Directory AI & ML PlatformsAI Governance & SafetyCalypsoAI (now F5)

CalypsoAI (now F5)

About CalypsoAI (now F5)

CalypsoAI's product secures AI models and agents against malicious threats, prompt injection, data leakage, and harmful outputs. It enforces policy consistently across public and proprietary AI models. It applies guardrails to AI agent actions and tool use. It provides logging and dashboards for monitoring enforcement actions.

Products

F5 AI Guardrails: Secures AI models, apps, and agents through data security, threat management, and governance.

Used for

Protecting against prompt injection attacks, data exfiltration, and jailbreak attacks
Creating custom policy-driven AI security guardrails through a natural-language interface
Applying compliance controls for PII leakage, EU AI Act alignment, PCI, and PHI protection
Moderating generative AI content for biased, toxic, or harmful outputs
Observing and logging system prompts, instructions, model reasoning, and tool calls

Who it is for

Used in financial services for securing enterprise AI.
Used by a global bank to maintain AI security at scale.

From CalypsoAI (now F5)'s own website, read 2026-10-23. How we build listings.

How to evaluate AI Governance & Safety

This is how the CIOPages Research Team evaluates this category. It is not an assessment of CalypsoAI (now F5). It comes from our AI Governance & Responsible AI buyer guide.

25%

AI Inventory & Lifecycle Governance

Automated discovery and a registry of every model, LLM/prompt, agent, and embedded-AI feature (including shadow and third-party AI); risk tiering by use case; intake-to-retirement workflow with approvals, deployment gates, and named owners; versioning and change control

25%

Regulatory Mapping & Compliance Evidence

Out-of-the-box, maintained policy packs for the EU AI Act, NIST AI RMF, ISO 42001, SR 11-7, and sector rules (e.g. NYC LL144); control mapping and gap analysis; one underlying assessment that satisfies many frameworks; audit-ready, exportable evidence and model cards

20%

Model Monitoring & Explainability

Production monitoring for drift, performance decay, and data quality; bias and fairness testing across protected groups; explainability (e.g. SHAP / feature attribution) for tabular and NLP models; the depth of this domain is what separates observability tools from pure GRC

15%

GenAI & Agentic Oversight

LLM evaluation and guardrails (hallucination, toxicity, PII leakage, prompt-injection and jailbreak defense); agent discovery, runtime policy enforcement, and a logged trail of agent actions and the authority behind them; red-teaming and continuous evaluation of agent traces

10%

Integration & ML-Stack Fit

Connectors to your model platforms (SageMaker, Vertex AI, Databricks, Dataiku, MLflow, Bedrock), CI/CD and registries; API and policy-as-code coverage; identity (SSO/RBAC); fit with existing GRC and data-security tooling rather than yet another silo

Human-in-the-Loop & Accountability

Cross-functional workflows that reach risk, legal, and business owners (not just data scientists); reviewer sign-off and attestations; issue and exception tracking; reporting that a board or regulator can read, with a defensible audit trail

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Quick Facts

calypsoai.com

CategoryAI & ML Platforms

SubcategoryAI Governance & Safety

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