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How to Use Behavioral Analytics to Stop Ransomware in Real-Time

Detect ransomware early with AI-powered behavioral analytics.

How Real-Time Behavioral Analytics Stops Ransomware

I’ve been in cybersecurity long enough to remember Slammer taking down whole networks in under 10 minutes. We didn’t have the fancy AI-driven tools, we didn’t have behavioral analytics — we just fought fires as they erupted. Now ransomware is more than a pain in the neck: it’s an existential menace to companies. And if you’re still counting on traditional antivirus and static firewall rules to block it, well — good luck.

The way forward? Behavioral analytics. It doesn’t simply compare files to known threats. Instead, it observes how users — human and machine — actually use the network. Suspicious deviations? Flagged instantly. Perhaps even intercepted before they can wreak havoc.

Here’s how it works, why it’s more effective than signature-based detection, and how we at PJ Networks employ it to halt ransomware in its tracks.

What is Behavioral Analytics?

Behavioral analytics is like watching a chef at work in the kitchen. If someone is making pasta, you might expect to see them boil water, pass salt through it, add pasta, stir for a bit — nothing out of the ordinary. Now picture that, all of a sudden, they start pouring in sugar, ketchup and eggs. That’s weird, unexpected behavior. Not a great dish coming out of that pot, likely.

In cybersecurity, behavioral analytics does this for network activity and user actions:

  • It sets a demarcation for what regular behavioral patterns are
  • Records deviations from that baseline over a period
  • Indicates potential risks when an action is outside of normal behavior

Traditional security relies on signatures of known threats, while behavioral analytics looks for phenomena that have not occurred before. This makes it very effective against zero-day ransomware.

How It Finds Suspicious Activity

I get clients who tell me “Oh, but Sanjay, we already have a firewall & endpoint protection!” Sure, those are helpful — until the ransomware mutates and evades those static defenses.

With behavioral analytics, instead of waiting for an attack to be recognized by security labs, you’re spotting odd behavior in real-time, even if you’ve never seen it before.

So, what does behavioral analytics analyze?

  • Uncommon File Activity: If it suddenly seems a user is encrypting a large number of files, that’s a warning sign.
  • Odd Logins: If an employee in Mumbai logs in from Germany at 2 AM, something’s up.
  • Rapid Lateral Movement: Ransomware propagates with speed within the environment. Behavioral analytics picks up on this.
  • Unusual API Calls: Malicious code often interacts with the OS in ways that legitimate applications do not.
  • Mass Data Transfers: If massive amounts of data are suddenly being exfiltrated, that’s a problem.

I witnessed this firsthand when working with a recent banking client. Their security tools never found a ransomware attack they were facing — until we deployed behavioral monitoring. It automatically shut down when it detected a process encrypting files at abnormal speeds. No static signatures. No predefined rules. Just raw behavior, that’s it.

AI-Based Cybersecurity for Ransomware Detection

Now, before I get on my soapbox — yes, there are great AI-based security solutions. But AI isn’t magic. If a company offers you “AI cybersecurity” that doesn’t require manual fine-tuning, run away.

AI can be used for behavioral analytics — but only if:

  • It’s properly trained on your network’s data (and not some generic datasets)
  • It learns based on YOUR unique environment over time
  • It augments rather than replaces human security analysts

Blind trust is the biggest mistake companies make with AI-driven security. AI alone will not save you. In fact, I had one recent case where an “AI-driven” security tool completely missed a ransomware attack because it deemed the activity normal. Why? Because it wasn’t well trained to do so. That’s why human expertise + AI is better than just AI. Every. Single. Time.

We do inject AI-based behavioral analytics into our protective strategy here at PJ Networks — but we tailor the detections to the unique needs of our clients. That means you don’t have a generic AI model trained that doesn’t have a clue what your business looks like under normal operating conditions.

Behavioral Security Solutions – PJ Networks

I’ve managed security implementations for banks, manufacturers and government sectors, and the same rule holds true across the board: if you don’t monitor behavior, you are making yourself susceptible to ransomware.

Here’s what PJ Networks does to keep businesses safe:

  1. User & Entity Behavior Analytics (UEBA)
    • Monitors normal user activity and detects anomalies
    • Identifies privilege escalations and credential abuse
    • Prevents aberrant login behavior before it can do harm
  2. Real-Time Process Monitoring
    • Monitors for rogue file encryption
    • Automatically terminates dubious file changes
    • Prevents ransomware before it widely destroys
  3. Network Traffic Analysis at an Advanced Level
    • Identification of high-speed lateral movement (ransomware all over)
    • Detects potential critical data exfiltration
    • Uses generalization but also manual fine-tuning to avoid false positives
  4. Zero-Trust Enforcement
    • Recently assisted three banks in their implementation of zero trust
    • Makes sure no user or application has excessive access
    • Even if ransomware gets in, it’s contained

I’ve seen far too many businesses miss these strategies — until it’s too late. If you currently lack behavioral analytics, make that your top priority today.

Conclusion

Ransomware is not going anywhere. If anything, it is becoming faster, more intelligent and nastier. The only way to stop it effectively is to observe how users and machines are behaving — as opposed to what’s in your antivirus signature database.

Quick Take:

  • Behavioral analytics looks for anomalous activity, rather than static threats.
  • It identifies zero-day ransomware and new attack methods.
  • AI cybersecurity is effective — but ONLY when it complements human know-how.
  • Real-time detection and automated response are at the heart of PJ Networks’ solutions.

I just got back from DefCon, and one thing was clear across the boards there, even in the hardware hacking village: Everything is hackable if you’re not paying attention. Don’t let your business be the one that didn’t keep a sufficiently judicious eye.

And because ransomware does not wait for anyone. Stay proactive. Stay secure.

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