Cynerio vs Asimily:
2026 Comparison

Introduction

Cynerio and Asimily both help security, IT, and operations teams secure connected devices across cyber-physical environments: IoT devices such as cameras and building controls, operational technology (OT) such as programmable logic controllers (PLCs), and Internet of Medical Things (IoMT) devices such as infusion pumps. Cynerio’s product documentation covers IoT, OT, and IoMT assets, and its product pagecyber physical assets names manufacturing, utilities and energy, healthcare, transportation, and logistics as key industries. Asimily is an asset protection platform covering IoT, OT, middleware, AI agents, servers, and endpoints. It builds a unified asset inventory that correlates and normalizes data from the tools a team already runs, analyzes whether each vulnerability is exploitable with a MITRE-based ATT&CK Analysis from Asimily Labs, and then mitigates through segmentation, IoT Patching, and targeted actions that block specific exploits when possible. In hospitals it also leads with IoMT and clinical devices.

Axonius announced the acquisition of Cynerio in July 2025 (acquisition release), and SiliconANGLE reported in April 2026 that Cynerio’s current product was in early access (SiliconANGLE), and Axonius announced its general availability under the Axonius brand on October 22, 2026 (TechIntelPro).

The sections below compare the two products in the order a program usually matures: obtaining a normalized, trustworthy inventory first, then exposure management, threat and response capability enhancement. Risk mitigation improves throughout the maturity of a program, including but not limited to techniques like network microsegmentation.

1. Inventory and Visibility

Asimily builds a unified asset inventory, a single source of truth that correlates and normalizes data from the network and the tools a team already runs, so IT, OT, security, and clinical engineering teams work from one record per device. It combines deep packet inspection, AI and ML classification against a library of well over 10,000,000 observed devices and profiles, safe active querying, flow data, and correlation with over 150 different sources, such as Active Directory, CMDB, NAC, DHCP, vulnerability scanners, and Mobile Device Management. Active methods suit only devices that tolerate the traffic, so Asimily pairs them with passive collection.

Cynerio’s datasheet describes passive network discovery with selective active identification, and over a thousand integrations that aggregate, normalize, and correlate asset data. Most of those integrations, listed in Axonius’s adapters list, serve Axonius’s IT, cloud, and SaaS products rather than IoT or OT devices. Its product pagecyber physical assets adds that it maps device-to-device communication patterns, and its documentation says IoT discovery needs no agents or active scanning.

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2. Exposure Management

Inventory feeds exposure management and every security action in an asset’s lifecycle. Asimily ranks vulnerabilities by impact and likelihood to extract the riskiest from the rest. This typically narrows the work to the riskiest 1% of devices. Additionally, its ATT&CK Analysis tests whether a vulnerability is exploitable on a specific device in its network context, so teams work from a shorter list of the riskiest devices. Asimily’s risk analysis also draws on manufacturer security disclosures (MDS2 in healthcare) and software bills of materials (SBOMs), and Risk Simulator models how a fix would change a device’s risk score before anyone acts. This increases efficiency by allowing effort and benefit to be compared without making the effort. Cynerio’s datasheet describes prioritizing risk by operational role, exploitability, and business impact, and identifying weak credentials, outdated firmware, unsafe protocols, and insecure segmentation. Public Cynerio documentation we found does not describe MITRE-based mapping or analysis, NVD sourcing, SBOM use, or risk simulation.

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3. Threat and Response

On cyber-physical networks, detection has to work without touching the device. Asimily’s anomaly policies analyze network traffic for concerns that might lead to an alert, quarantine, or formal incident response process. These actions may involve blocking traffic to devices through NACs and supported firewalls when a policy is violated. These policies can include vendor-provided as well as custom rules that may be easily created via a wizard-like approach. For incident response, Asimily can record packets from a monitored device, on demand or when a policy is violated, so responders start with the traffic itself and not only an alert. Cynerio’s documentation describes policy actions such as network isolation on OT devices. Further, it describes workflows and enforcement sets that run on triggers or schedules and send alerts by email, chat, or ticket. Public Cynerio documentation we found does not describe anomaly detection, anomaly-triggered policies, packet capture, or MITRE ATT&CK mapping for threat detection.

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4. Risk Mitigation

Segmentation is a priority for most teams and still unfinished for many: Cisco’s 2025 Segmentation Report found that 79% call it a priority and only 33% have fully implemented it (Cisco). On production networks, the fear of blocking a device that is in use often stalls enforcement. Cynerio’s product pagecyber physical assets says it maps real device-to-device communication patterns to help teams validate segmentation policies before enforcement, and its documentation says segmentation and policy enforcement actions reach devices that cannot run agents. Axonius documentation lists actions that apply existing policies in NACs such as Cisco ISE, Forescout, and HPE Aruba ClearPass, and even one that disables a Palo Alto Networks Panorama firewall rule; these actions can run on a schedule, so new matching devices receive the same policy. Public Cynerio sources we found do not mention creating segmentation policies, or describe a simulation that runs a proposed policy against live traffic for a chosen period. Cynerio’s documentation describes virtual patching for medical devices and its datasheet describes identifying weak credentials.

Asimily’s Segmentation Orchestration does both. It creates conflict-free policies from actual device behavior, ranks them by exploitability, simulates them against live traffic with Policy Simulation, previews the Enforcement Plan, and applies policy through existing NACs and supported firewalls. Continuous Segmentation then applies NAC and firewall policies automatically to new matching devices. Asimily has no switch-level enforcement of its own, so it works through the NAC or firewall a team already runs. Asimily also adds IoT Patching and password management for supported IoT device types.

