Artificial Intelligence (AI) isn’t necessarily a new technology, but it’s been perceived more as a work of futuristic science fiction than a mainstream approach to improving business operations. That is, until recently. In the past couple of years, AI has made a big appearance in mainstream business as more software vendors begin to harness the capabilities of this technology to add cutting-edge improvements to their solutions.
One of the industries that is leveraging AI heavily (and with much innovation) is Enterprise Security. The language and learning capabilities inherent in AI have been built into security suites to enhance protections and create new tools that defend against the very cyber threats that have been so rampant and devastating in recent years. But alongside AI innovations in security, there’s also a new set of risks to contend with as well.
Here’s closer examination of four main ways AI is positioned to redefine Enterprise Security in the next year or two and a look at some of the risks that will need to be dealt with along the way.
Industry leaders like IBM and Microsoft have been in the press recently, unveiling the incorporation of AI into their Enterprise Security suites as a supplemental defense against hacks and other cyber threats. One of the most notable improvements that AI technology is proposed to make is enabling prevention of future hacks and mitigating threats, essentially before they happen.
This shift from reactive security to proactive protection is quite revolutionary and is expected to bring massive change to how systems, machines, and people are protected online. AI tools have been developed that can identify and resolve known malware in circulation before it invades a machine or entire system. AI is also being used to learn hacking patterns and make predictions about threats as they’re developing, not just after they’ve already occurred, and irreparable damage is done.
The rate at which modern cyber security threats develop and then morph to evade defenses is alarming and has been challenging those in the IT community for years. AI is positioned to give more controlled, proactive defense measures and help IT professionals mitigate risk in more substantial ways.
Another large advantage of AI being heavily leveraged in the security software industry is automation. AI’s learning capabilities and automation functionalities create a powerful duo for streamlining business processes, and compliance is expected to become much more simplified as AI applications in security become more robust.
AI technology paired with advanced security systems and protocols is creating the possibility of ingrained security measures. With such measures in place, security systems will be able to prevent threats and block cyber threats more effectively. A system that is automatically detecting and eliminating risks, and learning to predict future trends and risks developing opens up your business to more growth opportunity. With your mind at ease regarding the security of your systems, more focus can be put on growth initiatives to move your business forward confidently.
While the union of AI and Enterprise Security software has game-changing potential for all types of businesses, like any innovation it also comes with a new set of risks. AI is just a technology after all, and it’s where human minds apply it that will shape impact. In the wrong hands, AI could actually work against security measures and protocols already in place.
Some of the early risks include:
Like what you just read? At Wheelhouse, we are passionate about all things software, and our specialty is connecting software buyers to an enterprise solution that perfectly matches their needs.
Please visit our Security Software page for a complete list of all the solutions we have on offer. Need more help? Drop us an e-mail at email@example.com and we’ll be happy to assist you!