The Best SLED Cybersecurity Companies in 2026

Quick answer: The cybersecurity companies state and local government and education (SLED) teams most often evaluate for connected devices in 2026 include Asimily, Forescout, Ordr, Armis, Axonius, Claroty, Microsoft Defender for IoT, Tenable, and Fortinet. Asimily fits small teams that need one normalized inventory, a short exploitability-ranked list, and segmentation applied through the NACs and firewalls they already own. Forescout fits teams without a NAC.

Security teams defending state and local government and educational institutions face similar challenges, as CISA’s K-12 cybersecurity report describes for schools. They must protect a long list of connected assets, performing a wide range of functions usually operated by groups that are independent from one another, with a small staff and a budget that can shift from year to year. Connected equipment such as IP cameras, door controllers, building automation controllers, printers, and interactive displays, among others, often share the network with departments, student, staff, and records systems. Many of these devices can’t run an endpoint agent, and any device missing from the inventory is also missing from risk reviews and segmentation plans.

A good security platform for that environment finds every asset across IoT, OT, and IT whether it’s a single campus or the entire county. It then highlights which exposures an attacker could actually exploit on your network among the thousands of vulnerabilities typically present in complex environments. Ultimately, your security platform should tangibly reduce risk for everything connected, typically relying on the NACs, firewalls, and switches you already own, without taking cameras, doors, or building systems offline.

This guide covers the criteria that separate platforms suited for these environments from general security tools. It also provides a side-by-side view of the companies that appear most often in evaluations and explains where each one fits. Asimily publishes this guide and includes itself in the analysis. Our descriptions draw on public positioning, technical approaches, and our own market research and conversations. Please take this into account and perform your own independent assessment.

The Best SLED Cybersecurity Companies at a Glance

Asimily appears first as the publisher; the order of the other companies is not a ranking.

CompanyPrimary ApproachBest Fit For
AsimilyAgentless visibility with normalized asset inventory data, exploitability analysis that separates risk from severity, microsegmentation via Segmentation Orchestration with Policy Simulation, and IoT Patching across IoT, OT, and ITSmall teams that need a unified, normalized device inventory, a short exploitability-ranked list, and segmentation applied through existing NACs and firewalls
ForescoutDevice discovery, classification, and network access control across IT, OT, and IoTTeams that want visibility and network access control from one vendor, including teams without a NAC
OrdrAI-driven device profiling and least-privilege policy across converged IT and OTLean teams that protect devices through segmentation only, with AI-assisted policy applied through existing firewalls and switches
ArmisAgentless asset intelligence and exposure management across IT, OT, IoT, and cloudOrganizations standardized on ServiceNow workflows
AxoniusAsset aggregation from existing IT, security, cloud, and SaaS toolsIT-led teams that need to reconcile assets already held in other tools
ClarotyCyber-physical systems protection: asset management, exposure management, network protection, secure access, and threat detectionPublic safety and municipal operators that need secure remote access for vendors
Microsoft Defender for IoTAgentless network sensors for OT and IoT monitoringOrganizations with large existing investments in Microsoft security tools
TenableOT vulnerability management with passive monitoring and active device queries, inside Tenable OneTeams that want device inventory inside an existing Tenable program
FortinetFirewalls and secure networking with OT protocol supportOrganizations consolidating network and security on one vendor
What to Look for in a Cybersecurity Company for SLED Organizations

SLED environments break assumptions that most security tools are built on: many devices can’t take agents, teams are small, facilities are spread across buildings and campuses, and a blocked connection can take a camera, a door, or a classroom system offline. Use these criteria to test whether a platform was built for schools, campuses, public safety agencies, and municipal networks:

1. Visibility Across Campuses, Buildings, and Public Safety Devices
  • Agentless Discovery: Discovers cameras, door controllers, building automation controllers and the sensors behind them, printers, and interactive displays, among others, captured agentlessly into a unified inventory with normalized data across live operations, starting passive and querying only where a device tolerates it.
  • Multi-Facility Topology: Provides clear network topology and flow data across every school, office, and campus, using appropriately sized sensors so a small school isn’t expensive to cover.
  • Unified Asset Inventory: Normalizes IoT and IT assets that may share the network with student, staff, and records systems, so nothing bridges into them unmonitored.
2. Prioritization by Exploitability Using Likelihood for Small Teams
  • Contextual Exploitability: Determines whether a vulnerability is actually exploitable on a specific device in your topology, going beyond generic CVSS base scores.
  • Safety and Continuity Focus: Prioritizes risk reduction while protecting student safety and service continuity, because a small team can’t work a long list.
  • Actionable Output: Delivers a short, ranked list of decisions, each with a documented reason for its ranking.
3. Enforcement You Can Prove Before You Deploy
  • Native Policy Integration: Generates policies in native formats for existing tools like NACs (e.g., Cisco ISE) and firewalls to overcome segmentation project stalls.
  • Traffic Previews: Simulates policy impact against real, observed traffic to prevent unexpected disruptions before enforcement, and keeps policy current as devices change.
  • Avoid Network Disruption Risk: Avoids risky re-IP projects for IoT such as cameras, doors, and building systems by working directly on existing network infrastructure.
4. Mitigation for Devices You Can’t Patch
  • Compensating Controls: Recommends targeted mitigations (e.g., disabling unused services, updating default credentials, microsegmentation) when devices such as cameras or building controllers cannot be patched.
  • Selective Patching: Centrally manages manufacturer-approved patches for the IoT devices that support them, shrinking the list that needs compensating controls.
5. Monitoring and Incident Response Readiness
  • Clear Alerts: Produces a few clear alerts rather than a queue, with anomaly policies that notify or quarantine and alerts on any device parameter without writing code.
  • Configuration Drift Detection: Monitors assets such as building and door controllers for unexpected configuration changes.
  • Targeted Packet Capture: Provides native packet capture for any device during an incident to speed investigation.
6. Compliance and Procurement Evidence on Demand
The Best SLED Cybersecurity Companies in 2026
1. Asimily

