How much time do you spend reviewing alerts that turn out to be harmless?
In many teams, a single alert takes around 30 minutes to investigate.
Not because it’s complex, but because you have to pull context from multiple tools before reaching a confident verdict: reputation checks, enrichment, detonation requests, log pivots.
At scale, that leads to growing backlog, escalation pressure, higher operational costs, and slower response to real threats.
What if most benign alerts could be closed in an average of 2 minutes? Here’s how interactive sandbox analysis helps you save 28 minutes per alert and reduce investigation overhead.
Where the 30 Minutes Actually Go
No one plans to spend 30 minutes on a single alert, yet it often unfolds that way.
You start by checking the hash and searching threat intelligence sources. Then comes detonation, log pivots, and another look at the alert details to make sure nothing was missed.
Each step feels reasonable on its own, but together they stretch the investigation far longer than expected.
The alert may not even be sophisticated. The real delay comes from having to piece together context before you can clearly see what the file or link is actually doing.
The 2-Minute Solution: Review Alerts Through Interactive Execution
What if you could see the answer before you start searching for it?
Instead of piecing together fragments of reputation data and enrichment results, you run the suspicious file or link inside an interactive sandbox, such as ANY.RUN and watch what actually happens.
Processes spawn in real time. Network connections appear instantly. Redirect chains unfold in front of you. You interact with the page exactly as a user would.
In seconds, uncertainty disappears.
Benign alerts show no suspicious behavior and can be closed confidently. Malicious ones reveal their full chain immediately, giving you clear evidence for escalation and response. The decision is based on observable behavior, not assumptions.
Real-world analysis of complex phishkit attack
In the following sandbox analysis, the alert was reviewed in just 35 seconds, revealing a complex hybrid phishing chain combining Salty2FA and Tycoon 2FA.
What looked like a simple suspicious link turned out to be a multi-stage credential harvesting attack, uncovered almost instantly through interactive execution.
See how behavior-first sandboxing reduces review time, lowers escalations, and provides clear evidence from the first minute. Cut 28 Minutes from Every Alert
Why Reviewing Alerts in a Sandbox Changes Everything
The speed comes from seeing behavior immediately.
In most environments, about 90% of alerts receive a first verdict within the first 60 seconds of sandbox execution. Once the file or link runs, the uncertainty drops quickly because the activity is visible from the start.
The sandbox combines automation with interactivity. It behaves like a real user would, triggering redirects, following infection chains, and uncovering malicious content hidden behind QR codes or CAPTCHA gates.
You don’t have to manually reproduce every step to see where the chain leads.
At the same time, you can interact freely, click through pages, submit data, download payloads, and observe the full response in real time.
You can immediately see how the process tree unfolds, which parent process launched what, and whether anything suspicious branches out.
Network connections show up in real time, so outbound traffic or command-and-control attempts don’t go unnoticed.
If the sample drops files, modifies the registry, or triggers browser activity, all of it is available in the same session without jumping between tools.
Indicators of compromise are collected automatically and organized in a dedicated tab. Domains, IPs, hashes, URLs, everything extracted from the session is available without switching tools or copying artifacts manually.
You don’t have to jump between views to build your IOC list. It’s already structured for you.
When the investigation is complete, the well-structured report is already built. It includes behavioral evidence, screenshots, network data, and extracted indicators.
If escalation is required, you share the session instead of rewriting the findings. That alone removes several extra minutes from every case.
This is where the minutes disappear. Context appears immediately, decisions happen earlier, and alert review stops stretching into half an hour.
Turn Faster Alert Reviews into Measurable SOC Results
Saving 28 minutes per alert review changes more than a single workflow. It reduces the “time tax” that slows down every queue, forces unnecessary escalations, and stretches response timelines.
SOC teams implementing ANY.RUN report:
- 21 minutes less MTTR per case through faster evidence and earlier containment
- 30% fewer Tier-1 → Tier-2 escalations thanks to clearer verdicts and stronger evidence
- 94% of users report faster triage and quicker decisions on suspicious activity
- Up to 3× SOC efficiency by recovering analyst time and improving throughput
- Stronger SLA performance with faster closure of benign alerts and quicker escalation of real threats
- Lower tooling overhead by avoiding hardware setup costs with cloud-based execution
- Less alert fatigue with instant visibility into what’s happening in the session
Integrate ANY.RUN into your workflows to speed up triage, cut escalations, and reduce MTTR with execution-based evidence from the first minutes of every investigation.
