The AI Brain for Technical Operations
Only Kindo delivers fully self-managed AI automation with a complete toolchain and a DevSecOps-specific LLM that runs securely on premises. Deep Hat combines real-world adversary training, RAG, and low-latency inference to bring agentic, context-aware decisioning to the frontlines of infrastructure security and technical operations.
Your AI Transformation Begins in Operations
From your SecOps teams triaging threats, to DevOps teams managing code and cloud, to ITOps teams fighting to maintain reliability, Ops is where inefficiency hits hardest. And it’s also where AI-native agents can immediately drive impact.
SecOps
Threat Intelligence Enrichment
Convert threat feeds into actionable code and automated responses.
Incident Response
Correlate alerts and execute playbooks with full visibility.
Compliance Enforcement
Translate security policies into code and enforce in real time.
DevOps
Infrastructure as Code
Generate and validate IaC directly from high-level intents.
Vulnerability & Compliance
Continuously scan, prioritize, and auto-remediate code and infra.
Root Cause Analysis
Trace, patch, and prevent incidents across DevOps environments.
Kindo delivers measurable value through faster resolution, stronger security and fewer manual tasks. It’s automation that thinks, adapts, and scales so your teams can focus on what really matters.
From Fragmented Tools to a Single Intelligent Hub
Kindo acts as a centralized AI-native operations hub, orchestrating end-to-end processes that previously required hundreds of bolted together tools across the organization.
Kindo connects directly into the tools and layers you already use – Kubernetes clusters, cloud APIs, CI/CD pipelines, ITSM ticketing systems, security information and event management (SIEM) tools, even HPC job schedulers like Slurm.
“We used Kindo to accelerate and simplify our threat hunting processes, which enabled us to increase the value of our existing SIEM infrastructure and identify issues before they became real problems.
The time and potential impact have resulted in a cost savings of over $2M per year, and growing.”
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