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Comparison

Raidu vs Credo AI

Credo AI writes the policy. Raidu proves you followed it. Credo lives in the policy library and risk register; Raidu lives on the production traffic and the signed audit trail. Most regulated enterprises end up needing both.

Credo AI: AI Governance Platform / AI GRC Raidu: AI Accountability Layer
Credo AI

What it is

An AI governance platform built around policy authoring, risk registers, and model documentation. Credo AI helps governance, risk, and compliance teams catalog AI use cases, assign risk tiers, document model cards, and align programs to NIST AI RMF and the EU AI Act. The output is a structured governance program, not production enforcement.

Raidu

What it is

The AI Accountability Layer. Raidu sits between the application and the model, intercepts every AI interaction, enforces policy at runtime (PII redaction, model and connector scope, prompt injection detection), and produces a cryptographically signed record of what happened. The output is per interaction evidence.

How Credo AI and Raidu differ in practice

Credo AI is built around the program. The unit of work is a policy, a model card, a risk tier, an attestation. The user is a governance, risk, or compliance lead managing a portfolio of AI use cases.

Raidu is built around the interaction. The unit of work is a single AI call (prompt to model, tool call, agent response) and the signed record produced for it. The user is the security engineer wiring traffic to flow through Raidu and the auditor reading the records.

The two operate at different altitudes. Confusing them is the most expensive mistake an AI buyer makes in 2026.

Side by side

DimensionCredo AIRaidu
CategoryAI GRC / governance platformAI Accountability Layer (runtime)
Primary userGovernance, risk, compliance teamsSecurity engineers, auditors
Sees production trafficNoYes (every interaction)
Per interaction recordNoYes, cryptographically signed
PII redaction at runtimeIndirect (policy describes it)Direct (99.2% accuracy, 60+ entities)
Prompt injection detectionOut of scopeIn scope, runtime
Tamper evident audit trailRecords edits at policy levelRSA-4096 signatures, SHA-256 chain, WORM
EU AI Act Article 12 loggingDocuments the requirementProduces the records
EU AI Act Article 17 QMSStrong fitProvides the operational evidence
Deploys in your VPCCloud platformCloud, Dedicated VPC, Self hosted, Air gapped
Latency added to AI callsZero (out of band)Under 100 ms per checkpoint at p95

When to pick which

Pick Credo AI alone when your obligation is to run an AI governance program: catalog AI use cases, assign risk tiers, write model cards, prepare for an audit. The buyer is a CCO or AI ethics lead and the deliverable is a documented program.

Pick Raidu alone when your obligation is operational evidence: a regulator, customer, or board has asked “show me what your AI is doing right now and prove it is governed.” The buyer is a CISO or CTO and the deliverable is a signed record per interaction.

Pick both when you are subject to the EU AI Act, HIPAA, SR 11-7, ISO/IEC 42001, or NIST AI RMF and you intend to defend the program with operational evidence rather than policy documentation.

What changes when Raidu is added next to Credo AI

Three things shift on the day Raidu is wired in.

  • Policy becomes auditable. Every interaction now references a specific policy version by content hash. Auditors can verify which policy ran on any given call by reproducing the hash from the Credo AI policy library.
  • Risk tier inherits a record. A Tier 1 use case in Credo AI now generates a signed record per interaction in Raidu, with the tier carried in the record. The audit walk becomes “show me a Tier 1 record from last Tuesday at 2pm” rather than “tell me about your Tier 1 program.”
  • Incident response gains evidence. When something goes wrong (a leak, a bad output, a regulator inquiry), the Raidu record set is the artifact. Credo AI’s incident workflow ingests it.

The combination is stronger than either alone. The choice between them as substitutes is usually a sign of an unfinished governance program.

Where to read more

Common questions

Buyers ask, before they pick a side.

Is Raidu a Credo AI replacement? +
Usually not. Credo AI is the program of record (policies, model cards, risk register). Raidu is the runtime that enforces those policies on production traffic and proves the enforcement happened. A regulated enterprise typically needs both, and many of our customers run Credo AI alongside Raidu.
If I have Credo AI, why do I need Raidu? +
Because a regulator's question is not 'do you have a policy?'. The question is 'did the policy actually run on this interaction?'. Credo manages the policy. Raidu is what makes the policy auditable on every production call. Without runtime enforcement, the policy is documentation, not control.
Does Credo AI offer runtime enforcement? +
Credo AI's product surface centers on policy management, risk assessment, and reporting. It is not a traffic interception layer for live AI calls. Some integrations exist for evidence collection from connected tools, but the per interaction enforcement and cryptographic audit trail are not the product.
Which one helps with the EU AI Act? +
Both, at different points. Credo AI helps with Article 17 (quality management system) and Article 9 (risk management system) at the program level. Raidu satisfies Article 12 (automatic logging of high risk system events) and Article 13 (transparency to deployers) at the runtime level. Article 12 specifically requires per event records; that is a runtime layer requirement.
Which one helps with HIPAA AI? +
Raidu directly. The HIPAA AI rule expected May 2026 inherits the Security Rule's audit trail and access control requirements, applied to the AI surface. Raidu produces per interaction signed records covering both. Credo AI helps document the program around the controls but is not the technical control itself.
How do customers run Credo AI and Raidu together? +
Credo AI defines policy, classifies risk tiers, and tracks the AI use case inventory. Raidu enforces the policy on every interaction and writes the evidence. Periodic Credo AI reviews ingest the signed records from Raidu as the operational evidence backing the policy.
See it in production

Decide on the proof, not the pitch.

Bring a use case. We will show you the runtime, the signed record, and what a regulator readable trail looks like for your AI stack. Thirty minutes.

Book a demo → What is an Accountability Layer?