Compare KYDE vs. Tangerin AI

KYDE serves as a behavioral firewall designed specifically for AI agents, ensuring they can be entrusted with significant responsibilities. By delineating prohibited actions, documenting completed tasks, and safeguarding your proprietary knowledge, KYDE enhances the reliability of AI agents. Positioned externally, KYDE operates in the request pathway between your agents and all LLM providers, systematically intercepting, scoping, and signing each action prior to execution. This external placement ensures it cannot be overridden by the agent itself, maintaining strict control. With no need for code alterations and only one environment variable required, KYDE is both provider-agnostic and ready for multi-cloud platforms, targeting a latency of under 100 milliseconds. It encompasses three essential functions within a single layer. The first is PROVE, which creates an audit trail that remains independent of any LLM provider; actions are signed using Ed25519, hash-linked, and recorded at the boundary, making them irretrievable by the agent. In this scenario, the perpetrator cannot fabricate their own account. The second function is RATE, which evaluates agent behavior across different providers on a unified scale known as the KYDE Trust Score™. While vendors assess their own performance, KYDE focuses on objectively grading agent behavior, creating a more transparent evaluation system. Finally, this comprehensive framework not only enhances accountability but also fosters an environment of trust in AI interactions.

Tangerin AI serves as a governance platform for artificial intelligence in Brazil, addressing a critical issue that many organizations struggle to resolve: identifying which AI tools—whether officially sanctioned or not, often referred to as Shadow AI—are employed within the organization, who is using them, the associated data risks, and the evidence required for auditing purposes. The data collection process can be accomplished in two distinct ways: through a lightweight endpoint agent compatible with Windows, macOS, and Linux, or through the agentless ingestion of existing logs from Next-Generation Firewalls (NGFW), Secure Service Edge (SSE), and Security Information and Event Management (SIEM) systems. Each signal collected is matched against a unique catalog containing over 6,000 AI tools, detailing aspects such as data risk, processing location, retention policies, and intended uses. Furthermore, every tool is categorized based on established policies as either permitted, restricted, or banned; employees are required to digitally acknowledge the AI usage policy, and the compliance module encompasses 24 different frameworks, including LGPD, ISO 42001, EU AI Act, GDPR, and ISO 27001, complete with automatic evidence crosswalks and views tailored for external auditors. In addition to tracking which AI tools are utilized, the platform logs the timing of usage and the specific workstation involved, while deliberately excluding any conversation content, prompts, or files from its records. This approach reflects a deliberate architectural choice rather than a mere configuration adjustment.