Insider Risk - More Than Data Management
Traditional data loss prevention systems are not enough to identify and combat modern insider risks. Specialized solutions are required.
Modern insider risks, complicated by work trends like "work from anywhere," challenge traditional Data Loss Prevention (DLP) tools. These tools struggle to monitor data flows across dispersed environments, where employees with privileged access utilize data from unsecured locations and, often, unsecured devices. The prevalence of cloud collaboration platforms and personal devices complicates data protection efforts, creating blind spots for solutions that were designed to function in targeted and controlled environments. Today’s insider threats often employ sophisticated tactics, such as social engineering or simply fall to human error, which bypass security red flags. To effectively mitigate these risks, organizations require advanced solutions offer comprehensive visibility into user activities across diverse environments, enabling proactive threat management tailored to the evolving nature of insider risks in today's work landscape.
How Does Data Bypass DLP?
File format changes, even simple ones, can easily cause data to be unrecognizable, untagged, or invisible to most file security
Screen Captures and Images are a quick and easy way for users to pass important info along, but are typical unreadable to file-based systems
Off-network transfers and prints happen more and more regularly with offsite and work at home users, but can your security see a user’s personal printer?
Privileged users and social engineering do not appear as threats to most DLP systems that lack the ability to determine context, track patterns, or notice anomalous usage
Proactive Solutions to Address Risks
To stay ahead of accidental data losses and missteps, a system is required that can identify your most sensitive data as it is created, changed, moved, exported, and reused. innerActiv provides visibility to critical data continuously and in real-time, allowing it be protected and remediated.
Proactive alerting on data activity anomalies
Freedom from fallible tagging and categorization
Behavioral and risk feed enhance threat analysis
Clear forensics and investigative tools
Protection wherever the user travels or works
Understand data access and usage over time and group