| A | B | C | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | |
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1 | Torq | Subcategory | Vendor answer | ||||||||||||||||||||||
2 | Demonstrated efficiency improvements | MTTD reduced in half, 90% of responses automated, case studies to support those values. 3-5X bigger alert throughput, 90% of T1 and T2 tickets closed automatically. | |||||||||||||||||||||||
3 | Alert escalation rate, True/False positive accuracy and verification method | 5-10% of alerts being escalated, alerts validated by customers, using two tier automation where a 'smarter agent' verifies verdict. | |||||||||||||||||||||||
4 | Investigation speed, Scalability and performance during peak load | Investigation speed in minutes (dependent on 3rd party), platform horizontally scalable but dependant on SaaS providers like Azure, OpenI etc.) Average load closly monitored by Torq's engineering team. | |||||||||||||||||||||||
5 | Context enrichment and artifact analysis | Context collection via API calls to data sources, agentic conversations using Teams or Slack to gather context | |||||||||||||||||||||||
6 | Detection of novel/unknown threats/AI evastion handling | Platform handles AI evasion and suopports anomaly detection based on user access patterns, timing etc. but can result in a high volume of false positives. | |||||||||||||||||||||||
7 | Explainability, Human feedback integration and learning speed | AI choices fully explained, human feedback possible, platform learns immediately after getting feedback. | |||||||||||||||||||||||
8 | Time to full operation | Torq’s four-phase deployment timeline spans from initial setup and integrations in days 1–3, to template-based workflow implementation with early automation outcomes by days 4–7, followed by advanced automation and AI agent deployment in weeks 2–3, and reaching full operational status by weeks 3–4. | |||||||||||||||||||||||
9 | Integrations (out of the box, headless, custom) | 300+ robust out of the box integrations, support for on-prem deployments, headless mode and integrations into communication apps. | |||||||||||||||||||||||
10 | Multi-tenancy, data retention, export, governance, delection control | Multi tenancy and full data governance supported. | |||||||||||||||||||||||
11 | Additional capabilities beyond detection and response | Log storage / management, threat hunting, BYOC, hybrid and on-prem deployment options | |||||||||||||||||||||||
12 | Compliance with security standards | ISO 27001, STAR level one, HIPAA, CCPA, AICPA SOC, GDPR | |||||||||||||||||||||||
13 | Licensing model, Total cost of ownership and hidden costs | Torq offers two distinct licensing models: one for its Hyperautomation platform, based on employee count, workspaces, and add-ons, and another for its HyperSOC product, tiered by daily security event volume, both designed to support scalability, predictability, and flexible deployment for enterprise SOCs. | |||||||||||||||||||||||
14 | Roadmap visibility and feature requestability | Roadmap visible and features can be requested. | |||||||||||||||||||||||
15 | Support availability and SLAs | Support tiers range from Standard (8x5 remote support with basic onboarding) to Premium (24/7 global support with regular check-ins and business reviews) to Premium+ (enhanced 24/7 support with dedicated success team, senior experts, and optional on-site training). | |||||||||||||||||||||||
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