EWF 2019

We are currently witnessing the many changes that AI & ML can bring to a variety of industries. In particular, it is exciting to note the growth of AI & ML in the risk, security compliance, and threat and vulnerability management space. This rapidly evolving industry is now exploring the use of AI & MLbased products to enhance and transform security compliance.
One huge advantage of using ML is that it makes data labeling imperative, which thereby delivers several benefits to an organization. Automating the labeling of data elements leads to the exploration of opportunities to use ML. This can increase our understanding of the full landscape of an organization’s environment and prepare for potentially bigger usage in the future.
Using AI & ML, it is possible to automate actions for patterns that can be recognized and predictable events, which can lead to enhanced alert management. Beyond this, AI & ML can play a significant role in reducing both false positives and the noise of the superfluous or erroneous findings. This is beneficial as it allows professionals to focus on what is actually important for their organization to address.
Securing applications with AI & ML and ensuring their compliance comes with its own challenges. This includes dealing with legacy systems, old tools and frameworks, and/or stakeholders who may not completely understand security issues prevalent in current systems. There are also security risks to which these ML systems are susceptible, such as tampering with the data model or feeding garbage data to the ML model. Powerful applications that use AI, ML and deep learning to enhance their performance face the imperative challenges of encompassing security and compliance, which requires deep knowledge of the technical environment and all that it supports.