Autonomous Infrastructure Discovery
Continuously identifies servers, services, exposed assets, internal infrastructure, cloud workloads, network topology, ports, protocols, and key infrastructure dependencies.
AI-Powered Infrastructure Exposure Intelligence Platform
Auto Scan LLM
Auto Scan LLM transforms raw vulnerability output into operational and business security intelligence by combining autonomous discovery, scanning, AI-assisted reasoning, and infrastructure context correlation.

From capture quality to explainable decisions, this platform covers the full operational trust lifecycle.
Continuously identifies servers, services, exposed assets, internal infrastructure, cloud workloads, network topology, ports, protocols, and key infrastructure dependencies.
Combines vulnerability scanning, NVD correlation, infrastructure context, RAG pipelines, and AI reasoning to generate attack narratives, risk explanation, and remediation guidance.
Evaluates exposure level, asset criticality, internet accessibility, service relationships, reachability, and business dependencies for intelligent prioritization beyond CVSS severity.
Translates technical findings into executive risk visibility, including operational disruption, compliance exposure, lateral movement potential, customer impact, and reputational implications.
Interactive SOC-oriented workspace unifying live telemetry, infrastructure intelligence, AI-generated findings, attack narratives, remediation workflows, and compliance correlation.
Supports on-premise, private cloud, and hybrid deployment models so infrastructure and vulnerability intelligence remain under enterprise control.
No per-token billing. Predictable monthly tiers that scale with your team.
Designed for small businesses and internal IT teams starting structured exposure intelligence.
$499/month
Up to 100 assets
Designed for growing enterprises and security teams requiring deeper operational intelligence.
$2,499/month
Up to 1,000 assets
Full-scale infrastructure exposure intelligence platform for high-scale and regulated environments.
Custom Pricing
Unlimited assets
Implementation scope is tailored to deployment model, compliance requirements, and integration depth. Typical onboarding starts at Guided onboarding package (typically 2-4 weeks), with enterprise programs commonly scoped at Expanded deployment scope (typically 4-8 weeks). Talk to us to get a custom quote.
Direct answers for compliance, platform architecture, and enterprise onboarding teams.
Auto Scan LLM is an AI-powered infrastructure exposure intelligence platform that turns raw vulnerability results into contextual operational and business-risk insights.
Traditional scanners list vulnerabilities. Auto Scan LLM adds infrastructure context, exposure analysis, attack narratives, remediation guidance, and executive-level impact intelligence.
Auto Scan LLM is designed for SOC teams, CISOs, IT operations, compliance teams, executive stakeholders, MSSPs, and regulated enterprises managing complex infrastructure risk.
Yes. Auto Scan LLM supports on-premise, private cloud, and hybrid deployment patterns, including sovereign and air-gapped environments.
The platform supports alignment with ISO 27001, SOC 2, PCI-DSS, NIST CSF, CIS Controls, GDPR, and HIPAA.
Book a 30-minute session to map your onboarding flow, deployment model, and compliance requirements to the right plan.