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Kavach journal

Ideas for systems that make decisions.

Notes on the architecture, protocols and operating principles behind trustworthy AI systems.

AI governanceArchitectureOpen source

Featured writing

From the control plane

01 / 04
Governance

Replay is not retry: one word that changes the integrity of the evidence

A retry asks whether work eventually finished. A replay asks whether a governed system can reproduce and defend a historical decision.

July 18, 2026·9 min read

Build with clear boundaries

Kavach separates governance state from runtime execution, making policy and evidence easier to reason about.

Protocols are interfaces

The right transport depends on who—or what—needs to consume the capability.

Operations

The incident report is not evidence

When an AI decision matters, logs and dashboards are not enough. The system must preserve the evidence required to reconstruct the decision itself.

July 18, 2026·8 min read
Architecture

The hard scaling problem in AI is deciding what to remember

Millions of historical executions do not call for a bigger dropdown. They call for a clear boundary between search projections and authoritative evidence.

July 18, 2026·7 min read
Architecture

MCPO vs Streamable HTTP: choosing the right interface for Kavach

MCP transports and REST adapters solve different integration problems. Here is how to choose between them—and why Kavach can support both.

July 16, 2026·8 min read
KAVACHKAVACH

AI Governance and Experiment Management Platform. It provides execution audit, workflow replay, evaluation, decision drift analysis, and governance controls for AI systems.

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KAVACH — AI Governance and Control Plane

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