Secure AI across your entire organization.

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April 30, 2026

Aurascape

AI security

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Secure AI across your entire organization.

Agent AI Security AI Lifecycle Security Real-time Visibility Data Protection Secure AI Adoption

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Overview

Aurascape is an artificial intelligence (AI) security platform designed to assist enterprises gain real-time visibility and intent-based control over every AI interaction.

This platform aims to secure the use and build of AI applications without inhibiting innovation. It provides security for employee AI usage across various channels such as applications, browsers, copilots, and agents, allowing teams to innovate while protecting sensitive data.

Aurascape offers safeguards for secure AI adoption by offering real-time visibility, policy enforcement, as well as data protection. The platform also facilitates the secure build and operation of AI agents and applications by imbuing controls that protect data, govern behaviour, and strengthen security throughout the AI lifecycle - from development to runtime.

This approach reduces risk and enhances productivity in AI agent development for organizations. Aurascape goes beyond traditional security blindspots by detecting every AI application and agent in use, even when embedded inside SaaS applications.

It is equipped with the capability to detect sensitive information flowing through AI tools in real-time and apply contextual, intent-based controls to prevent leakage or misuse.

Furthermore, Aurascape is designed to secure AI agents from the first line of code to the production runtime, providing full visibility, adversarial testing, and continuous governance across each tool call and model interaction.

It automatically discovers and understands the full context of thousands of applications, using real-time, intelligent and dynamic data categorization and threat inspection for precision security required by AI applications and agents.

In terms of operations, it offers natural-language summaries, alerts, and user coaching. Notably, Aurascape also secures the entire AI agent lifecycle from pre-build testing to runtime enforcement, and it has proven reliable for security teams advancing into the AI era.

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Cybersecurity

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Initial release

April 8, 2025

Initial release of Aurascape.

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Pros and Cons

Pros

Real-time visibility

Intent-based control

Policy enforcement feature

Capable of data protection

Data leakage prevention

Prevents data misuse

In-built continuous governance

Uncovers embedded SaaS applications

Real-time sensitive information detection

Contextual control application

Adversarial testing provision

Dynamic data categorization

Real-time threat inspection

Predictive security provided

Delivers natural-language summaries

Provides user coaching

Covers pre-build testing

Enforces runtime security

Real-time risk scoring

Deep intention decoders

Real-time policy enforcement

Protects against data fingerprinting

Empowers user coaching

Safeguards coding

Operates on zero bypass

Examines user identity

Understands user intentions

Role-based policy application

Sensitive data tagging

Offers automated unlearning

Displays natural-language alerts

View 26 more pros

Cons

Lacks broader cybersecurity measures

No offline functionality mentioned

May not support all SaaS

No explicit third-party integrations

Unspecified user interface experience

No mention of scalability

Requires continuous connectivity

Maintenance downtime not addressed

Pricing structure not mentioned

View 4 more cons

Q&A

What is Aurascape?

Aurascape is an artificial intelligence (AI) security platform designed to assist enterprises gain real-time visibility and intent-based control over every AI interaction. It aims to secure the use and build of AI applications without inhibiting innovation.

How can Aurascape assist enterprises?

Aurascape aids enterprises by providing real-time visibility into and intent-based control over every AI interaction. It helps secure the use and creation of AI applications and also provides safeguards during the AI adoption phase. It ensures the protection of sensitive data during employee AI usage across various channels and supports secure AI agent creation and operation.

How does Aurascape provide security for AI usage?

Aurascape secures AI usage by providing security for employee AI usage across various platforms such as applications, browsers, copilots, and agents. It identifies every AI application and agent at use, even those embedded inside SaaS applications, and detects sensitive information running through AI tools in real-time to apply contextual, intent-based controls that prevent leakage or misuse of data.

How does Aurascape secure the build and operation of AI agents?

Aurascape assists in the secure build and operation of AI agents and applications by implementing controls that effectively preserve data, govern behavior, and augment protection throughout the AI lifecycle from development to runtime. It ensures full visibility, adversarial testing, and continuous governance across each tool call and model interaction.

What role does Aurascape play in AI lifecycle?

