Perplexity in Threat Detection: Measuring Uncertainty in Cybersecurity | The Digital Edge Podcast
In this episode of the Digital Edge Podcast --- where tech meets transformation --- we explore a crucial and often overlooked dimension of cybersecurity: perplexity in threat detection.
As cyber threats evolve at an unprecedented pace, organizations must move beyond traditional defenses and embrace smarter, data-driven approaches. We unpack how perplexity --- a metric that quantifies uncertainty in predictive models --- is helping security teams evaluate detection accuracy, identify anomalies, and refine machine learning systems to better detect phishing, fraud, and sophisticated attacks.