November 6, 2024 4:00 PM
CET
How to improve the security, scalability and intelligence of your access control
Register
The IndyKite Platform
The Context Engine for data trust
IndyKite.ai is the context engine purpose built to deliver real-time trust, control, and explainability for applications and AI.
Try IndyKite
Indykite transforms signals into live enforcement context
This context is evaluated at the moment of use to determine who or what can access which data, under what conditions, and why.
Context computed, enforced, and auditable in real time.
Signals:
Identity
Metadata
Provenance
Policies
Move from
systems of record
to
systems of intelligence
In most enterprises, context exists but it’s scattered:
- Identity in IAM systems
- Data meaning and provenance live in catalogs and MDM
- Risk lives in security tools
- Policies live in code and documents
IndyKite.ai continuously answers:
- Who is the actor? (human, service, agent)
- What is being accessed or queried? (data, feature, capability)
- What is the context of the data and for the request?
- Is this data fit for purpose and trustworthy?
IndyKite unifies signals into a single operational context engine that every application and AI system can rely on
An identity-centric knowledge graph that models all
- Actors (humans, machines, AI agents)
- Data assets (tables, features, embeddings, APIs)
- Relationships (ownership, consent, delegation, usage)
- Contextual signals (time, location, purpose, trust, identity)
Where security, compliance, and innovation reinforce each other
Trust is operational, not advisory
Context is computed in real time, not preconfigured
Identity, data, and policy are modeled together, not integrated loosely
Controls apply to humans, machines, and AI equally
Operational trust enforced at the moment it matters
Data becomes instantly usable and governable
AI systems operate safely by design
Compliance is continuous and provable
Innovation is no longer constrained by security controls
Products
