CalypsoAI
What is CalypsoAI?
CalypsoAI is an AI security platform for security, AI platform, compliance, and MLOps teams that tests, monitors, and constrains models, apps, and agents before production. It combines Combat adversarial attacks, Secure AI data, Govern responsible AI usage, Simplify AI observability, AI risk assessment, and low-latency runtime security. The platform is model-agnostic and supports distributed data protection and insights into actions.
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At a glance
- CalypsoAI is best for security teams who need to test and control AI behavior before production.
What does CalypsoAI do?
CalypsoAI runs AI security controls around models, apps, and agents so teams can test, monitor, and constrain behavior before it reaches production. Its workflow combines adversarial testing, runtime protection, and governance controls to catch risky prompts, reduce harmful outputs, and surface AI risk in a way security and compliance teams can act on. The platform also shows observability and "insights into actions," turning model activity into operational decisions rather than passive logs. At scale, CalypsoAI cites 17,733 adversarial test cases, which points to a broad testing surface for red-teaming and validation. The product is model-agnostic, so it can sit across different AI stacks instead of tying buyers to one model family. It also supports distributed data protection and low-latency runtime security, which suggests it is designed to protect live AI usage without slowing interactions. The site positions the platform for production use across AI models, apps, and agents, with governance and compliance controls layered into the same security workflow.
Why use CalypsoAI?
- Its model-agnostic design lets teams apply one security layer across different AI systems instead of rebuilding controls per model.
- Low-latency runtime security helps protect live AI interactions without turning every request into a slow inspection step.
- Distributed data protection supports security across AI apps and agents that may not live in one central environment.
- The platform combines testing, governance, and observability so teams can move from finding risk to acting on it in one workflow.
- A large adversarial test corpus signals a serious red-teaming posture for buyers validating AI behavior before release.
Who is CalypsoAI for?
- Security leaders who need runtime controls for AI models, apps, and agents.
- AI platform teams who want observability and governance across multiple model stacks.
- Compliance teams who need clearer controls and auditability around AI usage.
- MLOps teams who need low-latency protection without disrupting live AI workflows.
What are CalypsoAI's key features?
Combat adversarial attacks
Runs 17,733 adversarial test cases to probe AI models and agents for jailbreaks, prompt injection, and other attack paths before deployment.
Secure AI data
Protects prompts, inputs, and outputs across AI models and apps, helping teams keep sensitive data from leaking into model interactions.
Govern responsible AI usage
Applies policy controls for AI models, apps, and agents so teams can define acceptable use and reduce risky behavior across deployments.
Simplify AI observability
Provides visibility into AI model, app, and agent activity, helping teams trace behavior and spot issues faster during development and production.
AI risk assessment
Evaluates AI systems for security and governance risks using 17,733 adversarial test cases, giving buyers a clearer view of exposure before release.
Distributed data protection
Extends data protection across AI models, apps, and agents, so controls follow workloads wherever they run instead of staying in one place.
Simplified compliance
Supports governance and compliance workflows for AI systems, helping teams document controls and align usage with internal and external requirements.
Insights into actions
Turns AI activity signals into actionable findings, helping security teams move from monitoring to response across models, apps, and agents.
What are CalypsoAI's use cases?
Security leaders runtime control
Security leaders use CalypsoAI to put runtime controls around AI models, apps, and agents, using Low-latency runtime security to block risky prompts and outputs without slowing production. They can also use Combat adversarial attacks to reduce exposure to prompt injection and other abuse patterns.
AI platform observability
AI platform teams use CalypsoAI to monitor multiple model stacks in one place, using Simplify AI observability to see how systems behave across deployments. With Insights into actions, they can trace what happened during an interaction and tighten governance across changing workflows.
Compliance audit readiness
Compliance teams use CalypsoAI to document and control AI usage, using Simplified compliance to create clearer audit trails around model activity. They can pair it with Govern responsible AI usage to show how policies are enforced across AI tools and agents.
MLOps protection in production
MLOps teams use CalypsoAI to protect live AI workflows without adding noticeable delay, using Low-latency runtime security to keep applications responsive. Model-agnostic functionality helps them apply the same protection across different stacks as deployments evolve.
How does CalypsoAI work?
- Connect your first AI model, app, or agent to CalypsoAI and turn on Low-latency runtime security so requests are inspected before they reach production workflows.
- Define the policies you want enforced, then use Govern responsible AI usage and Reduce harmful outputs to shape what the system should allow, block, or flag.
- Review activity in Simplify AI observability and Insights into actions to see how prompts, responses, and decisions move through each workflow.
- Run AI risk assessment and Combat adversarial attacks to test exposed paths, then adjust controls based on the findings.
- Expand coverage with Model-agnostic functionality and Distributed data protection so the same governance applies across model stacks and sensitive data flows.
Frequently asked questions
What is CalypsoAI?
CalypsoAI is an AI security platform for security, AI platform, compliance, and MLOps teams that tests, monitors, and constrains models, apps, and agents before production. It combines Combat adversarial attacks, Secure AI data, Govern responsible AI usage, Simplify AI observability, and low-latency runtime security. The platform is model-agnostic and supports distributed data protection and insights into actions.
What is CalypsoAI used for? Who is it for?
CalypsoAI is used for Combat adversarial attacks, Secure AI data, and Govern responsible AI usage. It's built for Security leaders, AI platform teams, and Compliance teams.
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