Of Robots and Response Times: Automating Cybersecurity Analysis
Over the past two and a half years, both the sophistication and frequency of cybersecurity attacks assaulting organizations has risen dramatically. Operating at sub-detectable levels, today's hackers launch long-term assaults on entire industries, sharing data and exploiting weaknesses to penetrate network defenses. Establishing a more robust means of responding to these advanced persistent threats (or APT) requires a new model for looking at cybersecurity data. In this talk, we will explore how deep learning can be used to predict not only when these attacks are underway, but also how they propagate through markets and industries, and how cybersecurity professionals can reduce the time to both detection and response through the use of an automated prediction approach to breach mitigation.
Kevin is the CEO and founder of GreatHorn, his 6th startup. He has been working within the cybersecurity industry since the late 1990s, with a focus on penetration analysis and security within automated and complex infrastructure. He speaks and writes frequently on how security is evolving in response to today's complex business and technology ecosystems, especially within highly regulated industries such as healthcare, retail, and financial services, and has published multiple papers on threat classification automation, cloud security, and the establishment of anti-social-engineering firewalls.