The Role of Artificial Intelligence in Cybersecurity

The Role of Artificial Intelligence in CybersecurityAn ever-connected world coupled with the widespread adoption of cloud and mobile technologies have made the subject of cybersecurity infinitely more complex. Furthermore, an expanding number of access points and the seeming relentlessness of today’s sophisticated hackers mean the need for adequate network security measures has never been more important. Keeping up with the demand is challenging, to say the least. Artificial intelligence is turning out to be the ideal solution. Here’s how.

Machine learning and artificial intelligence are being leveraged across any number of industries to improve data collection and analysis and enable better business decision-making. Mountains of data can easily be gathered, analyzed, organized and presented to help business leaders understand new trends and optimize future performance.

From a cybersecurity perspective, AI can be utilized as a tool to quickly and accurately identify new vulnerabilities in an effort to mitigate future attacks. This technology can alleviate much of the burden currently being placed on human security workers who are overworked, limited by human capabilities and inevitably prone to error. With a cybersecurity strategy that’s powered by intelligent automation, machines do much of the heavy lifting, alerting human agents only when action is needed. This enables security personnel to allocate their time and skills more effectively.

Think for a moment about your best security expert. Now imagine if he or she transferred that knowledge and expertise to your artificial intelligence and machine learning programs. This would essentially make your AI as smart as your very best employee. Now, imagine the outcome if you transferred the combined skills of your top ten best employees to your artificial intelligence program.

And since this intuitive technology is capable of “learning” and improving all on its own, your cybersecurity plan will continue to get stronger and more effective over time. What’s more, intelligent automation doesn’t make mistakes and never takes a sick day or vacation. That means with AI, your defense against cyber-attacks will remain constant, 24 hours a day, 7 days a week, 365 days a year. So, it’s like having an army of your very best employees (but even better), constantly monitoring and evolving to provide even better protection.

Of course, that being said, AI shouldn’t necessarily be viewed as a replacement for human security teams – at least not yet. While the technology is, indeed, intuitive and self-driven, it still requires some degree of human interaction in order for it to continue to meet the needs and challenges of today’s organizations. As such, a hybrid approach is recommended, which includes human IT personnel working efficiently alongside the technology to achieve optimum results.

One particular area in which cybersecurity powered by AI can augment human IT teams is through the use of predictive analytics. With this, the technology leverages past and present data to provide security teams the predictive insight they need to thwart attacks before they occur. Essentially, it can facilitate a proactive rather than reactive approach to network security. For those inevitable instances in which threats do manage to get through, intelligent automation can aid in the timely and effective detection, eradication and remediation of successful breaches.

In conclusion, machine learning and artificial intelligence are beginning to play an increasingly important role in how organizations keep their networks and sensitive data secure. In the not-so-distant future, advances in machine learning, AI and intelligent automation will continue to provide newer, better and more effective tools to help savvy organizations stay a step ahead of cyber criminals.

See the next generation of cybersecurity automation and orchestration in action with your very own live demo or click here to launch your free trial of Ayehu and experience the power of AI powered automation for yourself today!

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

Intelligent Automation in the Workplace: What it Is and Why it Matters

Intelligent Automation in the Workplace: What it Is and Why it MattersImagine sitting down for dinner in an upscale restaurant, waiting for your food and seeing it delivered not by a server, but by a flying drone. This may seem a bit futuristic, but it’s soon to be a reality in some places in the world. It’s also a glimpse into how automated technology is beginning to infiltrate just about every industry on earth. In the office realm, robots have been deployed for decades, delivering maximum efficiency and productivity at a minimal cost. But what, exactly, is intelligent automation and why should it matter to your business? Let’s take a look.

Intelligent automation takes regular process automation to a whole new level. Instead of merely carrying out predefined steps and processed, automation powered by artificial intelligence is capable of evolving and improving on its own over time. As tasks and workflows are performed, the data obtained during the process is then used to automatically improve how they are performed in the future. Intelligent automation can also help identify and optimize best practices, enabling business leaders to make more data-driven and therefore accurate decisions.

But if technology is capable of being “smart” and intuitive, does that mean it will eliminate the need for human workers? Does this spell the end for the human workforce altogether? Not necessarily. To the contrary, the purpose of intelligent automation in the workplace is to change the way businesses operate by augmenting and complementing human capabilities. In other words, automation powered by AI is meant to make the lives of human employees easier, allowing them to perform their jobs more effectively.

