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The AI Security Gap: Why Traditional Security Tools Fall Short

By Peter Lunk

Most enterprise security strategies rely on network-based protection like Secure Access Service Edge (SASE) or cloud-based security solutions. While these tools protect data in motion, they don’t secure the prompt—the critical input AI models rely on.

This introduces a number of new risks:

  • Direct prompt injection – Attackers manipulate AI inputs to extract sensitive data or override security settings.
  • Indirect prompt injection – Malicious actors embed hidden commands in external data sources, tricking AI into unintended actions.
  • Shadow AI risks – Employees unknowingly use unauthorized AI models, creating unseen compliance gaps.

Since these threats originate at the user interaction level, they bypass traditional security controls. Companies need a new approach—one that starts at the endpoint where AI meets the user.

Enterprise Browsers at the endpoint are a game-changer for AI security. Instead of trying to retrofit old security models to protect AI, Endpoint AI Security leverages an enterprise browser to secure interactions where users engage with AI models. Prompt protection ensures that user inputs and AI-generated responses are monitored in real time, preventing sensitive data leaks, unauthorized prompts, and potential security breaches. AI Usage Control restricts employees to approved AI tools, mitigating the risks posed by shadow AI applications that operate outside of enterprise security policies. Meanwhile, continuous AI monitoring tracks AI interactions to detect anomalies, suspicious behavior, and compliance violations before they escalate into threats. Lastly, data containment keeps corporate information within secure environments, preventing unintentional exposure to personal or external AI models. By embedding these controls into an enterprise browser, organizations can confidently harness the power of AI while maintaining security, compliance, and operational integrity.

AI Is the Future— but it needs guardrails. The Mammoth Enterprise Browser provides a controlled, secure environment where AI interactions can be monitored, managed, and protected at scale.

As AI transforms software and business operations, securing AI interactions is no longer optional. The endpoint is the new frontline of AI security.

Want to learn more about how enterprise browsers can safeguard AI-driven workflows?

Read our full white paper here.