Keeping Your Organization Secure: The Impact of Artificial Intelligence and Machine Learning on Identity & Access Management
- TYPE: Innovation Talk DATE: Tuesday, November 13, 2018 TIME: 19:00-19:10
Many of the world's largest enterprises realize that cybersecurity is one of their biggest threats. A large amount of worldwide employees and contractors makes them particularly vulnerable. The importance of a clever identity & access management (IAM) strategy has never been more important for today's organizations.
The direct correlation between the risk of a cybersecurity breach and the IAM maturity of the organization puts IAM high on the agenda of corporate executives.
Apart from being a critical part of the security plan, also the government puts a lot of pressure on enterprises by holding them accountable for correctly controlling access. For every highly-regulated enterprise, IAM is a crucial part of regulatory compliance. Just think regulations such as SOX or GDPR.
Successful IAM programmes require forethought and collaboration across many departments. The result is that IAM involves many employees throughout the organization including line managers, application owners, compliance managers, and risk managers.
However, customers tell us that many of their employees suffer from security fatigue, because of the high amount of technical data, the difficulty in making the right decisions, and the lack of relevance with their day-to-day job.
This situation leads to a lot of frustration and wastes a lot of time and money. It also hurts security, given that the most damaging security threats are not always originating from malicious outsiders, like criminal hackers, but from trusted employees or contractors. Finally, enterprises risk losing compliance or getting seriously fines.
While this situation is commonplace in many enterprises, it doesn't have to be.
By applying technologies such as data analytics and machine learning to IAM, enterprises can mature from overly-technical access management to access management that also the business understands. Analytics and Artificial Intelligence can provide focus and contextual insights so that employees can spend their precious time on the riskiest parts.
Taking it a step further, these technologies even provide ways to learn new insights, automate processes and drastically speed up the existing IAM compliance controls. They can detect anomalies and potential threats, without the need for a large team of security experts. It gives employees, both technical and non-technical, the means to focus on decisions that have the highest impact.
Especially in the area of anti-money laundering and fraud detection, but also in the area of combating insider threat, such progress is crucial. It paves the way to move from reactive access management to preventative or even corrective access management. This results in enterprises being continuously in control, continuously secure and continuously compliant.