Preamble
Preamble's AI Safety and Security Platform is an integrated solution designed to streamline and enhance the management of AI systems within an organization. It offers a centralized hub for managing people, overseeing diverse data labeling projects, providing clear guidelines for consistent data labeling, and tracking all labels and datasets.
The platform also facilitates the evaluating of custom models and serves as a comprehensive center for AI safety and security testing and policy deployment. From real-time engagement with AI models to rigorous policy testing, the platform combines these multifaceted components to ensure alignment with organizational values, ethical principles, and compliance standards. Whether it's managing individual roles, conducting adversarial testing, or deploying safety controls, Preamble's platform offers a cohesive and user-friendly environment that addresses the complex and evolving needs of AI safety and security.
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Protecto
While enterprise data is exploding and scattered across various systems, oversight of driving privacy, data security, and governance has become very challenging. As a result, businesses hold significant risks in the form of data breaches, privacy lawsuits, and penalties. Finding data privacy risks in an enterprise is a complex, and time-consuming effort that takes months involving a team of data engineers. Data breaches and privacy laws are requiring companies to have a better grip on which users have access to the data, and how the data is used. But enterprise data is complex, so even if a team of engineers works for months, they will have a tough time isolating data privacy risks or quickly finding ways to reduce them.
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Cisco AI Defense
Cisco AI Defense is a comprehensive security solution designed to enable enterprises to safely develop, deploy, and utilize AI applications. It addresses critical security challenges such as shadow AI—unauthorized use of third-party generative AI apps—and application security by providing full visibility into AI assets and enforcing controls to prevent data leakage and mitigate threats. Key components include AI Access, which offers control over third-party AI applications; AI Model and Application Validation, which conducts automated vulnerability assessments; AI Runtime Protection, which implements real-time guardrails against adversarial attacks; and AI Cloud Visibility, which inventories AI models and data sources across distributed environments. Leveraging Cisco's network-layer visibility and continuous threat intelligence updates, AI Defense ensures robust protection against evolving AI-related risks.
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Enkrypt AI
Enkrypt AI is an enterprise AI security, compliance, and governance platform purpose-built to secure LLMs, AI agents, multimodal systems, and MCP workflows. Serving enterprises in finance, healthcare, insurance, and government, Enkrypt AI helps organizations ship fast, ship safe, and stay ahead.
The platform covers the full AI security lifecycle:
Guardrails: Ultra-low latency (sub-50ms) policy-based guardrails prevent prompt injection, sensitive data exposure, unsafe outputs, and non-compliant agent behavior in real time.
Red Teaming: Policy-driven, multimodal attack simulation across LLMs and AI agents before deployment.
MCP Security: MCP Scan Hub and Secure MCP Gateway protect MCP servers, tools, and agent toolchains end-to-end.
Compliance: Continuous monitoring against NIST AI RMF, OWASP LLM Top 10, EU AI Act, HIPAA, and FINRA. ISO 27001 & SOC 2 Type II certified. Gartner Cool Vendor 2025.
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