4 Cybersecurity Challenges that Could Be Placing Your Infrastructure at Risk

In today’s digital age, network availability and reliability are critical to businesses of every size and industry. A strong, secure infrastructure is the key to keeping customers happy, protecting your brand reputation and ensuring positive movement in terms of both revenue and profits. Achieving this type of maximum security, however, is becoming increasingly challenging in the face of escalating cyber-attacks.

Losing network access is no longer just a minor inconvenience for today’s businesses. Not only can it be incredibly costly from a financial standpoint, but it can also cause irreparable damage to a company’s reputation. And the cold, hard truth is, conventional methods for protection are no longer adequate, especially given the increase in frequency, intensity and size of cyber-attacks.

To achieve a secure infrastructure, IT leaders must address the four main challenges that are standing in their way. Those challenges are as follows.

Lack of Visibility

Maintaining a clear and accurate view of all devices and network assets across physical, virtual and cloud infrastructure is critical to maximum protection. After all, you can’t protect what you cannot see. The challenge lies in the reliance on traditional security systems to track and monitor the network. These antiquated solutions do not provide a complete view of all devices and assets, leaving some vulnerable to compromise.

To address this, IT leaders should leverage solutions that allow them to centralize and automate network discovery, enhance visibility and quickly identify attack points, anomalies, patterns and other suspicious activity.

Poor Vulnerability Detection

As challenging as it is to obtain a consolidated view of devices and network assets using conventional methods, spotting and quickly addressing vulnerabilities in those assets can be just as difficult.

Vulnerability scans can be helpful, but since they aren’t capable of continuously monitoring every single device, virtual machine and end point across complex infrastructures, nor can they pinpoint threats generated from configuration errors, non-compliant devices and outdated components, they simply aren’t sufficient enough to keep organizations secure.4 Cyber Security Challenges that Could Be Placing Your Infrastructure at Risk

Without comprehensive insight on vulnerabilities, networks are no match for the sophisticated cyber-attacks of today.

DNS-Based Attack Protection

Exploiting DNS has proven to be a highly effective way to disrupt and disable networks. Attackers utilize DNS pathways to ravage networks in a variety of ways. For instance, hackers often use DDos attacks to flood DNS servers with bogus requests, swap out legitimate URLS for fake ones that cause websites to appear to be down when they’re not, and create diversions that allow them to hide other types of attack.

The reason DNS has become the method of choice for so many cyber-criminals is because conventional infrastructure security methods are incapable of protecting DNS. To overcome this risk, IT leaders should seek out advanced solutions that are specifically designed and developed to comprehensively and automatically protect DNS from would-be attacks.

Lack of Integration within Security Ecosystem

Many companies employ the use of a large number of disparate security solutions from a variety of different vendors. This results in silos that are incapable of working together and sharing critical information, which results in a significant challenge to security teams who are responsible to take action amidst a dynamic and ever-evolving security landscape.

To complicate matters further, security teams in this situation also find themselves drowning in a sea of increasing threats with little to no clear direction on which threat to act upon first and why.

The solution is to create a network that is made up of systems, software and applications that can be fully integrated with one another with the goal of enhancing the performance of the entire cybersecurity ecosystem. This type of setup enables security teams to gain greater visibility and remediate swiftly to mitigate risk.

Conclusion

A failure to adequately protect your network and infrastructure can result in much more than just a little bit of downtime. A sophisticated and complex cyber-attack can cripple your network and place the reputation as well as the careers of everyone involved in jeopardy. To ensure maximum protection and network availability, organizations must close the gaps and address the vulnerabilities that other solutions create.

Integratable solutions which involve automation and data-driven intelligence can effectively improve visibility and enhance threat detection across even the most complex infrastructures, thwarting attacks and optimizing the performance of the entire security ecosystem.

Don’t get caught on the bad end of a cyber-threat. Provide your network and infrastructure with maximum protection. Launch your free product demo of Ayehu today to get started.

