# BuzzScan: buzzword and substance scores for AI SOC and SecOps vendor websites

Source: https://secops-unpacked.ai/research/buzzscan/map (SecOps Unpacked)

BuzzScan reads the public product pages of every vendor in the directory each week. It measures how much of the copy is buzzwords and how much is concrete detail, and tracks how vendors change their positioning over time.

Scores describe website copy, not product quality or ASEF evaluation results.

## Definitions

- **Buzz score**: The number of buzzwords per 100 words of a vendor's website copy. A higher number means more of the copy is marketing vocabulary.
- **Substance score**: A score from 0 to 1 for how much concrete detail a vendor's website copy gives: how the product works, what it covers, which tools it connects to, and the evidence behind its numbers.

## How to cite

- Ranking and scores: https://secops-unpacked.ai/research/buzzscan/map
- Monthly leaderboard: https://secops-unpacked.ai/research/buzzscan/leaderboard
- Market read: https://secops-unpacked.ai/research/buzzscan/market
- Method: https://secops-unpacked.ai/research/buzzscan/method
- State the scan date with any score. Scores change weekly.

## Ranking by substance score, scan of 10 Nov 2026

190 vendors. Substance runs from 0 to 1; buzz is buzzwords per 100 words of website copy.

| Rank | Vendor | Category | Substance | Buzz per 100 words | Most used buzzwords |
|---|---|---|---|---|---|
| 1 | [Tracemill](https://secops-unpacked.ai/vendors/tracemill) | Detection Engineering | 0.91 | 0.1 | continuous validation, detection coverage, safely, ai-driven, ai-driven security, ai-driven security operations |
| 2 | [Elastic](https://secops-unpacked.ai/vendors/elastic) | SIEM | 0.91 | 1.8 | agentic, real-time, agentic security, agentic security operations, agentic security operations platform, machine learning |
| 3 | [Priam Cyber AI](https://secops-unpacked.ai/vendors/priam-cyber-ai) | AI SOC Pure Play | 0.90 | 0.7 | autonomous, audit-ready, every alert investigated, full investigation, no rip and replace, plain english |
| 4 | [MYRMEX](https://secops-unpacked.ai/vendors/myrmex-by-ainext) | Automation | 0.89 | 0.3 | security posture, ai agents, ai agent, use case, agents investigate, agents work |
| 5 | [HydraNexus](https://secops-unpacked.ai/vendors/hydranexus) | Threat Intel | 0.88 | 1.1 | alert fatigue, analyst time, data lives, evidence behind it, existing siem |
| 6 | [DeepTempo](https://secops-unpacked.ai/vendors/deeptempo) | Data Analytics / UABA | 0.88 | 1.7 | machine speed, ai-powered, ai-powered attacks, existing tools, purpose-built, agentic |
| 7 | [Huntbase](https://secops-unpacked.ai/vendors/huntbase) | Threat Hunting | 0.88 | 0.3 | tools you already run, data layer, open by design |
| 8 | [LimaCharlie](https://secops-unpacked.ai/vendors/limacharlie) | Automation | 0.87 | 1.8 | agentic, use case, use cases, ai agents, agentic secops platform, existing stack |
| 9 | [Mindflow](https://secops-unpacked.ai/vendors/mindflow) | Automation | 0.87 | 0.9 | agentic, ai agents, use cases, autonomous, agentic platform, enterprise-grade |
| 10 | [Exaforce](https://secops-unpacked.ai/vendors/exaforce) | AI SOC Pure Play | 0.86 | 2.7 | agentic, real-time, agentic ai, risk management, agentic soc, ai-driven |
| 11 | [CipherData](https://secops-unpacked.ai/vendors/cipherdata) | AI SOC Pure Play | 0.86 | 1.3 | ai-native, ai-native detection and response, cost-effective, ai assistant, end-to-end, autonomous |
| 12 | [Deception Check](https://secops-unpacked.ai/vendors/deception-check) | Deception | 0.86 | 0.2 | ai agent, ai agents, real-time, ai-assisted, cyber threats |
| 13 | [Hawkeye AI](https://secops-unpacked.ai/vendors/hawkeye-ai) | MDR | 0.86 | 2.6 | real-time, agentic, threat landscape, use cases, machine learning, agentic ai |
| 14 | [Google SecOps](https://secops-unpacked.ai/vendors/google-secops) | SIEM | 0.85 | 1.4 | machine learning, real-time, best practices, named a leader, pre-built, natural language |
| 15 | [Realm Security](https://secops-unpacked.ai/vendors/realm-security) | Data Pipeline | 0.85 | 0.8 | detection coverage, intelligence layer, game-changer, black box, safely, ai-led |
| 16 | [Brava](https://secops-unpacked.ai/vendors/brava) | Detection Engineering | 0.85 | 1.0 | detection coverage, fortune 500, ground truth, manual effort, plain english, security outcomes |
| 17 | [Culminate](https://secops-unpacked.ai/vendors/culminate) | AI SOC Pure Play | 0.85 | 3.3 | security analyst, named a leader, autonomous, control plane, ai agents, ai investigation |
| 18 | [Caver](https://secops-unpacked.ai/vendors/caver) | SIEM | 0.84 | 0.5 | ai assistant, end-to-end, natural language, control plane, coverage gaps, risk-based |
| 19 | [Daylight Security](https://secops-unpacked.ai/vendors/daylight-security) | AI SOC Pure Play | 0.84 | 3.6 | agentic, business context, security experts, ai agents, agentic security, ai-native |
| 20 | [Cotool](https://secops-unpacked.ai/vendors/cotool) | AI Agent Builder | 0.84 | 0.9 | plain english, response agents, alert fatigue, natural language, ai agent, at machine speed |
| 21 | [Jutsu](https://secops-unpacked.ai/vendors/jutsu) | AI SOC Pure Play | 0.84 | 2.0 | ai agents, ai-native, ai-native security operations, ai-native security operations platform, built-in, security operations platform |
| 22 | [Scythe](https://secops-unpacked.ai/vendors/scythe) | Attack Simulation | 0.84 | 1.3 | detection coverage, real-time, continuous validation, real-world, security controls, plain language |
| 23 | [SOC Prime](https://secops-unpacked.ai/vendors/soc-prime) | Detection Engineering | 0.84 | 1.5 | detection intelligence, machine speed, cyber defense, agentic, agentic ai, ai-powered |
| 24 | [SOCNova](https://secops-unpacked.ai/vendors/socnova) | AI SOC Pure Play | 0.84 | 1.3 | ai-powered, ai-powered soc platform, six specialists, business impact, evidence-backed, intelligence layer |
