CyberLite Service

Cybersecurity for AI

Specialized Security for AI Systems & Infrastructure

As AI becomes mission-critical, specialized security is no longer optional.

What is Cybersecurity for AI?

Artificial intelligence introduces unique security challenges that traditional cybersecurity tools are not designed to address. CyberLite's AI security practice provides specialized assessments, monitoring, and protection for AI/ML systems — safeguarding your models, training data, inference infrastructure, and ensuring compliance with emerging AI regulations.

AI-Specific Threat Coverage

We address threats unique to AI: adversarial examples, model inversion, data poisoning, prompt injection, and model theft.

Regulatory Compliance

Navigate the EU AI Act, NIST AI RMF, and emerging AI governance frameworks with expert guidance.

End-to-End Protection

Security coverage across the entire AI lifecycle: data collection, model training, deployment, and inference.

LLM Security Expertise

Specialized protection for Large Language Models against prompt injection, jailbreaking, and data exfiltration attacks.

What's Included

AI model security assessment & red teaming

Training data pipeline security & integrity

Adversarial robustness testing

Prompt injection & jailbreak defense (LLMs)

Model theft & intellectual property protection

AI supply chain security assessment

EU AI Act & NIST AI RMF compliance

AI incident response planning

MLOps security architecture review

AI governance framework development

Our Process

How we deliver Cybersecurity for AI for your organization

AI Asset Discovery

We map your entire AI ecosystem — models, training pipelines, data stores, APIs, and third-party AI services.

Threat Modeling

Our AI security experts identify attack vectors specific to your AI systems, prioritizing by business impact and exploitability.

Security Assessment

Hands-on testing of your AI models and infrastructure using adversarial techniques, red team exercises, and automated scanning.

Remediation & Hardening

Detailed remediation guidance, architecture recommendations, and ongoing monitoring to maintain AI security posture.

Frequently Asked Questions

Why does AI need specialized cybersecurity?

AI systems face unique threats not addressed by traditional security tools: adversarial attacks that fool models, data poisoning that corrupts training, model inversion that extracts private data, and prompt injection that hijacks LLM behavior. Specialized expertise is required.

What is adversarial machine learning?

Adversarial machine learning involves crafting inputs specifically designed to fool AI models into making incorrect predictions. These attacks can be used to bypass security systems, manipulate recommendations, or cause autonomous systems to malfunction.

How does CyberLite address LLM security?

We assess LLMs for prompt injection vulnerabilities, jailbreaking susceptibility, data leakage risks, and unauthorized capability exploitation. We also help implement guardrails, monitoring, and access controls for production LLM deployments.

What is the EU AI Act and how does it affect my business?

The EU AI Act is a comprehensive AI regulation that classifies AI systems by risk level and imposes requirements for high-risk applications. CyberLite helps businesses assess their AI systems' risk classification and implement required technical and governance measures.

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Ready to Get Started with Cybersecurity for AI?

Schedule a free consultation to discuss your specific needs and how our Cybersecurity for AI service can protect your organization.

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