AI-Native Operations Platform for Security, DevOps, and IT

COMPANY OVERVIEW

AI-native operations platform consolidating Security, DevOps, and IT workflows into one unified terminal. Orchestrates multi-step incident response, infrastructure automation, and compliance workflows through agentic execution powered by proprietary security models. Deploys self-managed in customer environments to eliminate data exfiltration risks. Trusted by IBM, Google, Amazon, Aireon, and 300+ enterprises to automate SOC operations, threat hunting, CI/CD rollbacks, and audit preparation. Delivers $2M+ annual savings through reduced MTTR and 50-70% reduction in compliance overhead.

CORE FOCUS

Replaces fragmented tool sprawl with centralized AI orchestration across technical operations domains. Enables teams to bridge silos by turning natural language intent into multi-step execution chains that span Kubernetes, cloud APIs, CI/CD pipelines, ITSM systems, and SIEM platforms. Operates through Chat Actions for ad-hoc tasks and autonomous Agents for scheduled workflows. Prioritizes trust through audit trails, execution transparency, and human-in-the-loop controls. Integrates Deep Hat—an uncensored offensive security model trained on DevSecOps data for red teaming, exploit path analysis, and attacker-grade reasoning without censorship constraints that limit commercial LLMs.

PRODUCTS & TOOLS

Kindo Terminal – AI-native command center unifying Chat and Agents for cross-domain technical operations.

• Single interface replaces hundreds of bolted-together tools across Security, Dev, and IT teams
• Context-aware execution adapts workflows based on infrastructure state and user intent
• Connects to Kubernetes clusters, cloud providers, security tools, ticketing systems, and job schedulers natively
• Self-managed deployment keeps sensitive data and execution fully under customer control

Deep Hat v2 – Uncensored offensive security model for red teaming and exploit development.

• Maps attack footholds, chains weaknesses, and explores exploit paths with uncensored adversary-grade reasoning
• Trained on DevSecOps datasets including penetration testing scripts, vulnerability research, and security tooling
• Generates working exploit code and security testing scripts without commercial LLM safety guardrails
• Powers agentic swarms that operate with the same depth as AI-armed adversaries
• 300+ enterprises use Deep Hat for controlled offensive security operations

SOC & Incident Response Automation – Alert enrichment, timeline reconstruction, and response orchestration in unified workflows.

• Ingests multi-source alerts into single investigation context with automatic correlation across users, hosts, services
• Reconstructs attack timelines showing how incidents started and spread without manual analysis
• Prioritizes incidents by impact, scope, and risk with AI-generated containment plans
• Reduces alert fatigue by suppressing false positives and enriching actionable signals
• $2M+ annual savings for global infrastructure providers through accelerated threat hunting

Infrastructure & DevOps Automation – CI/CD rollback orchestration and deployment workflow optimization.

• Automates pipeline rollbacks with root cause analysis and remediation recommendations
• 80% reduction in DevOps overhead for deployment management and troubleshooting
• Validates infrastructure against guardrails and proposes Terraform changes for cloud drift
• Builds live network maps with reachability checks and secure access proposals

Governance, Risk & Compliance Automation – Evidence collection, policy enforcement, and audit report generation.

• Auto-collects compliance evidence across infrastructure and enforces policy guardrails
• Generates auditable reports mapped to framework requirements (SOC2, ISO 27001, PCI DSS)
• 50-70% reduction in audit preparation costs through automated evidence workflows
• Continuous compliance monitoring with deviation alerts and remediation playbooks

Identity & Access Management Workflows – Posture scanning, approval routing, and least privilege enforcement.

• Scans identity configurations for excessive permissions and stale access
• Routes access requests through approval chains with context-aware risk assessment
• Enforces least privilege policies automatically based on usage patterns

TARGET MARKET

Enterprise Security Operations Centers seeking to reduce MTTR and eliminate alert fatigue through AI orchestration. DevOps teams managing complex CI/CD pipelines requiring intelligent rollback automation. IT Operations groups consolidating tool sprawl across Kubernetes, cloud platforms, and legacy systems. Organizations preparing for compliance audits (SOC2, ISO, PCI) needing evidence automation. Red teams and penetration testers requiring uncensored offensive AI for exploit development and adversary simulation. Mid-to-large enterprises across financial services, infrastructure providers, and technology firms running self-managed security programs.

DIFFERENTIATORS

Only platform unifying Security, Dev, and IT operations into single AI-native terminal—eliminates cross-domain coordination overhead plaguing siloed teams. Self-managed deployment model ensures sensitive security data and AI execution never leave customer infrastructure, addressing compliance and data residency concerns. Deep Hat delivers uncensored offensive reasoning unavailable in commercial LLMs constrained by safety policies—enables realistic red team scenarios matching adversary capabilities. Execution transparency through full audit trails and human-in-the-loop controls builds trust for security-critical automation. Proven ROI with $2M+ savings in threat hunting, 80% DevOps overhead reduction, and 50-70% compliance cost cuts. Trusted by Fortune 500 enterprises (IBM, Google, Amazon) validating production-grade reliability at scale.