Real Time & Automated Attack Validation Platform

This whitepaper highlights the importance of next-generation automated attack validation as a crucial mechanism as part of cyber offense strategy. It outlines the industry challenges, such as the increasing complexity of cyber threats, and showcases how LMNTRIX can help address Automated Attack Validation with an innovative approach.

LMNTRIX AAV provides an offensive approach that automates, anticipates and highlights evolving threats on demand. The whitepaper delves into LMNTRIX’s unique methodology, which integrates automated attack validation with other key defensive security layers within the LMNTRIX XDR (Extended Detection and Response) platform to create a robust, multi-faceted strategy.

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XDR Buyer’s Guide for the Modern SOC!

Why Read This Guide? Our guide dives into the essentials of selecting the right Extended Detection and Response (XDR) solution. Whether you are upgrading from an existing system or implementing XDR for the first time, this guide offers invaluable insights.

Key Takeaways:

Turning Inward

LMNTRIX reimagines MDR as it takes the traditional security mind set and turns it on its head. By realising that an enterprise’s borders can never be completely secured, it turns the attention inward and, in doing so, it turns the tables on attackers.

By focusing on the detection of attacks that breach the perimeter, breaches can be rapidly recognised and responded to. This significantly reduces the time an attacker has within a network, and nullifies their ability to do material harm.

This whitepaper will explore how this inward focus takes the advantage away from cyber attackers and finally levels the playing field.

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Learn why MDR is fulfilling a crucial security need and receive guidance on choosing the right MDR for your organization

Faced with today’s complex threat landscape, many organizations are failing to successfully implement a basic detection & response capability, let alone a comprehensive one. The situation can be exacerbated when serious incidents emerge and the organization lacks the time or expertise to properly remediate the situation, potentially endangering the security of the organization’s networks and assets.

Managed detection and response (MDR) has emerged as an answer to this market need. MDR helps an organization by implementing or improving threat detection, response, management and continuous monitoring capabilities — all delivered as a service. Gartner predicts that, by 2024, 25% of organizations will be using MDR services, up from 5% today*. In recent months, a wide variety of new offerings has hit the market under the MDR umbrella, yet these options can be difficult to sift through.

The LMNTRIX MDR Buyer’s Guide has been created to walk you through the different questions to ask and pitfalls to avoid.

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How do you run an effective SOC? A well-oiled machine, a fun place to work that has near zero attrition and global reputation for providing the best experience and learning environment for staff. And most importantly - a SOC that has near zero false positives and alert fatigue.

If the above issues resonate with you – read this whitepaper to hear what we do at LMNTRIX in operating our SOC, so you can “SOC” the right way too.

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Adversary hunting is the stealthy and surgical detection and eviction of adversaries within your network without prior adversary knowledge or known indicators of compromise. The goal of hunting is to detect and evict adversaries that have bypassed defenses before damage and loss can occur. To do so, a hunter must be able to enter the network undetected, identify the adversary at any stage of the kill chain, and evict them without disrupting running systems.

But even after following online tutorials, attending webinars and workshops – you might be struggling to achieve any justifiable success with your adversary hunting program, or simply lost with the large amount of data generated from the first hunt.

In this paper we have laid down the top 10 most important tasks to perform to make your adversary hunting program a success.

While many organizations are still focused on legacy signature based perimeter controls, today’s adversary and unknown malware walks out the back door with all their data. So what’s the answer?

This white paper, “The Future of Machine Learning in Cybersecurity,” explains machine learning (ML) technology in a non-technical easy to read language — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass legacy security controls. At LMNTRIX we apply machine learning technology to both network packets as part of the LMNTRIX Hunt NDR solution and our endpoint as part of LMNTRIX Respond to deliver a completely signatureless next-gen AV solution. Our experts avoid technicalities to make it more easy to read by non-experts.

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