Aurascape plays a crucial role throughout the AI lifecycle. It secures AI agents from the first line of code to the production runtime, offering full visibility, adversarial testing, and continuous governance every step of the way. This approach reduces risk and boosts productivity in AI agent development for organizations.

Does Aurascape cater to SaaS applications?

Yes, Aurascape does cater to SaaS applications. It is capable of detecting every AI application and agent in use, even when these are embedded inside SaaS applications.

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How does Aurascape prevent data leakage and misuse?

Aurascape identifies sensitive information flowing through AI tools in real-time. It responds by applying contextual, intent-based controls to this data, thus preventing data leakage or misuse. This function operates at high precision levels, proving crucial for securing AI applications and agents.

What is Aurascape's approach towards AI agent security?

Aurascape relies on a comprehensive approach towards AI agent security. From the first line of code to the production runtime, it provides full visibility into dealings and adversarial testing. It maintains continuous governance across each tool call and model interaction. This unprecedented oversight gives it the ability to understand the full context of thousands of applications, enhancing the overall security.

Does Aurascape offer adversarial testing?

Yes, Aurascape does offer adversarial testing. As part of securing AI agents across the lifecycle, from development to runtime, it provides full visibility and adversarial testing to ensure the integrity of each tool call and model interaction.

How does Aurascape discover and understand applications?

Aurascape employs real-time, intelligent, and dynamic data categorization and threat inspection tools to automatically discover and understand the full context of thousands of applications. This high-end technology delivers granular contextual control based on risk and user intentions.

What is Aurascape's capability in dynamic data categorization and threat inspection?

Aurascape's capability in dynamic data categorization and threat inspection aids in discovering and understanding AI applications in real-time. This real-time, intelligent, and dynamic data categorization and threat inspection is used for precision security required by AI applications and agents.

How does Aurascape offer user coaching?

Aurascape offers user coaching through natural-language summaries, alerts and other means of communication. This guidance is designed to promote optimal use of the platform and boost user understanding and competency.

What lifecycle stages does Aurascape secure for AI agents?

Aurascape secures the entire lifecycle of AI agents, from pre-build testing to runtime enforcement. This comprehensive oversight ensures AI agents are securely developed, tested, and operated, minimizing risk and enhancing productivity.

Can Aurascape provide natural-language summaries?

Yes, Aurascape does provide natural-language summaries. These are part of its operational offerings and are designed to be easily understood, promoting efficient communication of important information to users.

How reliable is Aurascape for security teams?

Aurascape has proven to be a reliable resource for security teams advancing into the AI era. It offers high-end AI security features that ensure real-time visibility, policy enforcement, and data protection, making it a trusted solution for businesses.

How does Aurascape facilitate secure AI adoption?

Aurascape helps facilitate secure AI adoption by providing real-time visibility, policy enforcement, and data protection. It also secures the build and operation of AI agents, from development to runtime, ensuring that data, behavior, and security are all governed effectively. This unique capabilities set gives businesses the confidence to innovate with AI while keeping sensitive data secure.

What visibility and control does Aurascape offer over AI interactions?

Aurascape gives enterprises real-time visibility and intent-based control over every AI interaction. It is capable of detecting and understanding every AI application and agent in use, providing insight and control over employee AI usage across all channels. This comprehensive visibility ensures strong oversight and control over AI interactions across the enterprise.

How does Aurascape handle sensitive data flowing through AI tools?

Aurascape handles sensitive data flowing through AI tools by detecting it in real time. Once identified, it applies contextual, intent-based controls to this data to prevent leakage or misuse. This real-time protection is particularly critical for securing AI applications and agents.

How does Aurascape provide continuous governance across AI tools?

Aurascape provides continuous governance across AI tools by ensuring secure AI agent and application operations. From the development stage to runtime, the platform maintains oversight—offering full visibility, adversarial testing, and ongoing governance across every tool call and model interaction.

What is the role of Aurascape in detecting AI applications and agents embedded inside SaaS applications?

Aurascape plays a vital role in detecting AI applications and agents embedded inside SaaS applications. This ability enables Aurascape to go beyond traditional security blind spots—providing companies a more comprehensive insight into their AI use and thus bolstering overall security.

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