| 25 | [SecsphereSOC](https://secops-unpacked.ai/vendors/secsphere) | SIEM | 0.83 | 1.2 | real-time, ai-powered, human control, security operations platform, natural language, ai-assisted |
| 26 | [TrenchSecurity](https://secops-unpacked.ai/vendors/trenchsecurity) | AI SOC Pure Play | 0.83 | 3.1 | agentic, autonomous, autonomous defense, cyber defense, security stack, agentic platform |
| 27 | [ThreatLens](https://secops-unpacked.ai/vendors/threatlens) |  | 0.83 | 2.8 | enterprise ai, security platform, control plane, audit-ready, evidence-backed, real-time |
| 28 | [Alpha Level](https://secops-unpacked.ai/vendors/alphalevel) | Data Analytics / UABA | 0.83 | 2.5 | autonomous, self-learning, analyst hours, agentic, agentic ai, ai investigation |
| 29 | [Tuskira](https://secops-unpacked.ai/vendors/tuskira) | CTEM | 0.83 | 2.4 | agentic, security data fabric, agentic cyber defense, autonomous, continuous threat, cyber defense |
| 30 | [Intezer](https://secops-unpacked.ai/vendors/intezer) | AI SOC Capability | 0.83 | 3.2 | ai-powered, real threats, forensic depth, ai-driven, autonomous, investigates every alert |
| 31 | [Panther](https://secops-unpacked.ai/vendors/panther) | SIEM | 0.83 | 2.7 | natural language, agentic, closes the loop, ai soc agent, petabyte-scale, autonomous |
| 32 | [TraceCat](https://secops-unpacked.ai/vendors/tracecat) | Automation | 0.82 | 1.8 | agentic, ai agent, ai agents, agentic security, human-in-the-loop, agentic soar |
| 33 | [Sola](https://secops-unpacked.ai/vendors/sola) | Security Context Graph | 0.82 | 1.4 | business context, autonomous, autonomous security, context layer, agentic, reasoning engine |
| 34 | [Binary Defense](https://secops-unpacked.ai/vendors/binarydefense) | MDR | 0.82 | 2.1 | alert fatigue, real-time, detection coverage, use cases, ai-powered, at machine speed |
| 35 | [Gurucul](https://secops-unpacked.ai/vendors/gurucul) | SIEM | 0.82 | 3.4 | glass-box, fewer false positives, risk management, agentic, end-to-end, gartner peer |
| 36 | [Zaun](https://secops-unpacked.ai/vendors/zaun) |  | 0.82 | 0.2 | agentic, control plane, risk management, ai agents, generative ai, using ai |
| 37 | [Mallory](https://secops-unpacked.ai/vendors/mallory) | Threat Intel | 0.82 | 0.9 | continuous threat, agentic, ai-native, ai agents, real-time, tools you already run |
| 38 | [Tenex AI](https://secops-unpacked.ai/vendors/tenex-ai) | MDR | 0.82 | 3.6 | agentic, agentic mdr, ai-native, agentic ai, agentic soc, ai agents |
| 39 | [Alaris Security](https://secops-unpacked.ai/vendors/alaris-security) | AI Agent Builder | 0.81 | 3.3 | autonomous, autonomous security, autonomous security operations, autonomously, ai-native, agentic |
| 40 | [Exabeam](https://secops-unpacked.ai/vendors/exabeam) | SIEM | 0.81 | 3.8 | ai agents, agentic, natural language, agentic soc, ai-driven, cloud-native |
| 41 | [TandemTrace](https://secops-unpacked.ai/vendors/tandemtrace) | AI SOC Pure Play | 0.81 | 2.0 | autonomous, autonomously, human judgment, modern soc, autonomous threat hunting, end-to-end |
| 42 | [Cyber Defence](https://secops-unpacked.ai/vendors/cyberdefence) | SIEM | 0.81 | 0.9 | glass-box, autonomous, soc analyst, autonomous soc, ai soc analyst, autonomous ai |
| 43 | [Kyberis](https://secops-unpacked.ai/vendors/kyberis) | Threat Intel | 0.81 | 2.5 | intelligence layer, ai agents, at machine speed, machine speed, security agents, agentic |
| 44 | [Command Zero](https://secops-unpacked.ai/vendors/command-zero) | AI SOC Pure Play | 0.81 | 2.0 | autonomous, gartner peer, ai-assisted, governed ai, use cases, agents investigate |
| 45 | [Ornis Guard](https://secops-unpacked.ai/vendors/ornis-guard) |  | 0.81 | 4.5 | soc analyst, ai-powered, real-time, ai soc analyst, autonomous, agentic |
| 46 | [Anvilogic](https://secops-unpacked.ai/vendors/anvilogic) | Detection Engineering | 0.81 | 2.0 | agentic, operating system, agentic secops platform, ai agents, plain language, agentic soc |
| 47 | [Detections AI](https://secops-unpacked.ai/vendors/detections-ai) | Detection Engineering | 0.80 | 0.4 | autonomous, ai-assisted, ai assistant, close the gaps, plain language |
| 48 | [Hnull Labs](https://secops-unpacked.ai/vendors/hnull-labs) | AI SOC Pure Play | 0.80 | 0.4 | ai agents, autonomous, end-to-end, data stays, ai investigation, ai that investigates |
| 49 | [Tier4 AI](https://secops-unpacked.ai/vendors/tier4-ai) | MDR | 0.80 | 3.3 | ai-driven, autonomous, autonomous response, always-on, analyst time, contain threats |
| 50 | [Simbian](https://secops-unpacked.ai/vendors/simbian) | AI SOC Pure Play | 0.80 | 1.2 | ai agents, autonomous, autonomous security, cyber defense, ai soc agent, game-changer |
| 51 | [GuarDDoG AI](https://secops-unpacked.ai/vendors/guarddog-ai) | NDR | 0.80 | 3.5 | autonomous, real-time, autonomously, always-on, alert fatigue, alert noise |
| 52 | [Secure.com](https://secops-unpacked.ai/vendors/secure-com) | AI SOC Pure Play | 0.80 | 1.4 | ai teammate, existing stack, governed ai, 24/7 coverage, audit-ready, one workflow |
| 53 | [Wirespeed](https://secops-unpacked.ai/vendors/wirespeed) | AI SOC Pure Play | 0.80 | 0.8 | contain threats, agentic, onboard in minutes, agentic soc, autonomous, complete investigations |
| 54 | [Strike48](https://secops-unpacked.ai/vendors/strike48) | AI SOC Pure Play | 0.80 | 3.7 | agentic, pre-built, real-time, agentic security, ai agents, human-in-the-loop |
| 55 | [Vigil](https://secops-unpacked.ai/vendors/vigil) | AI SOC Pure Play | 0.80 | 2.5 | agentic, agentic soc, black box, specialized agents, ai agents, audit-ready |
| 56 | [Axonius](https://secops-unpacked.ai/vendors/axonius) | CTEM | 0.80 | 1.9 | ai-driven, ai agents, coverage gaps, plain language, alert noise, business context |
| 57 | [Spectrum Security](https://secops-unpacked.ai/vendors/spectrum) | Detection Engineering | 0.80 | 1.4 | end-to-end, ai era, alert fatigue, at machine speed, blind spots, close the gaps |
| 58 | [ThreatDefence](https://secops-unpacked.ai/vendors/threatdefence) | MDR | 0.79 | 2.4 | ai agents, agentic, agentic soc, agents investigate, cyber risk, ai-enabled |
