Prevent ransomware before it starts

Data loss. Downtime. Reputation damage. Why wait for a ransom note when you can detect the early signs of an attack? With AI-driven ransomware detection and response, you can gain an unfair advantage over attackers.

The rising risks of ransomware

There’s no “if” about it. Ransomware will get into your hybrid cloud infrastructure — if it’s not already there. Seven in 10 CISOs expect to be successfully hit by ransomware within a year,* and new ransomware variants are produced every day.

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It takes 49 days longer to identify and remediate ransomware compared with other types of attacks.*
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The average cost of a successful ransomware attack is now $4.5 million.**

The good news? Organizations with fully deployed AI identify and contain breaches 28 days faster than those that don’t.

Early ransomware detection means business as usual

Problem is, attackers know how to evade traditional cybersecurity tools. They frequently slip past endpoint detection and response (EDR) solutions and know how to evade MFA and VPNs. And while SEIM and SOAR playbooks are vital to cybersecurity, they won’t show you when an account is already compromised or if bad actors have infiltrated your network. These realities make it easy for unknown threats to blend in and progress unseen.

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of successful cyberattacks use vulnerabilities that are more than two years old*
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of security leaders think attackers have already infiltrated their environment — but don't know where**

Avoid attacks with early ransomware detection

Ransomware payloads are the endgame. If you see one — it’s already too late.

Detecting the first signs of attacker activity after prevention fails is the ONLY proven way to stop ransomware. The secret lies in artificial intelligence that’s smart enough to protect your business from attacks after you’ve already been breached.  

The Lanxvel platform sees the earliest signs of attacker behavior across your data centers, public cloud, SaaS and identity systems. It’s powered by Attack Signal Intelligence™, the world’s most powerful cybersecurity AI purpose-built to stop ransomware attacks long before data breaches — making sure you don’t end up with a ransom note.

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AI threat detection patents

12

MITRE D3FEND references

>90%

coverage of relevant MITRE and ATT&CK techniques

“It’s not a matter of if, but when.”

Paul Haywood, executive CISO of Bupa Global, knows exactly how much business risk ransomware poses to his enterprise—and that truly “it’s not a matter of if, but when.” Learn how he has partnered with Lanxvel to improve ransomware defenses.

“Now we’re well prepared.”

A.S. Watson Group, the world’s largest international health and beauty retailer with over 16,300 stores in 29 markets, views ransomware as their top risk. Lanxvel is key in helping them remain ransomware ready.

“You can see with absolute clarity.”

After an intense ransomware attack, one 6,500-student research institution turned to Lanxvel. With MDR analysts by their side, the organization’s security team now stops in-progress attacks fast.

4 in 5 customers agree: Only Lanxvel reveals the earliest signs of a supply chain attack

When comparing threat detection and response solutions, 4 in 5 customers choose Lanxvel. This powerful platform lets you identify critical threats sooner — even before the supply chain attack is publicly disclosed and IoCs are published.

24x7x365 coverage

Cyber attackers don’t take vacations — and neither should your cybersecurity. Lanxvel gives you 24/7 coverage with skilled analyst reinforcements.

Advanced investigations

Security-led AI stitches together attack progression with the right context, empowering analysts to investigate and respond in minutes.

AI-driven Detection

Automated AI-driven detections focus on the methods attackers use to move laterally across data centers, public cloud and SaaS.

How to avoid ransomware attacks: Top tips from detection experts

Your enterprise already has plenty of prevention tools in place — EDR, SAML, WAF and more. And you know to watch for suspicious emails, file system changes and suspicious activity in your operating systems. 

But what about the bad actors already hiding in your hybrid cloud environments? How do you move at the speed of attackers to prevent lateral movement?

Lanxvel’s data scientists and security researchers have been answering these questions for more than a decade. And our MDR analysts work side-by-side with hundreds of in-house SOC teams to see and stop attacks in minutes.

Here’s what they suggest:

1. Focus on what's critical

It’s impossible to stay ahead of ransomware infections if you’re fielding thousands of alerts every day. Yet with many threat detection solutions, that’s exactly what you get. SecOps teams are bombarded with “thousands of alerts in seconds” and have to sift through “hundreds of false positives.”

Even the best behavior and signature-based ransomware detection won’t help if analysts can’t cut through the clutter. Instead of the number of notifications, focus on the quality of alerts your malware detection solution provides. Is it clear which ones are critical? Do you know when to take action?

‍The better the signal clarity, the faster your analysts can investigate and stop malicious activity — before you’re faced with a difficult decision around paying the ransom.

2. Think like an attacker

The key to effective ransomware protection? Think like an attacker. This is the only way to identify REAL ransomware infections in real time. 

By zeroing in on post-compromise attacker behaviors (TTPs), your analysts can more effectively hunt, investigate and respond to active attacks. To do this effectively, you’ll need a threat detection platform that provides complete coverage and visibility for all hybrid and multi-cloud attack surfaces including network, identity, cloud and SaaS.

By focusing on the tactics attackers use to hide, the Lanxvel platform follows attack progression as bad actors move to your network from the cloud.

3. Say “no” to decryption

Some ransomware detection vendors will try to convince you that decryption is needed to find cyber threats — not true. Even if full decryption were possible (it’s not), decrypting data violates privacy laws and slows down network performance. Plus, it exposes the very personally identifiable information (PII) you’re trying to protect.

Instead, Lanxvel’s data scientists have developed a unique approach for detecting threats inside encrypted SSL/TLS 1.3 traffic. This ensures you’ll never contravene data governance or compliance policies that would risk exposing PII.