Automated simulation platform helps enterprises understand cyber risks

data threat

Hackers and cyber criminals often seek to exploit human errors like misconfigurations, poor security practices and the use of shadow IT.

In order to help businesses assess the risk XM Cyber is launching an automated advanced persistent threat (APT) simulation platform, HaXM, to continuously expose all attack vectors, above and below the surface.

HaXM uses advanced attack techniques to expose the most critical blind spots. In the process, it provides data-driven remediation that focuses on an organization's most critical assets, reduces its IT risk and enables it to optimize its cyber resources.

"The best way to prevent a cyber attack is to identify in advance the attack vectors hackers will use to compromise an organization's critical assets," says CEO and co-founder of XM Cyber Noam Erez. "Even when an organization has deployed and configured modern security controls, applied patches and refined policies, it should still ask 'Are my crown jewels really secure?' as there is a plethora of ways hackers can still infiltrate the system and compromise critical assets. This is why we founded XM Cyber: to equip enterprises with a continuous 360° view of which critical assets are at risk, what security issues they should focus on, and how best to harness their resources to resolve them."

Features of HaXM include full mapping of all attack paths at any given time, automatic adaptation to the context of the organization, using misconfigurations, user activity, credentials and security vulnerabilities in the network.

Comprehensive and up-to-date attack scenarios use the latest hackers' techniques and methods, giving the ability to detect and remediate IT-related risks in real-time. Reports are produced based on how critical the attack vector is.

HaXM is available as an on-premise or cloud-based solution. You can find out more on the XM Cyber website or on the company's stand at RSA in San Francisco next month.

Image Credit: SergeyNivens / depositphotos.com

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