| 59 | [Sumo Logic](https://secops-unpacked.ai/vendors/sumo-logic) | SIEM | 0.79 | 2.1 | cloud-native, real-time, out-of-the-box, agentic, ai-powered, ai-ready data |
| 60 | [Ontinue](https://secops-unpacked.ai/vendors/ontinue) | MDR | 0.79 | 2.9 | agentic, agentic ai, human expertise, agentic soc, contextual intelligence, governed response |
| 61 | [Sirp](https://secops-unpacked.ai/vendors/sirp) | CIRM / Case Management | 0.79 | 3.6 | autonomous, autonomous soc, autonomous soc platform, at machine speed, machine speed, ai-driven |
| 62 | [Surf AI](https://secops-unpacked.ai/vendors/surf-ai) | Security Context Graph | 0.79 | 1.3 | end-to-end, security posture, ai agents, existing tools, fortune 500, manual work |
| 63 | [Axoflow](https://secops-unpacked.ai/vendors/axoflow) | Data Pipeline | 0.79 | 2.0 | data layer, security data layer, autonomous, autonomous security, cloud-native, data stays |
| 64 | [Cantina](https://secops-unpacked.ai/vendors/cantina) | AI SOC Pure Play | 0.79 | 1.1 | agentic, agentic security, autonomous, agentic security operations, autonomous agents, end-to-end |
| 65 | [Scanner](https://secops-unpacked.ai/vendors/scanner) | Data Pipeline | 0.79 | 1.4 | ai agents, pre-built, out-of-the-box, lock-in, real-time, vendor lock-in |
| 66 | [Spacewalk AI](https://secops-unpacked.ai/vendors/spacewalk-ai) | DFIR / Forensics | 0.79 | 2.5 | agentic, ai agents, agents work, contain threats, contain threats faster, faster investigations |
| 67 | [Query](https://secops-unpacked.ai/vendors/query) | Data Pipeline | 0.78 | 1.9 | ai agents, security work, every alert investigated, data lives, game-changer, purpose-built |
| 68 | [IceGuard](https://secops-unpacked.ai/vendors/iceguard) | SIEM | 0.78 | 0.9 | ai agents, 10x, detection coverage, real-time, use cases, ai agent |
| 69 | [Ghost Security](https://secops-unpacked.ai/vendors/ghostsecurity) | AI Agent Builder | 0.78 | 1.3 | safely, security agents, full observability, security work, human expertise, lock-in |
| 70 | [Mitiga](https://secops-unpacked.ai/vendors/mitiga) | AI SOC Supporting Capability | 0.78 | 2.5 | ai agent, agentic, ai agents, real-time, at machine speed, machine speed |
| 71 | [Sophos](https://secops-unpacked.ai/vendors/sophos) | MDR | 0.78 | 4.4 | next-gen, next-gen siem, ai-native, agentic, ai era, ai-driven |
| 72 | [Tenzir](https://secops-unpacked.ai/vendors/tenzir) | Data Pipeline | 0.78 | 0.9 | cloud-native, operating system, real-time, security posture, response time, ai agents |
| 73 | [Seculyze](https://secops-unpacked.ai/vendors/seculyze) | AI SOC Capability | 0.78 | 1.3 | purpose-built, best practices, fewer false positives, analysts focus, machine learning, risk-based |
| 74 | [Bricklayer AI](https://secops-unpacked.ai/vendors/bricklayer-ai) | AI SOC Pure Play | 0.78 | 3.5 | ai agents, agentic, use cases, operating model, use case, agentic soc |
| 75 | [Perpetual Systems](https://secops-unpacked.ai/vendors/perpetual-systems) | SIEM | 0.77 | 0.8 | agentic, agentic security, ai agent, agentic security operations, agentic detection, agentic investigation |
| 76 | [Auguria](https://secops-unpacked.ai/vendors/auguria) | Data Pipeline | 0.77 | 2.3 | enterprise-grade, real threats, use cases, accelerate investigations, ai-driven, ai-powered |
| 77 | [Expel](https://secops-unpacked.ai/vendors/expel) | MDR | 0.77 | 2.1 | real-time, agentic, agentic mdr, rip-and-replace, ai-powered, analysts can focus on |
| 78 | [Sekoia](https://secops-unpacked.ai/vendors/sekoia) | SIEM | 0.77 | 4.5 | autonomous, agentic, ai agents, autonomous soc, autonomous soc platform, real-time |
| 79 | [Crogl](https://secops-unpacked.ai/vendors/crogl) | AI SOC Pure Play | 0.77 | 1.3 | end-to-end, fortune 500, autonomously, agentic, investigates every alert, analyst hours |
| 80 | [Artemis](https://secops-unpacked.ai/vendors/artemis) | AI SOC Pure Play | 0.77 | 1.7 | ai-native, autonomously, machine speed, cyber defense, adaptive detection, ai agent |
| 81 | [Foresee Security](https://secops-unpacked.ai/vendors/foresee-security) | AI SOC Supporting Capability | 0.77 | 2.4 | deep investigation, autonomous, plain language, autonomous security, autonomous security operations, machine speed |
| 82 | [Hunters](https://secops-unpacked.ai/vendors/hunters) | SIEM | 0.77 | 6.4 | next-gen, next-gen siem, ai-driven, agentic, autonomous, ai-powered |
| 83 | [Louie AI](https://secops-unpacked.ai/vendors/louie-ai) | AI SOC Pure Play | 0.76 | 3.0 | agentic, agentic automation, agentic investigation, enterprise-grade, enterprise-grade security, force multipliers |
| 84 | [Sleuth Kit Labs](https://secops-unpacked.ai/vendors/sleuth-kit-labs) | DFIR / Forensics | 0.76 | 0.2 | ai-powered, ai-powered investigation, respond with confidence |
| 85 | [RAD Security](https://secops-unpacked.ai/vendors/rad-security) | AI SOC Capability | 0.76 | 4.6 | real-time, ai-powered, entire security, security stack, audit-ready, natural language |
| 86 | [Sevii](https://secops-unpacked.ai/vendors/sevii) | AI SOC Pure Play | 0.76 | 4.8 | autonomous, cyber defense, autonomous defense, machine speed, at machine speed, real-time |
| 87 | [AISOC](https://secops-unpacked.ai/vendors/aisoc) | AI SOC Pure Play | 0.76 | 4.3 | ai-native, generative ai, audit-ready, real-time, ai-native security operations, ai soc analyst |
| 88 | [Mate Security](https://secops-unpacked.ai/vendors/mate-security) | AI SOC Pure Play | 0.76 | 2.1 | agentic, ai agents, coverage gaps, cyber defense, detection coverage, use case |
| 89 | [Port0](https://secops-unpacked.ai/vendors/port0) | AI SOC Pure Play | 0.75 | 1.6 | safely, context layer, data layer, every alert investigated, autonomous, plain language |
| 90 | [Tracebit](https://secops-unpacked.ai/vendors/tracebit) | Deception | 0.75 | 1.2 | high-fidelity, high-fidelity alerts, high-value, modern security, customer success, detection coverage |
| 91 | [Cyware](https://secops-unpacked.ai/vendors/cyware) | Threat Intel | 0.75 | 2.7 | ai-powered, agentic, real-time, agentic ai, ai agents, automated workflows |
