IFS unveils major AI partnerships at their first dedicated AI event, focusing on industrial and physical AI solutions. Christian Pedersen, CPO of IFS, discusses strategic collaborations with Anthropic for IFS Resolve, Boston Dynamics for robotic inspections, 1X Technologies for humanoid workforce integration, and Siemens for data center energy optimization.

Key insights include the three-level model intelligence architecture combining public LLMs, industry-specific private models, and customer data. The demonstration of Boston Dynamics' Spot robot showcases integrated workflow automation, while the One X humanoid partnership targets manufacturing and service repair applications. IFS emphasizes giving customers control over AI deployment timelines while maintaining rapid innovation cycles.

• Strategic AI partnerships focused on industrial solutions
• IFS Resolve co-developed with Anthropic for predictive maintenance
• Boston Dynamics Spot integration for autonomous inspections
• 1X Technologies humanoid robots targeting manufacturing by 2026
• Three-level intelligence architecture: public, private, and customer models
• Real-world impact: distiller William Grant saved $8.4M annually at one site
• MCP server architecture for efficient API management
• Physical AI addressing skilled labor shortages in utilities

Chapters:
0:12 - IFS AI event overview
1:27 - Anthropic partnership and IFS Resolve
2:19 - Boston Dynamics physical AI integration
5:58 - Three-level model intelligence architecture
15:02 - Real-world physical AI applications
17:25 - 1X humanoid robots for enterprise
21:29 - The future of human-robot interaction

Together with DJ Sampath, SVP of AI Software and Platforms at Cisco, we take a deep dive in the evolution from AIOps to Agentic Ops. The main focus of the discussion is on AI Canvas, Cisco's latest innovation for network troubleshooting. Unlike traditional chatbot-based AI tools, AI Canvas leverages a purpose-built deep network model trained on 30 years of human network engineering interactions, the company claims.

The conversation explores three core principles of agentic operations: bringing data across silos together, enabling multiplayer collaboration, and using purpose-built models for specific domains. Sampath details how AI Canvas aims to transform IT troubleshooting from a reactive, dashboard-heavy process into an intelligent, agent-driven experience that autonomously debugs and resolves network issues.

Key takeaways:
• Agentic Ops represents autonomous AI agents executing tasks end-to-end, not just chatbot interactions
• AI Canvas uses a deep network model trained on real human network engineering data, not just synthetic data
• Three pillars: unified data silos, multiplayer workflows, and purpose-built models
• AI Canvas creates dynamic, generative UI widgets that it populates based on troubleshooting context
• Starting with Meraki and Thousand Eyes integration, expanding to Cisco Cloud Control
• Future expansion to include third-party vendors through MCP servers

Chapters:
0:13 - Introduction
0:25 - Understanding AI Canvas
1:43 - From AIOps to Agentic Ops
6:43 - Three core principles of Agentic Ops
8:11 - Deep Network Model explained
9:24 - AI Canvas in action
13:07 - Automation and workflows
16:23 - Prerequisites and getting started

Alex Kreilein, VP of Product Security at Qualys, discusses the shift from vulnerability management to risk operations at the company's Risk Operations Conference (ROCon). He explains why focusing solely on vulnerability counts misses the point and how organizations can achieve better security outcomes through risk-based approaches.

Kreilein breaks down the practical challenges of the concept of the SBOM (Software Bill of Materials), introducing VEX (Vulnerability Exploitability Exchange) as the missing piece for effective vulnerability communication. He shares insights on developer friction points, the real reasons for vulnerability debt, and why test efficacy matters more than compliance checkboxes.

Key takeaways:
• Why risk operations differs fundamentally from vulnerability management
• How SBOMs become actionable with VEX status messages (affected, not affected, under investigation, fixed)
• The hidden cost of technical debt and fragile applications
• Real-world approaches to secure by design and developer productivity
• How agentic AI can help security teams focus on strategic outcomes
• Why compliance is a floor, not a ceiling for security

0:07 - Introduction to Qualys RiskOps Conference
0:33 - Understanding risk versus vulnerabilities
2:21 - The role of VP Product Security
3:03 - Software bills of materials explained
9:08 - VEX for vulnerability communication
10:51 - Agentic AI in security
13:38 - Building secure protocols
15:58 - Developer challenges with security