- April 5, 2019 at 14:40 #2595
2018 was a significant year for the tech industry with several technological innovations and advancement that thrilled both the insiders and spectators. Serious innovations like neural networks, the blockchain, and Artificial Intelligence were the major headlines with their life-changing capabilities and for a good reason. The innovations can be used in every aspect of our lives from advancing businesses to improving public services. It has also introduced new chances for innovation and disruption.
While this technology has come with tremendous benefits, security challenges have not been left behind. Security threats are always encroaching new technologies to try and establish vulnerabilities. For example, although blockchain has revolutionized businesses, it has vast vulnerabilities and high levels of hacks and attacks. On the other hand, the supply chain, which has upgraded precision and communication, remains open to highly dangerous attacks.
To curb the security threats targeting these innovations, new solutions are discovered daily. Security professionals and IT departments should be on the lookout for the introduction of new tools to protect themselves from cyberattacks. Below are the top security trends you should be following going forward.
Predictive cyber protection gets a boost with AI
Analytics has become an integral part of several companies’ technological infrastructure. Advancement in AI and predictive analytics offers an organization the opportunity to diagnose and understand its security in real time. One area that has received a major boost in terms of security is preventing money laundry and fraud. Deep learning and machine learning models could efficiently and automatically detect the most likely fraudulent transactions with fewer false positives.
It is critical for institutions that provide financial services like banks to understand the patterns and trends which could indicate fraud in their systems. It is even better if this information can be noticed on real-time for easier detection of fraud. As machine learning and AI keep on advancing in 2019 and the years ahead, predictive cyber protection will be a norm.
Although we keep extremely invaluable information online, the mechanisms used to secure these data are outdated. Passwords are powerful tools used to identify and verify our online accounts. However, they can be extremely poor in guaranteeing the security of our online data. That is why they are being replaced by more recent methods of identification like biometrics and 2-factor authentication. 2019 should, however, a be a stepping stone to better and greater changes.
The need for passwords is slowly being replaced by the more popular Identity-as-a-service (IDaaS). Fast Identity Online(FIDO) uses vocal or biometric recognition and is increasingly being used because it provides a better and more secure alternative to passwords. Blockchain technology provides a significant upgrade in authenticating and verifying users all courtesy of clear and robust protocols that eliminate the need for outdated and unsecured use of passwords.
BYOD will continue adding and expanding security challenges
Termed as one of the most popular trends in business IT, Bring Your Own Device (BYOD), makes work easier, brings down corporate costs and maximizes productivity if executed properly. While it introduces extensive benefits, accounting for every user standards for such a set up is a great challenge for IT departments. Many workers do not observe the set security regulations by an organization resulting in vulnerabilities even for the most secure systems.
In the year ahead, there will be an intersection of increasing popularity and the significance for a safer way to administer BYOD security policies. This endeavor can be through verification of systems that lock critical data or via smarter and more secure systems as technology is here to stay and we have to provide security for it.
Self-evaluating applications will continue to evolve
Besides determining external threats, machine learning and AI will play a crucial role in helping applications to protect themselves. Human beings cannot detect all vulnerabilities, especially in large networks. This leaves some part or all of the network in jeopardy. Automation is already an important trend in technology, but combining automation and Artificial Intelligence has given enabled it to spread to different areas.
Going forward, one of the largest movements will be the rise of runtime application self-protection (RASP). This advancement in tech will enable applications to identify problems without human intervention. This will offer an additional layer of security because the machine can detect, diagnose and stop attacks that happen at application level like SQL injections. By 2020, 40% of organizations will be using RASP as a security precaution.
Perspectives changing on data security governance.
In 2018, there were reports about major security breaches. Even big companies are not cushioned from such attacks like the one that affected 50 million Facebook users’. Besides, data is being generated, stored and shared at a high rate. This calls for the need to understand the best practices for managing such data and keeping it safe from attackers.
As these challenges face many organizations, companies have to reevaluate their methods of data governance to establish better methods. Cloud data and big data will be key areas to examine since many organizations are exploring these new fields.
April 9, 2019 at 12:51 #2668
- This topic was modified 1 year, 4 months ago by Samuel Gichichi.
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