Data Loss Prevention (DLP)
Sensitive data often moves across networks, devices, and users without control. DLP helps prevent accidental or malicious data leaks.
- Monitors data in use, in motion, and at rest
- Detects unauthorized transfers of confidential information
- Blocks risky actions (e.g. USB copy, email forwarding)
- Applies policies by content, user, or location
- Supports regulatory compliance (GDPR, HIPAA, etc.)
DLP helps ensure sensitive business and customer data stays where it belongs — and doesn’t fall into the wrong hands.
Encryption & Key Management
Even if attackers get your data, encryption makes it unreadable. Key management ensures only authorized users can decrypt it.
- Encrypts files, databases, emails, and backups
- Manages the lifecycle of encryption keys
- Supports hardware security modules (HSMs)
- Enables bring-your-own-key (BYOK) models
- Meets compliance standards for data protection
These tools protect the confidentiality of data — whether it’s stored, transferred, or in use.
Data Classification
Not all data is equal — but many organizations treat it the same. Classification helps define what needs protection and how.
- Tags data by sensitivity (e.g. confidential, internal)
- Works with documents, emails, and cloud storage
- Triggers actions in DLP and encryption tools
- Supports automation and user-driven labeling
- Provides visibility into data exposure risk
Data classification helps organizations apply the right level of protection to the right information.
Database Security & Activity Monitoring
Databases store your most valuable data. If compromised, the damage can be huge. Monitoring and controls are critical.
- Tracks queries, access, and configuration changes
- Detects suspicious or unauthorized behavior
- Masks sensitive data from certain users
- Works with structured and unstructured databases
- Integrates with SIEM and access control tools
These tools provide real-time protection and auditing for databases — reducing risk and ensuring accountability.
Data Masking & Tokenization
When sharing data for testing or analytics, sensitive values must be hidden. Masking and tokenization offer privacy-preserving alternatives.
- Replaces real data with anonymized or randomized versions
- Maintains format for usability (e.g. credit card numbers)
- Protects data used outside of production
- Reversible (tokenization) or irreversible (masking)
- Compliant with data privacy regulations
These techniques help reduce exposure by making sensitive data unusable if intercepted.
File Integrity Monitoring (FIM)
Unexpected file changes can signal malware, tampering, or insider threats. FIM detects and alerts on these events.
- Tracks modifications to critical files and folders
- Generates alerts for suspicious or unauthorized changes
- Logs file activity for audits
- Integrates with SIEM and response platforms
- Supports compliance (PCI DSS, SOX, etc.)
FIM strengthens data integrity and provides a tamper-evident trail for security teams.
Secure File Transfer (SFTP, MFT)
Sending sensitive data via email or unsecured links is risky. Secure file transfer methods ensure safe exchange.
- Encrypts data in transit
- Supports authentication and access controls
- Tracks file movement and delivery confirmation
- Scales for internal and external file exchange
- Meets security and compliance requirements
These tools replace risky file-sharing habits with secure, managed processes.
