Plixer builds network traffic analytics and detection and response software that turns flow and packet data into automated threat detection, with agentic capability delivered through its Plixer One platform.
Plixer is a network detection and response vendor founded in 1998 and headquartered in Kennebunk, Maine. Its core product line began with Scrutinizer, a NetFlow and IPFIX-based network traffic analytics tool used by enterprises and government agencies to monitor east-west and north-south traffic. Over time Plixer extended this analytics foundation into automated threat detection and response with FlowPro Defender and, more recently, the Plixer One platform, which combines flow-based visibility with machine learning driven anomaly and threat detection intended to reduce manual triage work for network and security operations teams.
Plixer remains a privately held company and does not publish detailed financial results, employee counts, or ownership structure changes in public filings. Its customer base spans enterprise, higher education, healthcare, and government sectors that rely on network flow data for visibility and incident response, and the company positions its products as complementary to or integrated with SIEM and SOAR tools used in security operations centers.
Documented from public materials · these are the products the AMS scores
Scrutinizer
Shipping since 1998
Scrutinizer is Plixer's flagship network traffic analytics product, collecting and analyzing NetFlow, IPFIX, and sFlow data to give network and security teams visibility into traffic patterns, bandwidth usage, and anomalous flows across on-premises and cloud environments.
FlowPro Defender
Shipping since 2019
FlowPro Defender extends Scrutinizer with deep packet inspection and behavioral analytics to detect threats such as malware communication, data exfiltration, and lateral movement within encrypted and unencrypted network traffic.
Plixer One
Plixer One
Plixer One is a unified network detection and response platform that layers machine learning based threat detection, automated alerting, and workflow integrations on top of Plixer's flow analytics, aimed at reducing manual investigation time for security operations teams.
2024 - 2026 ·gold = a monetization move· grey = product or capital
Plixer introduced Plixer One, a unified network detection and response platform combining flow analytics with machine learning based threat detection intended to consolidate previously separate Scrutinizer and FlowPro Defender workflows. Source
Plixer does not publish list pricing for Scrutinizer, FlowPro Defender, or Plixer One on its public website. Historical Scrutinizer pricing has been reported by resellers and in procurement documents as based on flow volume or the number of monitored network devices and interfaces, with tiered licensing for larger deployments, but Plixer's own site directs prospective buyers to request a quote rather than publishing rates. Pricing not public.
Public evidence does not show a separate metered charge specifically for the machine learning or automated detection functions inside Plixer One. Based on available documentation, these capabilities appear to be bundled within the platform license rather than sold as a distinct usage-based add-on, though Plixer has not published packaging detail confirming this.
Analyst layer · placement follows the documented capability above
Independence. Plixer's detection capability in Plixer One and FlowPro Defender surfaces alerts and flags anomalous traffic using machine learning models, but public documentation describes these as decision support for human analysts rather than autonomous remediation. This places independence in the moderate range, with security teams still validating and acting on findings.
Job width. The platform spans a workflow within the network security function, from flow collection and analysis through anomaly detection and alerting, rather than a single narrow task. It does not appear to extend across other functions such as IT operations ticketing or compliance reporting based on public product descriptions.
Output versus cost. Automated flow analysis and machine learning based detection allow Plixer's products to process traffic volumes and flag anomalies at a scale that would require substantially more manual analyst hours to replicate, consistent with an inflecting rather than purely linear productivity gain, though Plixer has not published quantified benchmarks.
Monetization pattern. Plixer's public materials show a traditional software licensing model tied to network scale rather than a distinct usage-based or outcome-based meter for its detection or automation features. No public pricing change, new packaging tier, or consumption-based fee tied specifically to AI or automation capability has been identified as of the research cutoff.
| Edition | AMS score | Change | |
|---|---|---|---|
| Aug 2026 | M · M · Infl | Baseline, first edition |
Future editions add a row whenever the score or the metric moves, with the evidence that moved it.
About this data
Everything on this page is a synthesis of public information: published reporting, vendor documentation, and procurement data that anyone can access. We link to those sources throughout. Nothing on this page draws on private or confidential information, and the positions are Monetizely's analysis of that public record, refreshed monthly.