- “technology security ai ibm owasp”
- “technology-security”
- “ai-innovation”
- “cyber-risk-management”
- “owasp-project”
- “multimodal-data”
- “llm”
- “mcp”
- “api”
- “zero-trust”
- “bootable-containers” updated: 2026-04-14
aliases: [“ibm-tech”, “security-advances”, “ai-frontier”, “data-processing”, “risk-assessment”] summary: “IBM, a leading technology firm, actively contributes to cybersecurity and AI advancements by addressing security risks in agentic applications and introducing multimodal data processing techniques.” updated: 2026-04-14
IBM
IBM is a multinational technology company that offers hardware, software, and cloud computing services. It has been at the forefront of innovation in various fields including artificial intelligence (AI) and cybersecurity. Below are recent updates related to IBM’s contributions to these areas:
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2026 04 10 OWASP Top 10 Security Risks for AI Agentic Applications Report
- Jeff Crume, a Distinguished Engineer at IBM, presented the OWASP (Open Worldwide Application Security Project) GenAI Security Project report on AI agents.
- The presentation focuses on identifying and explaining the top 10 security risks for AI agentic applications.
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2026 04 14 Bootable Container Concept
- IBM introduced the concept of Bootable Containers to streamline the management and deployment of underlying operating systems, mirroring advancements in application containerization.
- The shift to containers for applications began about a decade ago, fundamentally changing software delivery.
2026 04 14 Bootable container concept from IBM
Source Notes
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]
- 2026-04-14: # IBM Mixture of Experts --- --- # Mixture of Experts: The “Fun-cember” of Model Releases, Scaling Laws, and Agent Wars Host: Tim Hwang Panelists: * **[[entities/gabe-goodhart|Gabe Goo (IBM Mixture of Experts)
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]
- 2026-04-14: I Looked At Amazon After They Fired 16,000 Engineers. Their AI Broke Everything.
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]
- 2026-04-14: I Looked At Amazon After They Fired 16,000 Engineers. Their AI Broke Everything.
- 2026-04-08: [[lab-notes/2026-04-08-OWASP-Top-10-Security-Risks-for-AI-Agentic-Applications-Report|Top 10 Security Risks in AI Agents Explained]]
- 2026-04-10: What is Multimodal AI? How LLMs Process Text, Images, and
- 2026-04-10: [[lab-notes/2026-04-10-OWASP-Top-10-Security-Risks-for-AI-Agentic-Applications-Report|Top 10 Security Risks in AI Agents Explained]]