Elastic vs Torq
Relationship
Elastic Security and Torq HyperAgents do comparable work on threat detection and response; both also serve buyers who need to detect and respond to security threats; smaller scale (private); ships AI agent rather than the same layer.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 9 capabilities — Shares agent orchestration, threat detection and response and workflow automation.
Ludbee capability tags · from the product recordsDifferent layer — Torq ships AI agent, not the same layer.
Ludbee product recordsSmaller scale — Torq: $1.2B valuation, against Elastic's $10.2B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Torq · 6
Recorded for Elastic. Torq’s product records say nothing either way — a missing record is not a missing capability.
Torq has no capability Elastic lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Elastic
No shared stack layer with the other side.
Torq
No shared stack layer with the other side.
No counterpart
Elastic sells these in a stack layer with no product recorded for Torq yet — nothing on the other side to compare them against.
Application
An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.
GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.
Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.
Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.
Agent platform
A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.
An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.
Platform
A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.
Model API
Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.
Torq sells these in a stack layer with no product recorded for Elastic yet — nothing on the other side to compare them against.
AI agent
An agentic engine that ingests and triages security alerts: normalizes them to OCSF, enriches with threat intelligence and business context, assigns verdicts with reasoning, suppresses noise, and escalates high-confidence threats to Torq Case Management and response agents.
Specialized, customizable AI agents that investigate, manage, and respond to security cases across the full threat lifecycle, operating as a coordinated team under Torq Socrates; an Agentic Builder lets teams describe a goal in natural language to have a new HyperAgent planned, built and tested.
An AI agent for security-operations teams that triages alerts, investigates cases with data pulled from connected tools, and carries out containment and remediation, with analysts able to review.