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👇
https://t.co/ZSmdIUBTHZ
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.
https://t.co/f1tpNxNkpW
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.
https://t.co/EC9t0FXFjb
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.
👇
https://t.co/pwBPhvzsXJ
IndyKite partners with Neo4j 🤝
We’re excited to announce that IndyKite has officially formalized its partnership with Neo4j.
Full press release 👇
https://t.co/hBB3kGu7c2
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 👇
https://t.co/WAyUshhlsu
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 👇
https://t.co/Td9EYG5Zk0