Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI is everywhere—writing emails, creating videos, even cloning voices. But artificial intelligence also comes with real risks, including privacy concerns, deepfakes, and smarter online scams. Artificial intelligence learns by spotting patterns in massive amounts of data—and that power can be misused. AI tools may collect personal information, create realistic fake content, or help scammers craft messages that look completely legit.

Celso explains how Markdown for Agents was conceived, built, and shipped in just one week, why AI systems prefer markdown over HTML, and how converting a typical blog post from 16,000 HTML tokens to roughly 3,000 markdown tokens can reduce cost, improve speed, and increase accuracy for AI models. We also explore Moltworker, a proof-of-concept showing how a personal AI agent originally designed to run on a Mac Mini can instead run on Cloudflare’s global network using Workers, R2, Browser Rendering, AI Gateway, and Zero Trust.

Over the past several weeks, OpenClaw and MaltBook have exploded across the headlines. Outlets have published stories about AI agents organizing themselves or even acting independently on Moldtbook. SecurityScorecard’s Jeremy Turner, VP of Threat Intelligence & Research and Anne Griffin, Head of AI Product Strategy discuss what OpenClaw is, how agentic AI works, and where the real security issues are based on new research from SecurityScorecard's STRIKE Threat Intelligence team.

Agentic AI won’t replace today’s technologies. It will amplify them. In today’s threat landscape, that’s a necessity. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale.

This week, in the episode – Guardians of the Enterprise, Ashish Tandon, Founder & CEO, Indusface, speaks with Madhur Joshi, CISO at HDB Financial Services (part of the HDFC Group), on how large financial institutions are navigating a rapidly evolving cyber threat landscape. The conversation covers the rise of AI-driven attacks, Cybercrime-as-a-Service (CaaS), and the growing complexity that comes with expanding digital footprints across cloud, applications, and APIs.