AI Launch Profile
Kastra runtime authorization for AI agents
Kastra applies policies to tools, prompts, inputs, and outputs across several agent environments. Its product pages describe local enforcement, centralized policy management, audit trails, and integrations spanning coding agents and model SDKs. The design goal is to reject an unauthorized action before the underlying tool receives it.
At a glance
Launch Snapshot
- Company
- Kastra
- Launch date
- July 23, 2026
- Launch type
- New Product
- Category
- AI Developer Tools, AI Security Tools
- Audience
- Developers, Enterprises
- Pricing
- Kastra’s official pricing page says users can start free and scale to team or enterprise tiers. A stable public numeric price table was not visible in the checked source.
- Free plan
- Yes
- API
- Yes
- Open weights/source
- Not publicly confirmed
Launch Context
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Verification & Sources
- Evidence state
- Recheck due
- Source links
- 3
- Freshness
- Needs recheck: checked July 25, 2026
- Last updated
- July 25, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Creator Coverage Next Steps
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Kingy AI Take
Kastra addresses a concrete need: As agents gain access to files, credentials, and operational systems, authorization must happen at action time. The main limitation is this: The sub-millisecond decision claim comes from Kastra and was not independently benchmarked.
Who it is for
AI Platform Teams, AI Engineers, Developers, Enterprises
What feels promising
As agents gain access to files, credentials, and operational systems, authorization must happen at action time. Kastra aims to supply that enforcement layer independently of the agent or model.
What feels unproven
The sub-millisecond decision claim comes from Kastra and was not independently benchmarked. Teams should test policy coverage, bypass resistance, offline behavior, logging, and failure modes before treating the layer as a complete security boundary.
Source list
Sources
Related Kingy Links
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