How It Works

The agentic AI platform for Unified Exposure Management.

The StarcSec Platform is the intelligence layer that powers everything we do — unifying signals from code, cloud, identity, infrastructure, and runtime into a single exposure graph, enriched, correlated, and prioritised by agentic AI.

This is the foundation that enables real‑time visibility, accurate prioritisation, and confident action across engineering and security teams.

Layer 1

Agentic AI Engine

Autonomous reasoning across every signal

StarcSec's agentic AI engine continuously analyses exposures across your entire environment. It reasons over relationships, evaluates exploitability, enriches context, and identifies what truly matters — without requiring manual tuning.

Agentic reasoning engine that understands relationships between assets, identities, and exposures
AI‑driven prioritisation based on exploitability, reachability, and business impact
Context enrichment using cloud metadata, identity mappings, and runtime signals
Adaptive scoring that evolves with your environment

The intelligence layer that transforms raw findings into actionable exposure insights.

Layer 2

Unified Exposure Graph

One model for your entire attack surface

At the core of the platform is the Unified Exposure Graph — a continuously updated, real‑time map of your entire environment. It connects assets, identities, configurations, vulnerabilities, misconfigurations, and runtime signals into a single correlated model.

Unified asset graph spanning code, cloud, identity, infrastructure, mobile, web, and network
Exposure relationships that reveal how issues connect across domains
Attack path mapping to show how exposures chain together
Correlation fabric that deduplicates and links findings automatically

The backbone of StarcSec — the structure that makes UEM possible.

Layer 3

Ingestion & Normalisation Layer

Bring every signal into one place

StarcSec ingests signals from scanners, cloud providers, identity systems, CI/CD pipelines, SIEMs, and runtime tools — then normalises them into a consistent schema.

Multi‑surface ingestion across scanners, cloud, identity, and runtime
Normalisation engine that standardises findings into a unified format
Deduplication logic to eliminate noise and repeated alerts
Real‑time streaming for continuous posture updates

Ensures every signal is usable, comparable, and correlated.

Layer 4

Security Data Lake

Your exposure history, indexed and queryable

StarcSec stores all exposures, correlations, and posture changes in a secure, queryable data lake — enabling deep analysis, historical reporting, and long‑term auditability.

Time‑series exposure history for posture trends and regressions
Queryable exposure store for investigations and audits
Long‑term retention for compliance and forensics

The foundation for reporting, analytics, and compliance.

Layer 5

Workflow & Orchestration Layer

Route the right work to the right teams

StarcSec orchestrates exposure workflows across engineering and security teams — ensuring every issue has an owner, a priority, and a path to resolution.

Workflow engine for routing exposures based on rules and ownership
Policy‑based routing to escalate issues automatically
Team mapping that aligns exposures to the correct engineering groups
MTTR analytics to measure responsiveness and operational performance

This layer ensures exposures move through your organisation efficiently.

Layer 6

Enterprise‑Grade Architecture

Built for scale, security, and reliability

The StarcSec Platform is designed for enterprises with thousands of assets, dozens of integrations, and complex environments.

High‑scale ingestion capable of processing millions of signals
Multi‑tenant isolation for secure, segregated environments
Role‑based access control for fine‑grained permissions
API‑first design for extensibility and automation

The infrastructure that ensures StarcSec performs at enterprise scale.

Get Started

See the platform in action.

Book a personalised walkthrough of the agentic AI engine and the unified exposure graph.

Request demo