Aurascape has introduced a major expansion of its AI security platform to help enterprises adopt AI agents more securely. With this update, the company is responding to a fast-changing security landscape as organizations increasingly deploy AI agents across employee productivity tools, business applications, and internal workflows.

As enterprise AI evolves, the security challenge is becoming more complex. Earlier AI tools mainly focused on generating responses, but AI agents now go much further. They can connect to business systems, access sensitive data, invoke tools, and take action on behalf of users or the organization. Because of that shift, security teams now face a broader and more urgent set of risks. This is especially true as companies adopt both third-party agentic tools and custom-built AI applications.

To address these issues, Aurascape has expanded its platform to cover both sides of enterprise AI. The company already supports organizations in securing employee use of commercial AI and embedded AI technologies. Now, it is extending that same platform so businesses can also securely build, test, govern, and monitor AI agents and custom AI applications. As a result, security teams gain a unified control point for both AI usage and AI development.

“During the first wave of AI, security was about controlling prompts and protecting sensitive data. That is no longer enough,” said Moinul Khan, CEO of Aurascape. “AI agents can access systems, use tools, and take action on behalf of the business. That changes the security problem completely. Organizations need a way to securely unleash AI agents, whether they buy them or build them. Aurascape gives them one platform to do that.”

At the center of this announcement is Aurascape’s new Zero-Bypass MCP Gateway, which targets one of the most significant emerging security gaps in agent-based AI. As Model Context Protocol, or MCP, becomes a more common standard for connecting AI agents to enterprise systems and digital tools, many standalone gateway solutions only secure the traffic intentionally routed through them. However, Aurascape takes a broader approach. By combining its MCP Gateway with its AI Proxy, the company helps organizations govern trusted tool usage, spot risky MCP-related behavior visible to the platform, and reduce bypass risk across agent interactions.

In addition, Aurascape is adding several new capabilities for organizations that are building AI agents and AI applications internally. These enhancements include visibility into MCP servers and tool calls, pre-release testing, runtime guardrails for live AI interactions, and detection of code and dependency weaknesses around AI systems. Consequently, security teams can better understand how agentic systems are connected, detect vulnerabilities before launch, and enforce policies once systems move into production.

At the same time, Aurascape is strengthening the AI use side of its platform. The expanded offering now includes broader AI application coverage, faster discovery, custom application signatures, and local agent discovery. Therefore, enterprises can gain deeper visibility into the growing mix of commercial AI, embedded AI, and on-device agents already in use across the organization.

Overall, Aurascape’s latest move brings together AI usage control, gateway enforcement, testing, and runtime protection into one platform. Rather than relying on multiple separate tools, enterprises can now apply a single AI security layer across the full AI environment. This launch positions Aurascape to support organizations as they scale agentic AI adoption while maintaining stronger security, governance, and operational control.

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