In a world where data breaches are inevitable, EVERY organization is working to improve their security posture. Security organizations are looking to take advantage of artificial intelligence (AI) and machine learning (ML), but are overlooking the actual intelligence that resides in their HUMAN resources.
According to Palo Alto, AI and machine learning is primarily about automation and simplifying monotonous tasks associated with cyber security policy definition and enforcement. The words predictive, self-configuring and autonomic should all come to mind when thinking about AI/ML frameworks.
From a Boldon James perspective, end-user driven data classification affects security where the data begins and captures ACTUAL intelligence, namely the content and context, held by the creator of the data. Instead of relying on AI or machine learning to guess at the classification of data, organizations can harness the power of their HUMAN resources and engage the end-user in the security policy, making them responsible for classifying the data they create.
This webinar will focus on the power of end-users to:
1) Correctly classify data
2) Improve security posture
3) Reduce false positives in a DLP deployment
4) Reduce the time to remediate the results of data discovery
5) Increase the efficiency of virtually every element of a company’s security apparatus