Elevate Security Operations Efficiency with GenAI
Redefining SOC Monotony with Generative AI
The Security Operations Center (SOC) is not just a place—it's a team with many important roles. "Security operations" is an umbrella term encompassing numerous functions and specialties needed for the cyber battlefield. The hybrid, remote, and geographically dispersed nature of teams operating in 24/7 shifts often leads to minimal knowledge sharing among these roles. The lack of side-by-side collaboration with seasoned analysts hinders the growth and effectiveness of less experienced team members during their daily investigative tasks.
An AI assistant plugged into the platform that unifies the SOC daily while reviewing incidents, threat hunting, or building new detections for emerging threats could be a game-changer for your day-to-day job. The practical application of large language models (LLMs) revolutionizes how analysts handle alert validation. These technologies facilitate rapid responses to critical inquiries and integrate essential, actionable data across diverse tools and expertise levels, significantly reducing the mean time to resolve (MTTR) SOC alerts.
Any time-saving opportunity that accelerates tedious tasks across key SOC functional areas is invaluable amidst the AI marketing buzz that has flooded social platforms and industry events. SOC assistants are here to stay, and the security industry is heavily investing in them for this reason.
Monte Copilot
From slow, manual operations to fast, intelligent generative AI workflows
Get answers to your questions about critical entities, techniques, and artifacts involved in your investigation with a SOC Copilot integrated with internal and external tools. This tool helps you make informed decisions and aids every investigation phase, threat hunting, and detection building cycle.
Equipped with SOC expertise and threat intelligence tools
Monte Copilot, designed for SOC personas, gathers real-time knowledge to support Q&A Threat Hunting, Threat Intelligence, Detection Engineering, and Triage analysis. It includes default external APIs to answer common questions, aiding day-to-day operations with tools like Shodan, Virus Total, IPInfo, and many more.
Monte Copilot is now available as an add-on purchase on the Anvilogic platform. It closes detection gaps across multiple data platforms with AI's speed and scalability. Anvilogic helps many of the world's largest enterprise security teams reduce Splunk licensing costs by transitioning workloads to Snowflake, offering cost-effective, efficient solutions and freeing customers from vendor lock-in. An AI-powered SecOps assistant enhances the platform experience, letting Anvilogic users focus on the more engaging aspects of their job.
Let's explore how Monte Copilot can significantly elevate your SOC:
Harnessing the power of generative AI across multiple data platforms
For years, SOCs have depended on Security Information and Event Management (SIEM) systems for the majority of their threat detections. However, our approach of separating logging from security analytics broadens the scope, offering an expanded landscape of newfound visibility. Couple that with the power of GenAI spearheading efforts across detection, hunting, and triage, and you will have a combination that creates a force to reckon with. It's crucial to clarify, though, that we don't see GenAI tools replacing analysts; instead, these tools are here to augment the collective knowledge and strengthen the teamwork in the SOC.
Analyst Day in The Life
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Communication
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Anvilogic Purple Team releases daily detections to combat threats
SPL, KQL, & SQL Query Generation
Embedded Threat Intelligence Tools
Summarization and Security Reporting
Threat Detection
Engineer
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Now with Anvilogic Monte Copilot, you can…
Case Study: Crypto.com
With Anvilogic, crypto.com simplified and enhanced its detection engineering process. They were able to:
- Quickly build, test, and deploy SQL-based detections
- Measure and improve security maturity and detection coverage
- Increase efficiency by leveraging a modular and scalable builder that maps detections to the MITRE ATT&CK Framework
Threat Investigation
Analyst
The investigation team is made up of front-line defenders, meticulously sifting through the alerts and analytics to determine whether they signal a real threat or just another false alarm. When a genuine threat emerges, the team isn't just reacting—they're deeply engaged in piecing together the puzzle. When triaging a threat, intelligent context from elsewhere is needed to inform incident handlers about what happened and how they can best respond. GenAI might provide the greatest potential benefits to an investigative team since they are very much in the business of taking disparate information and data and attempting to tell a coherent story with it.
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Now with Monte Copilot, you can…
Monte Copilot helps streamline security operations tasks for all roles within a SOC with access to these integrations, eliminating the need to switch between different screens or sources for alert validation and inherently boosts investigative capabilities across multiple data platforms and threat research intel browser tabs.
Threat Research and Coverage
Analyst
Threat Intel Analysts are the masterminds behind ensuring that intelligence priorities are not just noted but deeply understood, considering both the capabilities and visibility limitations of the current tech stack. Their role goes beyond just reacting to immediate threats; they are forward-thinkers, always looking ahead to understand how adversary techniques might evolve, the nuances within these methods, and how adversaries might try to outmaneuver security measures. By predicting future moves and understanding potential variations in attack methodologies, they prepare the security operations team not just for what’s happening now but for what’s next.
Now with Monte Copilot, you can…
Monte Copilot automates the extraction of key points from lengthy internal and external documents and reports, streamlining information access for the team. GenAI assists in processing and analyzing vast amounts of data. However, the key to addressing these complex questions often lies more in human traits such as curiosity, patience, and deep expertise. Nevertheless, GenAI does hold potential as a tool for software analysis, where its data processing capabilities transformed into a human-readable fashion can be particularly beneficial.
Threat Triage
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Hunter
Just like the software analysis example highlighted in the threat research use case above, a GenAI tool could prove to be incredibly skilled at interpreting detection analytics and clarifying their purposes, especially when tailored to the organization's unique detection schema.
The potential uses for this capability are extensive. A GenAI tool can efficiently analyze the contents of an event or payload, taking an initial stab at deciphering what might have occurred. While a human review is always necessary, leveraging an AI assistant can speed up the process and potentially uncover critical details that might otherwise be missed. Of course, we couldn’t leave out building query syntax to test our hypothesis out of the picture just like building syntax for automated detections, building queries to prove a hypothesis before turning them into automated detections often comes first.
Maximizing curiosity and an investigative mindset is an approach that can streamline SecOps operations while also enhancing the precision and depth of the security analysis.
Now with Monte Copilot, you can…
This enhancement boosts investigative and threat hunting efficiency across diverse data environments without the need for deep expertise in the underlying syntax and schemas. Leveraging generative AI, Monte is a dynamic copilot for analysts, facilitating a more automated approach to triage tasks.
When considering how to implement AI models at Anvilogic, we value applications that reduce monotonous, repetitive tasks as much as scenarios where AI excels. We recommend adopting this balanced perspective toward AI utilization.
I've been particularly impressed with how Anvilogic created a detection engineering AI assistant that takes a question in plain English ("where do we have powershell events that connect with a remote IP?") and converts it to SQL for use in threat detection. This is the kind of product innovation that takes the raw potential of Snowflake for cybersecurity and democratizes it in a way that any size team can benefit. "
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