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

How Uber Could Have Prevented Their Latest Cybersecurity Breach

How Uber Could Have Prevented Their Latest Cybersecurity BreachIn case you missed it, ride sharing company Uber has recently come under fire due to the circumstances surrounding a data breach that occurred in late 2016, but that the company didn’t publicly report until just last month (nearly an entire year later). The hackers behind the breach were able to access the personal information of 57 million users, including names, email addresses, phone numbers. Also stolen were 600,000 driver’s license numbers of Uber drivers. With yet another high profile brand making headlines, it’s time to ask once again, could a stronger cybersecurity strategy prevented this fiasco?

What happened?

According to Uber CEO, Dara Khosrowshahi, two hackers broke into the company’s GitHub account, a third-party, cloud-based service that many companies use to store code. It was on this site that the hackers located the username and password they needed to access user data, which was stored on an Amazon server. Sadly, experts are saying the attack was not sophisticated, which means it could have been prevented had the company been more vigilant with its cybersecurity practices.

Where they went wrong

The breach itself isn’t what’s got Uber in hot water right now, although users and regulatory agencies are rightfully outraged. What’s most upsetting is that, rather than alerting users that their information had been compromised and notifying authorities of the breach (as is required by law), Uber instead handed over a $100,000 ransom to the hackers. According to Uber representatives, they were assured and therefore believed that in exchange for that payment, the data was destroyed.

The problem is, by failing to report the breach, not only were users placed in a precarious situation, having their personal information unknowingly in the hands of criminals, but the company also failed to act lawfully and in compliance with regulations. As a result, it’s likely that Uber will face consequences, both at the state and federal level.

Furthermore, when businesses choose to pay hackers what they demand, it only perpetuates the problem of cybercrime and encourages others to follow suit. Similar cybersecurity events occurred recently to well-known brands Netflix and HBO, however, neither of those organizations paid the ransom demanded.

A better solution

The bottom line is, what happened to Uber could easily happen to any business. And paying the ransom – even if it did result in the data being destroyed – didn’t address the actual problem, which is poor cybersecurity planning. Keeping usernames and passwords located on an easy-to-access platform like GitHub was mistake number one.

The second mistake Uber made was not having the right technology in place. For instance, had they employed automated incident response, they would have been alerted of the breach immediately and quite possibly could have avoided having to pay the ransom in the first place. And, thirdly, of course, was the company’s failure to notify appropriate parties. For that, they will likely pay much more than the original ransom amount and reputationally, the company may never quite recover.

Uber’s latest PR nightmare should serve as a reminder to business owners, board members and IT leaders across the globe. The question is no longer whether your company will get hacked, but rather when. Being prepared, leveraging technology and adhering to all state and federal regulations can help your business weather the storm and emerge unscathed on the other side.

Want to see exactly how automation powered by AI can help guard your business against hackers? Click here to take Ayehu for a test drive!

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

Is your organization prepared for a cyber attack? Here are 5 steps to strengthen your defense.

Is your organization prepared for a cyber attack?Is your organization truly prepared to handle a potential data breach? With well-known brands and industry leaders regularly being dragged through the mud by the media due to lack of protection of sensitive data, it’s becoming abundantly clear that nobody is safe anymore. In fact, experts predict that threats to businesses will only continue to increase, both in frequency and in complexity. If your cyber security incident response strategy could use a little more oomph, here are 5 things you can do today to fortify your level of protection.

Identify Areas of Risk – It’s often said that to catch a criminal, one must think like that criminal – to get into his or her head and view the world from a different perspective. When it comes to cyber security, the same concept can and should be applied. Start by identifying which data your organization possesses that would be most likely to be targeted. Then, develop your cyber security incident response plan around that.

Practice Makes Perfect – You probably already conduct regular fire drills to ensure the safety of your personnel in the event of an emergency. Shouldn’t your cyber security incident response plan receive the same level of testing and tweaking? Your strategy should always remain fluid and reviewed on a regular basis to ensure its effectiveness so that when, not if, an attack occurs, you will be ready. As a starting point, review past records to identify which types of incidents you’re most prone to.

Make it a Team Effort – It’s important to remember that cyber-attacks don’t just have the potential for monetary loss, but they also often result in reputational damage and even lawsuits. In order for your cyber security incident response plan to be truly effective, it must cover every angle. That’s why it’s a good idea to include other departments, like legal and public relations, in the process.

