Protect Your LLM Applications: Stay Ahead of AI Threats with Trend Vision One

Addressing the Security Challenges of Large Language Models: Insights from Trend Micro and OWASP

The rapid ascension of artificial intelligence (AI), particularly Large Language Models (LLMs), has transformed the technology landscape, bringing both incredible potential and newfound risks. According to the World Economic Forum’s Global Cybersecurity Outlook 2025, merely 37% of organizations have established protocols to assess the security of AI tools prior to their deployment. This glaring statistic underscores the security gap that businesses navigate as they hastily incorporate AI technologies without the necessary protective measures.

As LLMs infiltrate industries from customer service automation to data analysis, the imperative to mitigate associated risks becomes increasingly critical. In this context, the OWASP Top 10 for LLM Applications serves as a vital resource, cataloging the most pressing vulnerabilities that organizations must address when leveraging AI technologies.

The Evolution of AI and Associated Risks

LLMs are a cornerstone of the AI revolution, powering applications that streamline communication and enhance efficiency. However, this leap in technology inevitably brings with it an array of security challenges that can lead to unforeseen consequences. With every new development, organizations face threats ranging from data leaks to adversarial prompt injections.

The OWASP Top 10 for LLM Applications identifies key vulnerabilities to help organizations prepare for and combat these risks effectively.

Trend Micro: Bridging the Security Gap

At the forefront of addressing these vulnerabilities is Trend Micro, with its flagship cybersecurity platform: Trend Vision One™. This enterprise solution is designed to protect organizations holistically across various domains, including AI, endpoints, cloud environments, and networks.

Core Components of Trend Vision One:

• Zero Trust Secure Access: This component ensures secure access across users and environments, implementing risk control rules to safeguard internal resources and cloud access.

• ZTSA AI Service Access: It scrutinizes traffic to and from generative AI services, aiming to thwart unauthorized access and prompt injection attacks.

• AI Security Posture Management (AI-SPM): Provides insights into AI-related assets, identifying potential vulnerabilities and unauthorized access attempts.

• AI App Guard: Features monitoring capabilities that protect AI applications from tampering by identifying and neutralizing suspicious activities.

• Container Protection: Assures that only verified containers are deployed while monitoring pipelines for threats and compliance violations.

• TippingPoint™: Delivers real-time protection for AI infrastructure against network-based attacks to exploit vulnerabilities.

• Server & Workload – Intrusion Prevention System: Focuses on protecting AI servers against known vulnerabilities through automated responses.

Mapping Solutions to OWASP’s Top 10 Vulnerabilities

Trend Vision One addresses several OWASP-identified risks, efficiently bridging the security gap with tailored solutions:

1. LLM01: Prompt Injection: This can manipulate the output of LLMs. The solution involves input/output validation and stringent access control through ZTSA.

2. LLM02: Sensitive Information Disclosure: Protects against the exposure of confidential data using AI-SPM and TippingPoint monitoring.

3. LLM03: Supply Chain Vulnerabilities: Safeguards against compromised models during deployment, utilizing Container Security and intrusion prevention systems.

4. LLM05: Improper Output Handling: Ensures LLM outputs are validated and sanitized before deployment.

5. LLM06: Excessive Agency: Limits the autonomy of LLM to mitigate risks associated with overreach in functions.

6. LLM08: Vector and Embedding Weaknesses: Prevents information manipulation through advanced container security.

7. LLM10: Unbounded Consumption: Implements rate limiting to control resource abuse, hence protecting against denial-of-service threats.

By synthesizing these components, Trend Vision One provides a robust defense against many significant risks outlined in the OWASP Top 10 for LLM Applications.

Ongoing Development and Future Protections

Trend Micro remains committed to evolving its security solutions to encompass additional vulnerabilities outlined in the OWASP framework:

• Data and Model Poisoning (LLM04): Trend Micro aims to enhance detection mechanisms for identifying attempts that compromise model integrity, ensuring uninterrupted trustworthiness.

• System Prompt Leakage (LLM07): Plans for comprehensive auditing tools will systematically review prompt handling, protecting intellectual property from unauthorized access.

• Misinformation (LLM09): The development of advanced content verification tools works to combat the growing issue of AI-generated misinformation, bolstering the integrity of LLM systems.

Conclusion

As industries increasingly rely on LLM technologies, understanding and addressing the accompanying security risks is paramount. The integration of Trend Micro’s Vision One platform not only facilitates compliance with the OWASP Top 10 but also prepares enterprises for the vulnerabilities that lie ahead. By translating insights into actionable solutions, organizations can fortify their defenses and foster an environment where AI innovation thrives safely.

For further insights on addressing LLM vulnerabilities, be sure to explore the detailed white paper provided by Trend Micro, where comprehensive information on their protective measures and strategies is laid out.

Read the full white paper here.