Thugir Labs: Security intelligence that actually reasons.

The $271B cybersecurity industry is built on this: IF [known signature] → ALERT IF [port open] → FLAG IF [CVE match] → REPORT Static. Reactive. Blind to anything it hasn't seen before. The gap isn't detection. It's reasoning. Taking 47 signals from 9 tools and understanding what they mean together. That's what a $200K/year senior analyst does. That's what most organisations can't afford. So I built the analyst. Here's what Thugir actually does: — Builds a live evidence graph of every asset, service, vulnerability, and credential on your network — typed nodes, weighted edges, single source of truth — Runs 9 specialist AI agents in parallel, each writing findings back into the graph in real time — Generates competing hypotheses: not "this port is open" but "this exposed service + this default credential + this unpatched system = a realistic path to your database" — Stress-tests every hypothesis in an arena where they compete against each other — weakest die, strongest survive — Validates adversarially — an adversarial sub-validator actively tries to disprove every finding before it surfaces. Nothing reaches confirmed without traceable evidence — Scores by real exploitability: CVSS × EPSS × CISA KEV × internet exposure × blast radius × lateral movement potential. Not severity. Probability of breach. — Produces attack paths: entry point → pivot → crown jewel, with attacker effort labels and choke point analysis — Auto-generates compliance evidence for 14 frameworks after every scan — HIPAA, ISO 27001, SOC 2, NHS DSP Toolkit, Cyber Essentials, NIS2, PCI DSS and more — Gets smarter every scan through persistent memory — patterns, false positive history, remediation outcomes What I want from today: Security engineers, MSPs, and IT teams who want to see what Thugir finds on a real network. I'll set you up directly and work with you personally. If you want to dig into the architecture — I'm here all day. Ask me anything. Comment or DM. I'll reply to everything. 🙏