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Comparison

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 is the gate plus the audit trail a regulator can inspect.

CalypsoAI: AI Firewall / pass-fail prompt scanning Raidu: AI Accountability Layer
CalypsoAI

What it is

An AI firewall that scans prompts and responses against threat models (prompt injection, jailbreaks, sensitive content). The output is a binary decision (allow or block) at the network or proxy edge. Acquired by F5 in 2025; positioning has emphasized network security packaging since.

Raidu

What it is

The AI Accountability Layer. Raidu intercepts the same traffic, runs five governance checkpoints (User Input, Before LLM, Before Tool, After Tool, Agent Response), and produces a per interaction signed record containing the policy version, the redactions applied, the model invoked, the user identity, and a cryptographic chain hash. Decision plus auditable evidence.

How an AI firewall differs from an AI Accountability Layer

An AI firewall is a decision system. Its job is to return a single answer (allow, block, redact) on a prompt or response, fast. The output is a control action.

An AI Accountability Layer is a decision system plus an evidence system. The decision is the same kind of answer. The evidence is a cryptographically signed record explaining the decision and locking it into a tamper evident chain. The output is a control action plus an auditable artifact.

The two are not the same shape. A regulator does not ask “did your firewall return block?”. The regulator asks “show me the record that proves your governance ran on this interaction.” The firewall log entry is not the record.

Side by side

DimensionCalypsoAIRaidu
CategoryAI Firewall (pass / fail)AI Accountability Layer (runtime + evidence)
Primary outputAllow or block decisionAllow / block / redact / rewrite plus signed record
Per interaction tamper evident recordStandard logsRSA-4096 per record, SHA-256 chained, WORM stored
Decision explainabilityRule names in logsPolicy version, rule id, entity offsets, in the record
Prompt injection detectionYesYes
PII redaction at runtimeYesYes (99.2% accuracy, 60+ entity types)
Tool and connector scopeLimitedPer call enforcement
Agent traffic checkpointsPrompt and responseFive checkpoints across agent loops
Regulator readable trailRequires custom exportBuilt in
DeploymentNetwork proxyCloud, Dedicated VPC, Self hosted, Air gapped
Owner since 2025F5Independent

When a firewall is enough, and when it is not

A firewall is enough when the obligation is operational hygiene: stop prompt injection, redact obvious PII, log the decisions for incident review. The buyer is the security engineer.

A firewall is not enough when the obligation is regulator readable evidence: prove what happened on a specific interaction, replay the policy that ran, verify the audit chain has not been tampered with. The buyer is the CISO, CCO, or auditor.

The EU AI Act, HIPAA, SR 11-7, and ISO/IEC 42001 are all in the second category. They require artifacts, not just gating.

The architectural difference, in one sentence

A firewall optimizes for a fast yes or no on the wire. An Accountability Layer optimizes for a fast yes or no on the wire plus a slow audit walk weeks later, on a record the firewall did not produce.

Where to read more

Common questions

Buyers ask, before they pick a side.

Is Raidu an AI firewall? +
Raidu does what an AI firewall does (block prompt injection, redact PII, enforce model and connector scope) and adds the layer that firewalls do not: a cryptographically signed record per interaction. If the requirement is yes or no decisions at the perimeter, an AI firewall is enough. If the requirement is auditable evidence for a regulator, the firewall is necessary but not sufficient.
What does CalypsoAI miss that Raidu provides? +
Three things. Per interaction tamper evident audit trail (CalypsoAI logs decisions but not as cryptographically signed, hash chained, WORM stored records). Decision explainability at the rule level (which policy ran, which entities were redacted, by offset and entity type). Connector and tool scope enforcement for agent traffic, not just prompts and responses.
If CalypsoAI is now part of F5, does that change the comparison? +
F5's strength is network and application security infrastructure. The comparison still holds at the function level: pass or fail gating versus runtime governance with cryptographic evidence. F5 may extend CalypsoAI's distribution and integrations, but the architectural difference between a firewall decision and an accountability record is intrinsic.
Which one helps with the EU AI Act? +
Raidu satisfies Article 12 (automatic logging of high risk system events) and Article 13 (transparency to deployers) directly through the per interaction signed record. CalypsoAI's logs are useful operational telemetry but are not designed as Article 12 records. The Article specifies tamper evidence and traceability, not generic event logs.
Can I use both? +
Some enterprises run CalypsoAI at the network edge and Raidu inside the application boundary. The two do overlap on prompt injection detection and PII redaction, so most buyers consolidate. If you have already deployed CalypsoAI, Raidu can be deployed without removing it; the signed record will reference whichever decision system handled the interaction.
Latency comparison? +
Both target sub 100 ms overhead. Raidu measures under 100 ms per checkpoint at p95 on n2-standard-4 in GCP us-east1. CalypsoAI publishes similar figures. For agent traffic with multiple checkpoints, the relevant comparison is the total path latency, which depends on whether checkpoints run in parallel or sequence.
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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?