The Siberson Blog
Guides and insights on data security — DSPM, DLP, classification, discovery, file integrity monitoring and compliance. Written for security and compliance teams.
The New Paradigm of Data Security: Protect the Data, Not Just the Perimeter
Perimeter defences no longer define risk. Data-centric security protects information across its lifecycle — through discovery, classification, DLP and integrity monitoring.
The New Paradigm of Data Security: Protect the Data, Not Just the Perimeter
Perimeter defences no longer define risk. Data-centric security protects information across its lifecycle — through discovery, classification, DLP and integrity monitoring.
What Is File Integrity Monitoring (FIM) and Why It Matters
Prevention is never perfect. FIM is the early-warning control that catches the change an attacker or mistake leaves behind.
What Is DSPM (Data Security Posture Management)?
DSPM unifies discovery, classification, protection and monitoring around the data itself. Here is what it is and why it is rising.
What Is Data Loss Prevention (DLP)? A Practical 2026 Guide
DLP explained in plain terms: the channels it covers, why legacy tools fail, and how classification-driven DLP actually stops leaks.
What Is Data Discovery? Finding Sensitive Data Everywhere
You cannot secure what you cannot find. Data discovery builds the map that classification, DLP and compliance all depend on.
What Is Data Classification and Why It Comes First
You cannot protect, govern or report on data you have not labelled. Classification is the foundation everything else stands on.
USB and Print Control: Guarding the Physical Edge
Removable media and printers are easy to forget and easy to abuse. Targeted, classification-aware control beats a blanket lockdown.
Turkish PII Detection: KVKK-Native Discovery Out of the Box
TCKN, IBAN, VKN, SGK and GİB formats are not edge cases in Türkiye. Detecting them natively is a real advantage.
Why Your Audit Logs Must Be Tamper-Proof
An audit trail is only useful if it cannot be quietly rewritten. Encryption and attribution make evidence trustworthy.
Shadow IT and SaaS: Data You Do Not Know You Are Sharing
Every unsanctioned app is a new place your data can escape. Discovery and DLP bring the shadows into view.
Structured and Unstructured Data Discovery in One Scan
Sensitive data lives in databases and in files. Scanning only one leaves half your risk invisible.
Screen Watermarking: Deterring the Photo-of-the-Screen Leak
When someone photographs their monitor, file controls cannot help. Dynamic screen watermarks deter and attribute the leak.
SaaS DLP: Controlling Data in Browser-Based Apps
Most SaaS is used in a browser, which is exactly where modern DLP needs to enforce.
Remote and Hybrid Work: Data Leaves the Perimeter Daily
When the office is everywhere, network-only controls fall short. Endpoint-first data protection follows the data home.
Windows Registry Monitoring: A Favourite Tampering Target
Attackers love the registry because so few teams watch it. FIM should cover keys as closely as files.
PCI DSS 4.0: Protecting Cardholder Data End to End
From protecting stored account data to file-integrity monitoring, PCI DSS 4.0 maps cleanly onto DSPM controls.
Ransomware Is a Data Problem, Not Just a Malware Problem
Modern ransomware steals before it encrypts. Defending the data — not only the endpoint — is what limits the damage.
NIS2 and Data Protection for Critical Infrastructure
NIS2 raises the bar on risk management for essential entities. Data-centric controls are central to meeting it.
Microsoft 365 Data Security: Beyond the Defaults
M365 holds a huge share of enterprise data. Native controls help, but classification-driven DSPM closes the gaps.
KVKK Data Security: Turning Article 12 Into Controls
KVKK expects appropriate technical measures for data security. Here is how discovery, classification and DLP deliver them.
ISO 27001 Annex A: Classification and Data Leakage Controls
ISO 27001 names information classification and data-leakage prevention. Veriket and Verikor implement them directly.
The Insider Threat: Most Leaks Are Not Hackers
The majority of data incidents come from employees — careless or malicious. Data-centric controls address both.
HIPAA and PHI: Protecting Health Data With DSPM
The HIPAA Security Rule expects integrity and access controls for ePHI. Classification, DLP and FIM deliver them.
Shadow AI: Governing Sensitive Data in the GenAI Era
Employees will use AI whether you sanction it or not. The goal is safe use, not futile prohibition.
GenAI Data Leakage: The New Channel Legacy DLP Misses
Staff paste confidential text into AI chatbots every day. Here is how to keep the productivity without leaking the data.
GDPR Article 32: Security of Processing in Practice
Article 32 asks for appropriate security measures for personal data. DSPM is a direct, evidence-backed answer.
