Secure AI systems end-to-end. AI introduces new attack vectors that traditional security doesn't cover. A comprehensive framework protects against prompt injection, model theft, and adversarial attacks.
An AI security framework is a comprehensive set of policies, controls, and practices designed to protect AI systems from emerging threats. It addresses vulnerabilities unique to machine learning models, including prompt injection, data poisoning, model theft, adversarial attacks, and unintended data leakage.
The framework covers the entire AI lifecycle from data collection and model training through deployment and monitoring, integrating with existing cybersecurity infrastructure while addressing AI-specific risks.
Defend against prompt injection, jailbreaking, model extraction, and other attacks that target AI systems specifically.
Protect proprietary models and training data from extraction and unauthorized replication.
Detect and prevent data poisoning and adversarial inputs that could corrupt model behavior.
Build confidence with customers and stakeholders by demonstrating robust AI security practices.
Filter and sanitize prompts to prevent injection attacks and malicious inputs.
Restrict model access, rate limiting, and authentication to prevent unauthorized use.
Detect and mitigate adversarial inputs designed to manipulate model outputs.
Continuous monitoring for unusual behavior, data drift, and potential attacks.
Encrypt and protect model weights, training data, and configuration files.
Scan model outputs to prevent leakage of sensitive data or harmful content.
No AI-specific security controls. Relying solely on traditional cybersecurity measures. No awareness of prompt injection or model theft risks.
Basic input filtering and rate limiting. Some model access controls. Limited monitoring for adversarial attacks.
Comprehensive AI security framework with input validation, adversarial defense, model monitoring, secure storage, and output filtering. Regular security assessments and red team exercises for AI systems. Integration with enterprise security operations.
Get expert help building a comprehensive AI security framework that protects against emerging threats and vulnerabilities.