Keep Leadership In the Loop – While the task of protecting sensitive data may be handled primarily by IT, incident response is something that should be a company-wide priority. That includes top leadership, such as your C-Level executives and your Board of Directors. Involve these decision makers in as much of the process as possible, from planning to response strategy, and encourage them to be active participants.

Empower Your Team – Your IR strategy is only as good as the people you’ve got managing it and the tools they’ve been given to do their jobs well. Make sure that your IT team has access to everything they need to stay a step ahead of online threats, such as incorporating automation into the cyber security incident response plan to make response and resolution faster and more effective. The more you invest in this area upfront, the more it will pay off in the long term.

In conclusion, the goal of any individual or team tasked with managing cyber security must include making their response and remediation strategy as strong as possible. The best way to achieve that goal is to ensure that the right people, processes and technology are all aligned accordingly. The eyeShare product can provide the ideal solution, bringing everything together and creating a much more solid defense across the board.

Ready to get started? Request a free demo today!

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

Why artificial intelligence will change cybersecurity as we know it

AI and Intelligent Automation Network Guest Post

Guest post originally published in AI & Intelligent Automation Network.

Artificial intelligence (AI) and machine learning are becoming embedded in businesses across the globe, and cybersecurity is quickly emerging as a key area of focus for enterprises striving to enhance the security of sensitive data.

Despite this growing adoption, however, many are still struggling with misconceptions and confusions surrounding the different types of solutions available on the market today.

To set these misconceptions to rest once and for all, one must recognize certain key considerations around AI and understand how it is disrupting the information and network security realm.

It’s equally important to recognize the difference between traditional automation and intelligent automation and its impact on cybersecurity. With this knowledge in hand, business leaders can then begin to capitalize on the opportunities and long-term potential of AI and automation in the intelligent enterprise.

The role of AI in cybersecurity 

Perhaps the ultimate turning point in terms of organizations recognizing the critical importance of adequate network security was the Target breach of 2013. The utter magnitude of that breach opened the eyes of many and placed the topic of cybersecurity front and center on the list of business priorities.

Since that time, there has been a steady influx of attacks that have evolved and increased in both complexity and frequency, subsequently increasing the need for fast, accurate incident response and remediation.

The challenge many organizations face, however, is how? Hiring additional staff isn’t always feasible, whether it’s due to budgetary restraints or simply a lack of qualified personnel.

Additionally, given the sophistication and relentlessness of today’s cyber-attacks, many organizations are finding that human ability is no match. That’s where automation and orchestration technology has become a true game changer.

Combined with artificial intelligence and machine learning capability, automated cybersecurity is meeting attackers head on and essentially fighting fire with fire.

In the context of cybersecurity, AI is able to perceive its own environment well enough that it can independently identify threats and take the appropriate action, all without the need for human intervention. AI is particularly powerful from an incident response perspective because it is adept at recognizing patterns and anomalies far better than any human agent ever could.

Essentially, it’s like having an army of intelligent robots standing at the ready, 24/7/365 to detect and respond to threats. Few, if any, human workforces can accomplish such a feat, especially with such tremendous accuracy.

Machine learning is bringing that power to the next level because it can “learn” and improve on its own, based on factors such as the outcome of previous actions taken. Together with artificial intelligence, machine learning can effectively be used to predict future outcomes based on past events. This can help humans make more data-driven and therefore more accurate business decisions. And when the monumental task of incident management can be shifted from human to machine, businesses are better able to allocate resources toward the most valuable human-led tasks.

Simply put, as the amount of data continues to grow and the global threat landscape continues to advance, both in number and sophistication of attackers, organizations can no longer rely on antiquated tools and manual activities.

Automated cybersecurity incident response powered by AI and machine learning will enable business leaders to stay a step ahead of the threats.

Traditional vs. intelligent automation

IT automation is certainly not a new concept, but the technologies behind it have progressed significantly in recent years. As a result of these advancements, businesses are benefiting in a number of tangible ways, including that of enhanced network security.

