
DLP
Data Loss Prevention protects sensitive information from unauthorized access, sharing, or exfiltration. Modern DLP applies content inspection and policy enforcement across endpoints, cloud, and user workflows.
Data Security 101:
Our glossary brings clarity to core concepts like DLP, UEBA, IRM, data lineage, AI-driven security, and modern insider threat defense. Perfect for CISOs, IT teams, and compliance leaders seeking fast, reliable definitions for real-world risk mitigation.


DLP
Data Loss Prevention protects sensitive information from unauthorized access, sharing, or exfiltration. Modern DLP applies content inspection and policy enforcement across endpoints, cloud, and user workflows.

UEBA
User and Entity Behavior Analytics detects abnormal actions by comparing real-time activity against behavioral baselines, helping security teams identify insider threats and compromised accounts.

IRM(Insider Risk Management)
Insider Risk Management focuses on detecting, assessing, and mitigating risky behavior from employees, contractors, and partners using data monitoring, user intent analysis, and response policies.

AI Data Security
AI data security protects sensitive information from exposure through LLMs, AI tools, and automated workflows by applying classification, access control, and contextual monitoring.

DLP Threats
DLP threats include insider leaks, unapproved SaaS sharing, shadow AI use, and malicious extraction. Modern detection analyzes content, user behavior, and risk signals in real time.

DLP Compliance
DLP compliance ensures data protection policies align with regulatory requirements such as GDPR, HIPAA, and PCI-DSS. It defines how sensitive data is handled, monitored, and reported across systems.
Data Security Updates