Best AI Governance Tools for Microsoft Copilot

iDox.ai Guardrail serves as an immediate security measure for AI applications, designed to safeguard sensitive information from being exposed during generative AI tasks. This innovative solution functions at the endpoint, intercepting user prompts, uploaded files, and any AI interactions prior to data transmission from the device. Guardrail employs policy-driven mechanisms to identify and prevent the leakage of sensitive information, including personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and other confidential business data. In contrast to conventional data loss prevention (DLP) systems, Guardrail is tailored specifically for AI applications. It continuously observes user engagement with AI platforms like ChatGPT, Microsoft Copilot, and Claude, applying protective measures in real-time to ensure security. Among its key features are: - Continuous monitoring of prompts and file submissions - Detection of sensitive data with AI awareness - Real-time anonymization and sanitization processes - Defense against risks associated with AI agents, such as unauthorized file access incidents (e.g., OpenClaw) - Implementation of website whitelisting and strict policy enforcement. Additionally, Guardrail enhances user confidence in utilizing AI technologies while ensuring compliance with data privacy regulations.

Tenable One AI Exposure is a robust, agentless solution integrated into the Tenable One exposure management platform, designed to enhance visibility, context, and control over the utilization of generative AI tools such as ChatGPT Enterprise and Microsoft Copilot. This tool empowers organizations to track user engagement with AI technologies, providing insights into who is accessing them, the nature of the data involved, and the execution of workflows, while identifying and addressing potential risks like misconfigurations, insecure integrations, and the leakage of sensitive information, including personally identifiable information (PII), payment card information (PCI), and proprietary business data. Furthermore, it protects against threats like prompt injections, jailbreak attempts, and policy breaches by implementing security measures that do not interfere with daily operations. Compatible with leading AI platforms and ready for deployment in just minutes with zero downtime, Tenable AI Exposure facilitates the governance of AI use, making it an essential component of an organization's overall cyber risk management strategy, ultimately ensuring safer and more compliant AI operations. By integrating these security protocols, organizations can foster a culture of responsible AI usage while mitigating potential vulnerabilities.

The AGAT Secure AI Platform is an AI solution that prioritizes security, offering robust generative AI features tailored for enterprise needs while maintaining strict data protection and governance standards. It can be deployed in various settings, including on-premises environments that are completely isolated, or through cloud services, facilitating scenarios where data exposure is minimized and enabling comprehensive control for enterprises. This platform includes two key components: an AI Suite and an AI Firewall. The AI Suite provides a private AI ecosystem featuring various modules, such as a knowledge assistant that retrieves answers from internal data, a data-analysis agent that performs natural language analytics on spreadsheets and databases, a smart search tool for meaning-based content discovery, an AI code assistant for code completion, generation, and error detection, as well as AI agents capable of planning and executing tasks through file modifications and internet searches. Meanwhile, the AI Firewall functions as a real-time proxy for public AI services, implementing risk-based policies and additional security measures, thus ensuring that organizations can leverage AI safely while adhering to their governance frameworks. Overall, AGAT Secure AI Platform stands out for its commitment to security without sacrificing the innovative capabilities of generative AI.

Acuvity stands out as the most all-encompassing AI security and governance platform tailored for both your workforce and applications. By employing DevSecOps, AI security can be integrated without necessitating code alterations, allowing developers to concentrate on advancing AI innovations. The incorporation of pluggable AI security ensures a thorough coverage, eliminating the reliance on outdated libraries or insufficient protection. Moreover, it helps in optimizing expenses by effectively utilizing GPUs exclusively for LLM models. With Acuvity, you gain complete visibility into all GenAI models, applications, plugins, and services that your teams are actively using and investigating. It provides detailed observability into all GenAI interactions through extensive logging and maintains an audit trail of inputs and outputs. As enterprises increasingly adopt AI, it becomes crucial to implement a tailored security framework capable of addressing novel AI risk vectors while adhering to forthcoming AI regulations. This approach empowers employees to harness AI capabilities with confidence, minimizing the risk of exposing sensitive information. Additionally, the legal department seeks assurance that there are no copyright or regulatory complications associated with AI-generated content usage, further enhancing the framework's integrity. Ultimately, Acuvity fosters a secure environment for innovation while ensuring compliance and safeguarding valuable assets.

Darktrace / SECURE AI offers a comprehensive AI security solution that consolidates all AI interactions within an organization into a unified perspective, enabling teams to grasp intentions, evaluate risks, safeguard sensitive information, and ensure compliance with policies. It provides real-time monitoring of prompts, sessions, and responses across various enterprise GenAI tools like Microsoft Copilot and ChatGPT Enterprise, as well as low-code environments such as Microsoft Copilot Studio, high-code platforms like Amazon Bedrock and SageMaker, SaaS applications, and secure access service edge (SASE). Utilizing behavioral analytics, it effectively differentiates between routine business activities and notable or hazardous anomalies, thereby identifying conversational prompt attacks, harmful chaining, and other unsafe actions without solely depending on historical attack patterns. Darktrace's unique ability to learn directly from the environment it secures enables it to recognize new and AI-related threats upon their initial occurrence. This adaptive learning capability enhances its effectiveness in proactively addressing emerging security challenges within an increasingly complex technological landscape.