But what’s the difference between the traditional automation tools of the past and today’s sophisticated platforms that are powered by intelligent technology?

While both technologies function with similar end-goals in mind—that is, streamlining and automating manual tasks and workflows—intelligent automation is designed to take things a step further by augmenting human intelligence. Not only is this a more cost-effective and scalable approach, but it can be implemented without having to sacrifice process quality and reliability.

Ultimately, the key differentiator between traditional and intelligent automation is the ability to make decisions.

Basic automation tools are capable of gathering and organizing data into reports that human agents can then use to forecast and plan. With machine learning, that data can be analyzed by artificial intelligence at a rate of speed and accuracy far greater than humans are capable of. The result is more valuable information that can facilitate improved business decisions.

The future of AI in cybersecurity

The opportunities that AI-powered automation presents to the enterprise are many, particularly in terms of enhanced network security.

For instance, intelligent automation is capable of quickly detecting and identifying not only known but also entirely new classes of threats. Over time, these agentless systems will continue to learn, adapt and improve on their own, becoming even more effective at managing incidents and analyzing the changing behaviors of attackers.

Additionally, deep learning algorithms will be able to sift through enormous amounts of data in real-time to uncover valuable insights into the growing threat landscape, enabling rapid and effective improvements to existing incident remediation processes.

The long-term goal of automation powered by AI is to achieve an even greater level of flexibility along with enhanced thinking capability that matches the human mind as closely as possible. The result will be a genius-level platform that is faster, more accurate, more consistent and far more effective at achieving maximum cybersecurity than any human team could ever accomplish.

Such a system, just like the human cognition it’s designed to simulate, will be capable of learning new processes, adapting according to its changing environment, arriving at its own conclusions and making its own intelligent decisions.

Perhaps the most interesting fact of all is that this type of system is not some far off distant vision of the future, but a present reality and one that is already driving the intelligent enterprise of today with the promise of keeping it a step ahead of the threat landscape of tomorrow.

To read the guest post in its entirety, please click here.

Mitigating Damages with Automated Incident Response

Mitigate damages with automated incident response

2017 is coming to a close and if we’ve learned anything over the past 11 months, it’s that cyber-attackers are getting savvier and more relentless. Thankfully, we’ve also learned that having an automated incident response strategy could mean the difference between a mere blip on the radar and a potentially huge impact.

Here’s a recap of what the past year has taught us about cybersecurity.

Nobody is Immune

One of the most disturbing revelations from the growing cybersecurity events over the past year is the fact that not only did they impact tens of thousands of websites across the globe, but that many of those sites were among those people believe to be the most secure. For instance, a number of websites that were found to have been injected with the malicious script code, many were government sites as well as those ending in .edu. Prominent business sites were also among the targets of attacks. And, of course, we can’t forget small to mid-sized businesses that are also targets.

What this demonstrates is that nobody is 100% safe from a security threat. The key is having the right automated incident response plan in place to help identify threats as soon as they occur, before they have time to wreak havoc.

The Potential for Damages

While in some cases the attacks were rendered ineffective for one reason or another, that’s not to say that they’re not of significant concern. That’s because many attacks that occurred over the past year were launched as acts of reconnaissance in an attempt to learn more about users. The information gathered could very well be used in future attacks, which could include anything from SEO poisoning and the delivery of malware to compromised and unprotected users.

Automation = Mitigation

It’s important to point out that there is no way to totally prevent or completely avoid every potential attack that could occur. As criminals are becoming more sophisticated, their attempts are becoming equally complex. The best course of action is to develop and implement an automated incident response strategy that is comprehensive enough to help identify potential attacks immediately. Automation is critical to this process, as it allows round-the-clock surveillance and instant, automatic remediation.

By incorporating tools like IT process automation into your cybersecurity incident response plan, every single incident that could potentially be a threat is immediately identified and assessed behind the scenes (and without human intervention) to determine its validity and severity. The information gleaned from this evaluation is then used to determine the next steps in the process, whether it’s to execute a particular response automatically or to escalate the issue to be handled by the appropriate party.