| 92 | [Socjedi AI](https://secops-unpacked.ai/vendors/socjedi-ai) | AI SOC Pure Play | 0.75 | 2.7 | ai soc analyst, soc analyst, use cases, ai-driven, ai-powered, real threats |
| 93 | [BlinkOps](https://secops-unpacked.ai/vendors/blinkops) | AI Agent Builder | 0.75 | 3.0 | agentic, agentic security, agentic security operations, agentic security operations platform, security operations platform, agentic soar |
| 94 | [Orryx AI](https://secops-unpacked.ai/vendors/beyoncyber) | AI SOC Pure Play | 0.75 | 2.6 | real-world, cyber defense, ai-driven, real-time, security controls, multi-agent |
| 95 | [Dropzone AI](https://secops-unpacked.ai/vendors/dropzone) | AI SOC Pure Play | 0.74 | 2.8 | ai soc analyst, soc analyst, agentic, agentic soc, autonomous, investigates every alert |
| 96 | [RunReveal](https://secops-unpacked.ai/vendors/runreveal) | SIEM | 0.74 | 3.9 | ai-powered, built-in, detect threats, unified platform, industry-leading, enterprise-grade |
| 97 | [DarkTrace](https://secops-unpacked.ai/vendors/darktrace) | NDR | 0.74 | 2.7 | real-time, ai agents, autonomous, ai-powered, generative ai, ai era |
| 98 | [Tines](https://secops-unpacked.ai/vendors/tines) | AI Agent Builder | 0.74 | 1.9 | ai agent, ai agents, enterprise ai, real-world, safely, autonomous |
| 99 | [Anomali](https://secops-unpacked.ai/vendors/anomali) | Threat Intel | 0.74 | 4.5 | agentic, agentic ai, agentic soc, next-gen, unified security, agentic soc platform |
| 100 | [Treat](https://secops-unpacked.ai/vendors/treat) | AI Agent Builder | 0.74 | 0.8 | full context, agents act, ai agents, existing tools, full investigation, investigation time |
| 101 | [Cymulate](https://secops-unpacked.ai/vendors/cymulate) | Attack Simulation | 0.73 | 3.2 | agentic, cyber defense, agentic cyber defense, security controls, risk management, security posture |
| 102 | [CrowdStrike](https://secops-unpacked.ai/vendors/crowdstrike) | SIEM | 0.73 | 4.2 | agentic, real-time, ai-powered, agentic soc, ai agents, ai-driven |
| 103 | [D3 Security](https://secops-unpacked.ai/vendors/d3-security) | AI SOC Capability | 0.73 | 3.6 | agentic, autonomous, agentic soc, autonomous soc, unified intelligence, agentic soc platform |
| 104 | [Microsoft Sentinel](https://secops-unpacked.ai/vendors/microsoftsentinel) | SIEM | 0.73 | 2.9 | built-in, cloud-native, ai-powered, ai-driven, generative ai, ai-powered detection |
| 105 | [Mitigant](https://secops-unpacked.ai/vendors/mitigant) | Attack Simulation | 0.73 | 2.4 | security posture, cloud-native, ai-powered, safely, agentic, built-in |
| 106 | [CounterShadow](https://secops-unpacked.ai/vendors/countershadow) | AI SOC Pure Play | 0.73 | 2.6 | autonomous, analyst time, end-to-end, at machine speed, machine speed, security stack |
| 107 | [Cylerian](https://secops-unpacked.ai/vendors/cylerian) | SIEM | 0.73 | 2.4 | at machine speed, machine speed, real-time, unified security, agentic, agentic ai |
| 108 | [Binalyze](https://secops-unpacked.ai/vendors/binalyze) | DFIR / Forensics | 0.73 | 2.1 | cyber resilience, ai-driven, ai-driven analysis, forensic depth, enterprise scale, existing security |
| 109 | [ReliaQuest](https://secops-unpacked.ai/vendors/reliaquest) | MDR | 0.73 | 3.7 | agentic, agentic ai, named a leader, security operations platform, agentic ai security, ai security operations platform |
| 110 | [SecureVisio](https://secops-unpacked.ai/vendors/securevisio) | SIEM | 0.73 | 2.6 | ai-assisted, risk-based, built-in, real-time, risk management, ai-powered |
| 111 | [UltraViolet Cyber](https://secops-unpacked.ai/vendors/ultraviolet-cyber) | Attack Simulation | 0.72 | 2.3 | real-time, detection coverage, ai assistant, ai platform, security experts, security platform |
| 112 | [Cydarm](https://secops-unpacked.ai/vendors/cydarm) | CIRM / Case Management | 0.72 | 0.8 | real-time, cyber resilience, response time, security controls, compliance requirements, cyber risk |
| 113 | [Rapid7](https://secops-unpacked.ai/vendors/rapid7) | SIEM | 0.72 | 3.4 | next-gen, ai-driven, ai-powered, full attack, next-gen siem, real-time |
| 114 | [Arambh Labs](https://secops-unpacked.ai/vendors/arambh-labs) | AI SOC Pure Play | 0.71 | 3.6 | autonomous, agentic, agentic ai, end-to-end, ai agents, autonomous security |
| 115 | [AttackIQ](https://secops-unpacked.ai/vendors/attackiq) | Attack Simulation | 0.71 | 2.5 | agentic, detection coverage, continuous threat, security controls, ai agents, real-world |
| 116 | [StrangeBee](https://secops-unpacked.ai/vendors/strangebee) | CIRM / Case Management | 0.71 | 0.9 | use cases, real-time, cyber defense, full visibility, alert fatigue, cost-effective |
| 117 | [UnderDefense](https://secops-unpacked.ai/vendors/underdefense) | MDR | 0.71 | 2.4 | security posture, 24/7 monitoring, agentic, agentic ai, ai-powered, real-world |
| 118 | [AiStrike](https://secops-unpacked.ai/vendors/aistrike) | AI SOC Pure Play | 0.71 | 3.9 | ai-native, ai-native security operations, named a leader, ai-native security operations platform, alert noise, autonomous |
| 119 | [Arcanna AI](https://secops-unpacked.ai/vendors/arcanna-ai) | AI SOC Pure Play | 0.71 | 3.0 | agentic, agentic workflows, human control, modern soc, agentic investigation, ai platform |
| 120 | [Spharaka](https://secops-unpacked.ai/vendors/spharaka) | AI SOC Pure Play | 0.71 | 5.2 | autonomous, agentic, ai-native, agentic ai, autonomous investigation, complete visibility |
| 121 | [Nebulock](https://secops-unpacked.ai/vendors/nebulock) | Threat Hunting | 0.71 | 3.4 | agentic, autonomous, autonomously, coverage gaps, accelerate investigations, always-on |
| 122 | [Qevlar](https://secops-unpacked.ai/vendors/qevlar) | AI SOC Pure Play | 0.70 | 2.6 | autonomous, autonomous soc, end-to-end, autonomously, closes the loop, real threats |
| 123 | [Beacon Security](https://secops-unpacked.ai/vendors/beacon-security) | Data Pipeline | 0.70 | 3.0 | agentic, ai agents, agentic soc, pre-built, data layer, real-time |
