CORTEXA Bunch of Prompts That Benefit from the Smartest Models
LifeOS is the open-source Life Operating System. Memory, skills, hooks, agents, voice — yours, local, sovereign.
13 juil.
IA générative, LLMs, recherche en machine learning et impacts sociétaux.
1455 articles
S’abonner (RSS)LifeOS is the open-source Life Operating System. Memory, skills, hooks, agents, voice — yours, local, sovereign.
The headline feature of v20.0.0 is a brand-new set of AI-themed challenges, exploring the security pitfalls of LLM-backed features in modern web applications: Chatbot Prompt Injection ⭐⭐ — a gentle introduction to making LLMs spill the juice. Greedy Chatbot Manipulation ⭐⭐⭐ — for hackers who want to coax more out of the model than intended. AI Debugging ⭐⭐ — because even artificial intelligence sometimes needs a human in the loop. These challenges require a configured LLM/AI endpoint to func
Gemini Enterprise for Customer Experience is built on Gemini models developed by Google DeepMind. But having access to Google DeepMind's world-leading research and frontier models is the starting line. A brilliant model is only as powerful as the foundation it runs on. To put human-grade customer experience agents into production - where milliseconds of latency matter for voice interactions and hallucinations pose real business risks - you need a platform engineered for performance. This is why
Stop AI agents from going rogue with real-time runtime monitoring. Capsule Security protects AI agents across workflows with instant anomaly detection.
The official documentation for the Agent2Agent (A2A) protocol. The A2A protocol is an open standard that allows different AI agents to securely communicate, collaborate, and solve complex problems together.
Once you’ve built your agents, you will need to publish and offer them on Google Cloud Marketplace. This is where you describe your agent and define availability and pricing models. The seller journey begins in the Producer Portal accessible through Google Cloud Console: Select Solution Type: Choose "AI Agent as a Service" as the product type in the Producer portal. Upload Agent Card: Provide the Agent Card JSON file via a Google Cloud Storage (GCS) bucket. Availability: Decide whether the
Discover how Google Cloud's billing access control resource allows users to create & update access permissions for various roles in an organization.
After successful procurement, the customer's administrator links the purchase to their actual Gemini Enterprise app environment: Redirect to Gemini Enterprise: The Discovery Engine Administrator will see a "Go to Gemini Enterprise" option directly on the procured Marketplace listing. Project Verification: Clicking this prompts the administrator to log into the Google Cloud project where their Gemini Enterprise licenses are allocated. Note that the customer must ensure this destination Google
Today, we’re bringing partner-built agents from Agent Marketplace directly into the Agent Gallery inside the Gemini Enterprise app. Discover specialized AI from partners like Adobe, Atlassian, and more.
Secure and govern AI agent connectivity with Agent Gateway. Centralize access policies, mTLS, and Model Context Protocol (MCP) security for agent-to-agent and agent-to-tool interactions across diverse runtimes.
2026 State of infrastructure in the agentic AI era
Explore how attackers can hijack Comet browser to takeover 1Password vaults with zero-click calendar exploits. AI agent vulnerabilities.
SCAM - Security Comprehension Awareness Measure | Open-source benchmark that tests AI agents' security awareness during realistic, multi-turn workplace tasks. - 1Password/SCAM
Securely manage AI agent authentication and access to sensitive data with 1Password. Reduce risks, gain visibility, and scale automation safely.
Google’s newest London building, Platform 37, is named to honor Google DeepMind’s AlphaGo.
Join us June 17–18 for the London Summit 2026. Explore what’s next for generative AI, infrastructure, and security at the year’s must-attend cloud conference – register now.
VirusTotal
Today, a JSON file or plain-text markdown instructions can compromise environments just as effectively as compiled malware. This shift fundamentally redefines what malicious looks like, as the danger now resides in the semantic intent of common text files that AI agents are designed to trust. These artifacts do not need to contain exploit code to be high-risk, they simply need to provide instructions that steer an agent’s autonomous actions toward unsafe behavior, data exfiltration, and the sile
Learn how agentic cloud operations and Azure Copilot connect observability, governance, and optimization to help you move from insight to action.
Microsoft IQ unifies enterprise data, context, and knowledge to power AI agents and Copilot with consistent, secure intelligence at scale.
What 5M daily Model Context Protocol tool calls reveal about how AI agents are actively participating in enterprise work.
How the Government of Alberta is leveraging artificial intelligence to rapidly and securely transform its technical estate.
Control how many tokens Claude uses when responding with the effort parameter, trading off between response thoroughness and token efficiency.
Claude Science is your AI workbench for scientific research. Works through your research like a skilled scientist, running the analysis and tracing every step. Spend less time stitching pipelines together, and more time on the science.