Productivité

How Slackbot transforms scattered enterprise data into executive-ready insights

During a product demonstration, Amy Bauer, Slack's product experience designer, showed how Slackbot can synthesize information across multiple sources. In one example, she asked Slackbot to analyze customer feedback from a pilot program, upload an image of a usage dashboard, and have Slackbot correlate the qualitative and quantitative data. "This is where Slackbot really earns its keep for me," Bauer explained. "What it's doing is not just simply reading the image — it's actually looking at the

Collaboration: A Unified Future

Recognizing the complementary strengths of both frameworks, stakeholders from the OASIS OpenEoX Technical Committee and Ecma TC54-TG3 (CLE working group) have formally established a collaborative partnership, explicitly affirming that OpenEoX and CLE address distinct yet interconnected aspects of lifecycle management rather than competing alternatives. In short, these standards do not compete with each other. Instead, both working groups are committed to a collaborative model where each standard

Accelerate detection, prioritization, and response with AI embedded in SecOps workflows

Protect your multicloud, multiplatform environment with AI-powered unified SecOps from Microsoft Security. Anticipate cyberthreats and prevent cyberattacks.

1 utilisateurs de Billion ChatGPT

ben's bites30 juil.

Table & Workflow Enhancements

Drag-and-drop column ordering Column pinning and reset controls Better usability for large datasets

LLMs and Automation

Overall, there is too much data in engagement logs for anyone to manually review, causing a bottleneck for analysis. To combat this issue, Janus produces normalized JSON for every task and result, making operational data usable by LLMs. Users should ensure any data shared with LLM services aligns with their organization’s data handling policies. For sensitive environments, this can be done using self-hosted models or hosted options such as Amazon Bedrock. Instead of digging through logs, teams c

Workflow Analysis

This layer focuses on how operations unfold over time, where they break, and where time is lost: callback-health – Which implant sessions show instability, failure patterns, or crashes? dwell-time – Where are operators losing time between tasks? parameter-entropy – Which arguments look anomalous or out of place?

GPT-5.6 s'aide lui-même, la boucle d'agent de ChatGPT, guide de délégation d'agent

TLDR Data30 juil.

Réseau de cellules Starlink, DoorDash drones, à l'intérieur des optimisations ChatGPT

TLDR Data30 juil.

Introduction

Google Threat Intelligence Group (GTIG) identified a multistage intrusion campaign by a newly tracked threat group, UNC6692, that leveraged persistent social engineering, a custom modular malware suite, and deft pivoting inside the victim’s environment to achieve deep network penetration. As with many other intrusions in recent years, UNC6692 relied heavily on impersonating IT helpdesk employees, convincing their victim to accept a Microsoft Teams chat invitation from an account outside their or

Threat Details

In late December 2025, UNC6692 conducted a large email campaign designed to overwhelm the target with messages, creating a sense of urgency and distraction. Following this, the attacker sent a phishing message via Microsoft Teams, posing as helpdesk personnel offering assistance with the email volume. The victim was contacted through Microsoft Teams and was prompted to click a link to install a local patch that prevents email spamming. Once clicked, the user’s browser opened an HTML page and ult

THE SNOW Ecosystem

The original phishing link (https://service-page-25144-30466-outlook.s3.us-west-2.amazonaws.com/update.html?email= .com) delivered via Microsoft Teams directs the victim to a landing page masquerading as a "Mailbox Repair Utility." This interface is designed to elicit user engagement through various on-screen buttons.

From visibility to response: 1Password for SOC workflows

Modern security teams increasingly rely on integrated security operations center (SOC) workflows that correlate signals and alerts, while orchestrating detection responses in real time. Behind every alert is an identity: a person, a service account, an API key, or an AI agent. However, when remediation requires manual steps, investigation and response slows, increasing security risks.

Example workflows

During a deployment, a GitHub Actions workflow uses a 1Password service account to retrieve and inject environment variables into the build process.A Node.js application running in a Kubernetes pod uses the 1Password SDK with a service account to read database connection strings from a 1Password Environment at startup.While working in an AI‑assisted IDE, a developer asks the agent to run a 1Password CLI-powered Makefile command, automatically injecting credentials from 1Password Environments whi

Securing programmatic access across every development workflow

Bringing programmatic access to 1Password Environments allows you to use secrets directly in the tools and workflows where code runs, not just in a fixed set of destinations. Meanwhile, desktop authentication for SDK integrations gives you a simple, secure way to build tools that act with a signed‑in user’s session. Together, these capabilities expand how you can access and use 1Password programmatically, whether it’s powering your CI/CD pipelines via user-authenticated sessions or enabling auto