| 124 | [7AI](https://secops-unpacked.ai/vendors/7ai) | AI SOC Pure Play | 0.70 | 2.1 | agentic, ai agents, force multiplier, agentic security, security platform, agentic security platform |
| 125 | [Monad](https://secops-unpacked.ai/vendors/monad) | Data Pipeline | 0.70 | 1.7 | high-value, real-time, use cases, artificial intelligence, data security, detect and respond |
| 126 | [Splunk](https://secops-unpacked.ai/vendors/splunk) | SIEM | 0.70 | 2.0 | use cases, at machine speed, machine speed, gartner peer, respond faster, agentic |
| 127 | [AirMdr](https://secops-unpacked.ai/vendors/airmdr) | MDR | 0.70 | 3.6 | agentic, agentic ai, ai-powered, audit-ready, real-time, ai agents |
| 128 | [Cribl](https://secops-unpacked.ai/vendors/cribl) | Data Pipeline | 0.70 | 1.7 | ai platform, ai-driven, ai-powered, 10x, ai agents, blind spots |
| 129 | [Kai Security](https://secops-unpacked.ai/vendors/kai-security) | CTEM | 0.70 | 2.0 | autonomous, machine speed, risk reduction, autonomous defense, continuous threat, ai-enabled |
| 130 | [Swimlane](https://secops-unpacked.ai/vendors/swimlane) | Automation | 0.69 | 2.9 | agentic, agentic ai, ai agents, agentic investigation, pre-built, ai-assisted |
| 131 | [Legion Security](https://secops-unpacked.ai/vendors/legion-security) | AI SOC Pure Play | 0.69 | 2.4 | agentic, agentic security, use cases, agentic security operations, agentic workforce, ai agents |
| 132 | [Above Security](https://secops-unpacked.ai/vendors/above-security) | Insider Risk | 0.69 | 1.4 | real-time, agentic, agentic ai, ai agents, use cases, real risk |
| 133 | [Databricks](https://secops-unpacked.ai/vendors/databricks) | SIEM | 0.69 | 3.5 | ai platform, agentic, real-time, lock-in, ai agents, ai-driven |
| 134 | [Elezar](https://secops-unpacked.ai/vendors/elezar) | Threat Hunting | 0.69 | 1.2 | autonomous, autonomous threat hunting, manual work, security stack, autonomously, connect your security stack |
| 135 | [dndx AI](https://secops-unpacked.ai/vendors/dndx-ai) | Automation | 0.69 | 3.6 | real-time, ai-powered, ai-driven, cyber threats, artificial intelligence, 24/7 monitoring |
| 136 | [Trellix](https://secops-unpacked.ai/vendors/trellix) | AI SOC Capability | 0.69 | 3.2 | data security, ai-powered, security solutions, agentic, agentic soc, customer success |
| 137 | [Tidal Cyber](https://secops-unpacked.ai/vendors/tidal-cyber) | Detection Engineering | 0.69 | 2.1 | threat-informed defense, cyber risk, security posture, security stack, stay ahead, artificial intelligence |
| 138 | [Vega](https://secops-unpacked.ai/vendors/vega) | SIEM | 0.69 | 3.5 | agentic, cyber defense, agentic cyber defense, agentic detection, agentic triage, ai-native |
| 139 | [DeepWatch](https://secops-unpacked.ai/vendors/deepwatch) | MDR | 0.69 | 5.2 | stay ahead, ai-native, existing security, rip-and-replace, ai-powered, security outcomes |
| 140 | [Mars Security](https://secops-unpacked.ai/vendors/marssecurity) | Detection Engineering | 0.69 | 2.7 | agentic, agentic soc, automated threat, automated threat detection, autonomous, autonomous soc |
| 141 | [Tencyle](https://secops-unpacked.ai/vendors/tencyle) | AI SOC Pure Play | 0.68 | 2.8 | real-time, autonomous, autonomous investigations, end-to-end, reduce mttr, response times |
| 142 | [Cymph](https://secops-unpacked.ai/vendors/cymph) | SecOps Resilience | 0.68 | 0.9 | close the gaps, respond with confidence, audit-ready, security stack, automated workflows, business impact |
| 143 | [Zscaler Agentic Security Operations](https://secops-unpacked.ai/vendors/zscaler) | AI SOC Capability | 0.68 | 3.6 | agentic, ai agents, machine speed, ai-powered, ai-driven, data security |
| 144 | [Fig](https://secops-unpacked.ai/vendors/fig) | SecOps Resilience | 0.68 | 1.0 | autonomous, cyber resilience, fortune 500, ground truth, 10x, modern soc |
| 145 | [Embed Security](https://secops-unpacked.ai/vendors/embed-security) | AI SOC Pure Play | 0.68 | 3.8 | agentic, agentic security, ai agents, agentic security platform, modern soc, security platform |
| 146 | [StrikeReady](https://secops-unpacked.ai/vendors/strikeready) | AI SOC Capability | 0.68 | 2.6 | agentic, agentic ai, full coverage, take action, ai agents, ai security operations platform |
| 147 | [DataBee](https://secops-unpacked.ai/vendors/databee) | Data Pipeline | 0.67 | 2.3 | cyber risk, risk management, ai-native, ai-powered, ai-native platform, business context |
| 148 | [Asymmetric Security](https://secops-unpacked.ai/vendors/asymmetric-security) | DFIR / Forensics | 0.67 | 0.7 | ai-native, cut through the noise |
| 149 | [CyberProof](https://secops-unpacked.ai/vendors/cyberproof) | AI SOC Capability | 0.67 | 3.4 | agentic, ai agents, security posture, agentic ai, real-time, business impact |
| 150 | [Andesite](https://secops-unpacked.ai/vendors/andesite) | AI Agent Builder | 0.67 | 2.2 | use cases, actionable insights, ai-driven, human oversight, real-time, agentic |
| 151 | [Kindo](https://secops-unpacked.ai/vendors/kindo) | AI Agent Builder | 0.67 | 1.8 | ai agent, agentic, ai agents, enterprise ai, ai-native, use cases |
| 152 | [HarkX](https://secops-unpacked.ai/vendors/harkx) | AI SOC Pure Play | 0.67 | 6.3 | autonomous, ai agents, investigation time, security posture, agentic, agentic ai |
| 153 | [Mave](https://secops-unpacked.ai/vendors/mave) | AI SOC Pure Play | 0.66 | 2.9 | evidence-backed, agentic, agents investigate, ai agents, ai security operations platform, blind spots |
| 154 | [Sharelock](https://secops-unpacked.ai/vendors/sharelock) | ITDR | 0.66 | 3.9 | agentic, agentic ai, security posture, autonomous, autonomously, ai platform |
| 155 | [Conifers](https://secops-unpacked.ai/vendors/conifers) | AI SOC Pure Play | 0.66 | 3.0 | agentic, machine speed, autonomous, at machine speed, autonomous agents, agentic ai |
| 156 | [Cyngular Security](https://secops-unpacked.ai/vendors/cyngular-security) | AI SOC Pure Play | 0.66 | 4.7 | agentic, agentic soc, autonomous, autonomously, end-to-end, real-time |
