I think I need a whole new brain to tackle all the issues around #bots and #ai and #aiagents.

**AegisGate v1.3.7 is live!**

We built a 19MB proxy that catches 95%+ of MCP supply chain attacks.

When OX Security called MCP "the mother of all AI supply chain attacks" (https://www.ox.security/blog/the-mother-of-all-ai-supply-chains-critical-systemic-vulnerability-at-the-core-of-the-mcp/), they were right. Their solution: expensive registries and vendor audits. Ours: one Docker command.

https://github.com/aegisgatesecurity/aegisgate-platform
https://aegisgatesecurity.io

#MCPSecurity #AIsecurity #OpenSource #CyberSecurity #InfoSec #AIAgents #ThreatDetection #Compliance #DevSecOps #AppSec

The Architectural Flaw at the Core of Anthropic's MCP

OX researchers uncovered an architectural RCE vulnerability in Anthropic's Model Context Protocol — affecting 150M+ downloads

OX Security
AWS introduced a managed AgentCore harness and says teams can stand up a working agent in three API calls. We mapped what that changes, and what still needs hard engineering work before production use. https://go.aintelligencehub.com/ma-awsagentcoremanagedha #AI #AIAgents #CloudComputing
AWS Says AgentCore Can Launch Agents in Three API Calls

On April 22, 2026, AWS added a managed AgentCore harness and said teams can launch a working agent in three API calls, shifting effort from setup code to governance and operating controls.

🤖 Specialized AI agents are transforming dev in 2026—architecture, review, testing agents. Beyond just Copilot.

https://dev.to/elysiumquill/the-rise-of-specialized-ai-engineering-agents-beyond-copilot-in-2026-2898

#AI #DevTools #AIAgents #SoftwareEngineering #MachineLearning

The Rise of Specialized AI Engineering Agents: Beyond Copilot in 2026

How specialized AI engineering agents are transforming development in 2026—a practical comparison, workflow guide, and skills roadmap for the agent-augmented era.

DEV Community
ICYMI: AI agents leak owner data at scale, study finds - and it is not by design: Research on 10,659 AI agent pairs finds agents systematically mirror owner behavior across 43 features, with 34.6% exposing sensitive personal data publicly. https://ppc.land/ai-agents-leak-owner-data-at-scale-study-finds-and-it-is-not-by-design/ #AIAgents #DataPrivacy #CyberSecurity #ArtificialIntelligence #PrivacyConcerns
AI agents leak owner data at scale, study finds - and it is not by design

Research on 10,659 AI agent pairs finds agents systematically mirror owner behavior across 43 features, with 34.6% exposing sensitive personal data publicly.

PPC Land
15 AI Agents Turned SEO Data Into Music — Sushi Lo-Fi | SushiNearMe

YouTube
3/5 Pro pour les tâches lourdes : raisonnement, code, agents, workflows complexes. Flash pour aller vite et réduire les coûts. Bref : moins de poudre magique, plus de puissance utile. 🛠️🧠 Et ça, les paywalls IA n’aiment pas beaucoup. #Innovation #AIAgents
Anthropic’s new Project Deal report says 69 employee agents closed 186 trades worth over $4,000, with better models often getting better results. This is a real signal for agent commerce design: https://go.aintelligencehub.com/ma-anthropicagentmarketp #AI #AIAgents #EnterpriseAI
Anthropic Let AI Agents Negotiate Real Office Trades. The Price Gap Was Hard to See.

Anthropic says Claude agents closed 186 deals worth over $4,000 in a one-week office marketplace. The key signal is that stronger models captured better outcomes while many users did not clearly see the gap.

An open-source agent tooling project is gaining traction by moving guardrails out of prompts and into API-layer enforcement. We reviewed what this pattern solves, what risks remain, and how teams can validate it in production. https://go.aintelligencehub.com/ma-opensourceagentguardr #AI #AIAgents #DevTools
Open-Source Project Hits 800+ Stars by Enforcing AI Agent Rules Outside the Prompt

Caliber argues prompt-only controls are not enough for production AI agents. Its API-layer policy approach reached 810 GitHub stars and 101 forks by April 26, 2026.

In Anthropics Projekt Deal verhandelten Claude Opus 4.5 und Claude Haiku 4.5 autonom über physische Waren. Opus erzielte signifikant bessere Preise und Margen. Nutzer bemerkten die finanziellen Nachteile des Haiku-Modells nicht. Prompting veränderte die ökonomischen Ergebnisse nicht maßgeblich.

#ClaudeOpus #Anthropic #AIAgents #LLM #AIGeneratedImage
https://www.all-ai.de/news/beitrage2026/ki-verhandlungen-anthropic

Starke KI zieht schwache KI bei Verhandlungen ab

Ein neues Anthropic-Experiment zeigt, wie künstliche Intelligenz selbstständig physische Güter handelt. Schwächere Modelle ziehen dabei völlig unbemerkt den Kürzeren.

All-AI.de