Secure Your AI Systems Against Emerging Threats
Make AI Security Simple
Real-time Safeguards
Establish a real-time defense against cyber attacks for your AI systems.
Identify Attacks Targeting Your AI Systems
Identify and block malicious activity in real-time.
Comply with Regulations
Ensure your AI systems comply with relevant regulations and standards.
Key Features
Prompt Injection & Jailbreak Prevention
Direct prompt injections are adversarial attacks that attempt to alter or control the output of an LLM by providing instructions via prompt that override existing instructions.
Meta Prompt Extraction Prevention
Meta prompt extraction attacks aim to derive a system prompt which effectively guides the behavior of a LLM application.
Data Exfiltration Prevention
Techniques used to get data out of a target network. Exfiltration of ML artifacts (e.g., data from privacy attacks) or other sensitive information.
Data Poisoning Prevention
Data poisoning is the deliberate manipulation of training data in order to compromise the integrity of an AI model.