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.
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.
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
| Dimension | Credo AI | Raidu |
|---|---|---|
| Category | AI GRC / governance platform | AI Accountability Layer (runtime) |
| Primary user | Governance, risk, compliance teams | Security engineers, auditors |
| Sees production traffic | No | Yes (every interaction) |
| Per interaction record | No | Yes, cryptographically signed |
| PII redaction at runtime | Indirect (policy describes it) | Direct (99.2% accuracy, 60+ entities) |
| Prompt injection detection | Out of scope | In scope, runtime |
| Tamper evident audit trail | Records edits at policy level | RSA-4096 signatures, SHA-256 chain, WORM |
| EU AI Act Article 12 logging | Documents the requirement | Produces the records |
| EU AI Act Article 17 QMS | Strong fit | Provides the operational evidence |
| Deploys in your VPC | Cloud platform | Cloud, Dedicated VPC, Self hosted, Air gapped |
| Latency added to AI calls | Zero (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
- What is an AI Accountability Layer?
- What is governance explainability?
- Raidu Trust Center for the regulator facing evidence the runtime produces.
Buyers ask, before they pick a side.
Is Raidu a Credo AI replacement? +
If I have Credo AI, why do I need Raidu? +
Does Credo AI offer runtime enforcement? +
Which one helps with the EU AI Act? +
Which one helps with HIPAA AI? +
How do customers run Credo AI and Raidu together? +
Raidu vs CalypsoAI
CalypsoAI tells you pass or fail. Raidu tells you what happened, why, and proves it. A firewall is a yes or no gate. An Accountability Layer …
Read →Raidu vs Fiddler AI
Fiddler AI tells you something went wrong. Raidu proves nothing went wrong, on every interaction. Observability is reactive (find drift …
Read →Raidu vs Holistic AI
Holistic AI audits quarterly. Raidu accounts every second. A periodic audit is a snapshot of policy and process. An Accountability Layer is …
Read →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.