Generative AI Security: Addressing OWASP LLM Top 10 Risks with Forcepoint AI Data Security

The active adoption of generative artificial intelligence (GenAI) and large language models (LLMs) opens up new opportunities for business, but simultaneously creates serious risks for information protection. Forcepoint, one of the global leaders in cybersecurity, emphasizes the need for systemic control over employee interactions with AI services.

To systematize the main threats, the international OWASP community formed the OWASP Top 10 for LLM Applications ranking. Without reliable control tools, the use of GenAI can lead to leaks of intellectual property, personally identifiable information (PII), and regulatory compliance violations. Forcepoint offers a comprehensive solution, Forcepoint AI Data Security, allowing companies to safely leverage the benefits of innovation.

Main security threats when working with LLMs according to OWASP

The use of AI models in an enterprise environment creates specific vulnerabilities that cannot be covered by standard security tools:

• LLM01: Prompt Injection: manipulation of input data to bypass built-in model constraints and gain unauthorized access to the system.
• LLM02: Sensitive Information Disclosure: accidental or intentional transfer of confidential data, source code, or PII to public AI services.
• LLM06: Excessive Agency: granting AI models overly broad permissions to perform actions in corporate systems without proper verification.
• LLM10: Model Theft: unauthorized access to or exfiltration of proprietary models and training datasets.

Organizations should not have to choose between adopting artificial intelligence and ensuring cybersecurity. The key to success is smart data control in real time.

How Forcepoint AI Data Security addresses AI security challenges

The Forcepoint AI Data Security solution is designed to protect sensitive data at all stages of its interaction with web services, cloud applications, and AI tools (ChatGPT, Claude, Copilot, etc.).

Automated monitoring and data loss prevention (DLP for AI)

• Accurate contextual analysis: utilization of patented Exact Data Matching (EDM) algorithms and machine learning to block the transfer of confidential files in AI prompts.
• Real-time protection: automatic detection of PII, trade secrets, and source code when typed into text fields of public AI chats.

Visibility and usage control (AI Governance)

• Shadow AI discovery: complete visibility into which AI services employees are using and what volumes of data are being sent there.
• Flexible access policies: the ability to differentiate GenAI usage permissions based on user roles and data sensitivity levels.

Adaptive protection considering user behavior

• Behavioral analysis (Risk-Adaptive Protection): dynamic adjustment of security policy enforcement based on an individual user's risk level.
• Employee education: detection of risky actions and display of pop-up guidance explaining the risks of sharing corporate data.

Comparison of data protection approaches when working with AI

Traditional DLP and Web Security

• Focus: blocking websites or standard files (PDF, Docx) based on basic pattern matching.
• Limitations: unable to recognize sensitive context inside prompts or predict risks specific to LLM architecture.

Forcepoint AI Data Security

• Focus: deep real-time analysis of prompt text, data context, and user behavior.
• Advantage: enables safe authorization of GenAI usage by blocking only unsafe actions without interrupting employee productivity.

Why implement Forcepoint solutions with Softprom

Softprom is an official distributor of Forcepoint. We provide a full range of services for selecting, testing, and deploying data protection systems.

• Expertise: certified Softprom specialists will help configure security policies to match your organization's standards.
• Pilot projects (PoC): free proof-of-concept testing of Forcepoint AI Data Security in your actual infrastructure environment.
• Support: technical guidance at all stages of project design, deployment, and ongoing maintenance.