Atharva Humar
Director, Paricott Industries
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Atharva is the Director of Paricott Industries, where he leads the transformation of a traditional manufacturing business into a modern, automation-driven and security-first organization. Atharva has championed the integration of software systems into manufacturing workflows, bridging the gap between operational technology (OT) and information technology (IT). His work emphasizes building systems that are not only efficient, but also secure by design, auditable, and adaptable to future demands.
Enforcing Vendor and Supply Chain Trust in Manufacturing with Policy-as-Code
Manufacturing platforms rarely run only first-party code. They depend on workloads delivered by vendors, system integrators, and third-party partners, each with different security standards and update cycles. Without clear enforcement, temporary vendor exceptions can quietly become permanent risk.
This session focuses on using policy-as-code to enforce supply chain and vendor trust boundaries inside Kubernetes. Using Kyverno, we show how teams can define and enforce approved registries, trusted image sources, mandatory vendor metadata, and time-bound exceptions without relying on manual reviews or tribal knowledge.
Rather than covering generic supply chain theory, the talk dives into concrete policy patterns used in manufacturing environments to safely onboard vendor workloads while maintaining control. Attendees will leave with practical examples of using Kubernetes-native policies to make vendor trust explicit, auditable, and enforceable by default.
After the Breach: Turning a Manufacturing Cyber Incident into Enforceable Guardrails
A cybersecurity incident in a manufacturing environment exposed gaps that were uncomfortable but common: production workloads were mutable, configuration drift went unnoticed, and critical systems could be changed without any guarantees.
This session focuses on how those specific failures were addressed using policy-as-code. Using Kyverno, we show how enforceable guardrails were introduced to prevent unauthorized configuration changes, block untrusted workloads, and make drift immediately visible across production and business-critical systems.
Rather than presenting a broad security or compliance framework, this talk dives into a small set of concrete policies that directly map to incident learnings. We cover what was locked down, what was intentionally left flexible, and the trade-offs required to avoid slowing teams during recovery.
Attendees will leave with practical patterns for converting post-incident lessons into preventative controls using Kubernetes-native policy enforcement.
When Policy Meets Power: Running Kyverno at the Edge to Protect Real-World Machines
Kubernetes policies are usually discussed in the context of cloud workload, but manufacturing environments introduce a different kind of risk. Here, configuration mistakes can have physical consequences, not just failed deployments.
In this talk, we explore how policy-as-code can be extended beyond data centers into a manufacturing environment. Using Kyverno as a policy decision engine, we demonstrate an architecture where policies govern electrical safety thresholds at production plant
Sensor readings such as voltage, power consumption, and temperature are published into Kubernetes-native resources. Kyverno evaluates these signals to enforce safety policies, trigger alerts, and emit escalation signals when critical thresholds are crossed. At the edge, lightweight Kubernetes clusters running on Raspberry Pi devices act as local policy decision points.
This session shares practical design choices and lessons learned from applying Kubernetes governance to industrial and IoT workloads.
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