Insider risk management is prone to encounter obstacles such as insufficient data, employee privacy, massive and complex records that are difficult to analyze, and other obstacles.

Collect more than 40 kinds of user and system activity records through endpoints, and use AI-powered (ChatGPT) automatically analyze users’ abnormal and potentially risky behaviors, including: using computers to connect to suspicious websites during non-working hours, and suspected of uploading internal files; connecting to non-company network (such as mobile phone hotspots); chatting on IM and emailing files may have confidential data which are suspected of leaking; before employees resign, they copy a large number of files to USB storage drives and then delete them.

Without human observation and bias, AI can be used to quickly analyze and respond to potential risks, protecting company assets while respecting employee privacy and work processes.

Data protection plays a vital role in meeting CMMC (Cybersecurity Maturity Model Certification) compliance. CMMC is an information security standard that regulates the Defense Industrial Base (DIB). It aims to strengthen security measures for information transmission and use in the supply chain to ensure that confidential information is properly protected between contractors. Although the supply chain may not be directly related to national defense, it cannot avoid contractual constraints. When pursuing CMMC compliance, organizations should take a comprehensive approach that spans people, processes, and technology to build a resilient cybersecurity infrastructure that can adapt to evolving threats and protect confidential information.