Argus continuously discovers your assets, fingerprints their technologies, correlates threat intelligence, validates findings with evidence, and prioritises by real-world risk — not generic severity scores.
Attack-surface discovery, threat intelligence, evidence-based detection, and AI-powered analysis — in one platform.
Thousands of vulnerabilities are disclosed every month. The hard part isn't finding them — it's knowing which assets are affected, which are actually exploitable, and which demand action today.
The challenge is no longer finding vulnerabilities. It's understanding which ones matter.
Scroll to watch the noise collapse into action.
Every asset flows through the same five stages — continuously, not once.
Hover any finding — the asset, evidence, threat signals, and recommended action update live. This is the real Argus prioritisation view.
Argus’ proprietary security reasoning engine that investigates findings, validates risk, and explains security decisions using evidence-backed analysis.
Most security tools identify findings. GHOST investigates them — it develops and tests theories, validates exploitability, and explains its conclusions with evidence, not assumptions. Rather than blindly trusting vulnerability data, it continuously asks the questions an analyst would:
Watch one finding move from observation to validated conclusion — confidence rising only as evidence accumulates.
Generates and evaluates attack theories rather than executing static playbooks.
Findings require supporting evidence before they are promoted to confirmed risk.
Every conclusion ships with its reasoning, supporting evidence, and a confidence level.
Operators stay in control of offensive actions and validation workflows.
GHOST transforms security assessment from a checklist exercise into an evidence-driven investigative process.
A finding is a claim, and a claim needs proof. Argus shows exactly how it reached each conclusion — the banner it read, the version it attributed, the CPE it bound, the intelligence behind it, and how confident it is. When it can't be sure, it says so.
The AI assists only with identification and relevance review — it can never invent a finding. That's the difference between an intelligence platform and a scanner that guesses.
Argus weighs real-world exploitation, not just CVSS — so a high that's being exploited outranks a critical that isn't.
Flagged when a vulnerability is confirmed exploited in the wild — it jumps the queue regardless of CVSS.
The statistical likelihood a CVE will be exploited in the next 30 days.
Whether working exploit code is publicly available — far more dangerous than theoretical.
KEV entries tied to known ransomware campaigns.
Version-aware: the CVE actually applies to the version you run — not just the product.
An upstream-range match on a distro package is caveated, not over-claimed.
Argus combines asset exposure, exploit availability, active exploitation, threat intelligence, and business impact into a single, defensible priority — so your team fixes what attackers are actually using.
An analyst, not a scanner — plain-English answers grounded in your scan evidence.
Cut alert fatigue — focus only on the threats that are real and reachable.
Monitor many client environments efficiently, with internal-scanning agents for non-public hosts.
Continuously understand your external exposure as it changes with every deploy.
Maintain visibility and evidence for SOC 2, PCI-DSS, and ISO 27001 readiness.
Actionable, defensible risk visibility and reporting — without the noise.
Most tools bury you in findings. We're building the opposite: a rigorous, evidence-first intelligence platform that continuously understands your environment and tells you what actually matters — with the proof to back every claim. Research-driven, deterministic where it counts, and honest about its limits.
It maps your external attack surface from a domain or IP — subdomains (certificate transparency), DNS, open ports and services, and the technologies running on them. Internal/non-public hosts are covered by an outbound-only, scope-limited agent you install.
From a feed-independent risk floor (observed exposure + intrinsic exploitability) plus real-world threat-intel escalation (CISA KEV, EPSS, public exploits), all version-aware. Threat intel only adds — it never founds the score — so a feed outage degrades precision, not visibility.
NVD (CVEs + CPE dictionary + CVSS), CISA KEV (active exploitation), EPSS (exploitation probability), ExploitDB (public exploits), and retire.js (vulnerable JavaScript libraries) — all synced locally so results are deterministic.
The AI assists with software identification and relevance review, and explains findings in plain English. It can never invent a finding — every conclusion is backed by deterministic, version-range-aware matching and shown with its evidence and confidence.
A scanner lists CVEs by severity. Argus correlates them to the exact versions you run, weighs real-world exploitation, validates with evidence, and tells you what to do first — turning thousands of findings into the few that matter.
Continuously. Argus re-scans on a schedule, diffs against the last result, and alerts you when something meaningful changes — plus a weekly intelligence digest.
Argus continuously discovers assets, correlates threat intelligence, validates findings, and tells you exactly what matters.