Due to data science advancing on a daily basis, so too are the number of security threats to said data. There may come a point where the data threats become so complicated that controlling it will be a complex task. To deal with complex data threats, we will need more advanced technology.
This article will go over Gartner’s top 10 predictions about data security for 2020.
1. Shadow IT personnel of enterprises will be responsible for one-third of data breaches by 2020
With so many areas to focus on, it’s usual for companies to forget about developing a culture of acceptance and protection to shadow resources. It’s going to be more important to create new policies that rely on detection and protection to accomplish their tasks instead of punishment.
2. Approximately 99% of data security threats will appear from already know vulnerabilities within a company
The vulnerabilities a company has will often go unnoticed, because of this; it’s typically that they are left unresolved. But the first step should be to fix these vulnerabilities. If a company can resolve these issues as soon as they are identified it is open to less further risk and can reduce costs.
3. 20% of organizations have taken steps to create data security governance programs.
Since 2018, prevention has definitely been a key theme. Such programs are aimed to bridge the security gap, but this isn’t going to be enough to combat future breaches. Companies must work on the identification of data security gaps and governance programs accordingly. In order to do so, a company may need cyber insurance.
4. There has been a 60% increase in native mobile containment compared with 20% before 2018, with many companies using 3rd party alternatives.
In an ideal world, companies will begin practicing with native containment solutions and get to know their ins and outs. Not everyone is ready to make the change, but even those with average security needs should begin the switch to native containment solutions.
5. Around 40% of those involved with DevOps will purchase developed applications.
Said apps will be created by combining self-testing, self-protection, and self-diagnosing technologies. If your company is in DevOps, it’s worth adopting runtime application self-protection, or RASP, to prepare for this next big trend. But don’t just rely on this. Companies should be assessing less mature providers for possible security options. This might be the best solution to improve the companies data security system.
6. Cloud-based access security brokers need to be on top of their game
It is predicted that by 2020, 80% of new deals will have an enormous number of security features. Firewalls will include secure web gateways, web app firewalls, and network firewalls. Customers may take longer to switch to cloud-based solutions but this shouldn’t stop companies from investing time and capital in this field. By doing so, they will be able to see if they really need a cloud-based access security broker.
7. Nearly 50% of companies participating in IoT manufacturing won’t be able to identify and overcome threats from weak authentication practices.
IoT opens the doors to a new kind of threat as well as the increase of old threats. Companies will have to implement metrics as a way to detect risks and set identity assurance requirements.
8. Recognition technology will reduce the use of passwords by at least 50%
You can imagine that passwords are far too commonly used to just be completely eradicated. However, companies that wish to develop products that increase levels of trust and improve the user experience will have to focus on biometrics and analytic capabilities rather than passwords alone.
9. 25% of identifiable attacks on companies will mostly be related to IoT by the end of 2020
At the same time, IoT would only account for 10% of security budgets. As this technology becomes more popular, vendors will start to prefer usability to security. This will lead to doubts about the amount of risk involved in IT security practitioners. Companies should start to look at the vulnerabilities of IoT devices to focus on certain areas of the security budget in order to better handle IoT risks.
10. Before 2020, Identity as a Service application (IDaaS) will start to replace around 40% of on-premises identity and access management (IAM).
The limitations associated with IDaaS have been greatly reduced and might end up being a popular choice for small-sized companies. Company policies should adapt to the limitations and benefits found when using IAM.
The consequences of unsecured user data could be destructive for companies across the globe. Data scientists are continuously trying to create dynamic solutions to overcome data security predictions put forward by experts.