Augmented Intelligence’s impact on Cybersecurity and Critical Infrastructure
The AI evolution into security and risk has been evolving. AI, initially referred to as Artificial Intelligence, is now better referred to as Augmented Intelligence. This session delivered solo (or as a panel with experts from Corporations, Universities and Law Enforcement) will briefly review where AI and Machine Learning have made their greatest impact on cybersecurity, related statistics from a recent Ponemon Institute study, the future of IA, and how it’s growing pains are being addressed in bias and trust.
Learning Objectives
- Correlate the latest attack vectors and innovative security approaches to the recent Ponemon Institute’s “Cost of Data Breach 2021 Report” and Outline costs and cost savings attributed to security techniques in machine learning/cognitive security, behavioral anomaly detection and automated response, and differences in various industries/government.
- Discuss cutting-edge advancements in AI and behavioral anomaly detection and response to combat and circumvent Cybersecurity attacks
- How bad actors effectively mine information and gain access to infrastructure and records, how accessible and low-priced the tooling are
- Trust and Bias aspects in AI
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