AI agents are becoming the new browsers and MCP is the new attack surface. I’m writing a book on MCP Security because almost no one is thinking about how dangerous over-privileged MCP servers + prompt injection can become. If your agents can touch: • Filesystems • Email •

MCP is becoming the “USB-C for AI agents”… and a massive new attack surface. The biggest MCP security risks you should know: • Fake/malicious MCP servers (e.g., “postmark-mcp” stealing emails) • Over-privileged tools: FS access, shell, prod DB • Prompt-injection via

Architecting secure enterprise AI agents with MCP MCP is becoming the standard way to connect AI agents to tools, APIs, and internal systems — but it’s also becoming a high-value attack surface. Recent incidents show why: - A malicious MCP server on npm quietly exfiltrated

Source:

🚨 BREAKING: An AI model just ran a nation-state cyber espionage campaign almost fully autonomously. Anthropic uncovered the first publicly reported AI-orchestrated cyber attack. Here’s why it’s a turning point 👇 - A Chinese group used an AI coding model as an agent, not a

Cybersecurity in 2026: The Wake-Up Call No One Is Ready For Threat actors are going all-in on AI and the cybersecurity landscape is about to shift faster than most orgs can respond. Key trends from Google’s 2026 Forecast: AI-powered attacks become the norm • AI malware •

From San Francisco 🇺🇸 to Rio, @zahidsharp, founder of @tryjutsu, joined us at Meridian 2025 as one of Supermoon’s grantees. @tryjutsu is building StellaBot, an AI assistant created with @BuildOnStellar that helps both technical and non-technical users explore the @StellarOrg

2/ Build and Deploy AI Agents · Workshop, Lunch & Demo Join us for a deep-dive workshop and discussion on taking AI agents from prototype to production. Co-hosted with @zahidsharp, Co-Founder at Jutsu. Key details: → When: October 9, 12PM–3PM GMT-7 → RSVP:

Build & Deploy AI Agents 👨‍💻 2 sessions: Lunch workshop + Evening demo 🎙 Talks by @zahidsharp & Juliana Mei 🥗 Mediterranean lunch & great community RSVP 👇 12PM → https://t.co/Eky1sQVtNy 6PM → https://t.co/KIUFNUVLuf #AIagents #JutsuAI #NodeOps

RAG bots often over-search or stop too early. SIM-RAG adds self-awareness via a Critic. Top 5: Why self-awareness, no-label training, Critic module, less hallucination, better multi-turn answers. Smarter support chatbots. 📄 SIGIR 2025 https://t.co/eczMtecVUJ

Where is RAG in 2025? Oche et al. survey its evolution & enterprise use. Top 5: RAG timeline, enterprise adoption, scaling/security gaps, hybrid retrievers, future research. Essential snapshot for AI engineers. 📄 arXiv 2025 https://t.co/Ty3PJMgokN

🚨 Prompt engineering is old news. The future is context engineering. LLMs don’t fail because they’re “dumb.” They fail because we feed them the wrong context. Anthropic’s latest article nails it: 👉 Context is a finite resource with diminishing returns. Too much = “context

Rule bots ≠ real support. Yang et al. built a RAG assistant for Transurban: vector search + LLM, handling hallucinations & latency. Top 5: Rules→RAG, hurdles, hallucinations, dev insights, 8 challenges + 8 fixes. 📄 JSS 2025 https://t.co/e1MTnD7jjw

Enterprise chatbots fail not b/c of weak models, but bad docs! 📝 Packowski et al. (IBM) redesigned content + human eval to fix RAG . Top 5 takeaways: 1️⃣ Content > model size 2️⃣ Modular pipelines last longer 3️⃣ Human eval > QA metrics 4️⃣ Doc design heuristics 5️⃣ Evaluate w/out

Bad docs = bad chatbots. Packowski et al. (IBM) show that content design matters more than bigger LLMs. Human eval + modular RAG pipelines boosted accuracy & trust. Top 5: Content > model, modular, human eval, heuristics, no gold sets. 📄 2025 https://t.co/HclHSW053K

I'm excited to share that I'll be speaking at the upcoming event hosted by @QuillAI_Network! About AI and the products I’ve built with my team. Come join now: Check out the details here: https://t.co/LyGFVLj2fi

🚀 Had a blast at the hackathon, building something truly useful! We created Postt – an AI-powered social media manager that writes, schedules, and manages your content automatically, saving you hours every week. Try it out here: https://t.co/WUxEgh7YdG Huge thanks to @dmwlff

I share the same vision as @near_ai, where the future will see over a trillion AI agents. To make this vision a reality, we need millions of developers and builders to create them. With over 27 million web developers already proficient in TypeScript, the foundation is strong for

Don't miss our event tomorrow 🤩

I’ll be going live tomorrow to talk about something I’m really passionate about, building AI agents that last! If you’re curious about the future of AI and how we’re shaping it in the One Trillion Agents Hackathon, come hang out with us on DevHub Live! I’ll be joining Maria