Times are listed in EDT. Schedule is subject to change.
Enabling Autonomous Cybersecurity opens with a look at how the first, at-scale enterprise use of AI can spot threats in real-time and identify vulnerabilities before they surface. Walk through a unique demo that showcases how machine learning technology can leverage voice recordings to craft highly precise, targeted deepfake messages and what this means for the wider security landscape.
Go behind-the-scenes into two world-class cyber research labs to explore the emerging tools, models, and techniques being developed to combat cyber crime. With digital transformation accelerating to cover new ways of working, what ideas are being explored, and what impact will it have on the businesses of today and tomorrow? Exciting new developments include cloud-native delivery, marking a significant shift from hardware; client sensors for visibility, whether on or off the VPN; and one-click integrations.
Innovations in the mobility sector are not limited to autonomous driving. The sector is continually transforming, thriving on interconnectivity and sharing, using data as a currency to continually improve. This fireside chat explores how to balance the pursuit of digital expansion with risk mitigation, discussing data sharing and connectivity, physical threats, and supply-chain attacks.
Bring your questions from earlier sessions and join the speakers offstage for an interactive, moderated Q&A discussion.
As machine learning applications move into the mainstream, a new era of cyber-threat is on the horizon – one that uses offensive AI to supercharge attack campaigns. Offensive AI allows attackers to automate reconnaissance, craft tailored impersonation attacks, and even self-propagate to avoid detection. Security teams can prepare for this eventuality by turning to defensive AI to fight back – leveraging autonomous cyber defense that learns on the job to detect and respond to even the most subtle indicators of an attack, no matter where it appears.
This conversation explores current and emerging applications of offensive AI, defensive AI, and the ongoing battle of algorithms between the two.
The coronavirus pandemic clearly hit healthcare organizations in an unparalleled way, including opening them up to extreme vulnerability in the security space. From threats, to vaccine research and delivery, to fundamental shifts in infrastructure and working practices, healthcare businesses faced - and continue to face - a difficult challenge. Seeking to maintain ‘business as usual’ in a politically charged landscape, the pandemic underscores the necessity to deploy state-of-the-art artificial intelligence to stay ahead of cyber-thieves by leveraging autonomous response and protection.
The speed and scale of sophisticated cyber-attacks is rapidly increasing. As the cybersecurity industry continues to endure an ongoing skills shortage, over-worked and under-resourced teams urgently need augmentation to defend against evolving, sophisticated, and persistent threats. For over three years, Darktrace experts have been working to meet this challenge, investigating whether they could teach AI to think like a cybersecurity analyst. It takes subtle, nuanced skills and implicit knowledge for an analyst to detect genuinely threatening activity and the creation of the world-first Cyber AI Analyst, which analyzed over one hundred of the world’s top threat analysts and complex machine learning algorithms.