Paul Nashawaty

Author: Paul Nashawaty

Author

  • Paul Nashawaty

    Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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AI Agent Secrets Security: What GhostAction Reveals
AI, Application Development, Automation

AI Agent Secrets Security: What GhostAction Reveals

GitGuardian's October roundup documents the return of the GhostAction supply chain campaign and introduces deterministic AI hooks for coding assistants. The research... Read more.
Google's AI-Generated Apps Signal a New App Economy
AI, Application Development, Machine Learning, Platform Engineering

Google’s AI-Generated Apps Signal a New App Economy

Google Play's support for private, AI-generated applications marks a structural shift in the app economy, moving users from software consumers to software creators.... Read more.
CData Foundations 2026: The AI Gateway for Enterprise Systems
AI, Application Development, Cloud, Infrastructure

CData Foundations 2026: The AI Gateway for Enterprise Systems

CData's Foundations 2026 event on November 5 centers on the company's Connect AI Gateway, a single control point for AI access to enterprise systems. The agenda... Read more.
Enterprise Reliability Needs More Than Observability: The Case for Cross-Domain Intelligence
AI, AIOps, Application Development, Enterprise IT Strategy

Enterprise Reliability Needs More Than Observability: The Case for Cross-Domain Intelligence

Explore how Ciroos uses full stack operational intelligence and cross-domain reasoning to improve incident resolution, root cause analysis, and enterprise reliability.... Read more.
Swamp Club Launches AI Agent Platform to Fix Production Reliability
AI, Application Development, DevOps, Machine Learning

Swamp Club Launches AI Agent Platform to Fix Production Reliability

Swamp Club has launched Swamp, a platform for building production-grade AI agents with modular, deterministic primitives and deep integration capabilities. Backed... Read more.
NeuBird Agentic Reliability Center: Governing AI in Production
AI, Application Development, Automation, DevOps, DevSecOps, IT, Platform Engineering

NeuBird Agentic Reliability Center: Governing AI in Production

NeuBird has launched the Agentic Reliability Center, a governance platform for AI agents operating in enterprise production environments. The platform unifies telemetry... Read more.
Nutanix Move 6.3.3 DirectPath: VMware Migration Without VDDK
Application Development, Cloud, Infrastructure, Virtualization

Nutanix Move 6.3.3 DirectPath: VMware Migration Without VDDK

Nutanix has released Move 6.3.3 with a new DirectPath migration method that eliminates the need for VMware's VDDK libraries, a direct response to Broadcom's removal... Read more.
LocalStack Adds Day-1 Support for AWS Lambda Web Functions
Agentic AI, Application Development, Cloud, Infrastructure

LocalStack Adds Day-1 Support for AWS Lambda Web Functions

LocalStack announced immediate support for AWS Lambda Web Functions on the same day AWS released the feature. The local cloud sandbox lets developers and AI agents... Read more.
AI Customer Service Agents and California's Human Contact Law
AI, Application Development, Automation, Customer Experience

AI Customer Service Agents and California’s Human Contact Law

California's new law gives consumers the right to a human representative, but a 15-minute hold time isn't a satisfying answer. The real problem is that most AI agents... Read more.
Kiro Local Sandboxing: OS-Level AI Agent Security
Agentic AI, Application Development, DevSecOps, Platform Engineering

Kiro Local Sandboxing: OS-Level AI Agent Security

Amazon's Kiro IDE and CLI now offer local sandboxing, applying OS-level restrictions to AI agent commands without requiring cloud infrastructure. The feature unifies... Read more.