No Alert Left Behind - Get to 100% with GenAI

By Brian B. Brown · October 3, 2024

For many years security professionals have struggled to overcome alert fatigue and advanced threats. Many times these two issues are connected, as adversaries grow more sophisticated knowing they can hide among a sea of alerts if their actions are subtle enough. Over time, many technologies have arisen to help combat these two issues, but often, the end result is aggravation, not solution. Want better endpoint telemetry? EDR is a powerful tool, but it comes with a flood of new information and data that someone must cognitively process, only increasing the burden on overtaxed analysts.

Trellix’s longstanding perspective is that security tools should be specific and fit for purpose while seamlessly integrating into analysts’ workflows, ensuring that reaching conclusions are efficient despite the burdens of today’s complex IT infrastructure and large data volumes.

Trellix Wise: Relieving Alert Fatigue & Putting Light on the Shadows

Earlier this year we announced Trellix Wise - our capability of using AI based analytics in the Trellix Platform. Wise includes all of our machine learning (ML), artificial intelligence (AI), and generative AI-based (GenAI) technologies, which are present in all of our solutions including Endpoint, Email, Network, Data Security, Cloud Security and XDR. Wise capabilities extend across the entire Trellix portfolio to achieve two fundamental objectives: relieve alert fatigue, put light on the shadows to reveal stealthy attacks that normally go unnoticed. In order to accomplish those goals we need to be able to see and investigate all the security telemetry in an environment.

Accomplishing those two goals means that all of the security alerts in your environment would need to be scoped and investigated. For the vast majority of organizations achieving 100% investigation is simply not possible. Why has 100% alert investigation been impossible and impractical in the past? The fundamental reason is that, until the rise of GenAI, automated alert investigation was undertaken using a machine-level logical flow with specific and often limited and very binary ability to build queries over limited data sets.

Today, large language models (LLMs) are trained on a broad range of knowledge, similar to how humans learn from multiple sources. Combined with natural language processing (NLP) interfaces, this has brought a more human-centric, high-throughput capability to security investigations. Now, high-throughput engines, combined with the wisdom from rich data and security-focused algorithms are paving the way to hyper-automate the investigation of 100% of your security telemetry. When you investigate 100% of your security alerts there are two outcomes achieved: relieve alert fatigue, and surface threats that go unnoticed.

Relieving Alert Fatigue

It’s no secret that analysts struggle with a sea of alerts. A consequence of today’s digital economy is the sprawling IT infrastructure and a proliferation of tools generating security telemetry. Trellix Wise AI enables customers to investigate and prioritize 100% of the security alerts, ensuring no alert is left behind. Practically this means a 5X improvement in analyst efficiency. By mapping the full threat story with automated triage and tailored investigation playbooks, automatic alert investigation occurs in less than three minutes for every alert received, and approximately 8 hours of SOC work recovered for every 100 alerts.

Surfacing Threats That Go Unnoticed

Every CISO has the recurring thought: What happens when that one alert gets missed? For example, the 2013 Target breach where alerts were received, but never actioned. A benefit of investigating and analyzing all of the security alerts received is the opportunity to correlate a broader scope of activities to identify a threat. iImbued with the wisdom of industry-leading threat detection models and investigative processes,Trellix Wise hyper automates the sheer volume of analysis to surface threats that would otherwise go unnoticed. Wise performs the analysis of all your alerts and prioritizes the most important and impactful ones for analysts, ensuring that even stealthy threats are investigated.

Trellix Wise: Building Trust in AI

One of the concerns outlined in our latest Mind of the CISO research was a lack of trust in AI vendors. Participants want to adopt AI for all of the purported benefits, but are not sure who had a roadmap that they had trust and confidence in.

Why Should You Trust Trellix Wise?

AI is not new to Trellix. ML, DeepML, and GenAI are fundamental components of AI and for over a decade Trellix has leveraged and introduced these capabilities to our customers as they became more widely available. Trellix brought ML to our customers in 2011, AI in 2017, and GenAI in 2023.

AI needs data — the right data — to be functional and trustworthy. Trellix has a massive dataset, collected over decades and from 40k global customers. Our highly-developed models are supervised and trained by elite security researchers. We continue to innovate with the most advanced and up-to-date capabilities, culminating with GenAI. Today, Trellix Wise focuses on the most impactful use cases, relieving alert fatigue, surfacing and prioritizing threats that would have been missed, and helping analysts address complexity of threats.

Challenge Yourself, Challenge Us

What is your path to 100% alert investigation? Curious and want to learn more, or even challenge Trellix to see how we can help you get to 100% alert investigation? Take our No Alert Left Behind Challenge, or join us at our No Alert Left Behind with GenAI Virtual Workshops.

In today’s digitally connected world, responsible security is vital to avoiding a global tech outage like the one from July 2024. Join our GenAI Powered Responsible Security Virtual Summit to learn how we are building a more secure, resilient world.