Enterprise AI needs trusted data. IndyKite brings trust, visibility, and control—connecting and governing data to power intelligent applications
Joined July 2021
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AI decisions don’t usually happen in one system or one moment.
They span tools, users, and time.
Most traditional architectures lose that context.
Context graphs make decision history explicit and durable.
That’s how you can make AI governable👇
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AI agents aren’t just watching anymore. They’re acting.
Yet, many teams still secure access, not actions.
That gap is how platforms get taken over.
Entry control isn’t enough. You need to control execution.
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IndyKite Neo4j reinforce a strong foundation for trusted enterprise data
Neo4j’s world-leading graph tech and IndyKite’s intelligence and security platform provide the visibility, control, and confidence needed to support modern data and AI initiatives.
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Trust in data is foundational to trust in AI.
By combining Neo4j’s graph technology with IndyKite’s focus on trust, context, and control, enterprises gain the confidence to unify and secure how data is used across systems, teams, and AI initiatives.
👇
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IndyKite partners with Neo4j 🤝
We’re excited to announce that IndyKite has officially formalized its partnership with Neo4j.
Full press release 👇
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🌍 Your AI agents are smart. Make sure they’re safe.
Build trust by design.
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#IndyKite #DataTrust
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⚠️ Stop patching leaks after they happen.
Build trust into the data layer for AI agents.
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#AIbuilders #DataTrust
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🧠 Every agent request should ask: Am I allowed? Is this context safe?
Runtime trust decides.
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#DataTrust #IndyKite
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🔐 Autonomous AI shouldn’t see everything.
Enforce KBAC & AuthZen at runtime.
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#AIsecurity #RAGsecurity
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🤖 AI agents are powerful… but dangerous without boundaries.
Trust the data layer, not just the model.
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#IndyKite
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🌍 Your AI agent is powerful. Make sure it doesn’t become dangerous. Build trust by design.
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#IndyKite
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⚠️ Prevent accidental data leaks by computing trust at the data layer - not after the fact.
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#AIbuilders
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🧠 Every AI agent request should ask: Am I allowed? Do I have context? Runtime authorization answers that.
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#DataTrust #AuthZen
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Autonomy works best when it’s guided, accountable, and auditable.
With context, adaptable policies, and explainable decisions, AI becomes more than a tool - it becomes a trusted enterprise partner.
Learn more 👇
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🔐 Autonomous AI needs boundaries. KBAC ensures agents only see what they’re allowed to.
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#IndyKite #RAGsecurity
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🤖 Your AI agent just accessed data it shouldn’t have. Not a bug - a missing trust layer.
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#DataTrust #AIsecurity
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Curious about IndyKite?
The Developer Hub has everything you need to get started - step-by-step guides, real examples, and a playground to see what’s possible.
Start exploring 👇
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