Posts tagged "agentic-ai"
Wallarm: MCP Security Risks Jump 270% as AI Agents Multiply
Wallarm's latest API ThreatStats report logs a 270% quarterly surge in Model Context Protocol vulnerabilities. 315 MCP-related flaws, one already tied to a Top 10 breach, and a familiar root cause: Broken authentication. What the data says about the agent control plane and where to start hardening it.
NSA's MCP Security Guidance: Federal Cyber Policy Catches Up to AI Agents
The NSA's Artificial Intelligence Security Center has issued formal security design guidance for the Model Context Protocol, the open standard now wired into Claude, ChatGPT, Copilot, and 10,000+ production servers. Here's what triggered it, what the CSI changes for enterprise teams, and why the regulatory squeeze on MCP is just starting.
GitHub MCP Security Scanning Gives AI Agents an Immune System
GitHub's MCP Server security scanning hit general availability for secrets in May 2026, with dependency scanning entering public preview. What the scanner catches, what it still misses, and why a 66% finding rate across 1,808 servers made this rollout overdue.
Anthropic's MCP Tunnels Pull Credentials Out of Claude Agents
Self-hosted sandboxes and MCP tunnels let Claude Managed Agents call internal APIs and databases without carrying enterprise credentials in the agent context. What changed on May 19, the architecture Anthropic chose, and why it's a different bet from OpenAI's.
MCP Servers Turn Claude Into a Reasoning Engine for Your Data
The Model Context Protocol is transforming Claude from a chatbot into a live reasoning layer over enterprise data. Here's how MCP servers work, why adoption is accelerating, and what the security trade-offs look like in production.
MCP Turns Claude Into an AI Agent
The Model Context Protocol has become the standard way to connect AI assistants to tools and data. With 97 million monthly SDK downloads and support from major AI platforms, MCP is why an assistant can act inside your workflow instead of only answering questions.
Why MCP Security Can't Be Patched Away: What That Means for Your AI Stack
A Netskope researcher presenting at RSAC 2026 argues that MCP's security flaws are architectural, not fixable with patches. With 66% of scanned servers vulnerable and 50 catalogued CVEs, the Model Context Protocol's core design demands a fundamentally different defense strategy because LLMs can't separate content from instructions.
MCP Servers in Production: The Security and Governance Reckoning
Running MCP servers in production is nothing like running them on a laptop. With 30 CVEs in 60 days and real breaches already on the books, teams need gateway architecture, centralized governance, and hardened infrastructure before giving AI agents access to real systems.
Claude Code Channels Lets You Text Your AI Coder From Telegram and Discord
Anthropic shipped Claude Code Channels, turning its coding agent into an always-on assistant you can message from Telegram and Discord. Built on MCP and the Bun runtime, it directly challenges OpenClaw's grip on the personal AI agent market.
How the Model Context Protocol Is Reshaping Marketing Workflows
MCP is quietly becoming the connective tissue between AI agents and marketing tools. From Amazon Ads to campaign automation, here's what's changing and why marketers should pay attention.
Why the MCP Server Is Replacing the Traditional Data Feed
Traditional data feeds are buckling under the weight of AI-native workflows. MCP servers offer a smarter, context-aware alternative that's already reshaping how financial services, SaaS platforms, and enterprise teams consume data.
MCP Is Rewiring How Marketing Teams Talk to Their Ad Platforms
Amazon Ads shipped an MCP server. Hector AI built on top of it. Google and Meta integrations are live. Here's how the Model Context Protocol is quietly replacing the duct-tape holding marketing stacks together — and what it means for teams still running campaigns the old way.
MCP Needs an Observability Spec Before the Ecosystem Splinters
The Model Context Protocol standardized how AI agents discover and invoke tools. But it says nothing about how agents report what they did. A growing number of builders think that silence is becoming a liability — and they're sketching what a fix could look like.
MCP Is the Backdoor Your Zero-Trust Architecture Missed
The Model Context Protocol connects AI agents to enterprise tools — but it ships without authentication, authorization, or audit trails. With 7,000+ exposed servers and a growing list of CVEs, MCP has become the blind spot in your zero-trust perimeter. Here's what happened, what's at stake, and how to lock it down.
LangGraph Studio: Why AI Agents Need Their Own IDE
LangChain's LangGraph Studio brings visual debugging, state manipulation, and time-travel to agentic AI development. Here's how the first purpose-built agent IDE changes the way developers build, test, and ship autonomous AI systems.
Google Goes All-In on MCP With Managed Servers Across Cloud and Maps
Google just made every major cloud service agent-ready by launching fully managed MCP servers. Here's what changed, which services are covered, and why it matters for the AI agent infrastructure space.
Anthropic's Code Execution With MCP Cuts Agent Token Usage by 98.7%
Anthropic published a new engineering approach that turns MCP tool calls into code APIs, dropping token consumption from 150,000 to 2,000. Here's how it works, why it matters, and what it means for anyone building AI agents at scale.
AutoGen vs CrewAI vs LangGraph: Which Agent Framework Wins in 2026?
A hands-on comparison of the three dominant multi-agent AI frameworks (AutoGen, CrewAI, and LangGraph) covering architecture, production readiness, developer experience, and when to pick each one.
Anthropic Donates MCP to Linux Foundation's New Agentic AI Foundation
Anthropic hands the Model Context Protocol to a new Linux Foundation body co-founded with OpenAI and Block. Here's what the Agentic AI Foundation means for the future of AI interoperability, who's backing it, and why it matters now.
AI Agents Remember Everything, And That's a Privacy Problem
AI agents using the Model Context Protocol now share memory across services. A New America brief exposes the privacy gaps, security risks, and power dynamics that current laws can't handle, and proposes what to do about it.