Published: 17 January 2024
The speed and veracity of targeted cyberattacks are outpacing defenders, driving a shift to predictive security. Product leaders should evaluate the opportunities and challenges AI-based predictive security will bring to their product strategy.
Predictive security is not an exact science, but it is improving fast.
Increased reliance on internet-facing digital assets, along with threat actors’ ability to leverage aspects of AI (such as generative AI), increase opportunities for exploitation. This drives the need for more concerted efforts to automate security with AI-based capabilities focused on prediction.
Exposure management, threat intelligence (TI) and cybersecurity validation techniques are key to predictive security.
Product leaders seeking to take advantage of the advancements in predictive intelligence must:
Avoid underestimating the issue of false positives as they develop predictive security capabilities, since reliability is still being tested in this
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