With more data produced than ever before, protecting it becomes more of an imperative, and with Next DLP’s new solution, data can be easily tracked right through a company.
In today’s rapidly evolving digital landscape, legacy data protection technologies are falling short. They rely heavily on pattern matching, regular expressions, keywords, user-applied tags and fingerprinting, which can only cover a limited range of text-based data types.
This is why Next DLP has launched Secure Data Flow, a groundbreaking capability within the Reveal Platform that uses the ‘What, Where, Who and How’ of data’s origin, movements and modifications to provide unparalleled protection.
Secure Data Flow overcomes the limitations and complexities of legacy Data Loss Prevention (DLP) by complementing traditional content and sensitivity classification-based approaches with origin-based data identification, manipulation detection and data egress controls. This results in an all-encompassing, 100% effective, false-positive-free solution that simplifies the lives of security analysts.
Tracking data
Recent studies show that employees download an average of 30GB of data each month from SaaS applications to their endpoints, including mobile phones, laptops and desktops. This volume underscores the critical need for advanced data protection measures. By tracking data from its origin as it flows to sanctioned and unsanctioned egress channels within an organisation, Secure Data Flow equips security teams to prevent data theft and misuse effectively.
“Secure Data Flow is a novel approach to data protection and insider risk management,” said Ken Buckler, research director at Enterprise Management Associates. “It not only boosts detection and protection capabilities but also streamlines the overall data management process, enhancing the fidelity of data sensitivity recognition and minimising endpoint content inspection costs.
“This advancement is particularly vital given the limitations and inefficiencies of traditional legacy DLP solutions, providing a much-needed capability to more effectively safeguard sensitive data in today’s diverse technological environments.”
Key benefits
Next DLP claims there are numerous benefits of Secure Data Flow including:
• Comprehensive data tracking: Secure Data Flow secures the flow of critical business data from any SaaS application, including Salesforce, Workday, SAP and GitHub, ensuring that sensitive information is always protected
• Enhanced data protection: By using data origin and sensitive data identification, Secure Data Flow safeguards your company’s intellectual property and sensitive data from accidental loss and malicious theft
• Insightful investigations: Security analysts investigating malicious data exfiltration gain invaluable contextual insights into data origin, manipulation and lineage, enabling them to identify, investigate and report on data security risks and incidents with unprecedented accuracy.
Data loss prevention
“In current IT environments, intellectual property commonly resides in an organisation’s SaaS applications and cloud data stores,” said John Stringer, head of product at Next DLP. “The risk here is that high-impact data in these locations cannot be easily identified based on its content.
“With Secure Data Flow, we help organisations protect their IP by capturing the data’s origin and using that information to track data movement and prevent data theft.”
