What is your data security risk in cloud apps like Slack, Google Drive, Zendesk, GitHub, and Microsoft Teams? Get a free scan to learn more.| Polymer
Explore the obstacles in front of DLP for AI solutions, why context matters, and how to get started with cloud DLP| Polymer
Discover why traditional training isn't enough to stop generative AI data breaches. Learn how active learning can create a culture of securi| Polymer
Learn how to leverage AI to classify unstructured data, streamline compliance, and overcome the human factor.| Polymer
Generative AI isn’t just for innovation—cybercriminals are using it too. Discover 4 types of AI-powered attacks, from phishing emails that are hard to spot to malware that evades detection.| Polymer
Human error-driven breaches highlight the faults in traditional security training. Explore active learning to fortify internal defenses.| Polymer
DLP isn't just about protecting data—it's a game-changer in proactive risk control. Dive into the critical role it plays against regulatory pitfalls.| Polymer
Aims to educate developers, designers, architects, managers, and organizations about the potential security risks when deploying and managing Large Language Models (LLMs)| owasp.org
On July 26, 2024, NIST released NIST-AI-600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. The profile can help organizations identify unique risks posed by generative AI and proposes actions for generative AI risk management that best aligns with their goals and priorities. | NIST