A long, long time ago, in a land free of binary exploit mitigations, when Unix still roamed the Earth, there lived a pre-authentication Telnetd vulnerability. In fact, this vulnerability was born so long ago (way back in 1994) that it may even be older than you. To put the
Introduction 🔔 At Slack, notifications are how teams stay in the loop, but they can also become overwhelming when not designed with intention. Our goal was to make staying informed feel effortless. We set out to rebuild one of Slack’s most complicated systems from the ground up by bringing calm…
Meet Huntress Reseller Sales Manager Cody Browning. Learn how his grandmother's vishing scam inspired his career and fuels our mission to bring human-led cybersecurity to all businesses.
Huntress uncovers a tax-themed malvertising campaign using Google Ads, dual cloaking, rogue ScreenConnect, and an undocumented Huawei driver to kill AV/EDR.
Leonardo.AI processes more than 4.5 million images every day across cities worldwide, and Relevance AI's agents run autonomously across time zones, touching Salesforce, HubSpot, Slack, and dozens of other systems without pause. Neither company has a dedicated DevOps team. That's not an oversight…
Most knowledge agents start the same way. You pick a vector database, then build a chunking pipeline. You choose an embedding model, then tune retrieval parameters. Weeks later, your agent answers a question incorrectly, and you have no idea which chunk it retrieved or why that chunk scored…
You can now signup and deploy to Vercel through Stripe Projects. Available in developer preview, this CLI-based workflow lets teams and AI agents create infrastructure environments directly from the terminal. As a launch and design partner for Stripe Projects, Vercel enables a unified provisioning…
The technical blueprint for an AI-powered mirror that sees customers, analyzes their appearance, and delivers personalized product recommendations in real-time.
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
In early March, we gave the entire organization a challenge: figure out how to multiply your output. People created agents. Mostly chat bots, but dedicated ones, purpose-built for real workflow augmentation: the agents were doing things automatically that would otherwise be tedious and time…