Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Find the Invisible: Salt MCP Finder Technology for Proactive MCP Discovery

The conversation about AI security has shifted. For the past year, the focus has been on the model itself: poisoning data, prompt injection, and protecting intellectual property. These are critical concerns, but they miss the bigger picture of how AI is actually being operationalized in the enterprise. We are entering the era of Agentic AI. AI is no longer just generating text; it is taking action. Autonomous agents read customer tickets, query databases, update financial records, and trigger workflows.

Solving Al Agent Sprawl: API Governance Across Multi Gateway Environments

As organizations accelerate adoption of AI agents, autonomous workflows powered by LLMs and MCP servers are rapidly proliferating across internal systems, partner networks, cloud environments, and API gateways. The result? A sprawling, often invisible attack surface: shadow APIs, duplicate endpoints, context drift, unmanaged agent access, inconsistent policies, and risk of data exposure or compliance failures.

From Cloud to Code: Salt Cloud Connect Now Scans GitHub

One of our most-loved features is Salt Cloud Connect. In a world of complex deployments, it’s a breath of fresh air: an agentless discovery model that delivers under 10-minute deployment and rapidly gathering API-specific info in cloud platforms. Customers plug it in, and in minutes, not weeks, they get a “traffic-free”, complete inventory of their APIs across AWS, Azure, GCP, Kong, and Mulesoft. This “ease of use” provides a “wow” moment of immediate visibility.