AI-Powered Security: Gaps That Enterprises Need To Consider

Melissa Burns

While artificial intelligence and machine learning are the technologies that have an enormous potential to solve various cybersecurity problems, several flaws are becoming more notable as these technologies are evolving. Is artificial intelligence the right and only answer to numerous issues we’re facing in today’s word, from anti-malware and anti-hack defenses to minor technical issues?

Expecting that such automated systems have fast, efficient rules for detecting billions and billions potential cybersecurity attack vectors is a bit over the top. Using machine learning models for high-powered pattern recognition, on the other hand, could be very useful in detecting any type of suspicious behavior and activating countermeasures in real time.

When we’re talking about AI, we’re usually neglecting all the requirements it needs to be efficient. What can we expect from these technologies shortly, when you place them in a real-life scenario instead of talking about it hypothetically?

The potential of automated technological solutions

Machine learning is often being mentioned as the path to a secure digital world; however, many cybersecurity specialists are already warning us that this technology has several vulnerabilities. For instance, it fails to deter zero-day attacks as you can’t trail a machine learning model to detect a threat which has never happened before, and there are no historical records of it. Moreover, if the normal attack vector is too broad, it could lead to blocking an enormous number of legitimate behaviors because the ML model assumes it’s a cybersecurity attack.

We have to keep in mind that these cybersecurity programs which embed machine learning algorithm are only able to learn from the reference data they have. If you’ve fed your program with data which doesn’t fully correspond with your environment, the program will fail to detect and block numerous actual cybersecurity attacks.

However, saying that these technologies are too flawed to be useful would be an overstatement. Both artificial intelligence and machine learning have the ability to protect our data, and even our entire businesses better than anything before. But, by ignoring all these flaws that need to be corrected on time, we’re taking away a lot of value these technologies have to our society.

Privacy and security concerns

The more technologies we use, the more we are learning to store everything that’s valuable online. So, as technology in general evolves, the number of privacy and security concerns will grow. After all, we live in a digitally connected world, which opens us more than just possibilities actually to connect with each other; it makes us vulnerable to all sorts of attacks. One of the growing concerns is connecting to the Internet.

VPN servers have come to the forefront as an efficient solution for users needing layered protection in their digital presence. Account hacking while being connected to third party networks is, unfortunately, more and more common. The rapid improvement and evolution of security technologies are therefore crucial to our digital well-being. Hacking your accounts while you’re connected to other networks which are not your own is, unfortunately, the common thing to happen today. That’s why it’s crucial to evolve all these various technologies to provide us with exactly what we need.

Changing innovation landscape

The rise of artificial intelligence and machine learning is tremendously changing the innovation landscape. The eruption of digitalization is already transforming all these various industries, and we see so many new jobs created. As the job market changes with these new professions, it’s vital that individuals who are skilled and educated in managing such sophisticated technologies start working on them. From analysts to engineers, the digital market is in serious demand of professionals who will contribute to making a safer digital environment.

These technologies will also shape fields like marketing. The idea of advertising will be improved with AI by investing in programmatic advertising. Instead of spending an enormous amount of money on your digital marketing team, programs, tools, and ads, businesses will invest in programmatic advertising, the automated decision-making process of media buying by utilizing data and predicting the best advertising opportunities.

When talking about advertising, we can’t forget to mention search engine advertising as well. As some are even predicting it will surpass video, social network and advertising banners, search engine advertising will be one of the major trends in 2020. Combined with behavior-based segmentation, I could significantly optimize ad spending and help businesses invest their money where it will be beneficial for them.

Final thoughts

Undoubtedly, all these new technologies have enormous potential; however, their utilization and benefits businesses and entire society can enjoy will depend on humans. In other words, artificial intelligence and machine learning can’t bring us anything valuable if we don’t program them to do that first. For that, the job market must have professionals with adequate skillset who will continue evolving these technologies and correcting their flaws if we want to enjoy benefits from them in the future. As 2020 will be a year hugely determined by AI and machine learning, the only question is if we’re ready to utilize it the best way possible.

For more on how emerging technology can advance security, see 4 Reasons Data Protection, AI, and IoT Are Changing The Cloud And IT Security.

Melissa Burns

About Melissa Burns

Melissa Burns is an entrepreneur and independent journalist. She spends her time writing articles, overviews, and analyses about entrepreneurship, startups, business innovations, and technology. Follow her at @melissaaburns.