About

I work at the intersection of artificial intelligence, security engineering, and large-scale infrastructure. My focus is building intelligent systems that help secure the world’s digital civilization. I founded Glemad, an AI research and product company developing the Autonomous Defense Transformer (ADT) model family, designed to reason about threats, compliance, and system behaviour with clarity and reliability.

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Pitch your product. Win $1M+

We re teaming up with The Pitch by @Deel, a global startup competition where up to 100 winners will receive $50k in funding and up to 10 winners will receive $1M+.

If you make the cut, you ll also show up on special Product Hunt leaderboards, starting with the first event on April 13.

David Idris

1d ago

Hi Product Hunt, I’m David Idris, founder and CEO of Glemad.

Today we re launching PulseADT, our autonomous defense platform built on the ADT model class. Security teams today rely on alerts, but attacks move faster than humans can respond. PulseADT changes that.

It continuously monitors systems, reasons over activity in real time, detects threats as they emerge, and executes containment automatically, all while remaining fully auditable. It works across cloud and on-prem environments, reducing mean time to detect to under a minute and enforcing policy-bound containment in minutes.

We ve already deployed PulseADT to protect over 680,000 assets. This is not just an alerting tool, it s a system that interprets, acts, and secures in real time.

I m excited to hear from builders, security engineers, and teams operating infrastructure. What matters most to you in a security system today: speed, insight, or autonomous defense?

PulseADT: Stop threats at machine speed

We are launching PulseADT to address a core gap in cybersecurity.

Most security tools are built to detect and alert. They depend on humans to interpret signals and respond. That model breaks at scale.

PulseADT takes a different approach.

It is built on the ADT model class and operates with continuous reasoning over system activity. Instead of matching rules, it understands behavior, identifies threats as they develop, and executes containment aligned with policy.

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