Asimily is an asset protection platform covering IoT, OT, middleware, AI agents, servers, and endpoints. For SLED organizations, it can unify diverse devices such as cameras, door controllers, building systems, printers, and the IT network into one normalized inventory, so a small team can pinpoint risk and contain the riskiest devices.

Discovery is agentless, combining passive network analysis with safe queries where supported by manufacturers. Asimily’s ATT&CK Analysis measures if an exploit is likely based on a vulnerability and the customer’s specific configuration and network context.

Segmentation Orchestration simulates and applies policy through existing NACs and firewalls, preserving device IPs. Asimily has no switch-level enforcement of its own. Configuration Control detects drift, while native packet capture speeds investigations. Additionally, Risk Simulator models mitigation impact, and IoT Patching updates firmware and passwords on supported devices.

Recognition: 2026 Merit Awards winner, rated 4.9/5 on Gartner Peer Insights (55 reviews, Oct 2026).*

*Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Best fit for: Small teams needing a unified, normalized asset inventory across schools, campuses, and municipal facilities, exploitability-based prioritization, and microsegmentation guidance that is validated before enforcement.

What to evaluate: Discovery of IoT and OT, such as cameras and building controllers at one of your facilities, and the recommendations for risk reduction against those assets.

2. Forescout

Forescout discovers and classifies devices across IT, OT, and IoT and pairs that visibility with policy enforcement and automated response, building on its network access control heritage. Its platform was renamed Forescout Vistaro in June 2026 (Forescout). Its built-in access control can serve as the enforcement point for teams without a NAC.

Best fit for: Teams that want device visibility and access control from one vendor, including teams without an existing NAC, independent of their switch vendor’s platform.

What to evaluate: How the platform previews the impact of an enforcement action on a school or municipal network before it is applied.

3. Ordr

Ordr’s AI Protect platform profiles devices by function, behavior, and communication patterns across converged IT and OT networks, and generates least-privilege policy that an analyst approves before it is applied through existing firewalls, NACs, switches, and wireless controllers.

Best fit for: Lean teams that want AI-assisted policy creation and natural-language investigation, and use microsegmentation only to protect devices that can’t run agents.

What to evaluate: How vulnerabilities are prioritized by exploitability on your devices, and which mitigation options exist beyond segmentation.

4. Armis

Armis Centrix is an agentless asset intelligence and exposure management platform spanning IT, OT, IoT, and cloud. ServiceNow completed its acquisition of Armis in April 2026 (Verdict), and Armis Centrix remains available as a standalone product.

Best fit for: Organizations that run IT and security workflows in ServiceNow and want device risk inside those workflows.

What to evaluate: How deeply it classifies cameras and building controllers at your facilities, and whether segmentation policy can be created, simulated, and maintained from the same platform.

5. Axonius

Axonius Asset Cloud aggregates asset data from existing IT, security, cloud, and SaaS tools through more than 1,400 adapters, correlating devices, software, identities, and exposures into one inventory. Remediation runs mainly through tickets and the tools already in place. Axonius has announced Cyber-Physical Assets, a product that fingerprints OT and IoT devices (SiliconANGLE, April 2026).

Best fit for: IT-led teams that need to reconcile assets already held in IT, cloud, and SaaS tools.

What to evaluate: How well it classifies unmanaged cameras and building controllers, and whether fixes go beyond tickets to segmentation or patching.

6. Claroty

Claroty focuses on cyber-physical systems across industrial, healthcare, and commercial environments. Its platform covers asset management, exposure management, network protection, secure remote access, and threat detection, and the company reports deployments at more than 8,000 sites across 40 industries.

Best fit for: Public safety and municipal operators that want a cyber-physical security platform, including secure remote access for third-party technicians.

What to evaluate: How deep discovery reaches into cameras, building systems, and field devices at your facilities, and how network protection recommendations become enforced policy on your existing NAC and firewalls.