How is this possible? The ideal scenario would see humans and machines working in tandem. After all, even the smartest software in the world cannot yet replicate certain human characteristics that are necessary in business, such as emotion and cognition. Robots, such as chatbots, can deliver basic customer support and deliver quick, efficient answers to general questions but when it comes to complex situations and personal connections, human agents are still the key.

Intelligent automation comes into play where the need for precision and accuracy exist, when tasks are mechanistic, repetitive or even dangerous, and when vast amounts of data are involved. As a result of this new technology, new opportunities have begun to emerge. Thanks to automation, workers can now focus on learning new skills, performing tasks that are more complex, creative or cognitive in nature. The two working side by side ensure that the underlying organization continues to operate at peak performance, leveraging the latest technology and running as efficiently and effectively as possible.

The added benefit of intelligence in automation today is making significant impacts in a variety of industries. Take for example the finance sector. Many institutions are leveraging natural language processing as a tool to identify fraud and improve compliance. Law enforcement officers are applying computer vision to achieve better facial recognition and the healthcare industry is taking advantage of intelligent technology to gain insight from vast amounts of data in an effort to improve patient care.

Ultimately, it can be said that we have reached a point in time when organizations and business leaders must focus their efforts on helping people achieve more with the help of advanced technology. As a result, shift in how workplaces operate will continue to occur. Like it or not, disruption is occurring all around us and only those enterprises that embrace change and are willing to ride the wave – including that of intelligent automation – will emerge on the other side successful.

Want to see our intelligent automation platform in action? Click here to request a demo and experience what a self-driving enterprise really looks like today.

How Automation and Machine Learning Are Solving the Technology Staffing Crunch – An IT Briefcase Exclusive Interview

IT Briefcase

This article was originally published in IT Briefcase.

Browse any tech news site today and you’re bound to see at least one headline pertaining to automation and machine learning. The fact is, this technology has made leaps and bounds in advancements since it was first introduced, which has led to its more widespread adoption in almost every industry across the globe. One specific area where intelligent automation technology is making a significant impact is in that of the staffing IT shortage.

We recently sat down with Gabby Nizri, Co-Founder and CEO of Ayehu Inc., to learn a little bit more about how automation, machine learning and artificial intelligence are being used as a force multiplier to help organizations overcome the staffing crunch and operate at peak performance.

  • Q. What is machine learning?

A. Machine learning is a level up from basic process automation. Instead of simply automating pre-defined or ordered steps and workflows, machine learning uses an algorithm that is capable of learning patterns in existing data and then using that information to predict similar patterns in new data. Essentially, it uses intelligent technology to implement dynamic rules and workflows while also recommending next best actions for further business optimization and better decision making.

  • Q. What are the benefits to IT?

A. The most obvious benefit of automation and machine learning technology is its efficiency. Transferring time-consuming, repetitive tasks and workflows from human to machine can dramatically speed up operations. It also eliminates human error, which can reduce costs and improve satisfaction levels.

What many organizations are now realizing, however, is that automation can also provide a solution to their staffing woes. We all know that skilled IT professionals are at a premium, particularly those who are experienced in the area of cybersecurity.

By leveraging automation to do much of the heavy lifting, essential business functions like incident management can be handled electronically while existing IT personnel are freed up to focus their skills on more mission-critical tasks and projects.

  • Q. How is it having an impact on the industry?

A. Thanks to the overabundance in available data and more affordable tools for gathering, processing, deciphering and storing that data, machine learning algorithms can now easily be applied to produce fast, affordable results for businesses of every size and industry. Companies are no longer held back by the fact that they are smaller or have limited staff or IT budgets. That’s why we like to call it a force multiplier, because it truly is a game changer for many organizations.

  • Q. Why should organizations should embrace it rather than fear it?

A. It’s understandable why many people view automation and machine learning as a threat, but what they need to realize is that this technology isn’t designed to eliminate humans from the workplace. To the contrary, its purpose is to augment and complement human capabilities. In other words, the ideal scenario is to have humans and machines working side by side.

