3 Steps To Protect Your Data From Leaving With A Departing Insider
By Veriato - September 18, 2017
David Green, a CSO, put pen to paper and published a white paper that spells out 3 Steps To Protect Your Data During The High Risk Exit Period.
What is the High Risk Exit Period? It’s the period of time between when an insider (employee or contractor) decides to leave the organization - or begins to believe they are going to be asked to leave the organization - and
Dave mentions a few examples of companies who have turned to the courts to protect themselves against alleged (or in some cases proven) theft of trade secrets and other critical intellectual property.
He shares 3 steps - 2 of which involve some tightening of processes and cost nothing to implement. The third step might require some investment in technology to implement effectively, and is one that is simply not being done consistently enough to keep organizations sensitive information safe.
How Veriato Works
Veriato is endpoint-based, which ensures organizations have complete visibility into user behavior, regardless of application. By creating an audit trail that spans the entirety of a user’s activity – which includes application and resource usage, communications, web activity, and more – detection of threats (both analytics- and action-based), investigations, and contextual response is simplified.
A Holistic Security Strategy
User & Entity Behavior Analytics (UEBA) + User Activity Monitoring (UAM) + Data Breach Response (DBR)
Because you never know where an attack will come from, it’s critical that every endpoint is protected from both external and internal attacks.
Internal breaches can come from:
- Accidental employee actions
- Malicious employee actions
- Former employees
- Business partners
- External attacker posing as an insider (stolen credentials)
6 Useful Tips for Becoming an Active ListenerJune 11, 2019
How to Prevent Employee Fraud with Stealth MonitoringNovember 01, 2019
- Cyber & Data Security
- Employee Monitoring Software
- Insider Threat Detection & Prevention
- Data Loss & Theft Prevention
- User Behavior Analytics
- Ransomware Prevention and Detection
- User Activity Monitoring
- Artificial Intelligence - AI
- Forensic & Employee Investigations
- Machine Learning
- Cyber Security Awareness Month
- higher education