The significant threat of cybercrime and ransomware requires security and information teams to work together to find and control data and reduce the likelihood and impact of breaches.
To secure data, you need tools that can automatically identify sensitive high-risk data at scale. The RecordPoint platform uses AI and ML to automatically analyze and classify records and then flags for secure retention or disposal based on content in files and records.
Every piece of information you store and every bit of complexity you add comes with a security cost. Rather than waste resources attempting to secure ever-expanding data sets and data sources reduce the amount of data open to attack.
Data breaches are becoming more common, and how you respond can go a long way to minimize the impact. With continuous data inventory, classification, and minimization through RecordPoint, you can know exactly what type of information was breached and respond accordingly.
Ensure compliance with essential privacy and security regulations
It’s not possible to make good data decisions if you can’t appropriately classify and understand your data. Scalable, consistent, and accurate governance enables teams to solve the data privacy challenge.
What does the NYC records commissioner think about AI?
AI brings greater accuracy for records managers, according to Pauline Toole, NYC Department of Records commissioner. Read more insights based on her appearance on FILED
Can ChatGPT and other large language models streamline records management?
Large language models like ChatGPT hold enormous promise for records management, streamlining records management tasks like text classification and making it easier to ensure compliance