Gluware
Executive perspectives from Gluware across NextGenInfra's event and research showcases.
6 video interviews · 2019–2026
AI Threats Make Network Automation a Top Priority
- AI-driven threats, accelerated by frontier models such as Mythos, are making network automation a top priority for CTOs and infrastructure leaders.
- With up to 30% of configurations bespoke and depreciation stretching to seven or eight years, ripping and replacing equipment is impractical.
- Gluware's proof-of-trust architecture grounds AI in the customer's own configurations, and Titan Exposure Management pinpoints only the devices that are actually vulnerable.
Abstract
Ernest Lefner, Chief Product Officer at Gluware, argues that AI-driven threats accelerated by frontier models like Mythos are making network automation a top priority, especially since "automation resistant" enterprise networks with bespoke configurations and stretched depreciation cycles make ripping and replacing equipment impractical. He describes Gluware's "proof of trust" architecture, Titan Exposure Management for pinpointing vulnerable devices, and its vendor-agnostic DIAL layer, while recommending a crawl-walk-run approach that lets enterprises rethink how they automate and secure their networks.
AI Threats Make Network Automation Urgent
- AI-driven threats make network automation and agentic operations an urgent necessity rather than a nice-to-have.
- Up to 30% of configurations are bespoke snowflakes, and even greenfield networks quickly drift and turn brown without automation.
- Gluware's DIAL layer replaces sprawling Ansible and Python scripts with one validated, consistent automation mechanism.
Abstract
Ernest Lefner, Chief Product Officer at Gluware, argues that AI-driven threats, bespoke "snowflake" configurations, and the tendency of even greenfield networks to quickly "turn brown" make network automation and agentic operations an urgent necessity built on proper configuration standards and data modeling. He highlights the Gluware platform and its Device Interaction and Automation Layer (DIAL) as a trusted, validated alternative to sprawling self-built Ansible and Python scripts, letting organizations focus on intent and business outcomes.
AI's Emerging Influence on NetOps
- Gluware's Ernest Lefner discusses AI's emerging influence on network operations.
- Gluware introduced a new co-pilot designed to simplify network troubleshooting and management.
Abstract
Ernest Lefner, Chief Product Officer at Gluware, discusses the emerging influence of AI on network operations and introduces their new co-pilot, designed to simplify network troubleshooting and management.
Thriving in Multi-Cloud Environments: Embrace Complexity & Learn Together
- ONUG co-founder Ernest Lefner warns that adding a second cloud provider exponentially increases complexity.
- Sharing experiences across the community shortens multi-cloud adoption time and avoids common mistakes.
Abstract
Struggling with the complexities of transitioning to a multi-cloud environment? Ernest Lefner, Co-Founder of ONUG and Chief Product Officer at Gluware explains: - The importance of sharing experiences to avoid common mistakes - How adding a second cloud provider can exponentially increase complexity - The benefits of learning from others to shorten the time to adoption
Gluware's Hyper-Automation Platform Revolutionizes Network Security & Management
- Gluware CEO Jeff Gray creates a digital twin of any multi-vendor, multi-domain enterprise network.
- Hyper-automation with self-operating bots exposes and remediates security violations and misconfigurations.
Abstract
Struggling with network security and manual network management? Jeff Gray, CEO of Gluware, explains how their innovative solution can help: - Discover and create a digital twin of any multi-vendor, multi-domain enterprise network - Expose security violations, vulnerabilities, and misconfigurations for effective remediation - Implement hyper-automation with self-operating bots for efficient and secure network management
Accelerating Enterprises on the Network Automation Journey
- Gluware uses an intent-based, model-driven engine to simplify automating existing multi-vendor networks.
- Gluware helps enterprises like Mastercard and Merck deploy network automation at scale, freeing IT engineering time.
Abstract
Automating a global enterprise to scale can be a herculean task. Choosing the best approach, such as using an intent-based, model-driven based network automation engine can simplify the process of automating an existing multi-vendor network, freeing precious IT engineering time to deliver strategic innovation. Gluware CEO and Co-founder, Jeff Gray, talks about how Gluware helps enterprises like Mastercard, Merck and more deploy network automation at scale and the business benefits of doing so.