Hemant Seth's Blog Posts

Hemant is a Principal Product Manager at Splunk, leading the Kubernetes Monitoring offering within Splunk Observability Cloud. Prior to this role, he focused on Splunk Observability Platform administration, including identity management and license usage. Hemant brings over a decade of experience in the observability domain and holds a Master’s degree in Electrical Engineering with a specialization in Telecommunications.

Are You Prepared for Data Breaches? How to Limit Exposure & Reduce Impact
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5 Minute Read

Are You Prepared for Data Breaches? How to Limit Exposure & Reduce Impact

Data breaches can happen in many ways — ransomware, phishing, accidental exposure — but one thing is clear: our data is being breached all the time.
Zero-Day Attacks: Meaning, Examples, and Modern Defense Strategies
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4 Minute Read

Zero-Day Attacks: Meaning, Examples, and Modern Defense Strategies

Nothing described with “zero” sounds good. That’s absolutely the case here, when it comes to zero-day vulnerabilities, exploits and attacks.
2026 Prediction: AI Will Merge the NOC and SOC
Ciso Circle
5 Minute Read

2026 Prediction: AI Will Merge the NOC and SOC

Combine NOC and SOC with AI to quickly spot cyber threats, fix outages, and reduce false alarms while keeping systems running smoothly.
2026 Prediction: SOCs Embrace Risk for AI Returns
Ciso Circle
5 Minute Read

2026 Prediction: SOCs Embrace Risk for AI Returns

Discover why forward-thinking security leaders embrace calculated risk for a resilient, adaptive SOC.
2026 Predictions: Unified Observability Connects Ops to Business Results
Ciso Circle
5 Minute Read

2026 Predictions: Unified Observability Connects Ops to Business Results

See how forward-thinking organizations use unified observability to achieve real-time protection and market leadership.
AI Infrastructure Explained: How to Build Scalable LLM and ML Systems
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4 Minute Read

AI Infrastructure Explained: How to Build Scalable LLM and ML Systems

Discover what AI infrastructure is, why it matters, and how compute, storage, networking, ML frameworks, and observability work together to enable scalable, high-performance AI systems.