SGNL has introduced new support for the Model Context Protocol (MCP), an emerging standard that allows AI agents to perform real tasks within organizations. While these agents can enhance productivity, they also pose risks by potentially accessing sensitive information without proper controls. To address this, SGNL offers advanced identity management solutions that ensure real-time, context-aware access decisions. This technology helps prevent data exposure and compliance violations while allowing businesses to utilize AI capabilities safely. As AI becomes more integrated into workplace processes, SGNL’s approach aims to safeguard critical systems and data from unauthorized access. The platform is already in use by many Fortune 500 companies, securing operations effectively.
SGNL Enhances Data Security for Enterprises with MCP Support
PALO ALTO, Calif., March 28, 2025 – In today’s fast-paced business landscape, SGNL, a leading provider of Privileged Identity Management (PIM), has announced its new support for Model Context Protocol (MCP). This innovative protocol is set to revolutionize how AI agents interact with enterprise systems. As these AI-driven agents gain the ability to perform complex tasks, ensuring controlled access to sensitive data becomes critically important.
MCP is making waves as it allows AI agents to communicate with real-world tools seamlessly. However, the risk of unauthorized access to sensitive information has also increased. Without proper safeguards, these agents can inadvertently expose confidential data or make decisions based on sensitive prompts, such as inquiries about headcount or internal changes.
To address this challenge, SGNL leverages real-time, context-aware policies that govern AI access just like human access. This means that every time an AI agent requests information, SGNL evaluates four key factors:
– Who is making the request
– What they are trying to access
– Why they need the information
– Whether company policy permits that access at that moment
This approach ensures that enterprises can enjoy the efficiency of AI automation while maintaining control over information security.
Marc Jordan, VP of Product Management at SGNL, emphasizes that the issue isn’t malicious intent but rather “blind access.” AI agents may not recognize the sensitivity of the data they handle, which makes real-time oversight essential.
As companies increasingly rely on AI technology, SGNL is committed to providing robust solutions, empowering organizations to streamline their operations without the risk of compromising security.
If you’re interested in seeing how SGNL secures AI agents in action, you can schedule a demo through their website. Their platform is helping major enterprises balance the need for speed and security, ultimately allowing businesses to harness the power of AI responsibly.
For more information about SGNL and its services, visit sgnl.ai.
Tags: SGNL, MCP, AI Security, Privileged Identity Management, Data Access Control.
Primary Keyword: SGNL
Secondary Keywords: MCP, Data Security, AI Agents.
What is MCP in the context of AI agents?
MCP stands for Multi-Channel Processing. It allows AI agents to use more than one way to understand and respond to users. This helps them understand what people want better and provide more helpful answers.
How does SGNL ensure AI agents use their power responsibly?
SGNL sets guidelines and checks to make sure AI agents act safely and ethically. It monitors their actions and decisions to prevent misuse of their abilities, ensuring they help people without causing harm.
What are AI agents capable of with MCP technology?
With MCP, AI agents can analyze and respond to information from various sources at once. This means they can provide quicker answers and adapt to different types of conversations more effectively.
Why is responsible use of AI important?
Responsible use of AI is important because it helps protect users from harmful actions. It ensures that AI agents respect privacy, treat people fairly, and make safe decisions that benefit society.
Can I trust AI agents powered by MCP and SGNL?
Yes, you can trust them as they are designed to follow strict rules for safety and ethics. SGNL’s guidelines help ensure that AI agents are reliable and focused on helping users in a positive way.