The next session at Zscaler ’24 was on AI for risk management and automation innovations.
Raj Krishna, SVP, Product New Initiatives, Zscaler, spoke regarding Uber. Zscaler has assessed how much data needs to be stored. managed, and kept relevant. How do you keep algorithms and calculations relevant? What are the audit, compliance, and operational requirements? How do we integrate all this data with other risks across businesses? We need to build risk visualizations. Who owns the platform, tools, and operators?
A live demo of Risk360 was shown. Eg., a risk score is 36, which is medium. There are contributing factors to organizational risk scores. Eg., known vulnerabilities, etc. There may be exposed servers. We are trying to leverage power of data fabric. Another example is presence of botnets. We will be launching a new Zscaler product soon.
We can also have a deception strategy. Attackers can leave risk signals from attacks. We can check where the attacker is coming from. We can also create identity risk scores. We can check accounts with more permission. Banks are using this to discover threats in their…
