IA générative, LLMs, recherche en machine learning et impacts sociétaux.
1455 articles
S’abonner (RSS)AI browsers can do things for you—but handing personal information over comes with security risks. One of these is a prompt injection attack, where hackers trick the AI into following their instructions instead of yours.
ChatGPT Agent can search the web, check prices, create spreadsheets and presentations, and save you a lot of time. But is it trustworthy? Here's what happened when I tested it out.
Discover how agentic AI revolutionizes IT operations, transforming DevOps and DevSecOps with autonomous capabilities to boost automation and security!
This advisory describes an ecosystem-level risk that emerges when AI agents are able to autonomously read and act on untrusted content while operating with user-level permissions in a web browser.
Contribute to elastic/detection-rules development by creating an account on GitHub.
The scale challenge isn't just about human users anymore. As organizations deploy an increasing number of AI agents, managing database identity and access controls will become more complex. If an AI agent connects to a database using a generic, shared account, or a broad service account, it risks acting as a confused deputy. When using credentials with overly-powerful permissions instead of carrying through the user’s identity, an agent could access or modify data beyond what the end user reques
With this launch, Google Cloud provides a unified approach for access control across both Cloud SQL and AlloyDB. Organizations can now enforce a standardized, defense-in-depth access strategy across their relational database portfolio. By pairing IAM group authentication with features like VPC Service Controls, Organization Policies, IAM conditions, and Private Service Connect, security teams can help ensure that database access — whether by a human engineer or an autonomous AI agent — is bound
Average load: It rarely tells the full story. A platform can appear stable while quietly absorbing constant internal work that never surfaces to users. Agentic AI introduces that kind of persistent demand. An agent continues operating in the background even after a user interaction ends. It checks for new inputs, revisits its internal state, then prepares the next action. That ongoing loop changes how infrastructure is consumed. Instead of handling activity in bursts, systems begin to carry a st
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