Future of Connectedness: Collaborating in the New Reality

Among its many benefits to cybersecurity, Artificial Intelligence (AI) can identify patterns in massive amounts of data, enabling it to detect trends in malware features and make threat classifications much more rapidly than humans can. An AI-based virtual security operations (SecOps) analyst can rapidly detect and respond to security incidents, assisting human analysts and enabling them to operate at a higher level. AI-powered cybersecurity technologies such as this can be a boon to short-staffed security teams affected by the global cybersecurity skills gap.

Today cyber is no longer a human-scale problem due to the vast amounts of data points being generated and collected by solutions combined with the ever accelerating rate of expansion of the attack surface. Cyber teams are under more pressure, fatigued, and the consensus is that being breached is a matter of when, not if. Still, well-meaning teams create a lot of work for themselves -and crucially, the business- that overall isn’t helpful nor scalable. Contextualization, algorithmic decision-making (leveraging AI) and automation are tools the forward-looking security and IT professionals and executives have at their disposal to safeguard the trust of their stakeholders, to overcome the administrative burden, alert fatigue and to maintain regulatory compliance.

This session will introduce our audience on how to bring a critical eye to Dx initiatives and intelligent automation. Many Dx initiatives fail because of the belief that deploying innovative ICT tools and technologies will solve all inefficiencies. But, since they are only part of the equation, having the right plan of attack and vision are necessary to achieve the strongest business outcomes.