In security information and event management (SIEM) we rely on software to help identify patterns which indicate security threats. A series of failed login attempts, for example, will generate a ticket alerting a Security Operations Center (SOC) analyst that someone may be trying to hack into the system. (Note that SIEM solutions are increasingly being incorporated into overall Extended Detection and Response (XDR) solutions. Read this article for an overview of Managed XDR.
With any monitoring solution, one of the biggest challenges is the dreaded false positive. A false positive is any alert triggered by a rule that’s written too broadly, causing it to issue a ticket over an event that’s not a legitimate security threat. A false positive is the equivalent of a home motion-sensor alarm that goes off every time the wind blows through the backyard trees. Before long, the homeowner ignores the alarms, leaving them off-guard when it really IS a burglar setting off the alarm.
For IT teams that don’t have an in-house SOC or a managed service supporting them, the daily stream of false positives from a SIEM leads to alert fatigue, which produces frustration and growing inattention to alerts in general. One major IT survey found that 44% of alerts go uninvestigated.
Clearly, narrowing the focus to real threats raises an IT team’s chances of spotting problems and fixing them.
Discovering false positives using SIEM can be a lot like playing the game Guess Who. The player’s objective is to guess the Mystery Person on the opponent’s card by asking one question per turn (Such as, “Are they a man?”) and eliminating any gameboard faces that don’t fit the Mystery Person’s description. In a SIEM setting, we are working to eliminate false positives so that the only alerts we see represent actual threats.
Players usually start with generic questions, but broadstroke guesses still leave us with a board full of faces. On the other hand, asking questions that are too specific takes a long time to narrow down the options. In SIEM, if we write rules that are too generic, we’ll face numerous false positives that only cause clutter and confusion. If we write rules that are too specific, we may miss critical incidents that leave our systems vulnerable. The key is to make educated decisions based on the data (or gameboard faces) in front of us. We start with a wide data set and use logic to narrow the results.
Continuing with our Guess Who analogy, let’s say we’ve narrowed the field to two options. Our final choices look very similar: Both are male, Caucasian, and bald, and both have orange hair. But we know they aren’t the same. If a SIEM solution’s rule is searching for Bill using the criteria listed above, Herman represents a false positive. Herman and Bill meet all of the same “threat” criteria we’ve listed so far. The solution is finding a factor unique to Bill, such as a small nose. If we add this final condition to the original filter criteria, the false positive disappears.
When dealing with a SIEM solution, this shows the value of an experienced, well-trained security analyst. As good as machines are with calculations and patterns, they often need the human element to spot a real threat and a false positive. At Pratum, we constantly upgrade the ruleset of our SIEM solution based on the expertise of our security analysts and consultants.
Our security analysts examine event logs to identify pieces of information that the software wasn’t considering. For example, in a case of failed logons, an analyst would look in the raw log for the error code that gives the reason for the authentication failure. If the error code indicates that the password has expired, the analyst could typically conclude that it is not a serious security incident. By adding that insight to the existing rule, the analyst can eliminate future false positives from this kind of event.
Although most false positives don’t pose an immediate security threat, any false positive can be a major distraction from threatening incidents. For example, a DNS configuration problem might constantly produce authentication issues on a network. It may be tempting to ignore an alert once you’ve decided it’s a false positive. But if you do that with several false positives you’ve learned to ignore, and several of them generate multiple alerts each day, you’ll soon get lost in daily noise that distracts you from legitimate security problems.
Remember that it costs the same amount of money to license a poorly tuned SIEM system as a well-tuned one. It’s worth investing in a managed service that can help you get the most from the tool you’re paying for.
Extended detection and response (XDR) has become one of the hottest cybersecurity trends. XDR platforms offer impressive capabilities out of the box with their combination of SIEM, endpoint protection and other tools. But managed XDR services are critical to helping these tools reach their full potential.
XDR platforms offer three key advantages:
Active monitoring of your entire technology stack (including the cloud).
Real-time threat hunting and mitigation.
A well-integrated security stack built on a single vendor’s tools (Microsoft, in Pratum’s case).
XDR also gets a lot of attention as the next evolution in managed endpoint protection based on its ability to improve continually through machine learning. But XDR typically reaches its full potential only in a managed XDR setting. XDR needs Security Operations Center (SOC) professionals tuning the SIEM, endpoint protection and other tools in response to ever-changing environments, emerging best practices and the latest threat-defense strategies. You could think of XDR like a race car. It’s fast with anyone at the wheel, but it takes a professional driver to truly tap into the car’s capabilities. In this post, we look at how managed XDR constantly improves threat hunting on its own and how analysts tune the solutions for specific environments.
(Read this blog for an overview of XDR’s key components and advantages.)
