Securing the World's AI
Real-time input-output filtering that protects user privacy and gives developers unbreakable control over their AI applications.
Real-time input-output filtering that protects user privacy and gives developers unbreakable control over their AI applications.
Vulnerabilities and misuse are not hypotheticals. ChatGPT connectors have been used to exfiltrate data from users' Google Drive, and Claude has been used to carry out large-scale cyberattacks. We need a safe and reliable rollout of AI which protects user privacy and gives developers unbreakable control.
Our input-output filtering catches harmful inputs in real-time, blocking prompt injections, data poisoning, and attempted exfiltration before they can cause damage.
Builders and developers can specify how they expect their system to behave, and have this enforced automatically. Data leakage, harmful outputs, and factual inaccuracies are caught at run-time and blocked.
We provide input-output filtering for deployed AI, emphasizing security against attacks and developer control. Prompt injection, data poisoning, and attempted exfiltration are caught in real-time, blocking these attacks and alerting humans in the loop where needed.
When powerful AI systems are deployed, it isn't enough to patch issues days after discovery. Stopping issues in real time requires visibility over all areas where models can be misused or failing.
Real-time classification and monitoring of prompts to detect injection attempts, data poisoning, and malicious inputs before they reach your models.
Automatically block outputs that violate developer-written constitutions. Catch data leaks, PII exposure, and harmful content before it reaches users.
Building a comprehensive, open-source database of AI weaknesses and vulnerabilities, and calling for public contributions, giving us persistent information advantage on AI misuse.
Modern cybersecurity is built on projects such as the Common Vulnerabilities and Exposures (CVE) list and the National Vulnerability Database, allowing researchers to share knowledge and coordinate security efforts.
By open-sourcing a database of AI weaknesses and vulnerabilities, we build a powerful proprietary edge while helping actors around the world build safer and more reliable AI systems. Cloudflare isn't trusted to catch DDoS attacks just because of technology quality—the more services using their platform, the better their real-time threat detection. The largest player in AI security becomes exponentially more valuable as coverage grows.
Reach us to secure your AI systems and explore partnerships. Get real-time protection for your deployed AI applications.