Data is the most important asset of any company, and the uphill battle of protecting it can seem never ending. Traditional data loss prevention (DLP) solutions focus on the data: classifying it, authorizing access, and monitoring usage in accordance with policies.
However, data loss is only the symptom. The root of the problem lies with the unpredictable nature of humans, either with malicious or, more commonly, negligent behavior.
Attempting to classify thousands – or millions – of changing data records while simultaneously monitoring human users is a tough feat. You cannot force people to fit into a box of rules and security strategies must contain enough flexibility to scale across the organization alongside its moving parts.
Just as your organization doesn’t stop moving, new data will never stop accruing. One of the biggest challenges companies face with traditional DLP solutions is managing the ongoing data classification process. How much time is spent classifying new data or mitigating false positives? Is there a system of checks and balances? What happens if something was classified incorrectly?
Digging deeper for context around the events and actions that surround your data can help prevent it from getting into the wrong hands or leaving the organization. With some UEBA tools, insights are fed to the SOC but can often be disjointed from the rest of the problem. Applying this context can take time, and the result can be lost momentum with speed and detection.
A more practical approach to protecting your data
Shifting to a human-focused security perimeter requires an understanding of who your employees are, where they are, and what they’re doing. But much larger advantages come with also understanding why.
An approach that blends user behavior context with data movement visibility and automation provides a much more practical picture of an organization. Adding behavioral insight to actions surrounding the data will help in understanding why something is happening and acting as quickly as the attack occurs. Leveraging behavioral learnings can also help create a more risk-adaptive approach for an organization, versus relying on static policy-driven methods.
Cybersecurity tools should enable teams to catch more in less time, not add more work for them. How much time is spent manual threat hunting and searching across multiple tools for context when alarms are raised? How often do false positives eat up time to review and discard?
For SOC teams that are able to take immediate action, having the forensic details of the data movement and user context at your fingertips helps in making the best decisions. For teams required to escalate before acting, those details are ready to share for summarizing the incident and making a case for action. For CISOs, in addition to ensuring their team and resources are being used most effectively, they must be able to access and communicate details up to the CEO at any time.
At the end of the day, the desired result is fewer data breaches. DLP is a vital part of any security strategy, but it’s O.K. to redefine what DLP means and how to get there. Identifying how your organization can most effectively protect its data will yield the best possible chances of solving the problem.
Talk with a member of the Jazz Networks team to see how we’re helping companies use a more optimal data protection mix to help their teams catch more with less effort.
Jaime has a passion for all things marketing. She has spent the majority of her career working across Enterprise IT solution providers and tech start-ups, developing digital, content, and demand generation strategies. In her 7 years between Dimension Data and Presidio, she focused on marketing strategies for UC, IoT and Security.