How We Reduce Alert Noise for MSPs by 99.99%

We’re in an alert noise crisis.
Managed detection and response (MDR) was designed to help reduce the volume. By outsourcing the monitoring of non-stop alerts from endpoint detection and response tools, analysts could catch the critical threats and close everything else.
But today’s reality looks different: 73% of organizations list false positives as their leading challenge in threat detection.
Low-fidelity alerts and false positives still flood your team’s queue, consuming valuable time and driving burnout. Below, we’re exploring where MDR fails — and how automated detection and response (ADR) reduces alert noise by 99.99%.*
Not enough context
Traditional MDR analysts are operating from the outside, often lacking critical context on your clients, such as where employees operate, which users are VIPs, and what patterns to expect from day-to-day work.
Analysts need to remember key details for dozens of customers while also meeting promised service level agreements (SLAs), a binding timeframe for the response and remediation of cyber threats.
Documentation and training can help analysts “learn” each organization, but details can (and likely will) slip through the cracks. When they do, you’ll receive alerts about “suspicious logins” that are actually regular work from an offshore office, or a benign use of PowerShell from a system administrator.
Their lack of internal knowledge results in more work for you and your team. On the flip side, automated detection and response (ADR) learns your users, memorizes benign activity, and bridges the gap left by human-led protection.
Automated detection and response (ADR) learns your users, memorizes benign activity, and bridges the gap left by human-led protection.
Wirespeed ADR learns who your users are…
Not all users should be treated the same. For example, a system engineer might use PowerShell to automate data-processing tasks, but a sales representative likely doesn’t know what PowerShell is and will never use it. With a little scrutiny, you can flag one as benign and investigate the other for potential malicious activity.
Wirespeed ADR integrates directly with your user directories, such as Microsoft Entra and Google Workspace, to monitor identity detections. From there, built-in automation rules locate users in the following categories:
Administrators
VIPs (C-Suite/VPs)
Technical
Financial
Non-human
Identity detections drive the triage and response process. For one, we should know your VIP users, as they are particularly high-risk if compromised. The same goes for administrators. You can apply auto-containment for VIPs — where ADR instantly kills active sessions — or allow VIPs to confirm suspicious behavior first to avoid disruption in their workday.
… and where they should (or shouldn’t) be
Traditional MDR providers may try to catch suspicious logins or impossible travel by checking IP reputations or analyzing session consistency, but this is challenging to do accurately and at scale. For the most part, it turns into guesswork. And you end up with a pile of false positives in your queue.
Wirespeed ADR isn’t making assumptions. We remember user behavior, as seen in the case below:
An employee had multiple logins from suspicious IP addresses
The employee normally worked from Kentucky, but was attempting to access the account from California
More alarming: The IP addresses were associated with a Romanian hosting provider
All signs pointed to a compromise — and Wirespeed ADR contained the user’s account in 5 seconds
The communication problem
Traditional MDR offerings avoid “breaking the fourth wall” of cybersecurity. Instead of directly contacting users about suspicious activity on their account, analysts will send the alert to your team for review. You contact the user, confirm the legitimacy of the behavior, and close the alert. Wait, how did you end up doing all the legwork?
For the most part, this isn’t the fault of the analysts. It’s a design flaw in traditional MDR. Human analysts don’t have the time, organizational knowledge, or capacity to directly follow up with individual employees. To save time and avoid liability, analysts rely on you to do the outreach.
ADR flips the script
Wirespeed ADR goes straight to the source. Most alerts require more context before a decision can be made, but that doesn’t mean there needs to be more work on your plate. With ChatOps, ADR directly contacts users following suspicious activity. We use the same tools you do, such as Slack, Teams, email, or SMS to get in touch.
If a user has logged in from an unfamiliar location, they’ll receive a notification asking if it was them directly. If it wasn’t them, they are unsure, or we don’t hear back, the alert is escalated to a manager or the security team.
Slowed by the human bottleneck
As AI-enabled attackers move faster and at scale, MDR teams are being challenged with responding faster to critical alerts while still making sound judgment calls. Simply put, it’s an operational nightmare.
Every critical alert requires triage. Someone has to review, gather context, determine severity, and take action. Not only does this all take time, but it also requires that analysts possess the institutional knowledge for each and every client while keeping up with complex technology stacks.
And is that even enough? In 2019, defenders had roughly nine hours to respond once an attacker gained initial access before they moved laterally to other systems. In 2025, that window fell to an average of 29 minutes.
Most standard SLAs are unable to guarantee response times faster than that. And realistically, the onus of responsibility to respond or contain still lands on your team. Overwhelming alert volume combined with a high percentage of false positives can easily result in burnout, overlooked threats, and real losses for your clients.
By combining a conditional logic-first approach with probabilistic AI, ADR replaces human guesswork with ultra-fast, evidence-driven verdicts.
The future is automated
Wirespeed ADR takes the human bottleneck out of the equation. By combining a conditional logic-first approach with probabilistic AI, ADR replaces human guesswork with ultra-fast, evidence-driven verdicts. How it works:
Data ingested: Logs are ingested in real-time from EDR platforms, mobile device management software, identity providers, Cloud/SaaS platforms, and networks. In addition, ADR digests raw data signals across all security layers.
Automated threat triage: The verdict engine is fueled by a conditional logic algorithm that executes a deterministic decision tree, while probabilistic AI detects behavioral anomalies.
Response: Wirespeed ADR engages end-users through ChatOps when necessary, and upon a confirmed malicious verdict, isolates endpoints or user accounts via API.
Turn down the volume on alert noise
AI-enabled attackers combined with tired human analysts trying to keep up results in an overwhelming number of alerts added back to your queue. But you don’t need to succumb to the noise.
Wirespeed ADR is contextually aware, breaks the fourth wall, and automates decision-making so your team can avoid alert fatigue and focus on the risks that really matter.
Talk to our team about how Wirespeed ADR can help you reduce alert noise by 99.99%.
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