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Search results for “Coding Agents”

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247 results for “Coding Agents”

  1. WriteOut shows why AI sandboxes do not replace boundaries

    #Writer AI#WriteOut#AI Security

    does The attack used a live preview feature for Writer agents. According to Sand Security, the preview ran under the same origin as the main application. That meant the victim's browser automatically attached the Writer

  2. VoltAgent organizes agent building in TypeScript and a console

    #VoltAgent#VoltOps#AI Agents

    engineering tool for developer teams that want to operate agents, not just experiment with them. The platform combines an open-source TypeScript framework with the VoltOps console, which the product page describes as

  3. Strix tests apps with autonomous pentest agents

    #Strix#AI Security#AppSec

    as another static warning feed, but as autonomous pentest agents that dynamically inspect applications, attempt to exploit possible weaknesses, and produce usable evidence. That puts Strix between a classic scanner,

  4. Salt Code Puts Security Rules Inside Coding Assistants

    #Salt Code#AI Coding#AI Security

    1, 2026. The product is aimed at teams that already use AI coding assistants in daily work and no longer want to discover every security issue only in pull requests, SAST scans or production. The core idea: security

  5. CISA warns of actively exploited Langflow RCE

    #Langflow#CVE-2026-9198#CISA KEV

    affects Langflow OSS, a visual tool for AI workflows and agents. IBM describes the issue as full remote code execution on default deployments. That is why the story matters: many teams still treat AI workflow builders as

  6. BrowserSkill connects AI agents to a signed-in browser

    #BrowserSkill#Tencent#Browser Automation

    is an open-source Tencent tool that connects AI agents to a signed-in Chrome or Edge browser. It combines a local command-line program, a background daemon, and a browser extension. Supported shell-capable agents include

  7. MESA shows where multi-agent systems break first

    #AI Agents#Multi-Agent Systems#AI Security

    that can fail. The risky parts are often the places where agents, tools, and intermediate results talk to each other. The authors Kunyang Li, Kyle Domico, Jonathan Gregory, and Patrick McDaniel describe MESA as a method

  8. LangGraph flaws show the risk of stored agent memory

    #LangGraph#LangChain#AI Security

    lab warning. LangGraph is used to build stateful AI agents: workflows that store steps, tool calls and intermediate results. That stored memory becomes the attack surface when an application passes user-controlled

  9. OpenScience brings the research cycle into one AI workbench

    #OpenScience#Research Tools#Open Source AI

    OpenScience connects literature review, hypotheses, code, experiments, and reports in a local browser workbench. The open tool is capable, but not automatically scientifically reliable.

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