LangProtect
LangProtect is an AI-native security and governance platform that protects LLM and Generative AI applications from prompt injection, jailbreaks, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI, it enforces real-time runtime controls at the AI execution layer by inspecting prompts, model responses, and tool/function calls as they happen. This allows teams to block high-risk behavior before it reaches end users, triggers downstream actions, or exposes confidential data.
LangProtect integrates into existing LLM stacks via an API-first approach with minimal latency and supports cloud, hybrid, and on-prem deployments for enterprise security and data residency needs. It also secures modern architectures such as RAG pipelines and agentic workflows with policy-driven enforcement, continuous visibility, and audit-ready governance.
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Alice
Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence.
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Proofpoint AI Security
Proofpoint AI Security is a unified platform designed to help enterprises govern, monitor, and protect the use of AI systems, large language models, and autonomous agents across the organization. It provides visibility into both sanctioned and unsanctioned AI usage, enabling security teams to discover shadow AI tools, observe prompts and responses, and understand how AI interacts with sensitive data in real time. It applies intent-based detection and behavioral analysis to identify anomalies, prompt injection attempts, and risky interactions, while enforcing policies directly during runtime to prevent data leakage and misuse. It reconstructs full AI transactions, from user input to agent actions and outcomes, giving organizations complete traceability and audit readiness. With controls that extend across endpoints, browsers, and AI agent connections, it enables granular access governance and ensures that AI systems only access and share appropriate information.
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Straiker
Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows.
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