Skip to main content
KL

KTLYST Labs

KTLYST Labs provides a Security Learning Control Plane (SLCP) that captures and structures knowledge from security incidents, threat intelligence, and investigations, then governs that information with provenance and ownership. The platform normalizes findings into Learning Artifacts and automatically enforces them as detections, playbooks, and controls across existing tools such as Splunk, Snowflake, Elastic, and ServiceNow, enabling enterprises to institutionalize lessons and reduce repeat breaches.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises typically operate dozens of security tools that function independently, resulting in fragmented incident response and loss of learned insights. Lessons from incidents, threat intelligence, and investigations remain in tickets, wikis, or individual analysts’ knowledge, leading to repeated breaches and ineffective defenses.

Solution

KTLYST Labs offers a Security Learning Control Plane (SLCP) that ingests security learnings from any source, normalizes them into structured Learning Artifacts with full evidence chains, and governs each artifact through ownership, approval, and immutable provenance. The platform then compiles these artifacts into actionable detections, playbooks, and controls that are automatically deployed to existing security platforms such as Splunk (SPL), Snowflake (SQL), Elastic (KQL), and ServiceNow. By maintaining an append‑only audit trail and character‑level provenance, the system ensures deterministic, auditable translations of knowledge. Each new artifact enriches the knowledge base, enabling faster, more consistent responses and reducing the likelihood of repeat attacks.

Target Audience

Primary customers are security operations centers, threat intelligence teams, and GRC groups within large enterprises that manage multiple security platforms and need a unified way to institutionalize and operationalize learned knowledge.

Features

  • Five‑stage pipeline: ingest, normalize, govern, enforce, and compound security learnings
  • Schema‑aware compilation that generates platform‑specific code (Splunk SPL, Snowflake SQL, Elastic KQL, ServiceNow workflows)
  • Deterministic zero‑inference extraction with character‑level provenance linking every output clause to its source text
  • Append‑only immutable audit trail capturing decisions, approvals, and modifications for full governance
  • Multi‑tenant role‑based access control with ownership and approval workflows
  • Automated translation of artifacts to production changes in under five minutes per item
  • Integration with 60+ security tools via native output connectors, eliminating the need for custom wrappers
This profile is AI-generated and may contain inaccuracies.