| 157 | [Prophet Security](https://secops-unpacked.ai/vendors/prophet-security) | AI SOC Pure Play | 0.66 | 3.3 | force multiplier, security analyst, real threats, ai soc analyst, soc analyst, agentic |
| 158 | [EXTRAHOP](https://secops-unpacked.ai/vendors/extrahop) | NDR | 0.65 | 3.3 | agentic, agentic soc, real-time, machine speed, blind spots, autonomous |
| 159 | [eSentire Inc.](https://secops-unpacked.ai/vendors/esentire-inc) | MDR | 0.65 | 2.7 | autonomous, machine speed, agentic, agentic ai, at machine speed, real-time |
| 160 | [Zynap](https://secops-unpacked.ai/vendors/zynap) | AI SOC Pure Play | 0.65 | 3.3 | ai agents, real-time, ai-driven, context-aware, stay ahead, agentic |
| 161 | [CriticalStart](https://secops-unpacked.ai/vendors/criticalstart) | MDR | 0.64 | 5.3 | soc ai, agentic, agentic ai, ai agents, data stays, ai investigates every alert |
| 162 | [AquilaI](https://secops-unpacked.ai/vendors/aquilai) | SIEM | 0.64 | 2.9 | ai-native, purpose-built, real-time, real-world, security posture, cyber defense |
| 163 | [Cognna](https://secops-unpacked.ai/vendors/cognna) | AI SOC Pure Play | 0.64 | 6.0 | ai-led, agentic, agentic ai, agentic ai soc, agentic ai soc platform, real-time |
| 164 | [NextSOC](https://secops-unpacked.ai/vendors/nextsoc) | AI SOC Pure Play | 0.63 | 3.9 | autonomous, agentic, autonomous soc, ai agents, existing security, agentic security |
| 165 | [SafeBreach](https://secops-unpacked.ai/vendors/safebreach) | Attack Simulation | 0.63 | 3.0 | security controls, security posture, real-world, cyber risk, closed-loop, existing security |
| 166 | [PaloAlto](https://secops-unpacked.ai/vendors/paloalto) | SIEM | 0.63 | 3.9 | ai-driven, agentic, autonomous, next-generation, ai-driven security, ai-driven security operations |
| 167 | [SecGenie AI](https://secops-unpacked.ai/vendors/secgenie-ai) | AI SOC Pure Play | 0.62 | 5.7 | cyber defense, alert noise, ai-powered, ai-powered cybersecurity, continuous threat, existing security |
| 168 | [Wraithwatch](https://secops-unpacked.ai/vendors/wraithwatch) | AI SOC Pure Play | 0.62 | 1.6 | cyber defense, autonomously, existing security, existing stack, fortune 500, human-in-the-loop |
| 169 | [BreachRx](https://secops-unpacked.ai/vendors/breachrx) | CIRM / Case Management | 0.62 | 1.2 | agentic, real-time, agentic ai, ai-accelerated, cyber resilience, real-time visibility |
| 170 | [Securaa](https://secops-unpacked.ai/vendors/securaa) | AI SOC Capability | 0.62 | 5.1 | real-time, agentic, agentic ai, ai-driven, ai-powered, autonomous |
| 171 | [Stellar Cyber](https://secops-unpacked.ai/vendors/stellar-cyber) | SIEM | 0.61 | 4.6 | agentic, ai-driven, autonomous, ai-powered, autonomous soc, security stack |
| 172 | [SentinelOne](https://secops-unpacked.ai/vendors/sentinelone) | SIEM | 0.60 | 3.0 | autonomous, data layer, real-time, ai-native, hyperautomation, single platform |
| 173 | [Torq](https://secops-unpacked.ai/vendors/torq) | AI SOC Capability | 0.60 | 3.9 | agentic, agentic soc, ai agents, autonomously, agentic ai, hyperautomation |
| 174 | [Imperum](https://secops-unpacked.ai/vendors/imperum) | AI Agent Builder | 0.60 | 1.5 | autonomous, autonomous soc, agentic, ai agents, hyperautomation, ai assistant |
| 175 | [Method Security](https://secops-unpacked.ai/vendors/method-security) | AI SOC Pure Play | 0.60 | 1.7 | autonomous, autonomous agents, cyber resilience, 24/7 coverage, ai capabilities, enterprise scale |
| 176 | [Fortinet](https://secops-unpacked.ai/vendors/fortinet) | SIEM | 0.59 | 2.6 | ai-driven, agentic, next-generation, agentic ai, ai era, ai-driven security |
| 177 | [Shuffle](https://secops-unpacked.ai/vendors/shuffle) | Automation | 0.59 | 1.0 | pre-built, security platform, ai agents, detect and respond, detect and respond to threats, security stack |
| 178 | [RedCarbon](https://secops-unpacked.ai/vendors/redcarbon) | AI SOC Pure Play | 0.59 | 3.2 | real-time, ai agents, ai-powered, agentic, agentic ai, agentic ai platform |
| 179 | [Digital Hands](https://secops-unpacked.ai/vendors/digital-hands) | MDR | 0.58 | 2.7 | security posture, ai agent, ai agents, security program, at machine speed, machine speed |
| 180 | [Rilian](https://secops-unpacked.ai/vendors/rilian) | AI SOC Pure Play | 0.58 | 2.7 | agentic, built by practitioners, security experts, security stack, agentic intelligence, agentic security |
| 181 | [Tenacium DC](https://secops-unpacked.ai/vendors/tenacium) | Data Analytics / UABA | 0.57 | 0.2 | cyber resilience, end-to-end, evidence-backed, full-stack, human-in-the-loop |
| 182 | [Abstract](https://secops-unpacked.ai/vendors/abstract-security) | SIEM | 0.57 | 2.0 | ai-enabled, cloud-native, ai-assisted, ai-powered, control plane, data lives |
| 183 | [PRE Security](https://secops-unpacked.ai/vendors/pre-security) | SIEM | 0.57 | 5.1 | ai-native, agentic, natural language, agentic ai, ai era, cost-effective |
| 184 | [TrendAI](https://secops-unpacked.ai/vendors/trendai) | SIEM | 0.56 | 3.2 | ai era, cyber risk, built for the ai era, agentic, proactive security, real-time |
| 185 | [Jazz](https://secops-unpacked.ai/vendors/jazz) | Insider Risk | 0.56 | 1.8 | agentic, immediate time-to-value, time-to-value, data security, ai-driven, ai-native |
| 186 | [Arctic Wolf](https://secops-unpacked.ai/vendors/arctic-wolf) | MDR | 0.55 | 3.0 | agentic, agentic soc, real-world, security posture, security experts, agentic ai |
| 187 | [Databahn](https://secops-unpacked.ai/vendors/databahn) | Data Pipeline | 0.55 | 2.9 | ai agents, control plane, agentic, real-time, ai-powered, best practices |
| 188 | [Joon](https://secops-unpacked.ai/vendors/joon) | AI Agent Builder | 0.55 | 3.4 | autonomous, agentic, safely, security stack, soc analyst, 100 alert coverage |
| 189 | [Airrived](https://secops-unpacked.ai/vendors/airrived) | AI SOC Pure Play | 0.53 | 5.1 | agentic, agentic ai, autonomous, agentic ai platform, ai platform, security solutions |
| 190 | [Corma](https://secops-unpacked.ai/vendors/corma) | AI SOC Pure Play | 0.20 | 1.7 | cyber defense, existing security, existing security stack, purpose-built, security stack |

