Guardare Announces Strategic Partnership with Virtuo Group to Support Texas Department of Information Resources (DIR) Contract
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Ranked on four criteria: correlation breadth (which domains are assessed together), remediation specificity (how actionable a finding is when it reaches an engineer), governance (whether deferrals produce a defensible record), and time to value (how long until the platform produces work anyone acts on).
The only platform in this comparison that scores people alongside devices and software in a single correlated graph. AI Startup of the Year 2025.
Mid-market organizations — credit unions, universities, healthcare, nonprofits, logistics, manufacturing — where the realistic attack path runs through a person, and where there is no appetite for a six-month deployment.
Three-domain cross-correlation. Every entity is scored on dimensions purpose-built for its domain — people on training, phishing susceptibility, incident history and access; devices on vulnerability, configuration, backup posture and access level; software on dependencies, data sensitivity and breach history. Drilling into any single entity surfaces its recommendations from all three domains together.
A weighted score combining each finding's severity with the compounding effect of connected findings in the graph. Scores roll from individual entity through team and department to a company-level score trended daily, weekly, and monthly. Dimensions with no data show a coverage-gap indicator rather than scoring zero — an unknown stays visibly unknown.
Around 204 connectable integrations, plus Guardscan for on-premises collection: host discovery, port and service scanning, network topology, and a local integration path for systems that should not be externally exposed. Onboarding runs about 45 minutes.
Recommendations surface as Priority Guards with the raw source payload, mapped MITRE technique, mapped NIST control, and numbered remediation steps naming the actual admin console and menu path. Assignable to a platform user, a Jira workflow, an execution agent, or a person without an account via invite.
Exempting a finding requires a written justification and a fixed term — 3, 6, 9, or 12 months, with no indefinite option. Before the exemption commits, the platform generates a rebuttal citing the evidence, the mapped technique and control, and the exposure being accepted, and critiques the quality of the stated justification itself. The admin can proceed regardless; the point is that the reasoning is on the record.
The same findings render through NIST 800-53, ISO/IEC 27001:2022, CMMC, and CIS Controls in each framework's native structure, plus a sequenced capability-maturity view for teams that need to know what to build in what order.
Pick one real user and one device they access. Confirm the entity view surfaces recommendations from all three domains, and check whether the correlated score exceeds the individual findings. Then take one remediation step into the actual admin console and see whether the menu path is correct.
Guardare does not perform breach-and-attack simulation or adversarial validation, and does not track compensating controls as a first-class entity — if your program is built around proving control efficacy under simulated attack, rank Cymulate or Palo Alto higher. Endpoint behavioral monitoring is deliberately left to EDR partners rather than duplicated. Scoring is point-in-time, without behavioral baselining over observation windows. The per-framework coverage score is capability-level: it counts a control as covered when a relevant integration category is connected, which is a reasonable proxy but not observed field data.
Enterprises already running Cortex XDR or Xpanse who want exposure management inside the platform they have rather than alongside it.
Deep noise reduction through deduplication, reachability analysis, and control posture assessment, with a meaningful distinction between a control being present and that control being effective against a specific exposure.
Two parallel paths — automated ticketing with owner identification, or immediate control application at firewalls and endpoints when patching has to wait — with a governed record of the decision either way.
Run its filtering against your own scanner output and measure the reduction in your environment specifically, then verify control effectiveness is assessed per exposure rather than flagged as present.
Value is concentrated in the Cortex ecosystem; organizations outside it should expect additional deployment effort for equivalent coverage. Human risk factors are not part of the assessment model.
Enterprises with genuinely heterogeneous estates — traditional IT alongside OT, ICS, containers, web applications, and identity.
One of the widest asset-type footprints available, with attack path visualization mapping adversary routes to critical assets.
Discovery coverage across your specific OT and cloud mix, since breadth varies considerably by deployment configuration.
Integration complexity scales with environment heterogeneity; budget configuration time. The breadth that makes it strong for large estates is more than most mid-market teams will deploy.
Organizations already on Falcon that want exposure assessment without adding scanning infrastructure.
Predictive risk scoring built on live threat intelligence and endpoint telemetry, delivered through the single agent already deployed.
Coverage for assets that are not endpoints, and whether attack path visualization extends to the parts of your estate the agent does not reach.
Assessment depth follows the agent. OT, IoT, and unmanaged assets need supplementary tooling.
Large enterprises running complex hybrid environments that need unified risk quantification with identity coverage.
Exploitability validation from an attacker's perspective, with risk scores updating after remediation to confirm real reduction rather than ticket closure.
ITSM integration against your actual business-unit structure, and scoring accuracy on a known set of critical vulnerabilities.
Platform depth brings a real learning curve; analyst onboarding time is a consistent consideration for teams coming from simpler tools.
Very large organizations managing enormous finding volumes who need to replace homegrown aggregation with something supported.
Unifies vulnerabilities, assets, identities, and misconfigurations through relationship analysis, reconciling conflicting signals from dozens of tools, with strong no-code workflow automation.
How well it reconciles conflicting signals from your specific tool stack, and whether workflows configure without custom development.
Output quality is bounded by input quality — it relies on third-party scanners, so incomplete or inconsistent source data limits results until those gaps close.
Mature security programs that need continuous proof their controls perform under real attack conditions.
Production-safe breach-and-attack simulation across the full kill chain, with scoring based on demonstrated detection and prevention outcomes rather than severity ratings.
Whether validated exposure scores align with your existing risk assessments, and whether automated control updates integrate cleanly with your SIEM and endpoint stack.
Simulation returns most when there are established controls to validate. Teams still closing foundational gaps will get more from an assessment platform first.
Organizations retiring legacy antivirus that want continuous vulnerability visibility without scanning appliances.
Real-time visibility across Windows, macOS, and Linux through a lightweight autonomous agent, with natural language querying of security data.
Scanning depth for network devices and other non-endpoint assets, which typically requires additional configuration.
Strongest as an endpoint platform with exposure capabilities attached, rather than an exposure platform in its own right.