7. Microsoft Defender for IoT

Microsoft Defender for IoT uses agentless network sensors to monitor OT and IoT devices (Microsoft Learn). Organizations with large existing investments in Microsoft security tools often look at it first, because it can sit alongside the Microsoft tools they already run.

Best fit for: Organizations with large existing investments in Microsoft security tools.

What to evaluate: How devices outside the Microsoft ecosystem are classified, and how findings become enforced segmentation policy.

8. Tenable

Tenable OT Security combines passive monitoring with active querying of OT devices, and feeds OT findings into Tenable One alongside IT vulnerability management.

Best fit for: Teams that want device inventory inside an existing Tenable vulnerability management program.

What to evaluate: How findings are prioritized by exploitability on your devices, and how they become enforced controls rather than tickets.

9. Fortinet

Fortinet’s Security Fabric combines firewalls, secure networking, endpoint protection, and centralized management, with OT protocol support and ruggedized hardware for remote facilities.

Best fit for: Organizations consolidating networking and security on a single vendor.

What to evaluate: Which system will supply the device context and risk priorities that decide your firewall rules.

Other Companies SLED Organizations Consider

Cisco, Palo Alto Networks, Darktrace, Nozomi Networks, Dragos, and TXOne Networks also appear in SLED evaluations. Cisco is widespread for switch infrastructure across all industries, and Palo Alto Networks and Darktrace are usually considered as extensions of an existing IT security investment. Nozomi Networks, Dragos, and TXOne Networks are often seen as OT specialists, which suit the smaller OT share of most SLED networks less often than the IT and IoT platforms above. Teams that need staff augmentation more than a platform often pair one of the companies above with a managed security provider.

Choosing the Right Fit for Your District, Campus, or City
  • Visibility and Cost Efficiency: Teams that can’t see their cameras, door controllers, and building systems should test discovery first and verify per-facility sensor pricing, since a sensor sized for a large campus can make a small school expensive to cover.
  • Policy Simulation and Enforcement: Teams needing enforcement should evaluate whether the platform can simulate and maintain policy across existing firewalls and NACs without requiring new access control hardware.
  • Compliance and Audit Proof: Teams facing CJIS audits or records reviews should verify how quickly and accurately the platform produces normalized inventory and segmentation evidence.
  • Stakeholder Pilot Validation: Always run pilots using live operational traffic and involve the facilities, public safety, and academic owners who will approve any change.

[Related: OT Security: A Complete Guide to Protecting Operational Technology]

[Related: The Best Government Cybersecurity Companies in 2026]

[Related: The Best Smart City Cybersecurity Companies in 2026]

Frequently Asked Questions About SLED Cybersecurity Companies
What Is the Best Cybersecurity Company for SLED?

The best fit depends on your program’s maturity. If all a SLED team needs is basic device visibility, nearly any platform will do. If it is also important to have prioritization based on real exploitability rather than severity scores, and segmentation that is simulated against observed traffic before it is enforced, Asimily covers all three in one platform with unified asset normalization. Forescout, Ordr, and Armis specialize in device visibility, and Fortinet extends network security into multi-site schools and municipal facilities. Asimily excels at providing strong, normalized asset inventory data across IoT, OT, and IT using multiple methods, including AI, deep packet inspection, and its database of well over 10,000,000 observed devices and profiles.

Which Connected Devices Do SLED Networks Often Leave Unmanaged?

IP cameras, door controllers, building automation controllers, printers, and interactive displays, among many others, often can’t run an endpoint agent, so agent-based tools miss them. They usually share networks with student, staff, and records systems. Asimily finds them through agentless discovery and keeps IoT, OT, and IT assets in one unified, normalized inventory.

How Can a Small Security Team Reduce Connected Device Risk?

Start with a complete inventory, rank vulnerabilities by what attackers can exploit rather than by severity score alone, and fix the short list first. Segmentation and password or firmware updates then reduce exposure on devices that can’t be patched quickly. Asimily’s ATT&CK Analysis narrows the list, and Policy Simulation tests segmentation before it blocks anything. Many teams still schedule major network changes for school breaks or planned maintenance windows, and a long enough simulation can give owners the confidence to enforce sooner, reducing risk exposure windows.

How Do CJIS and FERPA Apply to Connected Devices?

The FBI’s CJIS Security Policy applies to agencies and contractors that access criminal justice information, and FERPA protects student education records at schools that receive federal funding (U.S. Department of Education). Neither names cameras or building controllers, but devices that share a network with those systems can become a path to them, so an accurate inventory and segmentation evidence help in audits. Confirm scope with your compliance office or counsel. [VERIFY against note 11]

See How Asimily Protects SLED Organizations

Asimily gives SLED teams one unified, normalized asset inventory across IoT, OT, and IT, a short list of the exposures that are actually exploitable, and segmentation policy simulated against real traffic before it is enforced.

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