Kai is an agentic AI platform that unifies and automates security operations, replacing fragmented tools with a single autonomous layer that processes data, prioritizes risks, and executes remediation at machine speed. It delivers end‑to‑end capabilities such as rapid vulnerability triage, threat‑intel distillation, shadow‑IT discovery, and compliance automation, allowing enterprise security teams to focus on strategic decisions while the AI handles continuous large‑scale analysis and response.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams are overwhelmed by fragmented tools, manual ticket triage, and slow, human‑speed processes, while attackers operate at machine speed and scale, leading to missed risks and unmanageable alert volumes.
Solution
Kai provides an agentic AI platform that replaces disparate security tools with a unified, autonomous layer capable of end‑to‑end security work. The platform ingests data from across the security stack, applies AI reasoning to assess risk, prioritize actions, and execute remediation without human handoffs. It operates at machine speed, delivering outcomes such as rapid vulnerability triage, automated threat‑intel distillation, shadow‑IT discovery, and compliance automation. Human defenders retain strategic control, using the platform’s insights to focus on high‑impact decisions while the AI handles continuous, large‑scale analysis and response.
Target Audience
Primary customers are enterprise security operations teams and SOCs that need to scale detection, response, and compliance across large, complex environments.
Features
- Agentic AI engine that autonomously processes security data, prioritizes risks, and executes remediation steps
- Integrated detection engineering for enterprise, AppSec/SCA, SAST, and identity security workloads
- Automated threat modeling, CTI distillation, and mapping of controls to assets in real time
- Shadow‑IT and OT asset discovery without agents, identifying thousands of unmanaged resources
- SBOM‑based exposure profiling and regulatory compliance automation across multiple frameworks
- Log reduction and optimization to eliminate benign positives and reduce alert fatigue
- Unified workflow that consolidates tool outputs, enabling single‑pane visibility and action