Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every day more than 2 billion documents and emails are added to Microsoft 365, making this critical data a priority target for ransomware and other cyber attacks. After all, 61% of attacks affect SaaS applications, the most targeted platform / environment. This data can also often be unstructured, and rapidly processing and managing the content at enterprise scale is critical when it comes to both applying protection and performing restores.

What if a malicious attack deleted your Microsoft Entra ID (formerly Azure Active Directory) objects? Or what if hundreds of objects get deleted across your Microsoft OneDrive account from a rogue script? Think about it. If you’re a large enterprise customer, would you be prepared to rapidly recover from these scenarios at scale?

The explosion of interest in artificial intelligence (AI) and specifically large language models (LLMs) has recently taken the world by storm. The duality of the power and risks that this technology holds is especially pertinent to cybersecurity. On one hand the capabilities of LLMs for summarization, synthesis, and creation (or co-creation) of language and content is mind-blowing.

Over the past year, we’ve been building something new for Calico Cloud that’s aimed at helping anyone who is charged with improving the security of their Kubernetes clusters. I’m excited to announce that Calico Cloud is releasing new capabilities for security posture management called Security Scoring and Recommended Actions.