Generative AI: Why It’s Time to Secure Your Data Pipeline On-Demand Webinar

AI and Machine Learning in the enterprise promise to unlock new value and provide superior insight, for enhanced decision-making and better, more consistent outcomes. But they also bring new risks: risks to data integrity, privacy and effectiveness. Because hackers aren’t interested in your apps… they’re after your data. And AI generates massive amounts of it, all unstructured… a prime target for cyberthreats, including ransomware, encryption exfiltration, and poisoning. With AI, you need to secure both your production data and your data pipeline – your data’s chain-of-custody, as it were – to ensure its availability… and integrity. Unfortunately, traditional approaches to storage security no longer cut it. Superna CTO Andrew MacKay and VP of Presales Engineering Derek Manning discuss the theory and real-world benefits of cyberstorage: storage-integrated active defense technologies that provide automated remediation and recovery. It’s protection by design instead of relying on traditional backups, and helps to close the data security gap left by traditional approaches to protection of stored data.