IBM partners with Anthropic to integrate Claude's AI into software

IBM has created a first-of-its-kind guide verified by Anthropic – Architecting Secure Enterprise AI Agents with MCP – focused on the Agent Development Lifecycle (ADLC), a structured approach to designing, deploying and managing enterprise AI agents. https://lnkd.in/gC5RpNt4

🔥 Agentic AI Is Here—and It's Enterprise-Grade IBM and Anthropic just announced a strategic partnership to bring #Claude AI into IBM’s software portfolio, starting with 🚀an AI-first🚀 IDE for enterprise development. Early testing with 6,000+ developers shows 45% productivity gains—achieved within the #compliance & #security frameworks that #regulated-industries demand. 🔗 https://lnkd.in/e_Nq-Cxd But this isn’t just about tooling. It’s about how enterprise work actually changes when Agentic AI moves from hype to operational reality. ✅ From Assistants to Agents We’re seeing the rise of the Agent Development Lifecycle (#ADLC)—a structured way to design, deploy, and govern AI agents that act autonomously across workflows. This isn’t a chatbot. It’s a system that plans, executes, adapts, and learns. 🔗 https://lnkd.in/eXMdCAqN (check out slide 5!) ✅ Security by Design The Claude-powered IDE embeds security-first development: shift-left vulnerability scanning, quantum-safe cryptography, and FedRAMP-ready guardrails. This is how AI gets deployed safely in regulated environments. ✅ Governance That Scales IBM’s AgentOps framework and the MCP guide offer real-time monitoring, traceability, and policy-based control. These aren’t theoretical—they’re already being used to manage hallucination, drift, and relevance across production systems. ✅ From Pilot to Platform Across industries—life sciences, finance, public sector—we’re seeing agentic systems move from proof-of-value to governed scale. That means new operating models, new roles, and new ways of working. So yes, your workflows will change. Yes, it can be secure. And yes, it’s already being done. Let’s stop guessing. Let’s start showing. #AgenticAI #EnterpriseAI #ClaudeAI #Anthropic #IBM #SecureAI #AITransformation #AIinRegulatedIndustries #AIIDE #GovernanceByDesign #ADLC #MCP #AIProductivity #AITrust

🚀 Big News in Enterprise AI! 🚀 IBM and Anthropic have just announced a strategic partnership! This collaboration brings together IBM’s deep expertise in secure, scalable AI solutions with Anthropic’s cutting-edge Claude foundation models — all with a strong focus on trust, safety, and governance. Early testing shows 6,000 IBM early adopters seeing about 45% productivity gains in a new AI-first IDE now in private preview. For our clients, this means faster innovation, smarter automation, and enterprise-grade AI that’s built for real-world impact. Whether you're modernizing legacy systems or building next-gen applications, this partnership opens up powerful new possibilities. Learn more about how IBM and Anthropic are teaming up to deliver responsible AI for business: Read the full announcement: https://lnkd.in/gJwx2uDG Architecting/Agent Development Lifecycle Guide: https://lnkd.in/g96DQNTN Let’s talk about how this can accelerate your AI journey. #EnterpriseAI #IBM #Anthropic #AIInnovation #SecureAI #Claude #SoftwareDevelopment #ClientSuccess #DigitalTransformation #governance #security

We’re moving fast… but not recklessly! Here’s why: - Claude, Anthropic's advanced language model, is now being integrated into IBM's enterprise software tools, which brings next-level reasoning and safety into real business workflows; - ~45% average productivity boost for developers using agents. That's not a future promise… It’s happening now. Also, IBM recently published “Architecting Secure Enterprise AI Agents with MCP” (link below). A practical guide that lays out a clear methodology for building and scaling AI agents across the enterprise. It's designed to help teams move confidently from PoC to production, without compromising on #governance, #performance, or business value. Well… this is how we make AI work at scale, in a way that's reliable, responsible, and useful for the business. If you're exploring how AI could fit into your business' specifics use-cases, this framework is a great place to start. It isn't about chasing trends. It’s about building AI that fits how enterprises actually operate. With trust, transparency, and measurable impact. Let’s keep moving . Fast and with purpose. If you are considering scaling AI responsibly, the time is now.. #AI #EnterpriseAI #Claude #Anthropic #IBMAI #AgentLifecycle #DigitalTransformation #Leadership #Innovation #Productivity https://lnkd.in/gTbDKWVZ