Automation goes from helper to replacement

The transition here is automation going from a thing that helps humans do their jobs better—improves productivity and efficiency—to being a way for companies to get to their ideal state of being able to do all the work themselves. This is colossal. This is economy changing. This really is the end of labor. There's labor and there's capital and these have always been in balance. It gets disrupted because companies have always wished they could do all the work without employees. If you're a single

Tier 3: Browser Automation - Full JavaScript Execution

When even perfect headers aren't enough (because the site needs actual JavaScript execution), we use Playwright. typescriptimport { chromium } from 'playwright'; const browser = await chromium.launch(); const page = await browser.newPage(); await page.goto('https://dynamic-site.com'); await page.waitForLoadState('networkidle'); const content = await page.content();123456789 This is an actual Chrome browser running - not pretending, actually executing: Real JavaScript rendering - React, Vue, A

Type 4: The slack in the rope restriction

This seems related to the third, but it's sneaky and colossal. This is another inertia problem, but much larger in scale. It's like Type 3, but for society as a whole. A lot of people would say that it's obvious that a 4-year education in something like computer science in a 4-year university should not take that long. They would say that the limitations are societal and institutional, and this is the reason that things are still done the way they are. We've got ancient textbooks that cost an ex

The Hook System: Event-driven automation

Hooks are the nervous system of PAI. They fire automatically at specific lifecycle events: EventWhen It FiresExample HooksSessionStartNew conversation beginsLoadContext — injects SKILL.md + Steering RulesUserPromptSubmitEvery user messageFormatReminder — detects response mode, routes capabilitiesExplicitRatingCapture — captures 1-10 ratingsImplicitSentimentCapture — detects emotional toneUpdateTabTitle — sets terminal tab to current taskPreToolUseBefore any tool executesSecurityValidator — block

The Hook System: Event-Driven Automation

🪝 Hooks are the nervous system—they connect everything automatically. We've covered Skills (WHAT to do), Context (WHAT to know), and History (WHAT to remember). Now let's talk about WHEN things happen automatically. The Hook System makes your personalized Claude Code reactive.

The Power of Automation

Without Hooks: You'd need to manually: Load context each sessionLog every commandCapture outputs for laterExtract and save learningsTrigger voice narrationUpdate session state With Hooks: All of this happens automatically. You just work. The infrastructure captures everything. This is what "YOUR cognitive operating system" means. The system doesn't just respond to you—it actively maintains itself.

Yesterday Håkon Måløy, a stinky AI security researcher, unveiled several vulnerabilities with Mic...

Yesterday Håkon Måløy, a stinky AI security researcher, unveiled several vulnerabilities with Microsoft Copilot which could hypothetically allow an AI-like worm in Microsoft Office documents. the tl;dr-ish is that if you insert carefully worded instructions, as white-text thus making it invisible to the user, at the end of Microsoft Office documents, Microsoft Copilot will follow the instructions given to it. The problem with this method (as is tradition), is that the text is still visible in the document if highlighted by the user. Hence, doing something as simple as CTRL+A would render the text visible to the user. Regardless, Håkon Måløy successfully appended white text to a Microsoft Office document that halved the values of company data presented in the document. In simple words, the appended white text manipulated company data in the Microsoft Word file. His second proof-of-concept demonstrated appended white texting propagating the appended white text to other Microsoft Office documents, thus making…

t.me30 juil.

From tricycle to Porsche: Salesforce rebuilt Slackbot from the ground up

Harris was blunt about what distinguishes the new Slackbot from its predecessor: "The old Slackbot was, you know, a little tricycle, and the new Slackbot is like, you know, a Porsche." The original Slackbot, which has existed since Slack's early days, performed basic algorithmic tasks — reminding users to add colleagues to documents, suggesting channel archives, and delivering simple notifications. The new version runs on an entirely different architecture built around a large language model and

How Slackbot transforms scattered enterprise data into executive-ready insights

During a product demonstration, Amy Bauer, Slack's product experience designer, showed how Slackbot can synthesize information across multiple sources. In one example, she asked Slackbot to analyze customer feedback from a pilot program, upload an image of a usage dashboard, and have Slackbot correlate the qualitative and quantitative data. "This is where Slackbot really earns its keep for me," Bauer explained. "What it's doing is not just simply reading the image — it's actually looking at the