As XDR’s threat detection monitors all corners of your data environment with SIEM, endpoint protection, etc., it continually builds profiles of the attack vectors you face. In other words, every attack on your system literally makes it stronger as the XDR solution builds a database of actions designed to see and stop similar attacks in the future. While some of these profiles come built into the solution, a managed XDR provider can tune and create custom learning models specific to your business, data and network.
But your XDR solution’s ongoing education isn’t confined to what’s happening in your environment alone. Top managed XDR providers continually analyze security events worldwide and incorporate the insights into your system’s performance. For example, Microsoft reports that it analyzed 1 trillion security events in 2020, up from 300 billion in 2019. Every one of those events rolls up into the XDR’s machine learning, giving it something like the institutional wisdom of an intelligence agent who can personally watch and learn from every crime scene worldwide for years on end. SOC analysts can also build on this intelligence by correlating threat actors that are performing suspicious activity and reconnaissance against your organization’s systems and employees.
A managed XDR provider like Pratum also strengthens your XDR system based on situations we’ve seen throughout our client base and through our years of customizing rules for SIEM situations. We leverage every lesson learned across all the systems we manage, giving each client a best-in-class XDR installation, regardless of their organization’s size.
Many XDR vendors promote their solution’s productivity right out of the box. At Pratum, we agree that XDR can immediately provide a marked step up from a traditional security stack as it extends threat detection and automated response into every area of your technology system and helps tools such as your SIEM and endpoint protection talk to each other. But a lot of XDR marketing understates the significant advantages you can gain from human experts tuning the solution. Pratum’s SOC analysts sit between the automated alerts and the customer, reviewing and responding to incidents. A SOC analyst provides a determination and recommendation for each alert, and they can answer client questions or provide additional context when needed.
It doesn’t matter how sophisticated the technology is if you aren’t monitoring the correct devices or logging the necessary event data. Pratum’s managed services helps clients ensure that their system is monitoring the right devices and delivering the right data so that machine learning and artificial intelligence can effectively do their jobs.
Pratum clients consistently find that retaining a cybersecurity firm for their managed XDR platform easily pays for itself in increased efficiency and security. Remember that it costs just as much to license a poorly tuned XDR as a finely tuned system. So it makes sense to invest an incremental amount on management to significantly increase your platform’s effectiveness.
Managed XDR pays off on Day One of provisioning as your organization decides what data to capture. If your configurations send the wrong event information to the system, even the best rules for reviewing login attempts, for example, never get to do their job. Mediocre provisioning is like hiring a 24/7 security team but installing security cameras that can’t see anything at night.
Without the support of a managed XDR provider, many IT teams get only halfway there with XDR provisioning. For example, our analysts frequently see systems configured to report only the traffic that gets through the firewall. If the firewall blocked an activity, you don’t need to worry about it, right? But XDR systems also need to see failed activity in order to get the full story and identify unsuccessful attempts.
Similarly, we’ve seen IT teams set up monitoring only for failed login attempts. Successful attempts must be legitimate and above review, right? But even successful, legitimate login attempts educate your XDR as it builds a picture of the baseline information that typifies a legitimate login. XDR systems can learn, but only if you’re giving them the necessary data. Think about your own daily routine during the week. You leave home at roughly the same time, take the same route to work, etc. Even if someone was able to steal your car, go to your house and use your garage door opener, they would still be tripping several alarms in XDR’s world by coming home at an unusual time of day, etc.
With XDR, as with any automated system, humans must continually recalibrate the automatic responses. On the outside, attackers continually devise new tricks. On the inside, an IT team constantly adds and removes devices, services, users and more. Software and firmware get upgrades. As all of those elements change your system, a SOC team ensures that your XDR adjusts properly.
For example, an off-the-shelf XDR system might spot someone trying to login with an employee’s credentials from a new geographic location. If XDR deems the login suspicious and shuts it down, it may be locking out an employee trying to check in from the road. Once analysts know the situation, they could create a specific rule that lets the employee log in from that location going forward. But how would you write such rules for hundreds of employees who don’t notify IT every time they take a trip? Realistically, most IT departments would just start ignoring those alerts after a few of them turn out to be traveling employees. Alert fatigue has done its work.
Managed XDR analysts can do better. They could program rules to ask things like, How often has this employee logged in from different locations in the last six months? How many of those have been outside the U.S.? Is this attempt using that user’s normal web browser? Instant answers to those questions can help the system decide whether to shut down the attempt. Most XDR systems have these capabilities, but it takes a managed XDR provider watching industry-wide trends to truly tune the tools effectively.
