Posts by Sridhar Iyer
Reimagining NetOps: Operational Intelligence Powered by Versa NLP based Co-Pilot
Natural Language Processing (NLP) has evolved significantly over the past decade. From the humble beginnings of a simple rule-based lookup, it has now transformed into AI-driven systems capable of context-based responses for operational intelligence. In enterprise networks that are distributed, the need for simplified operations has never been greater. Network Operations (NetOps) teams are under increased pressure to troubleshoot faster, identify root causes accurately, and reduce resolution cycles while maintaining uptime and business agility.
Building Context with UEBA relationship graphs, using GraphML
Versa UEBA incorporates GraphML to generate insights and detect anomalies in user relationship graphs. Anomaly and behavior detections are just the first step. We then need to quickly pivot into building the forensics to inform response and remediation. This can involve determining the origination point of a malicious activity or an attack and building the scope and scale of a potential breach.
Securing Generative AI Tools
Harness ChatGPT for productivity and secure against data leakage, credential abuse and privacy risks.
Company Updates
Reimagining NetOps: Operational Intelligence Powered by Versa NLP based Co-Pilot
By Sridhar Iyer
February 9, 2026
Natural Language Processing (NLP) has evolved significantly over the past decade. From the humble beginnings of a simple rule-based lookup, it has now transformed into AI-driven systems capable of context-based responses for operational intelligence. In enterprise networks that are distributed, the need for simplified operations has never been greater. Network Operations (NetOps) teams are under increased pressure to troubleshoot faster, identify root causes accurately, and reduce resolution cycles while maintaining uptime and business agility.
Company Updates
Building Context with UEBA relationship graphs, using GraphML
By Sridhar Iyer
May 2, 2024
Versa UEBA incorporates GraphML to generate insights and detect anomalies in user relationship graphs. Anomaly and behavior detections are just the first step. We then need to quickly pivot into building the forensics to inform response and remediation. This can involve determining the origination point of a malicious activity or an attack and building the scope and scale of a potential breach.
Industry Insights
Securing Generative AI Tools
By Sridhar Iyer
August 21, 2023
Harness ChatGPT for productivity and secure against data leakage, credential abuse and privacy risks.
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