Will some jobs be eliminated? Likely so, but in reality, those types of jobs were actually better suited for automation anyway. At the same time, the adoption of machine learning and introduction of artificial intelligence into the workplace will also create new roles and opportunities. So, those individuals whose jobs are made redundant may have the chance to learn new skills and change their career paths.

Overall, the benefits far outweigh any downsides, particularly in how automation helps organizations do more with less. So, even those operating on a shoestring budget or with a skeleton crew of IT workers can remain competitive.

  • Q. How is Ayehu using artificial intelligence and machine learning?

A. The next generation of Ayehu is a simple yet powerful web-based automation and orchestration platform for IT and security operations. The platform leverages proprietary, sophisticated machine learning algorithms to provide decision support via suggestions to optimize workflows and dynamically create rule-based recommendations, insights and correlations. It is both agentless and codeless, and is easily deployed, allowing users to rapidly automate tasks and processes, including interoperability across multiple, disparate solutions and systems from one, standalone platform.

  • Q. What is the role of automation in the future?

A. What I find most exciting is that we’ve only just begun to scratch the surface with automation and machine learning. As these technologies continue to develop and improve, the way they can benefit businesses will only continue to increase as well. What we’re seeing now – and it’s pretty amazing stuff – is really just the tip of the iceberg. In my opinion, the best is yet to come.

 

eBook: 10 time consuming tasks you should automate

3 Common Misconceptions About Artificial Intelligence

3 Common Misconceptions About Artificial IntelligenceArtificial intelligence has been around for decades, though it just recently became a hot topic in the business world. During this time, many individuals have confused AI with automation, sometimes going as far as using the two terms interchangeably. The reality is, while the general concept may be similar, the two are distinctly different. Furthermore, this confusion has led to a number of other myths and misconceptions.

We’d like to clarify a few things, beginning with the difference between AI and automation.

IT process automation involves programming technology to perform routine, manual tasks based on a prescribed set of instructions. Artificial intelligence takes this concept several steps further by using intelligent machines which are capable of displaying human behavior, thought and decision processes. Where automation is essentially set in stone (unless manually modified), an AI machine increases its own intelligence and can adapt its actions automatically, based on information it receives.

From a business perspective, artificial intelligence has the power to help organizations make more informed decisions. It can extract valuable information from mountains of data, analyze and organize it in a logical manner and essentially close the gap between insight and action. Given its complexity, however, AI is still often viewed in a negative light. To change this, we’d like to dispel three of the most common misconceptions as follows.

Artificial intelligence is a distant dream.

Many people believe that AI is a technology that won’t be readily available and practically applied until many years into the future. The truth is, widespread adoption of AI, both in our professional and personal lives, is much closer to becoming a reality than you may think. In fact, given that so many organizations across all industries and around the world are already employing automation to some degree, the idea that AI could be worked into the mix isn’t all that far-fetched.

Artificial intelligence isn’t really going to make that much of an impact.

The idea that AI is somehow inapplicable in the business world stems largely from the technologies complexity. People tend to discount things they have difficulty understanding. The reality is that AI is not only practical for business use, but it’s incredibly beneficial. The machine learning component of AI means that computers will have the ability to learn without the need for programming. It also has the capability of mining and analyzing big data to extract valuable insights which can then be put into action to achieve better results. These are things every organization can benefit from.

Artificial intelligence is going to eliminate the need for human workers.

While it’s certainly true that AI will make human workers redundant to some degree (think routine, repetitive tasks like reporting and data entry), this technology will not fully replace humans. This is particularly true in certain fields that require high-touch interactions, like HR, health care and consulting.

Likewise, while intelligent automation will streamline and optimize operations for many organizations, it cannot and will not replace the need for the development and nurturing of customer relationships. AI can, however, leverage data to provide human workers with the insight they need to deliver better, more personalized service.

And because implementing and managing new technology will always require some degree of human input, new roles and responsibilities will naturally evolve, which means that for many, AI will present great opportunities.

Like it or not, AI isn’t going anywhere. In fact, Forrester predicts that overall investment in artificial intelligence technology will increase by 300% this year alone. By addressing and overcoming the biggest misconceptions about AI, companies can harness the power of intelligent automation to streamline operations and provide competitive advantage.

Want to see AI in action? Click here to request a demo.

eBook: 10 time consuming tasks you should automate