“ According to IBM, the global average cost of a data breach is a staggering $4.88 millionmaking up-to-date cybersecurity measures imperative for businesses of all sizes.”

Fortunately, if you’re proactive and rely on tools like AI-powered automated penetration testing, you can quickly identify and mitigate any vulnerabilities in your business to protect against cyber attacks.

What is Automated Pentesting?

An automated pentest uses artificial intelligence to simulate cyber attacks made on a business’ infrastructure. Manual penetration testing by contrast offers similar insights but can take much longer and is limited in scope.

If you’re serious about safeguarding your business from virtual threats to support thorough stress testing, automated pentesting is an excellent proactive solution to consider.

Benefits of AI-Powered Automated Pentesting

There are many reasons why implementing automated pentesting is a good idea for bolstering your business’ cybersecurity.

1. 24/7 Vigilance

Unlike manual pentesting, automated pentesting offers around-the-clock vigilance to identify cybersecurity threats even when the business is most vulnerable. Plus, you can gain real-time insights into organizational security measures for peace of mind.

2. Wide Coverage

With an AI-assisted solution, you can evaluate whole networks and systems to plug any gaps in your defences and make sure no risk is overlooked.

3. Scalability

As you scale in your business, you can continue to use automated pentesting to safeguard your business against threats as it can handle large, complex networks – the likes of which would likely prove a step too far with manual pentesting.

4. Rapid detection

The best way to guarantee that your business remains safe in the face of digital threats and attacks is to have a rapid response to any suspicious activity. With AI-automated pentesting, you can quickly process a vast amount of data, and diagnose issues quickly.

5. Low Cost

The cost of having a human team stay across all cybersecurity threats at all times is significant, so employing AI support can prove more economical over time.

How to Implement Automated Pentesting

If you’re convinced of the need to introduce more robust cybersecurity measures in your business, implementing automated pentesting is a wise move.

With AI-backing, automated pentesting benefits from machine learning and advanced analytics, meaning it will continue to learn and simulate more sophisticated virtual threats to keep you on your toes and proactive in your responses.

So how do you set it up in your business?

“Analyze your current security infrastructure and look for weaknesses or areas that could most benefit from automated pentesting” 

Find a pentesting solution that offers everything your business needs, and preferably one that integrates with your existing tech stack and software solutions for minimal interruption to the way you work

Train your security staff to work with the automated pentesting solution and complement your existing security measures

Carry out regular audits to make sure that you stay on top of the latest threats and keep your cybersecurity defenses up to date

The Future of AI and Automated Pentesting

Let’s say you’re on board with automated pentesting and the applications of AI and now you’re curious about where the technology is headed.

In time, this technology will be commonplace for many companies’ cybersecurity protocol, and will evolve and develop to provide further protection against threats.

Predictive Pentesting

In future, AI pentesting could provide users with key insights into potential vulnerabilities within their businesses. By predicting potential areas for concern, this could narrow the risk window for incoming cyber attacks. 

Autonomous AI Security

Right now, you can run realistic simulations using powerful AI and machine learning technology. One day, there may be a scenario whereby AI can assume responsibility for routine security tasks, freeing up your human security team to focus on complex problem-solving.

Accelerated Machine Learning

With every evolution in AI, processes and workflows become faster and more efficient – this is true whether you’re talking about GPT models or machine learning.

For the latter, it’s conceivable that as AI systems can process more data, they’ll be able to pick up on foreign threats faster and with a higher degree of accuracy, while constantly learning from each scenario.

Is AI Automated Pentesting Right for Your Business?

AI-powered automated pentesting offers businesses unparalleled levels of insight into potential cybersecurity threats they might encounter.

With continuous automated testing through artificial intelligence, you can rest assured that your digital assets will be well-protected as you can quickly respond to any impending cyber attack ahead of time.

Businesses that understand the huge risks associated with cybersecurity attacks are best positioned to benefit from automated pentesting, and can assure customers that their data is in safe hands.

Also Read 5 Steps to Implement AI-Powered Threat Detection in Your Business

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“Today, both small and large organizations have to deal with big data to be successful in making logical decisions.” 

The practical definition is one that describes the applicability of big data in an organization where departments such as production, customer relations, marketing, and others directly benefit by improving their processes. Without further discussion, let us look at the practical applicability of big data in any business.

Product Improvement

Big data, which is inevitable today, is utilized by businesses to improve their products. It is now easy to know what the competitors are producing even without having to ask them.

Some open databases have all this information, and businesses access the data, manipulate it, and make reports that help them to improve their products. Taking this direction means that the company has the will to grow its customer base by fulfilling their needs. A superior product is what they need in this case.

Big Data in Marketing

According to experts from Troparé, a company that offers data solutions for marketers, big data cannot be separated from the sales and marketing department. This department collects customer information every time they interact with customers. They also access product information to understand what they are promoting.

It becomes complicated when they have to compare this against data from other companies and databases. As such, they need appropriate software, apps, or online tools to make reports from the enormous amount of data. Luckily, such efforts enhance their decision making.

Cost Reduction

Again, big data plays a major role in cutting costs in a business. Look at an organization that compares the cost of maintenance from different service providers to know who is offering the best option. It is easy to do so now that data is everywhere. According to a survey, such companies are in a position to cut costs by up to 20%.

“As in other approaches, online comparison tools are available to analyze such data for the business. Sometimes, the business might need the help of an expert, which is worth trying.” 

Improving Customer Focus

Another practical definition of big data is how it is used to improve customer focus. If a company is multi-channel, they are able to stay connected with customers through phone calls, text messages, social media chats, and emails among others.

All these channels are data collection points to understand what the customers really want, how their buying trends are evolving, and a lot of other things. Appropriate tools make this possible through their efficiency in collecting data and analyzing it for companies.

Conclusion

As you can see, businesses do understand big data in many ways depending on how it helps them. But as mentioned from the beginning, it is all about dealing with the huge amount of data that is part of businesses today.

Companies and organizations can hardly ignore it whether they are small or large. It is necessary that you take big data seriously and take advantage of it to improve your business.

Also Read, Importance of Big Data Analytics

The post A Practical Definition of Big Data and Its Application in Business appeared first on AiiotTalk - Artificial Intelligence | Robotics | Technology.