AI Security Solutions

 

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Secure AI Adoption Without Slowing Innovation

 

Artificial intelligence is transforming how organizations operate. Employees are using generative AI to work faster, developers are building AI-powered applications, and AI agents are beginning to automate business processes.

 

The challenge is that AI adoption is moving faster than security. Gartner predicts that by 2027, more than 40% of AI-related data breaches will result from the improper use of generative AI across borders, highlighting the growing need for governance and visibility.

 

 

Traditional cybersecurity solutions were not designed to inspect AI interactions, prevent sensitive information from being shared through AI prompts, or provide the governance organizations need to safely embrace AI.

 

US Signal helps organizations securely adopt AI through comprehensive AI Security solutions, expert guidance, and governance strategies that allow businesses to innovate with confidence.

Why AI Security Matters

AI is quickly becoming part of everyday business operations. Employees are using generative AI tools, developers are building AI-powered applications, and organizations are beginning to automate workflows with AI agents. While these technologies improve productivity, they also create new security risks that many traditional cybersecurity solutions cannot detect or control.

 

Without visibility into AI usage, organizations risk exposing sensitive information, violating internal policies, and creating compliance gaps. The goal is not to prevent AI adoption. The goal is to make AI a secure, governed part of your business.

Shadow AI

Employees often adopt AI tools before IT approves them, creating blind spots and increasing organizational risk.

Data Leakage

Confidential information, intellectual property, customer data, and source code can unintentionally be shared with AI platforms.

AI Application Security

Organizations building AI-powered applications face emerging threats such as prompt injection, model manipulation, jailbreak attempts, and unauthorized access.

AI Governance

Businesses need policies, visibility, and audit trails to support responsible AI adoption and evolving compliance requirements.

A New Security Challenge

Today’s cybersecurity platforms excel at protecting networks, endpoints, identities, and cloud applications. They were not designed to inspect AI prompts, understand conversations with large language models (LLMs), or identify when confidential information is being shared with AI services.

 

As AI adoption accelerates, organizations need AI Security solutions that understand AI interactions, not just traditional network traffic. Effective AI Security requires visibility into how AI is being used, governance that establishes clear policies, and protection that helps prevent sensitive information from leaving your organization.

Secure AI with Confidence

At US Signal, our AI Security services help organizations secure AI throughout its lifecycle, from employee use of generative AI to AI-powered applications and emerging AI agents.

 

Our AI Security platform and services help organizations reduce AI risk while enabling responsible innovation. We help organizations:

  • Discover approved and unapproved AI applications across the enterprise
  • Prevent sensitive information from being exposed through AI prompts
  • Establish AI governance policies that support responsible AI use
  • Protect AI-powered applications against emerging threats
  • Gain visibility into AI activity and evolving risk

Powered by Cato Networks, our AI Security solution combines AI-native security technology with US Signal’s experienced cybersecurity team, giving organizations a trusted partner for enterprise AI Security as AI adoption continues to grow.

Common Questions About AI Security

What is AI Security?

AI Security protects the people, applications, and data involved in the use of artificial intelligence. It includes visibility into AI usage, data protection, governance, and security controls for AI-powered applications.

What is Shadow AI?

Shadow AI refers to employees using AI tools without IT visibility, approval, or governance, increasing organizational and compliance risk.

Can employees safely use generative AI?

Yes. With the right AI Security controls and governance policies, organizations can enable employees to use AI productively while reducing the risk of data exposure.

How is AI Security different from traditional cybersecurity?

Traditional cybersecurity tools were not designed to inspect AI prompts, understand AI conversations, or defend against AI-specific threats such as prompt injection and model manipulation.

How can organizations prevent AI data leakage?

Organizations can reduce AI data leakage by implementing AI usage visibility, governance policies, data protection controls, and real-time monitoring of AI interactions.

Ready to Strengthen Your AI Security?

Whether you’re evaluating AI tools, building AI-powered applications, or developing an enterprise AI strategy, US Signal’s AI Security experts can help you reduce risk while enabling innovation.

Get Started

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