Discover how Vulcan Cyber leverages Snowflake's AI-driven data platform to deliver near-real-time data processing and integrate AI-driven capabilities to empower organizations to seamlessly reduce risk across the attack surface.
Gaining accurate insights into threat landscapes and mitigating those threats can be a mammoth task. And it’s a journey that looks different for every organization.
To help our customers, we provide what we call “the one platform to reduce exposure to risk.” Our ExposureOS compiles risk and asset data and threat intelligence from over 100 different sources, merging it with customer-specific business context to provide a holistic risk score and prioritize vulnerabilities. But this is just the first step.
“We also help our customers orchestrate the entire remediation process,” says Tal Marom, our VP of Product. “This involves integrating with ticketing tools and providing guidance around what scripts to apply and what patches need to be done. There are even full automation options, so our customers can choose to automate this process entirely.”
Providing these capabilities requires a huge amount of data. We use Snowflake on AWS as a central data store for all our activities to help provide in-depth insights in a timely manner.
“For large enterprise customers, scalability and speed are essential features in our platform,” says Marom. “It’s crucial that our customers can see things at accelerated speed, which means we need to ingest huge data sets—and Snowflake is integral to that.”
As with many industries, artificial intelligence has a huge role to play in cybersecurity. With Snowflake’s unified data platform at the heart of our activities, we are delivering AI capabilities to help provide our customers with the insights they need, exactly when they need them.
“Snowflake gives us a foundation for innovation and adding advanced features to our platform. We can go beyond scale and speed and explore new capabilities for our customers,” says Tal Marom.
These features include an AI-driven text-to-query search bar within our platform that makes navigation and information retrieval seamless and intuitive. With the search bar accessible from every page, users can effortlessly input queries in natural language and access any piece of data, page, or action, streamlining workflows and reducing time spent navigating.
Our search engine uses machine learning to understand user needs and recommend actions tailored to their environment. By analyzing search patterns, such as frequently queried vulnerabilities, it also personalizes results, ensuring users can immediately access relevant actions like patching or reporting.
We have also deployed AI to provide vital summaries of common vulnerabilities and exposures (CVEs) to help keep our customers up to date with the latest threats.
“We use generative AI to produce new, human-readable IDs for discovered CVEs, reducing analysis time from hours to minutes by offering immediate clarity on their root cause,” says Marom. “With this enhancement, users can quickly grasp the nature of the CVE and its potential impact. This is another significant step toward making the Vulcan Cyber ExposureOS more action-driven, empowering users to make faster decisions and streamline remediation efforts.”
With Snowflake as the infrastructure behind ExposureOS, we have been able to add new capabilities that deliver three vital benefits to our customers.
The first is efficiency. By integrating AI and having all our threat data on a unified infrastructure, we can provide complex information in a way that is simple to navigate and significantly reduce the number of steps required for critical actions, such as identifying high-priority vulnerabilities or assigning tasks to IT. This means fewer actions, automated workflows, and intelligent shortcuts that help users access exactly what they need, exactly when they need it.
The second benefit is our platform’s ability to provide a clear path to successful outcomes. We have designed ExposureOS to guide users toward clear actions, such as patching high-risk vulnerabilities within minutes, directly improving their security posture and reducing risk exposure. By highlighting what actions users need to take and giving them the flexibility to act right away, we can help ensure vulnerabilities are remediated before they can be exploited.
Finally, personalization. “Risks are very much dependent on their environment and context; it’s going to be different for every security team,” says Tal Marom. “We want to incorporate more personalization into our platform to ensure everyone gets the most relevant solutions for their use cases and preferences.”
Ultimately, these capabilities allow us to grow alongside our clients.
“Snowflake’s fast, scalable data ingestion allows us to seamlessly support large enterprises. It provides us with a sturdy foundation so we can constantly improve our platform to deliver an exceptional experience to our customers and add new capabilities to meet evolving demands.”
Going forward, we plan to further experiment with AI, working alongside Snowflake to provide new capabilities to our customers. As we and our customers continue to grow, we have a data platform that can grow alongside us.
Learn more on Snowflake’s website.