Managed XDR also constantly measures how well your security stack is functioning. For example, Pratum’s device assessments typically find that the antivirus software on many endpoint devices hasn’t been updated since it was installed or that security tools are misconfigured. XDR can provide visibility to the business based on these security layers and report back how vulnerable the devices are and how much exposure the organization faces as a result. Similarly, XDR can look at how many attempts your firewall is blocking every day, confirming whether it’s doing its job. When aggregated, these metrics provide the business accurate information about its top risks and ways to improve.
That kind of insight becomes especially powerful when combined with a consultant’s expertise. Working together, XDR and a consultant provide a full picture of the people, processes and technology (the PPT fundamentals of information security) that make up your organization’s security. While the consultant is assessing the people and processes, managed XDR reviews the technology. With consultants and your SOC working hand-in-hand, you can eliminate gaps that commonly sabotage security stacks.
We’re ready to help you review how managed XDR could make your security stack more efficient. Contact us for a free consultation.
One of this year’s biggest cybersecurity trends promises help for IT professionals drowning in messages pouring in from every corner of their technology stack. If that sounds familiar, it’s worth taking a few minutes to learn what Extended Detection and Response (XDR) solutions can do. These platforms recognize that gathering more data isn’t the solution. The real challenge is collecting the right data from every corner of your technology ecosystem and coordinating an effective response in real time.
XDR expands on the capabilities of traditional Security Information and Event Management (SIEM) and Endpoint Detection and Response (EDR) tools. While those resources undoubtedly made organizations more secure, they can leave a lot of gaps, especially in settings without dedicated security experts managing the tools. With all the diverse layers in most security stacks and the dramatic rise in employees working from home, it’s time for a leap forward. That has driven the development of XDR, which encompasses SIEM, next-generation endpoint protection and threat hunting.
XDR solutions provide a more complete view of activities across your entire data estate and take proactive action against hackers. XDR can:
XDR systems automate much of the monitoring and response, thanks to artificial intelligence and machine learning. With a cybersecurity consultant fine-tuning the system, XDR solutions continually spot emerging threats unique to your environment and stop them in their tracks. In this blog, we’ll summarize how XDR platforms work. And in the next post, we’ll share examples of how a well-tuned XDR system gets more effective every week thanks to customized provisioning, playbooks and more.
You’re probably wrestling with a security stack that consists of multiple tools for endpoint protection, SIEM, antivirus and more. Those tools most likely come from a variety of vendors and stretch across on-prem, cloud, and remote work environments. With alerts popping up each day on multiple dashboards, your security stack tends to feel less like a well-oiled defensive machine than a loose coalition of militias spread across your frontier. It’s hard to tell when two alerts coming from different corners of your environment are actually part of a single, larger event. All that distraction from false positives and alert fatigue leaves bad guys a lot of defensive gaps to sneak through and a lot of network chatter to hide in.
Larger cybersecurity trends only amplified the challenge in 2020 as most organizations saw their workforce scatter across a wide range of personal devices and unknown networks. In most organizations, it’s time for a solution that pulls all of it together.
XDR’s basic value proposition is monitoring the full extent of your technology ecosystem, turning daily noise into a meaningful signal and into actions that actively stop threats. In a simple example, XDR will notice a correlation between something happening on one of your firewalls, something happening on one of your endpoints and an activity in the cloud. Before XDR, those may have simply shown up as multiple alerts on multiple dashboards. XDR connects the dots and surfaces a meaningful alert. In one recent test, for example, Microsoft’s XDR solution used its machine learning tools to reduce 1,000 alerts down to 40 high-priority incidents. Default rules associated with traditional SIEM solutions typically don’t provide enough customization or sophistication to protect businesses like that. Several factors can cause this, but the problem usually involves too many alerts that turn into false positives and lead to alert fatigue.
An XDR solution offers not only advanced threat detection, but the ability to stop threats, even if it’s an attack no one has ever seen. With a traditional SIEM/SOC setup that lacks properly tuned automation rules, alerts travel to an incident responder, who must determine whether the activity represents a threat. If they decide it’s a bona fide security event, they then must identify the action to take and then manually deploy the proper remediation. In an XDR environment, all of that happens automatically, sometimes within milliseconds.
An XDR solution typically consists of the following elements:
XDR actively monitors traditional devices such as servers, routers, firewalls, endpoints, mobile devices and IoT devices. But it also extends to cloud computing and storage services, as well as SaaS tools such as Microsoft 365, Dropbox and more.
When you open the XDR dashboard, you’ll see how a threat entered your system, the damage it’s trying to do and how it’s attempting to pivot among different devices. And thanks to XDR’s threat hunting and response features, it can close off attack vectors long before you review the alert or report.
As you consider the best way to protect your organization in a cost-effective way, we recommend exploring the advantages of moving to Managed XDR.