As your AI capabilities grow, so does your attack surface.
Artificial intelligence is transforming how organizations operate - but it's also introducing a new class of security risks that traditional frameworks weren't built to address. Prompt injection attacks, insecure AI pipelines, vulnerable low-code platforms, and AI-built applications represent emerging threat vectors that require specialized expertise to defend against.
NueSecure's AI Security practice helps organizations understand and manage the unique risks of deploying AI systems - from LLM-powered applications and copilots to custom-trained models, AI-integrated data pipelines, and low-code/no-code platforms built with AI tooling. We bring together offensive security expertise, AI governance frameworks, and emerging regulatory requirements (EU AI Act, NIST AI RMF) to help you deploy AI confidently and securely.
Comprehensive capabilities tailored to your security needs
A structured approach to delivering exceptional results, aligned with industry-leading frameworks including PTES, OWASP, MITRE ATT&CK, and NIST standards.
Identify all AI systems, LLM integrations, third-party AI tools, and data pipelines across your environment.
Map specific attack vectors relevant to your AI architecture: prompt injection, model extraction, data poisoning, adversarial inputs.
Adversarial testing of LLM-powered applications for prompt injection, jailbreaking, insecure output handling, and data leakage.
Security assessment of applications built using AI tooling, low-code platforms, and no-code automation tools. Evaluate the security of generated code, data handling, and integration vulnerabilities.
Review training data controls, model access governance, and protection against inversion or extraction attacks.
Assess the security of MLOps infrastructure, model registries, API layers, and third-party AI integrations.
Build policies, risk registers, and oversight processes aligned to NIST AI RMF and your regulatory environment.
Continuous adversarial testing as your AI systems evolve and new attack techniques emerge.
Real-world examples of how we've helped organizations like yours
A SaaS company launching a customer-facing AI assistant engaged NueSecure for LLM red teaming before release. Our team discovered prompt injection vulnerabilities that could have allowed users to extract internal system prompts and manipulate the assistant into providing unauthorized information. All critical findings were remediated prior to launch.
A wealth management firm deploying an AI-powered investment research tool needed assurance that client data was protected against model inversion and that the system was aligned to emerging SEC AI guidance. NueSecure assessed the model access architecture and built an AI governance framework that satisfied the firm's compliance and client disclosure obligations.
A health system integrating AI-powered clinical decision support needed an AI risk assessment aligned to FDA guidance and HIPAA requirements. NueSecure assessed the AI pipeline from training data provenance through output monitoring, identifying three gaps in audit logging that would have created HIPAA compliance exposure.
Find answers to frequently asked questions about our AI Security services
Prompt injection is an attack technique where malicious input causes an AI system to ignore its intended instructions and perform unintended actions - like revealing confidential system prompts, accessing unauthorized data, or taking actions outside its defined scope. As LLMs become embedded in enterprise workflows, prompt injection represents a significant and underestimated attack surface.
Our LLM red teaming combines automated testing with expert-driven adversarial prompting. We test for the OWASP Top 10 for LLMs - including prompt injection, insecure output handling, excessive agency, overreliance, and sensitive information disclosure - using a combination of proprietary tooling and manual creative attack techniques.
The NIST AI RMF is a voluntary framework published by NIST to help organizations identify, assess, and manage the risks associated with AI systems. It covers four functions: Govern, Map, Measure, and Manage. NueSecure helps organizations implement the AI RMF as the governance backbone of their AI security program.
Yes, and they are evolving rapidly. The EU AI Act creates mandatory requirements for high-risk AI systems. The NIST AI RMF is increasingly referenced by US regulators. The SEC has issued guidance on AI use in financial services. NueSecure tracks these developments and helps you stay ahead of requirements before they become enforcement priorities.
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