4 Data Security Things To Watch for 2020
Closing a year usually means we’re up to reflect on what happened on it and project what may be trendy or relevant in the next. That’s true, especially in cybersecurity, which is an ever-evolving area of an ever-evolving business, as it’s IT. Antivirus and endpoint security developers are always looking ahead for more innovation.
New kinds of threats that emerged in 2019 will likely be common next year. That means 2020 will be a challenging year for cybersecurity. Creating effective strategies against hacking and malware is as complex as it has ever been. Here are some cybersecurity predictions for the next year.
AI and Fake Data for Fake News
Fake news has existed since the press exists; however, with the rise of social media, its spreading has become more dangerous and has influenced public opinion and elections. As its effectiveness is shown, it’s being spread not only through politics but through business. Next year, the use of fake data against companies will see a hefty rise.
How to fight them? Artificial intelligence is a significant way to go. The tech behind the creation of fake data and fake news targets individual profiles to influence their views and decisions. Fact-checking companies are on the rise against this kind of data, and we’ll see more of them.
An imbalance between privacy and security
It seems like the scale is turning towards privacy over security. Cyber-protection is becoming harder to sustain, and a growing perception of the companies and governments as a digital “big brother” is leading people to find new ways to hide their online identities and activities. That means companies will have to rethink how to comply with legal regulations and to keep their networks safe while respecting their users’ privacy.
Moving to hybrid clouds will expand the attack surface
Cloud adoption has been one of the most significant trends in data managing and security in the last few years. However, lately, organizations have moved to hybrid clouds and multi-clouds, and that means one thing: an expansion of the attack surface and an increase of data risk for organizations.
Add to that the extra complexities brought by privacy and dark data, and you have the perfect cocktail for a substantial decrease of threat visibility.
Automation is excellent but will show its risks
Automation is reducing risks. Nobody doubts that. However, it’s also true that it is a double-edged sword. It’s a powerful tool if joined by deep learning, which has become the way to go for top-notch automated solutions.
However, we are seeing a rise in dodging automated solutions. For example, fooling an automobile’s autonomous driving system by altering traffic signs is something that happens, and we’ll happen more often. Just imagine the destructing potential of tricking defense systems and weaponry. You may see stuff you only saw while playing Watch Dogs.
Conclusions
However, that doesn’t mean everything is grim. Companies are working hard to offer a better and safer online environment, and they are taking a step ahead from attackers. AI solutions and better cloud security are just two of the trends we also see that may counterbalance new security threats.