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5. Governance, Risk, and Compliance

Asimily’s Configuration Control captures configuration snapshots of IoT, OT, and IoMT devices to establish a known good state, detects configuration drift, and keeps a change history for audits. In healthcare, Asimily ProSecure gives pre-purchase risk data and hardening guidance for medical devices, and Asimily monitors open FDA, BfArM, and Health Canada recalls against the inventory. Cynerio’s datasheet describes continuous controls validation across IT, OT, and IoT, with dashboards and reporting aligned to frameworks that check inventory completeness, segmentation coverage, vulnerability posture, and control drift. Public Cynerio documentation we found does not describe device configuration snapshots, configuration change detection, pre-purchase risk modeling, hardening guidance, or recall monitoring.

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6. Sample Integrations

Both products integrate across IT and security tools. Cynerio’s datasheet cites over a thousand Axonius integrations that aggregate, normalize, and correlate its asset data, plus integrations with IT service management (ITSM) tools for remediation workflows. Asimily is the single source of truth that ingests, normalizes, and correlates device and network data from the tools a team already runs, so ATT&CK Analysis works with the fullest context, and it applies policy through supported NACs and firewalls. Key integration categories and sample products for Asimily include:

• AI & LLM Providers: Google Gemini, Anthropic Claude
• Network Traffic Sources: NetFlow, SNMP, sFlow
• Identity & Access Management (IAM): Active Directory/LDAP, Azure SSO, Okta
• DHCP & DNS: Infoblox, BlueCat, EfficientIP
• Network Access Control (NAC): Cisco ISE, Aruba ClearPass, Forescout
• Firewalls & Network Infrastructure: FortiGate, Arista Agni, Juniper
• Endpoint Detection and Response (EDR): CrowdStrike, SentinelOne
• CMMS / ITSM: ServiceNow Service Graph, EQ2

(not a complete list; new integrations added regularly)

7. Deployment Considerations

Asimily collects data from network traffic and integrations through the Asimily Edge collector software, which runs on a dedicated appliance, on a virtual machine, or on switches that support Cisco application hosting. Asimily is a cloud-based software as a service (SaaS) platform with on-premises deployment available. Cynerio’s documentation names the Axonius Network Inspector, offered as a physical device and as a software adapter, and its datasheet describes agentless discovery.

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Worked Example: Segmenting PLCs on a Plant Network

• Observe: Asimily’s passive analysis shows programmable logic controllers (PLCs) on one plant-network VLAN talking to a supervisory server and a time server, and to nothing else.
• Profile: Asimily classifies the PLCs by make, model, and firmware, identifies outdated firmware, and ATT&CK Analysis shows which of their exposures an attacker could actually use, so the group ranks high.
• Propose: Segmentation Orchestration drafts a policy that allows only the observed flows.
• Simulate: Policy Simulation runs the draft against live traffic over a period the team chooses and lists any port or service that would be blocked, before anything changes on the production network. During this period, any violations are flagged, but do not block traffic to ensure operations are not affected.
• Enforce: The Enforcement Plan shows the steps for the team’s existing NAC, such as a downloadable ACL (DACL) on Cisco ISE or Aruba ClearPass, or for a supported firewall.

How to Test Both in a Proof of Value

Asimily’s stated expectation is value within 48 hours and most devices identified within 14 days. Run the same checks on Cynerio and on Asimily, on one site of your own network:

1. List the devices each product finds on a sample plant, building, or clinical VLAN, including IoT, OT, IoMT, and IT devices.
2. Ask which discovered vulnerabilities are exploitable in your environment, and how risky they are.
3. Take one proposed segmentation policy (or generate one manually if the platform cannot) and record what it would block against observed traffic before it is enforced.
4. Check what each product does for a device that can be patched and for one that cannot, and how it tracks configuration changes.
5. Confirm in writing the current product name, availability status, deployment model, support model, and renewal terms.

When Cynerio Fits Better

Cynerio is a close fit for teams that want cyber-physical assets inside a broader asset management platform. These cases favor Cynerio:

• Existing Axonius platform. The datasheet describes Cynerio as a native extension of Axonius Cyber Assets and Exposures that contextualizes OT and IoT assets alongside IT assets, so teams that already run Axonius can extend that investment.
• Integration breadth. The datasheet cites over a thousand Axonius integrations feeding the same asset data.
• Controls validation dashboards. The datasheet describes continuous controls validation across IT, OT, and IoT, with dashboards and reporting aligned to frameworks. Confirm in a demo how each product produces audit evidence across IT and OT.

The Bottom Line

Cynerio: Cynerio, as described in its datasheet, documentation, and product page, passively discovers and classifies IoT, OT, and IoMT devices, prioritizes risk by operational role, exploitability, and business impact, and maps device communications to validate segmentation policy before enforcement. It suits teams that already run Axonius and want to add cyber-physical assets.

Asimily: Asimily builds a unified asset inventory first, across IoT, OT, IoMT, and IT assets and the software running on them, then analyzes exploitability with ATT&CK Analysis, then creates, simulates, and continuously maintains segmentation policy that existing NACs and supported firewalls enforce. Apart from discovery and segmentation, Asimily adds IoT Patching, Configuration Control, packet capture, and, for medical devices, recall monitoring and ProSecure pre-purchase risk data. Asimily has no switch-level enforcement of its own, so it works through the NAC or firewall a team already runs.

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