CalypsoAI is a unified AI inference security platform designed to protect enterprise GenAI systems across their full lifecycle — from use case selection and model evaluation through production deployment. The platform addresses the most pressing challenges facing security and AI teams: adversarial attacks, data leakage, harmful model outputs, and regulatory compliance. Built around an Inference Perimeter concept, CalypsoAI acts as a centralized security layer that is model-agnostic, vendor-agnostic, and API-first.
The platform consists of three core products. Inference Red-Team provides proactive, agentic red-teaming capabilities that simulate adversarial attacks such as prompt injection and jailbreaks at scale, using an extensive attack prompt database and delivering explainable results through Agentic Fingerprints. Inference Defend delivers real-time adaptive protection against evolving AI threats, enforcing custom security policies, preventing data loss, moderating harmful outputs, and integrating with SIEM and SOAR systems. Inference Observe provides centralized oversight and full traceability across every AI interaction, supporting audit readiness and continuous compliance monitoring.
CalypsoAI is designed for enterprise environments and supports on-premises and SaaS deployment, role-based access control, SSO, data retention policies, scalable low-latency operation, and robust API access. The platform aligns with major security frameworks and compliance standards including SOC 2, OWASP Top 10 for LLMs, MITRE ATLAS, EU AI Act, and NIST. Organizations can use CalypsoAI's Security Leaderboards to evaluate and compare the resilience of leading GenAI models before deployment.
- Proactively red-team AI models to uncover prompt injection and jailbreak vulnerabilities before deployment
- Enforce real-time security policies to prevent unauthorized data exposure in AI applications
- Monitor and audit all AI interactions for compliance with GDPR, HIPAA, and EU AI Act requirements
- Detect and block adversarial attacks against deployed AI agents and autonomous workflows
- Evaluate GenAI model resilience using security leaderboards before production model selection
- Moderate harmful, toxic, or biased outputs from AI models in enterprise applications
- Integrate AI security controls with existing SIEM and SOAR systems for automated threat response
- Protect sensitive data from leakage across multi-model and multi-vendor AI deployments
- Enable security teams to create and deploy custom guardrail scanners for specific organizational use cases
- Continuously test AI applications through the full SDLC from pilot to production release
- Provide security and compliance teams with explainable, audit-ready AI red-teaming reports
- Support secure agentic AI adoption by controlling model privileges and data access policies

