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Thugir Labs
Security intelligence that actually reasons.
Most security tools give you alerts. Thugir gives you answers. Point it at any network. 9 AI agents build a live evidence graph, form hypotheses, stress-test them adversarially, and surface what will actually get you breached — not a CVE list. Attack paths. With proof. Compliance evidence for 14 frameworks auto-generated after every scan. What a senior pentester finds in two days. Thugir does it in minutes.
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. 🙏
About Thugir Labs on Product Hunt
“Security intelligence that actually reasons.”
Thugir Labs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #27 on the daily leaderboard. Most security tools give you alerts. Thugir gives you answers. Point it at any network. 9 AI agents build a live evidence graph, form hypotheses, stress-test them adversarially, and surface what will actually get you breached — not a CVE list. Attack paths. With proof. Compliance evidence for 14 frameworks auto-generated after every scan. What a senior pentester finds in two days. Thugir does it in minutes.
On the analytics side, Thugir Labs competes within SaaS, Artificial Intelligence and Security — topics that collectively have 518.8k followers on Product Hunt. The dashboard above tracks how Thugir Labs performed against the three products that launched closest to it on the same day.
Who hunted Thugir Labs?
Thugir Labs was hunted by Ryan Editraj. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Thugir Labs including community comment highlights and product details, visit the product overview.
Ryan Editraj