Even though cyber-attacks cannot always be completely prevented, having a robust strategy in place allows for a more swift and effective response. This reduces the impact of an attack and subsequently allows for the mitigation of damages. For instance, instead of having to track back the cause of a system outage that has been allowed to perpetuate undetected for a long period of time (and a process that could take additional man hours, days, weeks or even months), automated incident response can quickly pinpoint the problem, helping you reduce downtime.

As we prepare to head into a new year, it’s important to ask yourself this question: does your security plan have what it takes to address the changing landscape of cybersecurity? Don’t become the next victim. Protect your business and your sensitive data by investing in automation. Take a test drive and experience it for yourself by clicking here.

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

Two Key Ways Intelligent Automation is Changing the Face of Cybersecurity

Two Key Ways Intelligent Automation is Changing the Face of CybersecurityArtificial intelligence and machine learning technologies are being integrated into many aspects of our everyday lives. If you use Siri or Amazon Echo, you’ve already been touched by AI to some degree. One area where this so-called “smart” technology has become particularly valuable is in the realm of cybersecurity. But despite the buzz, it’s important to understand the real capabilities of intelligent automation in security.

Better Detection

Many are surprised to learn that artificial intelligence in cybersecurity isn’t a new concept. In fact, machine learning has been used to detect unwanted traffic for many years, including in such common tools as spam filters. So why all the hype today? Because that technology has continued to evolve and improve. Where it really shines today, specifically in terms of network security, is in its ability to pinpoint attacks that are outside the norm.

In other words, intelligent automation can detect a pattern or anomaly and recognize that something is suspicious entirely on its own. Not only is this incredibly effective, but it’s something human agents simply cannot do. That’s where an AI powered cybersecurity platform becomes what we like to call a force multiplier.

Volume Control

Another way intelligent automation is revolutionizing the way organizations handle their cybersecurity is in the sheer volume of threats. With the relentless onslaught of increasingly sophisticated attacks operating around the clock, even the most competent and diligent security team cannot keep up. AI technology, on the other hand, can handle an immense amount of data, continuously monitoring, instantly analyzing and immediately reacting to address potential incidents.

Again, like its intuitive ability to read patterns and detect anomalies, machine learning in cybersecurity can also become a force multiplier by augmenting human capability. This is particularly true in instances for which human decision making is still necessary. AI technology can monitor and assess enormous amounts of raw data looking for problems and pass them on to human analysts for closer examination. Furthermore, the interaction with humans allows the intelligent automation platform to continuously refine and improve its search algorithms (hence, the “learning” in machine learning).

When it boils down to it, the hype about AI and machine learning in security is turning out to be all that it’s cracked up to be. With the right platform, intelligent automation can bring your cybersecurity strategy to an entirely new level, providing enhanced protection and keeping your organization a few steps ahead of potential attacks.

To see this innovative technology in action, simply click here and request a free product demo.

How to Get Critical Systems Back Online in Minutes

5 Cybersecurity Mistakes That Could Be Placing Your Company in Danger

5 Cybersecurity Mistakes That Could Be Placing Your Company in DangerWhen it comes to keeping your organization and all the data you maintain secure from potential breaches, you may believe you know the basics. You may even think you’ve got it all together, with all the right strategies, tools and technologies in place to ensure maximum protection. But there are a few mistakes that many companies make without even realizing they’re doing so. And the consequences of those errors could be incredibly costly, both financially and reputation-wise. If you or your cybersecurity team are committing any of the following blunders, your business could be at risk.

Being overconfident.

Some IT leaders make the egregious mistake of believing that cybersecurity isn’t really that much to be concerned about. For instance, some think that because they’re a small business, cyber criminals aren’t interested in the information they possess. Others, such as end-users, believe that their IT team will handle everything. The fact is, cybersecurity is something companies of every size and all employees absolutely must account for. Otherwise, your firm will become a sitting target.

Neglecting the power of email.

Many companies invest tons of money, time and resources into protecting their network and infrastructure, yet somehow forget to secure email communications. The fact is, email remains one of the most effective tools used by cyber criminals to gain access to the sensitive data they’re after and if you’re not using the right kind of protection – namely two-step verification and encryption – you’re placing your company at risk. It’s equally important to educate all users about how to spot phishing and other social engineering attempts.

