
Oct 23, 2026
IN /
iHarness
1 min read
iHarness: an on-premises harness for governed AI in software development
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.

IOTA Labs Team
Data & AI Practice
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.
iHarness runs inside your network between the AI tools your developers already use and the models or AI gateway you already operate. It speaks the OpenAI and Anthropic APIs those tools expect, so adoption is a base URL and a key — not new software. Per-user keys carry roles, expiry and instant revocation; secrets are masked before a prompt leaves; tool calls are checked against protected paths, destructive-command rules and, optionally, your own OPA policies.
It performs no inference and never calls home: a signed offline licence per tenant, a docker compose pilot in about a week, Kubernetes or OpenShift for production, and a signed offline bundle for air-gapped networks. Audit events flow to Splunk, Elastic, OpenTelemetry, Dynatrace or Sentry.

Oct 23, 2026
IN /
iHarness
1 min read
iHarness: an on-premises harness for governed AI in software development
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.

IOTA Labs Team
Data & AI Practice
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.
iHarness runs inside your network between the AI tools your developers already use and the models or AI gateway you already operate. It speaks the OpenAI and Anthropic APIs those tools expect, so adoption is a base URL and a key — not new software. Per-user keys carry roles, expiry and instant revocation; secrets are masked before a prompt leaves; tool calls are checked against protected paths, destructive-command rules and, optionally, your own OPA policies.
It performs no inference and never calls home: a signed offline licence per tenant, a docker compose pilot in about a week, Kubernetes or OpenShift for production, and a signed offline bundle for air-gapped networks. Audit events flow to Splunk, Elastic, OpenTelemetry, Dynatrace or Sentry.

Oct 23, 2026
IN /
iHarness
1 min read
iHarness: an on-premises harness for governed AI in software development
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.

IOTA Labs Team
Data & AI Practice
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.
iHarness runs inside your network between the AI tools your developers already use and the models or AI gateway you already operate. It speaks the OpenAI and Anthropic APIs those tools expect, so adoption is a base URL and a key — not new software. Per-user keys carry roles, expiry and instant revocation; secrets are masked before a prompt leaves; tool calls are checked against protected paths, destructive-command rules and, optionally, your own OPA policies.
It performs no inference and never calls home: a signed offline licence per tenant, a docker compose pilot in about a week, Kubernetes or OpenShift for production, and a signed offline bundle for air-gapped networks. Audit events flow to Splunk, Elastic, OpenTelemetry, Dynatrace or Sentry.

Oct 23, 2026
IN /
iHarness
1 min read
iHarness: an on-premises harness for governed AI in software development
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.

IOTA Labs Team
Data & AI Practice
One container between your developers’ AI tools and your models — access rules, secret masking, guarded tool calls and repaired output, with every step audited and no calls home.
iHarness runs inside your network between the AI tools your developers already use and the models or AI gateway you already operate. It speaks the OpenAI and Anthropic APIs those tools expect, so adoption is a base URL and a key — not new software. Per-user keys carry roles, expiry and instant revocation; secrets are masked before a prompt leaves; tool calls are checked against protected paths, destructive-command rules and, optionally, your own OPA policies.
It performs no inference and never calls home: a signed offline licence per tenant, a docker compose pilot in about a week, Kubernetes or OpenShift for production, and a signed offline bundle for air-gapped networks. Audit events flow to Splunk, Elastic, OpenTelemetry, Dynatrace or Sentry.
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Notes on AI systems, architecture decisions,
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