Arexdata vs Aurascape

About Aurascape

Aurascape secures employee AI use, helps teams build agents safely, and protects AI agents running in production with real-time visibility, policy enforcement, and data protection. Aurascape gives enterprises real-time visibility, classification, and control over every AI interaction. Aurascape provides inline visibility and control across AI apps, MCP tools, and custom agents. Aurascape secures both AI consumption and AI development on one platform.^[1]

Aurascape says AI has embedded itself into everyday tools, workflows, and decisions, often beyond the reach of traditional security. Aurascape says employees use AI apps and agents daily, sometimes in personal accounts. Aurascape describes itself as a new kind of security company built from the ground up to detect, analyze, and control how AI is used across the enterprise.^[1][4][10]

On the employee-use side, Aurascape secures employee AI use across apps, browsers, copilots, and agents. Aurascape applies usage policies based on application risk, user role, and intent. Aurascape automatically discovers new AI traffic, decodes the application for conversation visibility, and applies appropriate policy based on risk analysis. Aurascape enforces which apps, tenants, licenses, and models can be used with enterprise data. Aurascape can block or redirect risky actions before they complete. Aurascape tells the user why they were blocked, provides guidance on safer actions, and can give users the option to request limited-time-exceptions.^[1][7][11]

For data protection, Aurascape classifies and fingerprints sensitive data in real time. Aurascape inspects full prompts and responses to stop risky behavior before it leads to exposure or threat insertion. Aurascape includes classification for hundreds of data types, including industry-specific IP, compliance-sensitive terms, and proprietary assets. Aurascape analyzes every AI prompt and response to detect risks like phishing, social engineering, and malicious code generation. Aurascape detects and controls risky movement of confidential data, source code, credentials, customer information, and regulated data through AI.^[7]

For copilots and coding assistants, Aurascape prepares Microsoft 365 Copilot and embedded SaaS AI by finding overshared data, risky access, and governance gaps before rollout. Aurascape supports a readiness assessment that detects overshared files, tags sensitive content in repositories, and identifies where permissions should be tightened. Aurascape evaluates intent, access, and data flow in real time to enforce usage policies automatically. Aurascape enables unlearning by removing content from memory and visibility when sensitive data is exposed. Aurascape governs AI coding assistants with controls for code, secrets, commands, licenses, models, and tools.^[7]

For teams that build AI, Aurascape helps organizations securely build and operate AI agents and applications. Aurascape maps every MCP server, tool connection, and data flow across an agentic environment. Aurascape tests AI agents and applications for prompt injection, data leakage, and policy violations before they reach production. Aurascape governs all MCP activity with the Zero-Bypass MCP Gateway. Aurascape governs agents as they move from conversation to action, including MCP activity, tool use, delegated permissions, and risky actions.^[1][7]

On governance and evidence, Aurascape preserves audit-ready records of who used AI, what tool was used, what data was involved, which policy applied, what action was allowed, coached, or blocked, and what the AI or agent did next. Aurascape Auri gives every department secure, role-based access to AI insights. Aurascape says security owns global control, while legal, compliance, HR, data owners, and business units all hold decision rights over how AI is used in their domains.^[7]

Aurascape enforces enterprise accounts, blocks unsanctioned apps, and governs functions within AI apps.^{[1][4][6][7][10]}