September 5, 2025
Design Review Checklist for Secure Multicloud LLMs
Design Review Checklist for Secure Multicloud LLMs
Fiza Nadeem
New Update: Our new blog is updated.
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As Large Language Models (LLMs) reshape industries, their rapid adoption has exposed unique security vulnerabilities.
Recognizing this, OWASP has introduced a specialized OWASP Top 10 for Large Language Models, highlighting the most critical risks organizations must address.
In this blog, we’ll explore the OWASP Top 10 LLM vulnerabilities and how ioSENTRIX’s advanced OWASP LLM penetration testing services ensure robust security for your AI systems.
LLMs operate differently from traditional applications, introducing vulnerabilities that demand specialized testing. Here are some key challenges:
Standard testing methods often fail to address these unique OWASP LLM security risks, making penetration testing for LLMs a critical part of any robust cybersecurity strategy.
The LLM OWASP Top 10 risks outline the most critical vulnerabilities, including:
Understanding and addressing these OWASP Top 10 LLM vulnerabilities is crucial for securing AI systems in real-world environments.
ioSENTRIX employs a specialized approach to OWASP LLM penetration testing, focusing on uncovering vulnerabilities listed in the OWASP Top 10 for LLMs.
We test how your model handles adversarial inputs, ensuring it can’t be manipulated to produce unintended outputs.
Example: Testing a chatbot for resilience against prompts designed to extract sensitive internal data.
ioSENTRIX evaluates whether LLMs inadvertently disclose sensitive information, even when queried in non-standard ways.
Example: Ensuring compliance for LLMs handling financial or healthcare data.
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Our team simulates data poisoning attacks to assess the robustness of your training pipeline.
Example: Preventing compromised datasets from skewing the outputs of AI models in mission-critical applications.
We assess your LLM deployment for misconfigurations, ensuring APIs are protected against unauthorized access.
Example: Locking down APIs to prevent unauthorized actors from accessing proprietary models.
ioSENTRIX tests your systems against excessive usage or malformed queries that could degrade performance or cause downtime.
Example: Ensuring robust rate-limiting mechanisms to prevent denial-of-service attacks.
A financial services company engaged ioSENTRIX to test its LLM-based advisory platform.
Ensure the AI system adhered to strict security and regulatory requirements while addressing vulnerabilities outlined in the OWASP Top 10 for Large Language Models.
The organization fortified its AI platform, ensuring compliance and maintaining customer trust.
ioSENTRIX is at the forefront of AI security, offering:
The OWASP Top 10 for Large Language Models provides a critical framework for understanding and mitigating OWASP LLM security risks.
ioSENTRIX’s OWASP LLM penetration testing services ensure your deployments are secure, resilient, and compliant.
Contact ioSENTRIX today to safeguard your AI and LLM assets against emerging threats.
It’s a specialized framework by OWASP that identifies the most critical security risks unique to LLMs, helping organizations strengthen their AI security posture.
Traditional security testing doesn’t address AI-specific risks. OWASP LLM penetration testing ensures vulnerabilities like prompt injection or data leakage are identified and mitigated.
ioSENTRIX tests against adversarial attacks, misconfigurations, data poisoning, and other OWASP Top 10 LLM vulnerabilities, providing actionable remediation.
Financial services, healthcare, government, and any organization using AI-powered applications benefit by ensuring compliance, resilience, and data protection.
Penetration testing should be conducted regularly before deployment, after significant updates, and as part of ongoing LLM OWASP Top 10 risks monitoring.