🚀 Big news from TechXchange 2025! IBM and Anthropic just released a groundbreaking guide: “Architecting Secure Enterprise AI Agents with MCP” — a practical blueprint for building and governing AI agents at scale. This playbook introduces the Agent Development Lifecycle (ADLC) framework, helping developers and enterprises tackle the tough questions: • What permissions should agents have? • How do we evaluate their outcomes? • How do we scale responsibly? As Mihai Criveti from IBM puts it: “Once your project goes beyond a single workflow, it becomes unwieldy. ADLC helps enterprises think about the governance and guardrails needed as agents multiply.” If you're working on AI agents or thinking about deploying them in your enterprise, this guide is a must-read. 🔗 https://lnkd.in/gP3BsCzQ #AI #EnterpriseAI #TechXchange2025 #IBM #Anthropic #AgentDevelopment #ADLC #Governance #Innovation

The IBM–Anthropic announcement yesterday is quite interesting. IBM already has its own foundation models (the Granite family) under watsonx.ai. While IBM has been supporting many 3rd party frontier models and Open AI models (through Model Gateway), Claude getting first class integration into IBM’s software stack, is a major departure from IBM's strategy. Key takeaways for me: 1. Agentic AI in the enterprise is now mainstream. My experience with Claude Code with latest Anthropic models has been exceptional, and bringing that to Enterprise with IBM's know-how is a big move. Anthropic so far has been missing distribution channels in Enterprises, and IBM's integration will help here. 2. Stress on MCP is while expected, this announcement will surely trigger many new MCP-washing projects (on top of existing APIs) in Enterprises. 3. The announcement goes quite in detail about Agent Development Lifecycle (ADLC). The focus on security, guardrails, and the detail around agent development surely the challenges Enterprises have been trying to sort out. Inserting a full guide on Agent development as part of this announcement is a a good move. https://lnkd.in/gFgyTbY6 Exciting times ahead for those of us building AI solutions in Enterprises.

IBM and Anthropic partner to bring Claude’s large language models into IBM’s enterprise software ecosystem — enabling a new wave of AI agents designed with governance, security, and trust at the core. This collaboration reinforces IBM’s vision for responsible, enterprise-ready AI, where innovation and compliance go hand-in-hand. 🔗 https://lnkd.in/gfX8Y22C

Something I am happy to start with a AI-summary, but I have gone through the whole thing. Cover to cover. https://lnkd.in/gk59_-6W For enterprises (where security and control always triumph), it's not a surprise that a platform for monitoring, auditing and controlling capabilities of agent tools (e.g. MCP gateway) will pay a significant role. Plus, funding trends show that the M&As in AI security capability is the latest gold rush. #IBM #Anthropic #AIsecurity #AIAgent #AgenticAI

When your AI makes a decision, can you explain why? The real challenge with Agentic AI is the control. We're all used to traditional software that runs like a train on a track. Agentic AI is different. You give it a destination, but it finds its own route. That autonomy is where innovation lies. It's also a nightmare from a risk and compliance perspective. Deploying agents safely at an enterprise scale requires a new rulebook with a few non negotiables: 1️⃣ A Digital Leash Agents must operate in secure, isolated environments with strict, least-privilege permissions. 2️⃣ A Traceable Mind If you can't show an auditor the logic behind an agent's action, you can't prove compliance. It’s that simple. 3️⃣ An Off Switch You must be able to shut an agent down instantly if it goes off track. And how to achieve this? It's back to basics. ❇️ Solve a Real Problem Point agents at the messy, multi-step processes where human judgment is the bottleneck. Focus on real business value. 📛 Give Every Agent a Badge and a Boss Every agent needs a unique identity, a clearly defined scope of authority, and an owner who is accountable for its actions. 🚶♂️➡️ Crawl, Walk, Run Start with a single use case. Prove you can build, secure, and govern one agent effectively before you move onto a second, then third... For a detailed breakdown of what this takes, I recommend to check out this excellent new guide from IBM, verified by Anthropic. A source to keep. https://lnkd.in/eF5r6Rsk

IBM and Anthropic have partnered to introduce next-generation AI into enterprise software, enhancing productivity while ensuring security and governance. Exciting times ahead! #AI #Innovation