How to Make Cybersecurity Better in the Future: Important Advice for 2025
Did you know that by 2025, hacking will cost the world $10,500,000,000 every year? It’s more than the GDP of most countries put together.
The digital world is changing quickly, and cyber threats are changing faster than our protections. From attacks that use AI to risks that use quantum computing, cybersecurity in the future will be very different from what it is now.
The good news? We don’t have any defense. Quantum-safe encryption, zero-trust design, and AI-driven security systems are some of the powerful new technologies that will be used in cybersecurity in the future. These tools aren’t just fancy tech terms; they protect us from the cyber risks of tomorrow.
Whether you work in security or own a business, it’s important to know about these new hacking trends to keep your digital assets safe. This guide will show you the most important things you can do to improve your safety starting in 2025 and going forward.
Are you ready for the future of your security? Let’s get started.
Using security solutions that are powered by AI
When we think about the future of cybersecurity, using security solutions that are driven by AI is now necessary to stay ahead of threats that are always changing. AI security tools are handling up to 500 trillion signals every day to find and stop threats, which is a big change in how companies handle cybersecurity.
Looking at AI security tools
There are a few important things we need to think about when choosing AI security tools for our company. As a result, companies that fully implement AI security systems have seen their data breach costs drop by an average of $3 million. Here are the most important factors for evaluation:
The ability to watch in real time
Integration with protection systems that are already in place
Optimization of speed and scalability
Meeting the standards of the law
How good the training data is
Setting up AI-based threat detection
We’ve seen that threat detection systems that use AI are very good at finding threats and reacting to them in real time. These tools can speed up the triage and investigation of alerts by about 55%. When we use AI to find threats, we pay attention to three main areas:
Continuous Monitoring: AI systems look at network data, user behavior, and patterns of app use 24 hours a day, seven days a week.
Automated Response: Putting in place immediate processes for reducing threats when suspicious activity is found.
Pattern recognition uses complex algorithms to find small signs of bad behavior that human analysts might miss.
Taking care of AI security risks
AI makes our security better, but we also need to think about the risks that it might pose. As geopolitical cyber threats get worse, critical infrastructure sectors need to speed up their cybersecurity efforts, paying special attention to “assume breach” concepts.
When we use AI for security, we need to be aware of data bias and ethical issues. To make sure AI models stay accurate and dependable, we suggest setting up strong data governance frameworks and conducting regular system checks. We also need to make sure that our AI security systems follow the new rules that are being made about AI and data use.
We’ve found that the best way to lower risks is to use hybrid threat detection models that blend AI with current security measures. By taking this method, we can keep our security high while slowly adding more AI features.
Using security measures that are quantum-safe
The age of quantum computing brings safety problems that have never been seen before. According to new polls, 60% of organizations in Canada and 78% of organizations in the US think that quantum computers will be common by 2030. This will completely change how we handle data.
Looking at the Threats of Quantum Computing
We’re at a very important point where quantum computers might be able to break through present encryption. Research indicates that 60% of Canadians and 73% of Americans believe that cybercriminals will soon employ quantum computing to circumvent current security measures. Let’s look at these things:
Value of data and evaluation of lives
Currently reviewing the cryptographic list
There is risk all along the value chain.
Weak spots in old systems
Possible effects on important facilities
Putting post-quantum cryptography into practice
The National Institute of Standards and Technology (NIST) has taken strong action by choosing four encryption tools that are made to protect against threats from quantum computers. Post-quantum cryptography (PQC) is getting a lot better, and the global market for quantum computers is projected to reach $50 billion by the end of this decade.
To get ready for this change, we suggest you take these important steps:
Make complete listings of cryptography
Look at the value of the information and the protection needs
Make plans for how to move to using PQC.
Talk to suppliers about quantum-safe solutions
Leaders should learn about quantum effects.
Planned Infrastructure for Quantum
When we plan our infrastructure, we need to think about the “download now, decrypt later” threat. This means that bad guys could steal protected data now and decrypt it later when quantum computers get stronger. Moving to infrastructure that is safe with quantum mechanics isn’t easy; new security standards could take 5 to 10 years to be put in place, according to experts.
Quantum readiness is becoming more important to businesses all over the world. Most of the companies that were asked were “extremely concerned” that quantum computing could be used to get around their data encryption. Quantum computers would need 100,000 times more working power than current systems to break today’s strong codes. This is a big step forward that experts think could be reached by the late 2030s.
To stay ahead, we’re working on making algorithms that can’t be broken by quantum computers while still working with current networks and communication protocols. The U.S. government has already passed laws that require state agencies to get ready for a world without quantum cryptography. This sets an example for the private sector to follow.
Creating an architecture with no trust
The threats we face today are changing so quickly that companies are changing the way they think about security. “Never trust, always verify” is the idea behind zero trust design, which is becoming an important part of future cybersecurity plans.
Making networks with no trust
We’ve found that old-fashioned network perimeters don’t protect networks well enough anymore. Our Zero Trust network design method is based on seeing every user, gadget, and app as a possible threat, no matter where they are. Some important parts of our Zero Trust network are:
Splitting up a network
Continuous checks and confirmations
Encryption from end to end
Controls for real-time access
Dynamic application of the law
Best Practices for Identity Management
Identity management is what our Zero Trust solution is built on. We’ve seen that companies that use strong name verification have made their attack surfaces much smaller. Multi-factor authentication (MFA), which has been shown to be very effective at stopping unauthorized entry, is at the heart of our implementation.
We suggest that you take these important steps when building identity management systems:
Set up strong verification methods
Allow ongoing name verification
Use biometric identification when you can.
Set up clear rules for access
Watch how users act and behave.
