The ongoing Digital Transformation has already made a profound impact not just on enterprises, but our whole society. By adopting such technologies as cloud computing, mobile devices or the Internet of Things, enterprises strive to unlock new business models, open up new communication channels with their partners and customers and, of course, save on their capital investments.
For more and more companies, digital information is no longer just another means of improving business efficiency, but in fact their core competence and intellectual property.
Unfortunately, the Digital Transformation does not only enable a whole range of business prospects, it also exposes the company's most valuable assets to new security risks. Since those digital assets are nowadays often located somewhere in the cloud, with an increasing number of people and devices accessing them anywhere at any time, the traditional notion of security perimeter ceases to exist, and traditional security tools cannot keep up with the new sophisticated cyberattack methods.
In the recent years, the IT industry has been busy with developing various solutions to this massive challenge, however each new generation of security tools, be it Next Generation Firewalls (NGFW), Security Information and Event Management (SIEM) or Real-Time Security Intelligence (RTSI) solutions, has never entirely lived up to the expectations. Although they do offer significantly improved threat detection or automation capabilities, their “intelligence level” is still not even close to that of a human security analyst, who still has to operate these tools to perform forensic analysis and make informed decisions quickly and reliably.
All this has led to a massive lack of skilled workforce to man all those battle stations that comprise a modern enterprise’s cyber defense center. There are simply not nearly enough humans to cope with the vast amounts of security-related information generated daily. The fact that the majority of this information is unstructured and thus not available for automated analysis by computers makes the problem much more complicated.
Well, the next big breakthrough promising to overcome this seemingly unsolvable problem is coming from the realm of science fiction. Most people are familiar with the so called cognitive technologies from books or movies, where they are usually referred to as “Artificial Intelligence”. Although the true “strong AI” comparable to a human brain may still remain purely theoretical for quite some time, various practical applications of cognitive technologies (like speech recognition, natural language processing, computer vision or machine learning) have found practical uses in many fields already. From Siri and Alexa to market analysis and law enforcement: these technologies are already in use.
More relevant for us at KuppingerCole (and hopefully for you as well) are potential applications for identity management and cybersecurity.
A cognitive security solution can utilize natural language processing to analyze both structured and unstructured security information the way human analysts currently do. This won’t be limited just to pattern or anomaly recognition, but proper semantic interpretation and logical reasoning based on evidence. Potentially, this may save not days but months of work for an analyst, which would ideally only need to confirm the machine’s decision with a mouse click. Similarly, continuous learning, reasoning and interaction can provide significant improvement to existing dynamic policy-based access management solutions. Taking into account not just simple factors like geolocation and time of the day, but complex business-relevant cognitive decisions will increase operational efficiency, provide better resilience against cyber-threats and, last but not least, improve compliance.
Applications of cognitive technologies for Cybersecurity and IAM will be a significant part of this year’s European Identity & Cloud Conference. We hope to see you in Munich on May 9-12, 2017!
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