Held for review, not ranked: Datadog, ServiceNow, SOCAI.

## Leaderboard, October 2026

30 Sep 2026 to 31 Oct 2026: 171 vendors compared, 166 changed their copy, moves of at least 0.05 substance or 0.50 buzzwords per 100 words.

### Most improved

- Brava: substance 0.13 → 0.88 (+0.76). Why: more concrete copy, explains how it works, names what it covers
- Spharaka: substance 0.19 → 0.71 (+0.52). Why: names what it covers, explains how it works, more concrete copy
- AquilaI: substance 0.14 → 0.64 (+0.49). Why: explains how it works, names what it covers, more concrete copy
- Shuffle: substance 0.15 → 0.59 (+0.44). Why: names what it covers, names integrations, explains how it works
- RAD Security: substance 0.49 → 0.76 (+0.28). Why: names integrations, explains how it works, more concrete copy
- StrikeReady: substance 0.42 → 0.68 (+0.26). Why: explains how it works, backs its numbers
- ThreatDefence: substance 0.24 → 0.47 (+0.23). Why: names what it covers, explains how it works
- Culminate: substance 0.64 → 0.84 (+0.20). Why: says what people approve, explains how it works, names integrations
- Cotool: substance 0.65 → 0.84 (+0.19). Why: names integrations, more concrete copy
- Command Zero: substance 0.61 → 0.79 (+0.19). Why: names integrations, more concrete copy
- Ontinue: substance 0.67 → 0.80 (+0.13). Why: says what people approve, backs its numbers, names integrations
- Sirp: substance 0.67 → 0.78 (+0.11). Why: names integrations
- ReliaQuest: substance 0.64 → 0.73 (+0.09). Why: says what people approve
- D3 Security: substance 0.72 → 0.80 (+0.08). Why: names integrations
- SOC Prime: substance 0.75 → 0.83 (+0.08)
- SOCNova: substance 0.77 → 0.84 (+0.07). Why: names integrations
- Rilian: substance 0.57 → 0.64 (+0.07). Why: names integrations
- Detections AI: substance 0.73 → 0.80 (+0.07). Why: says what people approve
- Method Security: substance 0.58 → 0.64 (+0.06). Why: backs its numbers
- Legion Security: substance 0.61 → 0.66 (+0.06). Why: names what it covers
- Cylerian: substance 0.68 → 0.73 (+0.05). Why: names integrations
- EXTRAHOP: substance 0.60 → 0.65 (+0.05). Why: backs its numbers