Catching Ransomware Early With File Integrity Monitoring
Ransomware announces itself through mass file change. FIM can flag it in the minutes that matter most.
FIM and PCI DSS: Meeting the File-Integrity Requirement
PCI DSS names file-integrity monitoring explicitly. Here is what assessors expect and how to satisfy it cleanly.
File Integrity Monitoring for Linux and Pardus
Public-sector and critical systems run on Linux and Pardus. Your integrity monitoring should treat them as first-class.
Endpoint vs. Network DLP: Which Do You Actually Need?
Endpoint and network DLP solve different halves of the problem. Here is how they compare and why most organisations need endpoint-first coverage.
Endpoint Offline OCR: Reading Sensitive Text Inside Images
Sensitive data hides in screenshots, scans and photos. On-device OCR finds it — with no server and no data leaving the endpoint.
DSPM vs. DLP: Complementary, Not Competing
DLP stops data leaving; DSPM manages the whole posture around your data. You need both, working together.
DSPM for the Cloud: Posture Across SaaS and Object Storage
Sensitive data multiplies across cloud apps and buckets. DSPM keeps a live posture where visibility is hardest.
Answering DSARs Fast: Discovery for Access and Erasure Requests
GDPR and KVKK give people the right to see and delete their data. You can only honour that if you can find every copy.
How to Cut DLP False Positives Without Weakening Protection
False positives are the number-one reason DLP fails. Here are five proven ways to reduce noise while keeping real leaks blocked.
Stopping Email Data Exfiltration Before It Leaves Outlook
Email is still the most common leak channel. Here is how classification-driven DLP stops the accidental — and deliberate — send.
DLP Buyer's Guide: 10 Questions to Ask Every Vendor
Cut through the noise with ten questions that separate enterprise-grade DLP from shelfware.
Data Security for Telecom: Subscriber and Network Data at Carrier Scale
Operators hold subscriber and CDR data at enormous scale. Insider risk and cross-system exposure are the central challenges.
Data Security for the Public Sector: Citizen Data at Scale
Public institutions hold citizen data across many systems. Sovereignty, local platforms and KVKK make the requirements distinct.
Data Security for Healthcare: Patient, Genetic and Research Data
Health data is the most sensitive category and the hardest to keep inside the hospital. Here is how to protect it end to end.
Data Security for Energy: Protecting IT and OT Together
Critical infrastructure spans IT and operational technology. Integrity monitoring and data control must cover both.
Data Security for Banking: Protecting Customer and Transaction Data
Banks face the strictest rules and the most attractive data. A data-centric platform meets PCI DSS, BDDK, GDPR and KVKK together.
Data Risk Scoring: Fix the Highest-Risk Stores First
Not all sensitive data is equally exposed. Risk scoring tells you where to act now instead of everywhere at once.
How to Design a Data Labelling Scheme People Will Actually Use
A labelling scheme fails if it is too complex. Here is how to design one that is simple, defensible and enforceable.
Migrate With a Map: Data Discovery Before You Move to Cloud
Lift-and-shift without a data map carries hidden sensitive data along for the ride. Discover first, migrate second.
The Real Cost of a Data Breach — and How to Lower It
Fines are only part of the bill. Knowing where your data is and controlling its movement reduces both the odds and the impact.
Dark Data: The Silent Risk Hiding in Your Shares
A large share of enterprise data is unmanaged and forgotten. That dark data is exactly where breaches and fines originate.
One Platform, 47 Standards: How Compliance Mapping Works
Siberson maps its controls to 47 standards and 199 controls. Here is why a single mapping saves enormous audit effort.
Cloud Data Sprawl: When Copies Multiply Faster Than Control
Cloud makes it trivial to copy and share. Without discovery and classification, sensitive data multiplies out of sight.
Classifying the Backlog: Millions of Old Files, No Manual Review
Every organisation has years of unlabelled data. Here is how to classify it without an army of reviewers.
Why Classification Makes DLP Precise Instead of Noisy
DLP without classification guesses. Feed it real labels and enforcement becomes accurate, quiet and trusted.
How to Build a DSPM Programme in 90 Days
A pragmatic, phased plan to stand up data security posture management without boiling the ocean.
BDDK Expectations for Banking Data Security
Turkish banking regulation is specific about protecting customer and transaction data. DLP answers the outbound-content requirement directly.
Automatic vs. Manual Classification: You Need Both
Manual labelling captures human context; automation ensures coverage. The strongest programmes combine the two with AI on top.
AI Data Classification: Labelling Sensitive Data at Scale
Content-aware AI can classify data no rule anticipated — and clear the backlog humans never will.