Launch · Government, Defense & Space

Aquila I publishes whitepapers on AI cyber defence

By Startup Enthusiast · 11 July 2026

What they do

Aquila I is an AI-native cyber defence platform based in Mumbai

It published three technical whitepapers detailing its Security Data Lakehouse and AI micro-agents

The whitepapers show investigation times of minutes versus hours for manual work

Aquila I is an AI-native cyber defence platform based in Mumbai.
The company published three technical whitepapers laying out its architecture and testing scenarios.
The whitepapers describe a Security Data Lakehouse that normalizes telemetry into OCSF format.
The platform uses specialized AI micro-agents for distinct security functions.
An arbitration layer evaluates conflicting agent conclusions and escalates to human analysts.
The design follows bounded autonomy: routine triage is autonomous, but critical actions require human approval.
Every agent decision is logged, explainable, and auditable, with analyst feedback improving the system.

Enterprise environments generate hundreds of thousands of alerts daily, overwhelming analysts.
The industry is moving toward agentic AI, AI copilots, and autonomous workflows in security operations.
Future SOCs will need to investigate AI identities and machine reasoning.

Aquila I provides an AI-native cyber defence platform for enterprises.
Its core product is a Security Data Lakehouse that creates a unified, tamper-proof data foundation.
The platform normalizes telemetry at ingestion into the OCSF standard.
Data is organized around security entities: users, devices, and applications.
It supports sub-second queries at petabyte scale with full retention and no sampling.
The platform deploys across multi-cloud environments.
It uses specialized AI micro-agents for functions like log baselining, threat intelligence, and response.
An arbitration layer handles conflicting agent conclusions and escalates to humans when needed.
The system logs every decision for explainability and auditability, and learns from analyst feedback.