Setting up access control
We’re putting in place strict access controls based on the concept of least privilege. This makes sure that users only have the access they need to do their jobs. Our systems continuously monitor connections and determine their safety for use based on various factors, including the user’s identity, the device’s health, and the user’s position.
As the number of credential-based threats has grown, protected access management has become even more important. To keep security strong, we’re putting in place just-in-time access protocols and reviewing access rights on a regular basis.
For a good implementation, we make sure that our access control tools work with cloud services and that policies are always followed the same way in both public and private hybrid environments. We’ve seen organizations have a hard time keeping track of access across multiple platforms and places, so this approach has been especially helpful.
By following these Zero Trust principles, we’re making a security system that is stronger and can handle new hacking problems. Every access request is constantly checked by our monitoring systems. This way, even if attackers get through one section, they can’t move laterally through the network.
Getting the infrastructure for cloud security stronger
As businesses move their operations to more than one cloud setting, cloud security gets harder to manage. 82% of breaches now involve data saved in the cloud, according to new studies. This makes strong security measures more important than ever.
Security Plans for Multiple Clouds
The way businesses handle multi-cloud security is changing in a big way. Concerns about cloud security have been raised by 73% of businesses, so we’re putting in place full protection plans for all cloud platforms. Our method is based on these important points:
unified security rules for all platforms
Control and view from one place
Scaling up security automatically
Monitoring threats in real time
Cross-platform control of compliance
Security Experts for Cloud Access
Cloud Access Security Brokers (CASBs) have become very important to our security. Studies show that nine out of ten cybersecurity experts are worried about cloud security. Protecting against data loss (67%) and threats to data privacy (61% of those surveyed) are the issues that worry them the most.
We’re putting in place CASBs to deal with these issues by:
Finding and evaluating shadow IT and its risks
Real-time security for data
Keeping threats away
Checking for compliance
Enforcement of access controls
Keeping your data safe in the cloud
Because cloud settings are so complicated, our plan for keeping data safe has changed over time. The market for data protection is expected to grow to more than USD 158 billion by 2024. This shows how important strong security measures are becoming.
We’re making our cloud data security stronger by encrypting files at the file level and making sure that data is safe both while it’s being sent and while it’s being stored. New research shows that companies have a hard time keeping data safe from being lost or leaked. In fact, 53% of workers are worried about privacy breaches.
We’re focused on automated cloud data protection solutions that help us find, classify, monitor, and protect applications across multiple environments in order to make our security stronger. With this method, we can monitor all user, folder, and file actions and identify and address security risks before they arise.
We’re adding extra layers of security by enforcing strict entry rules and strong credential policies. To make sure that all of the credentials in our system stay current and safe, we also do regular security checks and use password lifecycles.
Automating tasks related to security
There are big changes happening in security operations right now. Automation is becoming necessary to handle the huge number of daily security alerts. Today’s threat environment means that security teams have to deal with thousands of alerts every day, which makes processing them by hand almost impossible.
Solutions for Security Orchestration
SOAR (Security Orchestration, Automation, and Response) solutions will help us make all of our security tools work together better and make things run more smoothly. Studies show that these platforms can cut down on false results by up to 79%, which shows how well they work. Our approach to orchestration is based on:
Integration of all security tools into one
Managing alerts from one place
Automated application of playbooks
Response to threats in real time
Cross-platform working together
Automating Response to Incidents
We’ve found that automated incident reaction makes our security a lot better. Automation cuts down on the mean time to resolution (MTR) and gives us a better view of our IT systems, which are both big benefits. We’re able to do the following with automated issue response:
Faster detection and reaction to threats
Security teams have less work to do.
Better context during events
Better working together between groups
Lower prices of doing business
Our use of AI-powered incident reaction has worked especially well because it can handle and analyze huge amounts of data from many sources. This feature helps us tell the difference between real threats and false positives more precisely. It also lets us prioritize alerts based on risk and seriousness.
Improvements to the security work flow
We’re automating our security processes to make them more efficient because our IT teams are short-staffed and overworked. We’ve seen big gains in accuracy and efficiency since we started using automated security processes. Incident reaction automation tools are now able to quickly find, analyze, and rank possible cybersecurity incidents by sorting through huge amounts of data.
Our security processes are automated in more ways than one. We use advanced SOAR systems that can automatically put together telemetry data into full attack stories. This gives our analysts all the information they need to investigate and respond. These systems work especially well because they can connect to many security tools and run automatic responses.
Our automatic systems use rules to figure out if the things they did to stop threats worked. In some cases, they can work with paging systems to send detailed information about ongoing incidents to human analysts. This method has been especially helpful because it has greatly reduced alert fatigue, with automatic help to stop false-positive alerts.
As we look to the future of cybersecurity, we’re focusing on increasing our automation while keeping humans in charge of making important choices. Our security automation solutions now let us handle a huge number of security alerts every day. This frees up our team to work on bigger security projects instead of doing boring tasks.
In conclusion
Cybersecurity threats are changing at a speed that has never been seen before. For our digital future, we need strong defense plans. To stay ahead of hackers, we need to use AI-powered security solutions, quantum-safe measures, and Zero Trust Architecture. We also need to make our cloud infrastructure stronger and automate security tasks.
As technology changes, our security methods need to be updated and improved all the time. If companies use these all-around security methods, they will greatly lower the risks they face and better safeguard their digital assets. Regular security checks, training for employees, and keeping up with new threats are still important parts of any good cybersecurity plan.
To be successful in cybersecurity, all levels of a company must be committed to putting these safety measures into place. We can build systems that are strong enough to protect against future cyber threats if we plan well, test them regularly, and use security tools in a smart way. Remember that cybersecurity is a path, not a destination. It needs our constant attention and willingness to change.
