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Automate Detection of Cyberthreats in Real Time. Why Wait?

May 15, 2015
Please note that this is an automated translation. For the most accurate information, refer to the original version in English.

Time is a big expense when it comes to detecting cyber threats and malware. The proliferation of new malware variants makes it impossible to detect and prevent zero-day threats in real-time. Sandboxing takes at least 30 minutes to analyze a file and deliver a signature—and by then, threats will have spread to many more endpoints.

However, cybersecurity based on data science, machine learning and behavioral analytics can identify the cyberattackers spying, spreading and stealing inside the perimeter in real-time and automatically correlate these behaviors to the computer being attacked. This approach provides security analysts with actionable insight to stop the attack and to prevent further damage.

This blog was originally published as part of the Help Net Security Network. Read the full article >

Prevention security at the network perimeter provides one imperfect chance to stop an attack. Security professionals need automated real-time malware detection and prioritized risk reporting that show what an attacker is doing in their network and provide multiple opportunities to stop an attack. The Vectra software is the first to bring this level of intelligence and automation. Read this white paper to learn how.

Want to learn more?

Vectra® is the leader in Security AI-driven hybrid cloud threat detection and response. The Vectra platform and services cover public cloud, SaaS applications, identity systems and network infrastructure – both on-premises and cloud-based. Organizations worldwide rely on the Vectra platform and services for resilience to ransomware, supply chain compromise, identity takeovers, and other cyberattacks impacting their organization.

If you’d like to hear more, contact us and we’ll show you exactly how we do this and what you can do to protect your data. We can also put you in contact with one of our customers to hear directly from them about their experiences with our solution.

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