In this AI Ecosystem Report, CISO Chris Hughes, an Acceleration Economy practitioner analyst, sits down with Elizabeth Harz, CEO, Veriato, and discusses how her company uses GenAI to advance insider risk management and enhance cybersecurity strategies.
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Highlights
Predictive Security Tools (00:26)
Veriato is on a mission to help companies be both productive and safe. It does that by helping businesses understand human behavior and get ahead of insider threats. Insider risk has been around for a while. According to Gartner, about 82% of breaches last year were caused by insiders.
Veriato recently acquired a user activity monitoring (UAM) and productivity offering. The combination of that offering with Veriato’s 25 years of history in the Insider Risk Management (IRM) sector is helping its customers get predictive and preventative, instead of reactive.
Veriato’s Key Use Cases (03:06)
Veriato sees many different applications of its technology, but a few core ones. Certainly, insider threat detection is one. Productivity monitoring is another big bucket. Many of its customers also use it for compliance. Lastly, customers use it for remote workforce monitoring, in particular understanding productivity and their organizations’ dynamics.
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Differentiating with GenAI and Predictability (05:26)
In general, the tone in the insider risk management space is shifting more toward predictability. However, when you evaluate these platforms, there aren’t features in the market providing that. Because Veriato acquired this UAM offering recently, it was able to incorporate GenAI capabilities in its next release of the combination of IRM and UAM.
Generally, risk scoring is more simplistic. Using GenAI allows the offering to digest vast amounts of data and dynamically update individual risk behavior profiles. Instead of static risk scores, Veriato now has sophisticated anomaly detection and can flag issues much faster. It also uses GenAI for protected health information (PHI) and Personally Identifiable Information (PII) redaction.
Dynamic Risk Profiles and Employee Education (07:49)
Veriato goes about understanding human behavior specific to an organization by looking at a long list of variables, such as the websites people use, the hours and time of day they log in, the applications they use, and sentiment analysis of their language. All these factors are fed in real-time, and it dynamically updates risk profiles. This allows it to flag important issues instead of relying on static scores.
The emphasis on predicting and monitoring for malicious behavior while also safeguarding against non-nefarious actions by employees is important because employees might not realize their actions are risky, so it’s essential to serve as a guardrail and educate them about behaviors that could put the organization at risk.