Inadequate password policies.

Weak passwords are a hacker’s dream come true. Despite this fact, it’s alarming how many people still use passwords like ‘12345’ or ‘admin’. Not only do people use these easy-to-guess passwords, but they often reuse them on multiple systems, making it simple for a cyber-criminal to gain access to any number of systems and applications. This is a huge problem for companies that must be addressed through the development and implementation of strong password policies.

Thinking anti-virus is enough.

Many otherwise savvy individuals make the costly error of believing that anti-virus software is enough to keep their sensitive data secure. The fact is, today’s hackers are becoming more sophisticated and persistent by the day, which means they’re identifying newer vulnerabilities to exploit – vulnerabilities that cannot be detected with traditional malware prevention methods. To truly be safe, the use of automated cybersecurity incident response powered by machine learning is strongly recommended.

Not backing up data.

The fact is, even the strongest cybersecurity strategy can be infiltrated by a dedicated enough hacker. It’s no longer a question of IF you’ll be attacked, but rather WHEN. As such, engaging in regular data backup activities can ensure that should your infrastructure be compromised, you can get back up and running quickly and with minimal impact. For instance, when your data is backed up, a ransomware attack can be neutralized since there will be no need to pay the fee in order to regain access to files. Instead, the infected files can be isolated and eradicated and data restored from your backup.

These five cybersecurity mistakes are surprisingly common. Thankfully, correcting them isn’t impossible. If you recognize any of the above occurring within your organization, the time to take action is now. Start by implementing the right policies, educating employees and investing in the right technology to keep your information as secure as possible.

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

Join us at the 2017 MPOWER Cybersecurity Summit!

JOIN AYEHU AT MPOWER 2017 + GET A FREE EXPO PASS!Ayehu is excited to announce its participation in this year’s McAfee MPOWER Cybersecurity Summit (formerly the FOCUS conference). The US leg of the summit, scheduled to take place in Las Vegas, NV from October 17th-19th at the Aria Hotel & Casino, will offer deep dives and technical content to help attendees better manage their organizations’ cybersecurity posture.

What’s truly unique about this global gathering is that participants will be able to co-create the industry’s first on-demand, face-to-face event. As an audience member, you will be able to select the topics and demos that are presented in real-time based on what’s most important to you. Participants will essentially guide the program and shape the agenda with live input, being empowered to choose the content and drive the conversations. It’s an experience unlike anything else in the industry before.

The Ayehu team is thrilled to be a part of such a monumental and game-changing event. We will be stationed at booth #304, where you will be able to

  • Enjoy a live demonstration of our recently released AI-based automation platform
  • Meet with our security automation experts and get your questions answered in real-time
  • Make a memory with us (we’re giving away some cool picture magnets)

Because we know that you have busy schedules, many demands on your time and different goals to achieve at the conference, we are inviting you to schedule in advance a meeting with our team during the conference. Simply fill out your contact information on this form and someone from our team will be in touch to schedule your demo.

We’re also pleased to be offering FREE EXPO PASSES. You can take advantage of this offer by using the code SPOCAYEHU6513 when registering.

Don’t miss one of the most incredible experiences in the cybersecurity realm. Join us at MPOWER. We hope to see you there!

 

How AI Can Bring Your Cybersecurity to the Next Level

How AI Can Bring Your Cybersecurity to the Next LevelArtificial intelligence and machine learning are starting become buzzwords in just about every industry. Cybersecurity is no exception. In fact, even governments across the globe are jumping on the bandwagon in an effort to enhance the security of their sensitive data. Yet, despite the growing adoption, many of security agents are struggling with misconceptions and confusions surrounding the different types of solutions available on the market today. If you are among them, here’s what you need to know about how AI is disrupting the information and network security realm.

The first point to consider is the difference between traditional automation and intelligent automation powered by machine learning. While both function toward the same end-goal of streamlining and automating manual cybersecurity tasks, such as incident detection and remediation, intelligent automation takes things a step further by augmenting human intelligence, which is both costly and unscalable. Most importantly, this is done without sacrificing reliability and quality of the processes being automated.

