 Insider threats and data exfiltration prevention
🔹 Data governance without killing productivity
🔹 The shift from perimeter-first to data-first security
Featured Guest: Dhiraj Khare - CRO of Matters AI, former CRO at Pingsafe (acquired by SentinelOne)
Why This Matters:
With data breaches costing companies millions and regulatory fines reaching $50M+, understanding the problem with data security has never been more critical. Traditional data loss prevention tools can't keep up with modern threats—data is everywhere (cloud, SaaS, endpoints, on-prem), and 80% of data today is AI-generated.
This conversation reveals why visibility is the first step to fixing data security, how to reduce alert fatigue in your SOC, and why DSPM is becoming a separate category from CNAPP (Cloud Native Application Protection).
Timestamps:
00:00 - Introduction: The Data Security Crisis
03:11 - The "Aha Moment" Behind Matters AI
09:13 - Why DSPM is Critical Now (Cloud, AI, Regulations)
13:57 - How DSPM Differs from Traditional DLP
20:01 - AI's Impact on the Data Security Landscape
23:29 - Technical Challenges in Data Discovery at Scale
26:34 - Solving the Signal-to-Noise Problem
30:09 - Data Governance That Doesn't Kill Innovation
35:12 - DSPM in an Overcrowded Security Stack
38:41 - Who Owns DSPM? (CISO vs DPO vs CTO)
41:05 - Market Education: DSPM as a New Category
43:29 - Future of Data Security (2026 Predictions)
About Cyber Diaries:
Cyber Diaries is where cybersecurity professionals, founders, and industry leaders share real insights about building, protecting, and scaling security programs. Hosted by Marius Poskus (Global VP of Cybersecurity/CISO), each episode breaks down complex security topics without the gatekeeping.
Connect with Dhiraj Khare:
🔗 Matters AI: https://www.matters.ai/
🔗 LinkedIn: linkedin.com/in/dhirajkhare
Connect with Marius Poskus:
🔗 LinkedIn: www.linkedin.com/in/marius-poskus
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🎙️ More Cyber Diaries Episodes
Related Resources:
📄 What is DSPM? Complete Guide
📄 DLP vs DSPM: Key Differences
📄 Data Security Compliance Checklist 2025
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