### Slipped

- Kindo: substance 0.77 → 0.67 (−0.10). Why: names integrations
- Fortinet: substance 0.68 → 0.60 (−0.08). Why: explains how it works
- Tier4 AI: substance 0.70 → 0.64 (−0.06). Why: explains how it works
- 7AI: substance 0.74 → 0.69 (−0.05). Why: names integrations

### Cut the most buzz

- Spharaka: buzz 15.38 → 4.59 per 100 words (−10.79)
- AquilaI: buzz 9.52 → 2.90 per 100 words (−6.62)
- RAD Security: buzz 10.81 → 4.59 per 100 words (−6.22)
- StrikeReady: buzz 5.32 → 2.56 per 100 words (−2.76). Dropped: ai-powered, security analyst, ai-driven
- Cotool: buzz 2.97 → 0.87 per 100 words (−2.10). Dropped: ai agents, entire security, security stack
- ThreatDefence: buzz 4.55 → 2.74 per 100 words (−1.81)
- Sharelock: buzz 5.24 → 3.53 per 100 words (−1.71). Dropped: risk-based, ai-driven, stop threats
- ReliaQuest: buzz 5.20 → 3.74 per 100 words (−1.46). Dropped: using ai, ai-driven, security operations platform
- Sirp: buzz 4.63 → 3.76 per 100 words (−0.87). Dropped: autonomous, autonomous soc, autonomous security
- Secure.com: buzz 2.25 → 1.40 per 100 words (−0.85). Dropped: audit-ready, cyber defense, real-time
- Tuskira: buzz 3.10 → 2.47 per 100 words (−0.63). Dropped: agentic secops platform, real-time, ai-driven
- Kindo: buzz 3.07 → 2.47 per 100 words (−0.60). Dropped: ai-driven, ai-native, autonomous
- Ontinue: buzz 3.12 → 2.53 per 100 words (−0.59). Dropped: ai-powered, cyber defense, response times
- SOCNova: buzz 1.84 → 1.26 per 100 words (−0.58). Dropped: next-generation, ai-driven, business impact

### Added buzz

- Tier4 AI: buzz 3.76 → 5.67 per 100 words (+1.91). Added: full coverage, fully managed, ai-powered
- Culminate: buzz 2.11 → 3.27 per 100 words (+1.16). Added: security analyst, named a leader, autonomous
- Shuffle: buzz 0.00 → 0.99 per 100 words (+0.99). Added: pre-built, security platform, ai agents
- Anomali: buzz 3.69 → 4.45 per 100 words (+0.76). Added: ai agents, at machine speed, machine speed
- Fortinet: buzz 1.95 → 2.71 per 100 words (+0.76). Added: ai-native, detect threats
- Legion Security: buzz 1.88 → 2.55 per 100 words (+0.67). Added: agentic, agentic security, use cases
- Brava: buzz 0.00 → 0.64 per 100 words (+0.64). Added: detection coverage, plain english, security operations platform
- CrowdStrike: buzz 3.42 → 3.99 per 100 words (+0.57). Added: agentic, ai-powered, real-time
- Sekoia: buzz 3.96 → 4.52 per 100 words (+0.56). Added: autonomous, autonomous soc, autonomous soc platform
- Method Security: buzz 1.06 → 1.61 per 100 words (+0.55). Added: autonomous, autonomous agents
- Tines: buzz 1.71 → 2.24 per 100 words (+0.53). Added: real-world, ai agents, ai agent
- Tenex AI: buzz 3.23 → 3.74 per 100 words (+0.51). Added: agentic, ai-native, agentic ai

## Market read

Agentic branding, Machine speed, Agent autonomy: 33% of all buzzword mentions.

Most crowded positioning messages, by share of vendors:

- machine speed: 87% (167 vendors)
- unified end to end: 85% (165 vendors)
- analyst capacity: 84% (162 vendors)
- detection and hunting: 84% (162 vendors)
- complete coverage: 81% (156 vendors)
- agentic branding: 80% (155 vendors)
- ai native claim: 78% (151 vendors)
- fits existing stack: 78% (151 vendors)
- agent autonomy: 75% (144 vendors)
- alert noise reduction: 75% (144 vendors)

40 of 73 words are barely searched, 10 of them on a fifth of vendor sites or more. 26 are searched more than a year earlier.

## Questions and answers

### What is BuzzScan?

BuzzScan reads the public product pages of every vendor in the directory each week. It measures how much of the copy is buzzwords and how much is concrete detail, and tracks how vendors change their positioning over time.

### What is the buzz score?

The number of buzzwords per 100 words of a vendor's website copy. A higher number means more of the copy is marketing vocabulary. It is a rate, so a long site and a short site can be compared.

### What is the substance score?

A score from 0 to 1 for how much concrete detail a vendor's website copy gives: how the product works, what it covers, which tools it connects to, and the evidence behind its numbers. Percentiles compare each vendor with the rest of the directory.

### Does a high buzz score mean the product is weak?

No. Scores describe website copy, not product quality or ASEF evaluation results. A strong product can have vague copy, and precise copy does not prove that a product works.

### How often are vendors scanned?

Pages are read weekly from each vendor's public website. The Buzz map and its ranking show the latest scan, and the leaderboard compares scans a month apart.

### Why is a vendor missing from the map or the ranking?

The map plots vendors with at least 150 words of copy, because below that the rates are too noisy to compare. A vendor whose scanned copy does not give the full context yet is held for review: it is listed separately and is not ranked.

### Can a vendor pay to change its score?

No. Paid plans unlock views. They never change a vendor's scores or which moves are shown.

### How does the leaderboard decide who moved?

Each month BuzzScan compares every vendor's site with the scan a month before. A vendor is listed only when it rewrote its own copy on the same pages and its score moved by at least 0.05 substance or 0.5 buzzwords per 100 words. A big move from a small edit is checked before it is published. Substance runs from 0 to 1; buzz is buzzwords per 100 words of copy. Scores describe website copy, not the product.

### Is the scoring method public?

The signals the substance score looks for are public and listed on this page. The weights, prompts and phrase lists behind the scores are not published.