The real difference comes into play in the area of decision making – something all cybersecurity leaders are responsible for. With traditional automation, lots of data is gathered and can be turned into reports which can then be used to help human agents forecast and plan for the future. With machine learning, that data is analyzed by artificial intelligence at a rate far faster than any human could possibly compute. The result is more accurate, precise and valuable information for making better business decisions. When you can leverage data more effectively, you can better protect your organization moving forward.

Expanding on this, automation powered by AI is capable of quickly detecting and identifying entirely new classes of threats. Over time, these agentless systems continuously learn, adapt and improve, becoming even more effective at detecting incidents, analyzing attacker behaviors and even managing more obscure threat events. At the same time, deep learning algorithms sift through mountains of data in real-time to uncover and provide valuable insights into threats and enable rapid, highly effective improvements to cybersecurity remediation processes.

The long-term goal of AI powered automation is to achieve even greater flexibility and enhanced thinking capacity that is as close to the human mind as possible. The result will be a genius system that is faster, more consistent and far more effective at maximizing cybersecurity than human agents ever could be. Such a platform, just like the human cognition its designed to mimic, will be capable of adapting and learning new tasks and processes, arriving at its own conclusions and making its own intelligent decisions.

What could your organization achieve with this level of cybersecurity protection? Believe it or not, this is not a far off goal or figment of the future. Automation powered by machine learning is here now, and you can see it in action today by clicking here.

Bring your company’s protection to the next level with the next generation of IT automation.

eBook: 5 Reasons You Should Automate Cyber Security Incident Response

MSSPs: Why IT Automation is the Secret Sauce for Success

MSSPs: Why IT Automation is the Secret Sauce for SuccessWhen the topic of security automation comes up, it’s typically in the context of enterprise Security Operations Centers (SOC). The fact is, there’s another group that can benefit tremendously from IT automation and that’s Managed Security Service Providers (MSSP). MSSPs face many similar challenges that traditional SOCs encounter, such as huge volumes of data, case management, reporting and, of course, staffing shortages. In fact, for MSSPs, these problems are often compounded.

Unlike SOCs, MSSP analysts support multiple clients simultaneously; oftentimes each with their own individual security platforms and runbooks. As a result, analysts often receive numerous alerts from a multitude of tools that must be resolved according to each client’s service level agreement. Not only can this be confusing, which can significantly increase the likelihood of errors, but it can easily lead to alert fatigue, frustration and burnout.

Keeping up with security alerts is challenging even for smaller organizations. For MSSPs monitoring 30, 50, 100 or more individual clients, the complexity becomes monumental.  Likewise, the combination of multiple endpoints, different network configurations and application security platforms, coupled with managing their own threat intelligence and analytics, the issue becomes even further complicated. All of this can make resolving incidents in a timely manner incredibly difficult, even for the most agile, capable team. For these reasons, many MSSPs are now turning to IT automation as a solution.

When it comes to operating a successful MSSP, the ability to standardize is absolutely essential. Additionally, with multiple players entering the field, the competition is becoming much more intense. Continuous innovation is the key to survival. Operational standardization enables MSSPs to become more innovative by streamlining and automating the high-volume, repetitive manual tasks that bog down operations teams.

With IT automation, MSSP analysts can dramatically improve efficiency and therefore support more customers and handle more use cases. In fact, shifting from human to intelligent machine may even facilitate smaller teams to compete with larger competitors. In other words, IT automation allows MSSPs to do more with less. From a business perspective, this means greater profitability across the board. Additionally, having automated processes can help in terms of attracting and retaining top talent.

Simply put, the automation of MSSP activities benefits everyone. Security analysts can take on more clients at a lower operating cost while delivering a higher level of service. As a result, clients are more secure and satisfied. Meanwhile, operations teams enjoy the ability to apply their high-level skills to more fulfilling tasks and projects, thereby improving staff morale and performance. With IT automation, everyone wins.

Ayehu provides intelligent machine learning driven decision support via suggestions to optimize MSSP workflows, speeding up operations and reducing workload. Want to see it in action? Request a demo today!

5 Ways to level up your service desk using it process automation