AI Security Guide Protecting AI Systems, LLMs and Enterprise Infrastructure
The enterprise guide to securing artificial intelligence systems. From prompt injection defense to AI governance frameworks, this resource covers what your organization needs to deploy AI safely and compliantly. Written by a team that operates its own AI inference fleet.
Four Dimensions of AI Security
AI security goes beyond traditional cybersecurity. It requires protecting the entire AI lifecycle from training to deployment.
Infrastructure and Model Security
- GPU clusters, model registries, vector databases, and API gateways hardened against attack
- Model weights, training pipelines, and fine-tuning data protected from adversarial manipulation
- Secure RAG architectures with access controls on knowledge bases
Data and Governance
- Training datasets and vector embeddings secured against extraction and poisoning
- EU AI Act, NIST AI RMF, and emerging regulatory compliance
- AI SBOM (Software Bill of Materials) for ML pipeline transparency
Critical AI Security Risks
The OWASP Top 10 for LLM Applications is the de facto standard for understanding AI/ML security threats.
Prompt Injection
Adversarial inputs that override model instructions. The single most exploited LLM vulnerability in production today.
Insecure Output Handling
Downstream systems that trust LLM output without validation, turning the LLM into an injection vector for XSS and SQL injection.
Training Data Poisoning
Corrupted training data that manipulates model behavior. Affects both pre-training datasets and fine-tuning data.
Model Denial of Service
Resource-intensive prompts that degrade model availability. Crafted inputs can cause excessive compute consumption.
Supply Chain and Permission Risks
Vulnerabilities in third-party models, plugins, and training data. Excessive agency granted to LLM-driven agents.
Data Leakage and Model Theft
Sensitive data exposed through model responses. Proprietary model weights and architectures extracted through API access.
How to Secure Your AI Systems
Inventory all AI assets, models, and data pipelines
Assess risks using OWASP Top 10 for LLMs framework
Implement input validation and output sanitization
Secure RAG pipelines with access controls and encryption
Conduct AI red teaming and adversarial testing
Establish AI governance policies and continuous monitoring
Related AI and Security Services
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Frequently Asked Questions
What is AI security?
AI security is the discipline of protecting artificial intelligence systems, their data, and their infrastructure from adversarial attacks, misuse, and unintended behavior. It covers the entire AI lifecycle from training data collection through deployment, monitoring, and decommissioning.
What is prompt injection?
Prompt injection is an attack where adversarial inputs override an LLM's instructions. Direct injection manipulates the prompt itself, while indirect injection embeds malicious instructions in external data the LLM retrieves. It is the most exploited LLM vulnerability in production.
Does PTG operate its own AI infrastructure?
Yes. We operate our own AI inference fleet running open-source models on NVIDIA GPU hardware using platforms including ollama, vLLM, and llama.cpp. This hands-on experience means we understand the real attack surface of enterprise AI deployments.
What AI governance frameworks should my organization follow?
Key frameworks include the EU AI Act, NIST AI Risk Management Framework (AI RMF), and the OWASP Top 10 for LLM Applications. We help organizations build governance programs aligned to these standards. Read more about our NIST compliance services.
How do you secure RAG (Retrieval-Augmented Generation) systems?
We implement access controls on knowledge bases, input validation on queries, output filtering, encryption of vector embeddings, and audit logging. Our RAG implementation services include security architecture from day one.
Can PTG help with an AI security assessment?
Yes. We conduct AI security assessments covering your model infrastructure, data pipelines, access controls, governance policies, and compliance posture. Contact us to schedule an assessment.
Secure Your AI Systems Today
Get an AI security assessment from a team that operates its own AI infrastructure and has 23+ years of cybersecurity experience.