Insights

Writing from the field.

Research and perspectives from the Kindo library on AI systems, governance and security.

01

Mythos and the vulnerability storm

Why the patch cycle is no longer enough, and what continuous, agentic remediation looks like when the scanner finds tens of thousands of problems.

02

The evolution of AI interfaces

From chat box to control plane: how the surface for AI work is moving from conversation to governed execution.

03

From tool sprawl to intent control

Enterprises do not need more tools. They need a layer that turns intent into governed action across the ones they already have.

04

Defending against advancing frontier models

As frontier models get better at offense, the only durable defense is a governed agent that reasons at the same speed. Here is how enterprises hold the line.

05

Hacker protection, rebuilt for the agent era

Protecting an enterprise from modern attackers is no longer a wall. It is a live, reasoning defense that thinks like the intruder and never sleeps.

06

The autonomous on-call security division

A SOC that scales with signal instead of headcount: agents that carry the pager, triage the noise, and escalate only what a human should decide.

07

Building an AI-native SOC

What a security operations center looks like when governed agents are first-class operators, not a bolt-on chatbot.

08

Autonomy your compliance team will approve

Why governance, not intelligence, is the thing standing between the enterprise and autonomous agents — and how to close it.

09

The AI-native control plane for agentic execution

What it means to run autonomous agents across security, DevOps and IT from one governed layer, inside your perimeter and on the record.