AI/ML Penetration Testing
AI/ML Penetration Testing Services
As artificial intelligence (AI) and machine learning (ML) applications continue to transform industries, securing these complex models and systems is essential. SecLegend’s AI/ML Penetration Testing services are designed to evaluate the security of machine learning models, AI-driven applications, and large language models (LLMs) by identifying vulnerabilities and understanding risks associated with model manipulation, data leakage, adversarial attacks, and more. Our assessments provide actionable insights to help your organization secure these critical AI/ML assets.
Leveraging expertise in AI/ML security, our team identifies weaknesses in your AI models' data pipelines, training processes, and deployment configurations to ensure a robust defense. Our services support organizations using various AI frameworks and platforms, such as TensorFlow, PyTorch, OpenAI, and more.
What is AI/ML Penetration Testing?
AI/ML Penetration Testing is a specialized security assessment focused on evaluating potential risks associated with machine learning models and AI applications. These tests are designed to:
- Identify Model Vulnerabilities: Detect weaknesses that could lead to model inversion, adversarial manipulation, or data leakage.
- Assess Data Integrity and Privacy: Ensure that the training and inference data are secure, protecting sensitive information from extraction or inference attacks.
- Test Model Resilience: Evaluate how AI models handle adversarial inputs, poisoning, or manipulation, ensuring robust and secure performance.
Our AI/ML Penetration Testing services provide an in-depth examination of model behaviors, vulnerabilities in model data pipelines, and potential attack vectors, helping you secure AI-powered applications in an ever-evolving threat landscape.
Why Choose SecLegend for AI/ML Penetration Testing?
At SecLegend, we specialize in advanced AI and ML security assessments. Our AI/ML Penetration Testing services are designed with a deep understanding of AI vulnerabilities and unique threats to machine learning systems. Here’s why SecLegend is your trusted partner:
- Specialized AI Security Expertise: Our team has extensive knowledge of machine learning security practices and has experience working with popular AI frameworks, such as TensorFlow, PyTorch, and OpenAI models.
- Comprehensive Testing Approach: We go beyond standard security tests, incorporating model-specific testing for threats like adversarial inputs, model inversion, and data poisoning.
- Detailed Reporting: Our reports include prioritized vulnerabilities, contextual explanations, and recommended remediation steps to enhance the security of your AI/ML assets.
- Ongoing Support and Training: We provide continuous support to your teams, helping them maintain a secure AI development lifecycle and protect sensitive AI/ML infrastructure.
Choosing SecLegend means you’re equipping your AI systems with robust defenses, safeguarding your models and data in an increasingly complex AI-driven world.
Large Language Model (LLM) Penetration Testing
LLM Penetration Testing is a focused examination of security vulnerabilities in large language models (LLMs), which are increasingly deployed in customer-facing applications, decision-making systems, and data-driven environments. Due to their complexity and ability to handle vast amounts of sensitive information, LLMs present unique security challenges. Our approach includes:
- Prompt Injection Testing: Identifying vulnerabilities related to prompt injections that may lead to unintended behaviors or data exposure.
- Data Leakage Prevention: Evaluating how sensitive information is stored and used within the model to prevent data extraction attacks.
- Model Inversion Testing: Testing for vulnerabilities that could allow attackers to infer private information from the training dataset.
- OWASP Top 10 for LLMs: Using the latest OWASP guidelines for Large Language Models to address common vulnerabilities such as data leakage, unauthorized access, and model manipulation.
LLM Penetration Testing ensures your language models are secure and that privacy and ethical considerations are met, protecting both users and organizational data.
OWASP Top 10 for Large Language Models
As AI and LLMs become mainstream, the OWASP Top 10 for Large Language Models is a crucial resource for understanding and mitigating common security risks associated with LLMs. This list highlights the primary threats to LLM security, including:
- Data Leakage: Ensuring sensitive data is not accidentally disclosed through model responses or predictions.
- Prompt Injection: Protecting against maliciously crafted prompts that can cause the model to exhibit unintended behaviors.
- Unauthorized Access: Securing access control around LLMs to prevent unauthorized individuals from interacting with or extracting data from the model.
- Training Data Privacy: Safeguarding the data used to train the model to avoid privacy violations and ensure compliance with regulations.
- Model Manipulation and Inference Attacks: Preventing attacks that manipulate model behavior or infer information about the training data.
By following the OWASP Top 10 for LLMs, SecLegend ensures that your large language models adhere to industry standards, prioritizing data privacy, security, and compliance to mitigate potential risks effectively.
Get Started with AI/ML Penetration Testing Today!
Protect your AI and ML systems from evolving threats with SecLegend’s specialized AI/ML Penetration Testing services. Our team is ready to help you secure your machine learning models, large language models, and AI applications, safeguarding your organization’s valuable data and infrastructure. Contact us today to schedule your assessment and ensure your AI/ML assets are secure.
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Simulate real-world attacks to test and enhance the resilience of your organization’s security systems.
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Purple Team Assessment
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Adversary Simulation / Emulation
Mimic adversarial techniques to identify weaknesses in your defenses and improve your security posture.
Vulnerability Assessment
Identify and assess potential vulnerabilities in your systems to secure your digital assets.
Web Application Penetration Testing
Discover vulnerabilities in web applications that could be exploited by attackers.
Source Code Review
Identify security vulnerabilities in your application’s code and enhance its overall security.
Network Penetration Testing
Secure your network infrastructure by identifying and mitigating weaknesses.
Cloud Penetration Testing
Identify vulnerabilities and risks in your cloud environment to prevent breaches.
AI/ML Penetration Testing
Evaluate the security of your AI and ML models to mitigate potential threats.
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Protect endpoints from threats through proactive monitoring and response mechanisms.
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