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RiskAnalytics

Operates the SecureDNS managed DNS-security service and ShadowNet threat-intelligence feed, distributed widely through ISAC/ISAO partnerships into critical-infrastructure and public-sector networks.

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55/100Incremental Innovator

Overview

RiskAnalytics operates SecureDNS, a managed DNS-layer threat protection service built on its ShadowNet threat-intelligence feed. SecureDNS blocks outbound connections to known malicious domains and IP addresses before they reach an organization’s network, providing a low-friction network security control that requires no endpoint agents.

Founded in 2002 and headquartered in Leawood, Kansas, RiskAnalytics owns and operates several open-source and community threat-intelligence assets, including Malware Domains and AutoShun.org, and holds membership in Google’s VirusTotal community. Rather than selling primarily through direct enterprise sales, the company distributes its ShadowNet feed and SecureDNS service through partnerships with a wide range of Information Sharing and Analysis Centers (ISACs) and ISAOs, including OT-ISAC, K12-SIX, H-ISAC, MS-ISAC, ONG-ISAC, and the Elections Infrastructure ISAC.

That distribution model gives RiskAnalytics reach into critical-infrastructure, K-12 education, healthcare, and elections-security communities that are frequently underserved by larger network security vendors focused on the enterprise market, positioning the company more as a community threat-intelligence hub than a conventional product vendor.

Innovation Matrix Assessment

Innovation Velocity 5/10

A long-established (2002) DNS security vendor whose product line has expanded steadily through new ISAC/ISAO partnerships rather than rapid new-product release cycles.

Operational Value 6/10

DNS-layer blocking of malicious domains is a proven, low-friction network security control; RiskAnalytics' operational reach comes primarily from its distribution model rather than a novel technical architecture.

Market Momentum 6/10

Continued expansion of ISAC/ISAO partnerships (K12-SIX, H-ISAC, MS-ISAC, Elections Infrastructure ISAC, and others) indicates steady growth in distribution and adoption within critical-infrastructure and public-sector communities.

Category Disruption 4/10

DNS-based threat blocking is a well-established security control category with established competitors such as Cisco Umbrella and Infoblox; RiskAnalytics differentiates on sector distribution rather than novel technology.

Real-World Efficacy 5/10

Operating open-source intelligence assets (Malware Domains, AutoShun.org) and VirusTotal community membership lend some independent credibility to its threat data, though no independent detection-rate testing was found.

Enduring Relevance 7/10

DNS-layer protection remains a foundational, high-leverage security control, and RiskAnalytics' focus on underserved critical-infrastructure sectors (K-12, OT, elections, healthcare ISACs) addresses a real gap in those markets' security budgets.

Why CISOs Should Care

Offers critical-infrastructure and public-sector organizations, many with limited security budgets, an accessible DNS-layer control that blocks malicious traffic before it reaches internal networks.

What Makes It Different

Distributes its ShadowNet threat feed and SecureDNS service primarily through ISAC/ISAO community partnerships rather than direct enterprise sales, reaching sectors like K-12, election infrastructure, and utilities that larger network security vendors often underserve.

The Matrix Verdict

55/100 — INCREMENTAL INNOVATOR

A steady, long-running DNS security provider whose real value lies in its ISAC/ISAO distribution network into underserved critical-infrastructure sectors, rather than in cutting-edge detection technology.

Editorial Note: Claims vs. Verified Findings

The ISAC/ISAO partnership list and community threat-intel assets (Malware Domains, AutoShun.org, VirusTotal membership) are independently verifiable. No independent efficacy or detection-rate testing of SecureDNS was located, so that score rests on the service's underlying model rather than confirmed performance data.

Sources