By Filip Cotfas, Channel Manager, CoSoSys
With the hybrid work model continuing in 2022, companies will need to make sure they implement the proper Data Loss Prevention (DLP) policies, enforce device security, optimize productivity and collaboration. Zero-trust will play a significant role, and Encryption will be a must. On the other hand, businesses will want more control over their data in the next year, emphasizing the ability to permit portability and seamless response to future demands.
Every digital activity in today’s hyper-connected society generates data. Over the next five years, the amount of digital data created will be more than twice as much as it has been since the invention of digital storage. It is more critical than ever for organizations to protect their data against damage, destruction, or attack in such an environment. It isn’t an exaggeration to argue that every company’s survival now hinges on continuous access to its vital systems and data.
On the other hand, Managing and preserving company data is a challenging endeavor. Businesses must keep a close eye on the shifting data landscape and look for new tools and challenges. They must be aware of security risks with the evolving work environment.
The significance of protecting an ever-increasing attack surface will grow.
All possible ways for an attacker to get access to your company’s equipment and networks, and lock up or exfiltrate your data, are included in the attack surface. As a result, keeping the assault surface as minimal as possible is critical. The issue is that the attack surface is constantly expanding as more people work remotely on different devices, resulting in more access points for cybercriminals to launch cyber-attacks. Worse, the attack surface changes all the time. It’s a collection of bits rather than a single surface. Furthermore, as individuals depart businesses and equipment retrieval becomes more difficult, endpoint control becomes increasingly complex. The ultimate line is that security breaches are unavoidable. Companies will need to improve their detection of breaches to get out as fast as possible in the coming year. Security and recovery plans must be more comprehensive. As the attack surface grows, those solutions must cover data in the cloud, at the edge, and everywhere in between.
Transparency in data privacy is a top priority.
Consumers are becoming increasingly concerned about their security because of large-scale data breaches. Indeed, half of the customers would transfer companies solely based on their data-sharing policies and initiatives. Particularly now that customers are becoming more aware of their rights and educated about them. They are also transparent and being deliberate when it comes to providing their data. Organizations that fail to demonstrate transparency and preserve customer data risk losing their customers’ trust.
It may not be an easy task to build trust through transparency. Nonetheless, given the current state of affairs, most clients consider transparency to be an unavoidable need rather than a key differentiation.
Data protection will become a global supply-chain issue.
The global economy is being disrupted by supply-chain concerns, with everything from cars and refrigerators to electronics and toys in short supply. And those problems appear to be set to persist well into 2022. Logistics concerns and digital threats such as cyberattacks or data attacks will cause further disruptions in the global supply chain in the coming year. In 2022, the supply chain will continue to be a primary issue for businesses. To keep the supply chain running and in sync with the demands of their consumers, companies will need to be actively armed with data protection solutions. Organizations will need to make sure that uninterrupted data is available at all times and can be retrieved promptly.
Artificial Intelligence (AI) Democratization via the Cloud
In 2022, the focus on democratizing cloud data will continue, and the power dynamic between public and private clouds will most likely balance out. Investing in AI has always required a high level of technical competence, processing capability, and a significant investment. Companies may use cloud services to incorporate and benefit from AI without making a significant initial investment. Thanks to cloud services, AI is becoming more democratized, making it more accessible to organizations with a high entry threshold. The combination of AI and cloud services will give a cost-effective alternative to on-site hardware and a reliable alternative to traditional settings. AI will help the cloud manage data and provide real-time data insights across the ecosystem.