Insights
Events with IBM, the AEGIS and ControlPlane argument, and the papers that are hardest to fake.
With IBM
August 2026 · IBM Innovation & Strategy Workshop
Two days with IBM on AI and automation, data and cloud, security and governance, observability, and business strategy. Marcelo Lorenzetti spoke on moving from AI experiments to systems that are controlled, observable, secure, and defensible — the Guild AEGIS and ControlPlane work.
Read the LinkedIn post →March 2025 · IBM TechCon 2025
Sid Bhatia co-presented with IBM’s Denis Mattimoe on automating API standards, security, and compliance — the same stack Guild implements with API Connect and DataPower.
Read the LinkedIn post →From the practice
August 2026 · Thought leadership
A lifecycle on a slide is not an operating model. Guild’s argument: identity, risk, policy, controls, evidence, telemetry, and enforcement have to travel with the AI system.
August 2026 · Thought leadership
Inventory, ownership, lineage, control, cost, evidence, and value — the questions Project Guild ControlPlane is built to answer with current evidence, not another dashboard.
August 2026 · DataPower-as-Code
Git → change control → Ansible → REST/SOMA → DataPower, with Vault, HSM/PKI, and centralized logging. Automation performs the task; architecture makes it enterprise-ready.
Session replay
The same YouTube session featured on www.guildsystems.com, next to the IBM Research papers.
February 2025 · arXiv / Cornell University
Saurabh Jha, Ph.D., IBM Research; et al.
A formal treatment of IBM Instana’s Root Cause Identification algorithm — how causal inference, not mere correlation, is used in production to localize failures across large distributed estates. Co-authored with IBM Research.
February 2025 · IBM Developer
Saurabh Jha, Ph.D., IBM Research; et al.
A practitioner deep dive into Instana’s RCI feature, with real-life examples and a comparison against typical monitoring and observability tools.
March 2024 · IBM Developer
Biswas, A., et al.
Technical deep dive into Turbonomic probes — how the platform collects telemetry and executes resource actions without disrupting application SLAs.
May 2022 · IBM Developer
Gries, J., et al.
Principles and operational characteristics of IBM Turbonomic application resource management.
August 2021 · Proceedings of the 29th ACM Joint Meeting on ESEC/FSE, Athens, pp. 1214–1224
Kalia, A., Xiao, J., Krishna, R., Sinha, S., Vukovic, M., et al.
Peer-reviewed paper on IBM Mono2Micro, the AI-based utility for transforming JEE monoliths into microservices.
January 2020 · IBM Developer
Sundaresan, V., Pickett, T., et al.
Practical guidance on modernizing and optimizing Spring Boot applications in IBM hybrid-cloud environments.
The papers are public. The implementation experience is not.
