Firmware Monitoring
Continuous polling of device firmware versions across routers, switches, firewalls, and IoT endpoints. Real-time delta alerts when vendor releases diverge from deployed versions.
PatchFlow AI orchestrates firmware monitoring, OS fragmentation analysis, and conflict-free update sequencing across your entire network — in one intelligent platform.
Most enterprise networks run dozens of OS versions, firmware revisions, and vendor stacks simultaneously. Manual patching workflows can't scale. PatchFlow AI closes the patch gap with AI-driven dependency simulation and automated rollout sequencing — before attackers can exploit the window.
Explore the Platform →A unified suite of tools purpose-built for network patch lifecycle management at enterprise scale.
Continuous polling of device firmware versions across routers, switches, firewalls, and IoT endpoints. Real-time delta alerts when vendor releases diverge from deployed versions.
Visual heat-maps of OS version spread across your fleet. Identify risky fragmentation corridors and prioritize homogenization efforts before they become exposure windows.
Aggregates NVD, CISA KEV, and 40+ vendor advisory feeds in real time. CVE metadata is cross-referenced against your asset inventory within minutes of publication.
Graph-based conflict engine maps inter-patch dependencies before deployment. Simulate rollout scenarios in a sandbox environment — catch breakage before it hits production.
AI calculates the optimal patch application order respecting service dependencies, maintenance windows, and SLA thresholds — guaranteeing zero service disruption.
One-click reports aligned to CIS, NIST CSF, PCI-DSS, and SOC 2. Exportable audit trails prove patch status to regulators and auditors without manual data gathering.
PatchFlow AI builds a live dependency graph of your entire infrastructure. Every update decision is informed by topology, not guesswork.
Patches are routed through segments in dependency order — critical path nodes always patched last to preserve network continuity.
CVSS scores are weighted against your asset criticality, exposure surface, and existing compensating controls to produce actionable priority queues.
Every deployed patch carries a cryptographically verified rollback snapshot. A single command restores any node to its pre-patch state within 90 seconds.
Lightweight 2 MB agent supports Linux, Windows Server, macOS, BSD, Cisco IOS, Juniper JunOS, and 60+ embedded RTOS environments.
From initial discovery to post-patch verification — PatchFlow AI handles the entire lifecycle.
Agentless scan identifies every node, firmware version, and OS build across on-prem and cloud assets in under 30 minutes.
CVE cross-reference and risk scoring produce a ranked patch queue sorted by business impact and exploit probability.
Dependency graph simulation validates the update order in a staging mirror before any production change is committed.
Automated rollout with real-time health monitoring and instant rollback if any service metric degrades post-patch.
PatchFlow AI modules are available individually or as a unified platform package.
Agentless asset discovery and firmware inventory for networks up to 10,000 nodes. Integrates with CMDB, ServiceNow, and Jira.
Real-time CVE feed polling, CVSS-weighted risk scoring, and automated patch prioritization aligned to NIST and CIS benchmarks.
Conflict-free update sequencing, dependency simulation, staged rollouts, and automated rollback — all in a single workflow engine.
Automated compliance reporting for CIS, PCI-DSS, HIPAA, and SOC 2. Exportable audit-ready PDFs with one click.
Executive dashboards, SLA trend analysis, MTTR benchmarks, and fragmentation heat-maps for security leadership reporting.
All modules plus dedicated customer success, SLA-backed uptime guarantee, custom integrations, and on-prem deployment option.
PatchFlow AI reduces mean-time-to-remediation, eliminates manual tracking spreadsheets, and gives your team provable compliance without the firefighting.
Reduce MTTR from days to hours with automated prioritization and one-click deployment queues.
Dependency simulation and staged rollouts ensure no patch ever takes down a production service.
Continuous evidence collection means you are always ready for a compliance audit — no sprint required.
Discover shadow IT, unmanaged OT devices, and legacy firmware that other tools miss.
A Tier-1 financial services firm was managing patch operations across 14,000 endpoints spanning 7 data centers and 3 cloud regions. Manual processes meant the team was always 6–8 weeks behind emerging CVEs. After deploying PatchFlow AI, the firm reached 99.3% patch compliance within 90 days — without a single service outage.
PatchFlow AI cut our average time to remediate critical CVEs from 12 days to under 18 hours. It is the most impactful tool we have added to our SecOps stack in three years.
The dependency simulation engine alone justified the purchase. We avoided three potentially catastrophic patch conflicts in the first month that our previous tooling would never have caught.
Compliance reporting used to take our team two weeks per quarter. With PatchFlow, it takes 20 minutes. That time is now spent on proactive threat hunting instead of chasing spreadsheets.
No. Discovery and inventory use an agentless scan by default. The optional 2 MB lightweight agent enables deeper telemetry, automated deployment, and rollback capabilities on supported platforms.
Our vulnerability feed aggregator polls NVD, CISA KEV, and 40+ vendor advisories with an average latency under 4 minutes from publication to alert delivery.
Yes. PatchFlow Enterprise supports fully air-gapped deployments with an on-premises feed mirror and an offline vulnerability database that is updated via cryptographically signed packages.
We support all major Linux distributions, Windows Server 2012+, macOS, Cisco IOS/IOS-XE, Juniper JunOS, Fortinet FortiOS, Palo Alto PAN-OS, and 60+ embedded RTOS environments.
The sequencing engine models your service dependency graph, calculates the safest patch order, runs a pre-deployment simulation, and monitors health metrics post-patch — triggering automatic rollback if any threshold is breached.
Yes. PatchFlow AI is SOC 2 Type II certified. We also hold ISO 27001, FedRAMP Moderate (in progress), and CSA STAR Level 2 certifications. Reports are available under NDA.
All plans include a 30-day free trial and dedicated onboarding support.
For teams managing up to 500 endpoints. Core discovery, CVE monitoring, and compliance reporting included.
For mid-market teams managing 501–5,000 endpoints with orchestration and simulation capabilities.
Unlimited endpoints, air-gapped deployment option, dedicated CSM, and custom SLA agreements.
PatchFlow AI connects natively with leading ITSM, SIEM, SOAR, and cloud platforms.
Talk to a PatchFlow AI solutions engineer. We will map your current patch workflow, identify risk exposure, and show you a live demo on your own asset data.
123 Market St, San Francisco, CA 94103, USA
We respond to all inquiries within 1 business day.
