Why Kindo — Kindo Training Portal

Slide 1 of 8

K

Why Kindo?

The AI-native automation platform built for enterprise security operations.

26+

AI Models

100%

Data Sovereignty

∞

AI Agnostic

🎙 Narration: "Welcome. Today we'll show you why Kindo is the AI platform purpose-built for enterprise security teams — and why Deloitte has chosen it for cybersecurity operations."

Slide 2 of 8

The Challenge

Enterprise cybersecurity teams face a fundamental tension: they need AI to keep pace with threats, but most AI platforms create new risks.

🔒 Data leakage risk — Consumer AI tools send sensitive data to third-party servers. For cybersecurity teams handling classified threat data, this is unacceptable.
🔗 Vendor lock-in — Most platforms tie you to a single AI model. When a better model launches, you can't switch without rebuilding everything.
📋 Chat-only AI — General-purpose chatbots answer questions. They don't do anything — they can't create tickets, query your SIEM, or execute runbooks.
🏢 No enterprise controls — Consumer tools lack DLP, RBAC, audit logging, and SSO. You can't deploy them in a regulated environment.

🎙 Narration: "Security teams need AI that works — but most AI platforms create more problems than they solve. Data leaves your network, you're locked to one vendor, the AI can only chat — it can't act — and there are no enterprise controls."

Slide 3 of 8

Data Sovereignty

Your data stays in your environment. Period.

Kindo supports full on-premises deployment. The entire platform — AI models, governance engine, audit logs — runs in your infrastructure. No data leaves your network. Ever.

🏠 Self-hosted deployment — Run Kindo in your VPC, your data center, or your air-gapped environment
🔐 Model isolation — Self-managed AI models run on your GPUs. Prompts never touch external servers.
🛡 DLP at every boundary — PII, credentials, and custom patterns detected and redacted before reaching any model
📊 Audit everything — Every interaction logged in your infrastructure with full traceability

🎙 Narration: "Data sovereignty isn't a feature toggle — it's an architecture decision. Kindo runs entirely in your infrastructure. Your AI models, your data, your audit logs — all inside your security boundary. Nothing leaks."

Slide 4 of 8

AI Agnostic

Use any model. Switch anytime. Zero lock-in.

26+

Built-in Models

4

Action Chat & Action Bots

AI that doesn't just answer questions — it does things.

Action Chat

⚡ Connect to Splunk, CrowdStrike, Jira, ServiceNow — query real data in natural language
📎 Upload logs, configs, and reports for AI-powered analysis
🔍 Library Search, Web Search, and URL Search to extend the AI's knowledge

Action Bots

🤖 Workflow Bots — Automate your runbooks and playbooks with multi-step AI workflows
⚡ Trigger Bots — Respond automatically to security events (new alerts, tickets, detections)
⏰ Scheduled Bots — Daily CVE summaries, compliance checks, status reports
💬 Chatbots — Knowledge-powered helpdesk for your team's policies and procedures

🎙 Narration: "This is what separates Kindo from consumer AI. Action Chat connects to your live tools — Splunk, CrowdStrike, Jira — so the AI reads and writes real data. Action Bots automate your runbooks: they can triage vulnerabilities, create tickets, and send alerts — all without a human in the loop."

Slide 6 of 8

Enterprise Grade

Security controls built for regulated environments.

🔐 SSO & Identity — Okta, Azure AD, Google Workspace. Group sync and automatic provisioning.
👥 RBAC — Control who accesses which models, integrations, and agents. Per-user, per-group.
🛡 DLP Filters — PII, credentials, and custom patterns detected and redacted automatically. Per-model policies.
📋 Audit Logging — Every interaction logged. Export to Splunk, Datadog, or your SIEM.
🏛️ Compliance — Aligned with NIST CSF, SOC 2, GDPR, FedRAMP, HIPAA.

Every message, every model response, every agent action — logged, auditable, and protected by DLP. This is AI you can deploy in a regulated enterprise.

🎙 Narration: "Enterprise grade means SSO, role-based access control, DLP filtering on every interaction, and complete audit logging. Every message is traced. Every model response is filtered. Every action is logged. This is AI that meets compliance requirements — NIST, SOC 2, GDPR, and FedRAMP."

Slide 7 of 8

Why Kindo for Deloitte

Kindo is uniquely positioned for Deloitte's cybersecurity practice.

🏢 Built for your environment — On-prem deployment meets Deloitte's data sovereignty requirements
🔐 Cybersecurity-first — DeepHat and purpose-built security workflows, not general-purpose chat
🔧 Integrates with your stack — CrowdStrike, Splunk, Jira, ServiceNow — the tools you already use
📈 Scalable program — Start with 25 super users, scale to 75+ engineers with structured training
🎯 Measurable outcomes — Track adoption, usage, and impact through built-in analytics

The goal: Create Kindo power users at Deloitte — engineers who use AI daily to detect threats faster, respond to incidents smarter, and automate the runbooks that consume hours of manual work.

🎙 Narration: "For Deloitte specifically — Kindo deploys on-prem, integrates with the tools your cybersecurity engineers already use, and includes purpose-built security AI. The goal is simple: create power users who use AI every day to work faster and smarter."

Slide 8 of 8

K

Get Started

Choose your track and begin your Kindo journey.

🎙 Narration: "Ready to get started? Choose the Practitioner Track to learn how to use Kindo daily, or the Technical Track to learn how to deploy and administer it. Let's build the future of cybersecurity operations together."