Hacker attacks are increasing dramatically worldwide.
A rapid race for supremacy in this ruinous battle has broken out between the data thieves and data securities.
Even this year, i got hit by hackers on some of my websites, it was a terrible experience but my host was able to protect my data and account.
Facts about Cyber Crime
The threat of cyber threats continues to grow for companies.
According to the World Economic Forum (WEF), hacker attacks are among the top 10 most serious risks worldwide.
Around 30 percent of companies are already affected, says Techpally business editor.
As digital workplaces continue to expand, companies will offer an even larger target in the future.
Because of the gloomy outlook, the continuous development of cyber security strategies is often compared to a game of cat and mouse.
Because the constant striving to reinforce the vulnerabilities uncovered by cybercriminals comes up against more diverse attack methods that force each side to constantly adapt their offensive and defensive tactics.
I’ve discussed the fundamental security technologies during Techpally talks in Las Vegas but today, I’d like to talk about the future of security technologies.
Futuristic Security Technologies
Here are five future-oriented security technologies from which IT security teams in companies can already benefit today.
In the following, we address five future-oriented approaches with which companies should be able to better protect themselves against hacker attacks
- Hardware Authentication
The shortcomings of passwords and user names are well known.
For experts, it is clear that a more secure form of authentication is necessary.
One possibility would be to transfer authentication to a user’s hardware.
Intel is moving in this direction with its Authenticate solution in the new sixth-generation Core vPro processor.
The processor allows a multitude of hardware-based factors to be combined simultaneously to verify the identity of a user.
For this purpose, the manufacturer built on an earlier idea to provide part of the chipset for security functions to make the processor part of the authentication process.
Hardware authentication is particularly relevant for the Internet of Things (IoT), where a network has to ensure that what wants to get access is also legitimately granted.
- Analysis of User Behavior
Once someone’s username and password have been compromised, they can display all kinds of malicious behavior on a network.
This is where User Behavior Analytics (UBA) comes into play, which uses Big Data Analytics to identify abnormal behavior of a user.
It does this by exposing activities that do not conform to the norm of the legitimate user.
In this way, flaw in the middle of the attack chain can be closed.
Comparing the current behavior of a user with previous behavior is not the only way the UBA can identify a malicious actor.
The peer analysis tries to find out how an actor behaves in comparison to people with the same background or professional function.
This can be an indication that the person is doing something they shouldn’t, or that someone else has assumed an identity.
Also, UBA can be a valuable tool for training employees in optimized safety practices.
Because one of the biggest problems in a company is employees who do not want to adhere to company policy.
- Protection Against Data Loss
One key to avoiding data loss is technologies such as encryption and tokenization.
This means that you can protect data down to the field and subfield level.
This allows data to be securely moved and used across the extended enterprise.
Business processes and analysis can be carried out on the data in their protected form, which drastically reduces exposure and risk.
Also, companies benefit greatly from compliance with data protection and security regulations for the protection of payment card information (PCI), personal data (PII), and protected health information (PHI).
Techpally Experts put it in a nutshell, There can be no strong encryption without key management, and there can be no key management without strong authentication.
- Deep Learning
Like analyzing user behavior, deep learning also focuses on abnormal behavior.
It encompasses a range of technologies such as AI (artificial intelligence) and machine learning.
These technologies make it possible to look at the various entities that exist across the enterprise at the micro and macro levels.
For example, a data center as a unit can behave similarly to a user.
With the ability to differentiate between good and bad software, machine learning technologies become “security experts”.
In this way, it is possible to reduce the time to advanced threat detection and elimination.
- Cloud Storage
The cloud is not new, of course, but it will have an increasingly transformative impact on security technology in the years to come.
At the latest when technologies such as virtualized security hardware, virtualized firewalls, and virtualized systems for everything to do with intrusion detection and prevention are transferred to the cloud.
The infrastructure-as-a-service providers will build these services into their platforms, which will relieve the individual cloud customers in their IT security activities.
According to TechPally experts, companies as well as some government agencies have been able to increase the security of their data centers by using IaaS services such as Amazon and Firehost.
For some experts from the US, the Federal Risk and Authorization Management Program ( FedRAMP ) is an example of certified, secure cloud services that make it easier for companies to ensure above-average security in the data center.