• 4+ years of relevant experience in data loss risk across various exfiltration vectors including web, email, endpoint and cloud technologies.
• Good understanding of security incident and change management process in relation to Data loss prevention.
• Ability to interpret complex raw data, identify trends, patterns, and emerging risks in DLP events to improve detection accuracy and reduce false positives.
• Experience in data analytics, automation, scripting languages including PowerShell and python and event management tools including Power BI and Splunk.
• Good understanding of the DLP policies, detection logic and basic working of the various DLP products like Netskope, Proofpoint, MS purview.
• Good understanding of security incident and change management process in relation to Data loss prevention.
• Ability to interpret complex raw data, identify trends, patterns, and emerging risks in DLP events to improve detection accuracy and reduce false positives.
• Experience in data analytics, automation, scripting languages including PowerShell and python and event management tools including Power BI and Splunk.
• Good understanding of the DLP policies, detection logic and basic working of the various DLP products like Netskope, Proofpoint, MS purview.