EDR , Exposure management , MDR , TDR , Threat Hunting , Threat Intelligence , Threat Management , XDR How to Evaluate Threat Intelligence and Threat Management Platforms July 17, 2026 Share By SC Media Editorial Intelligence, reviewed by Dustin Sachs Kevin Charest, CISO at the U.S. Department of Health and Human Services, discussed the new initiative which is intended to alert the health care industry about threats and enhance the cyber readiness of the public and private sectors. Collection Vs Conversion: The Evaluation Frame Threat intelligence platform evaluations commonly focus on collection capabilities: feed diversity, indicator volume, report quality, and analyst interface design. These criteria select platforms that aggregate intelligence without converting it into organizational decisions. Threat management functions as a decision-conversion process that routes intelligence to specific receiving functions — detection engineering, vulnerability management, hunt teams, hardening owners, and executives — in formats those functions can act on. The evaluation frame should test conversion capability: whether the platform helps the organization change detection rules, escalate vulnerabilities, execute hunt hypotheses, and confirm that receiving functions acted. Organizations that buy collection capability in response to a conversion problem have the same conversion problem with more intelligence they cannot act on. The evaluation distinction prevents this misallocation by shifting criteria from "how good is this platform's collection?" to "does this platform support the routing architecture and confirmation workflows that convert intelligence into decisions?" The evaluation frame applies here: each platform criterion should test whether the system supports one or more stages of the decision-conversion chain. Platforms that excel at collection but lack routing architecture reproduce the investment gap that motivated the purchase. What You Are Not Evaluating Five evaluation criteria appear in most platform assessments but test collection capability, not conversion capability. Each criterion is a leading indicator of collection performance, not a lagging indicator of decision change. Feed count and source diversity measures how many intelligence sources the platform aggregates. More sources does not mean more decisions changed. An evaluation that prioritizes source diversity can select platforms with extensive collection but no receiving function routing architecture. Indicator volume measures how many IOCs, domains, or file hashes the platform processes. Indicators support blocklists, retrospective searches, enrichment, scoping, and short-lived detections; the limitation is that indicator-only approaches are brittle and insufficient for durable behavioral detection. Platforms that excel on volume metrics often route identical indicator feeds to all subscribers without receiving function segmentation. Report quality scores evaluate writing, formatting, and analytical depth. Well-produced reports that never reach receiving functions or produce no confirmation do not reduce organizational exposure. Report quality matters only if the downstream routing and confirmation architecture exists to convert analyst output into decisions. Dashboard comprehensiveness tests visualization, filtering, and user interface design. Display capability is not conversion capability. Platforms with extensive dashboards can still operate as collection-and-display systems that require manual routing by analysts to reach receiving functions. Analyst interface quality measures search, collaboration, and workflow features. Analyst experience matters, but only if the downstream routing and confirmation architecture exists to convert analyst output into decisions. Interface quality evaluations can select platforms that improve analyst productivity while leaving the conversion problem unsolved. Each criterion is necessary for platform operation but insufficient for decision conversion. The misallocation risk increases when these criteria dominate the evaluation without testing conversion capability. Five Conversion Capabilities To Test The evaluation should test five capabilities that distinguish conversion platforms from collection platforms. Each capability maps to the conversion architecture. Structured receiving function routing determines whether the platform routes intelligence to named functions by role rather than by broadcast distribution. Conversion requires routing decisions based on receiving function capability and intelligence type. Test whether the platform supports role-based routing with intake mechanisms per receiving function, not "share to team" or list-based broadcast. Receiving function integration depth measures whether the platform connects to detection engineering, vulnerability management, hunt, hardening, and executive channels in formats those functions can act on. Detection engineering needs behavioral context and telemetry requirements, not only indicators. Vulnerability management needs active exploitation evidence with CVE identifiers and escalation rationale. Test the integration format each receiving function receives, not whether integration exists. Implication assignment tests whether the platform assigns specific implications before routing rather than forwarding raw intelligence to receiving functions for interpretation. Conversion requires that intelligence arrive with receiving-function-specific implications already assigned. Test whether the platform provides implication assignment as a distinct step between intelligence analysis and routing. Confirmation and loop closure determines whether the platform requires and records receiving function confirmation of action taken on routed intelligence items. Routing without confirmation cannot distinguish successful conversion from successful collection. Test whether the platform has confirmation workflows that require receiving functions to acknowledge specific items and report action status. Decision change measurement tests whether the platform measures and reports decisions changed across receiving functions rather than only collection and production metrics. Detection rules modified, vulnerabilities escalated, hunts executed, controls hardened, and leadership decisions made are the conversion outcomes that justify platform investment. Test whether platform performance reports show decision outcomes attributable to intelligence inputs, not only volume processed. An evaluation that does not test for all five capabilities will select a platform by collection criteria. The operational test question for each capability: what specific change does this platform produce in receiving function decisions? The Program Fit Test Platform investment cannot produce conversion value if the organizational prerequisites do not exist. A platform cannot route to receiving functions that have not been named. A platform cannot confirm actions from receiving functions that have no confirmation workflow expectation. A platform cannot measure decision change if the organization has no baseline for what decisions should change. The fit test precedes platform selection: the organization should be able to name its defined receiving functions, identify the current routing mechanism for each function, and describe what confirmation would look like. If none of these exist, the program architecture problem precedes the platform selection decision. Organizations without named receiving functions tend to evaluate platforms on collection criteria because they cannot test conversion capability. The fit test prevents platform purchases that reproduce the collection-investment mistake: buying technology to solve an organizational architecture problem. Three fit test questions determine whether the organization is ready for conversion platform investment: Can you name the specific person or team that receives behavioral intelligence for detection rule development? Can you name the workflow that connects exploitation evidence to vulnerability priority escalation? Can you name the confirmation mechanism that proves receiving functions acted on routed intelligence? If the answer to any question is no, platform selection is premature. The organization needs routing architecture before routing technology. The failure patterns apply: platforms purchased without routing architecture perpetuate orphaned implications and relevance overload. The Deployment Test The deployment test determines whether the platform supports conversion during an initial operating window — the 90-day horizon used here is illustrative, and appropriate timelines will vary with integration complexity, procurement constraints, data onboarding, change management, and detection-development cycles. The test is not collection metrics: intelligence items processed, feeds integrated, or reports produced. The test is decision change evidence: detection rule changes attributable to platform-routed intelligence, vulnerability escalations with platform-originated evidence, hunt hypothesis executions from platform behavioral outputs, and confirmed action records per receiving function. Within that window, the program should be able to show specific conversion counts where relevant intelligence warranted action: detection rules changed, vulnerabilities escalated, hunt hypotheses executed, controls hardened, and executive decisions made with platform attribution. Persistently zero counts are a signal to examine whether the platform is operating as a collection platform in a conversion role. Deployment success requires receiving function confirmation of specific actions taken. Confirmation distinguishes routing from conversion: routing measures intelligence distributed, and confirmation shows acknowledgment or reported completion — not that a decision changed, that implementation was correct, or that risk was reduced. The deployment test que