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shadowiq
Role · Head of AI, ML Platform

Ship faster by shipping safer. Not in spite of it.

Governance that blocks engineering is governance engineering routes around. ShadowIQ attaches to your pipeline: evals in CI, policies as code, observability with OTel, and the fastest gateway your latency budget has ever seen.

What this is

Summary

ShadowIQ for AI Platform Leaders integrates with ML deployment pipelines to enforce safety evaluations in CI, inline policy enforcement at the gateway, and OpenTelemetry observability — letting platform teams ship generative features faster with built-in guardrails.

How it fits · explainer

What a AI Platform Leader's dashboard actually looks like.

AI PLATFORM LEADERShadowIQ control planeDISCOVER · EVALUATE · ENFORCE · PROVEDiscovery88%Evaluation82%Enforcement96%Evidence100%AI PLATFORM LEADER OUTCOMESSAFE-DEPLOY VELOCITY74 msP99 GATEWAY LATENCY2,400+RED-TEAM PROMPTS · SHARED
Where it hurts

You've heard this one before.

  • Safety reviews that add weeks to every launch.
  • No shared evals catalog — every team reinvents red-teaming.
  • Prod incidents from prompt injection you can't reproduce in staging.
  • OpenTelemetry context dropped at the model boundary.
What we do about it

Three moves.

  1. 1
    Evals in CI, not a Slack thread.

    Starter packs + your datasets run on every PR. Block unsafe merges with rubric-pinned LLM-as-judge quorum and human spot-check.

  2. 2
    Policies as code, deployed like code.

    YAML or Rego, version-controlled, tested, and promoted via GitOps. Roll out per-tenant, per-environment, per-workload.

  3. 3
    Observability that survives the model boundary.

    OTel trace context end-to-end. Metrics in Prometheus + OTel. Gateway logs every redaction, every retry, every provider latency percentile.

Outcomes

Numbers, not adjectives.

safe-deploy velocity
74 ms
p99 gateway latency
2,400+
red-team prompts · shared
Frequently asked

Asked, answered, sourced.

Median 12ms, p99 under 75ms across 14 production workloads. Policies pre-compile to WASM and run in parallel; warm tenant pools keep tail latency tight under burst.

Yes. Upload a dataset and a rubric; it becomes a versioned eval you can schedule, share with other teams, and export. Your data stays in your tenant.

Yes. We trace long-horizon agents through their graph, red-team per-hop and end-to-end, and apply tool-use allowlists + runtime isolation for untrusted tool calls.

Yes. Self-hosted deployment ships as a signed container bundle with its own key material. Same binary, same policy bundle, same evidence format as our SaaS.

Ready to see the signet in motion?

Your 30-minute demo. A signed audit trail by the end of it.

We'll wire ShadowIQ into one live workload, block a prompt injection in real time, and hand you a cryptographic receipt — before the meeting ends.