Spark leverages the power of generative AI and Strider’s global intelligence platform to deliver fast, actionable insights that protect organizations’ people, intellectual property, and supply chains.
Strider Technologies, Inc. , a leading provider of strategic intelligence, announced innovative new capabilities for Spark , its proprietary, AI-powered intelligence engine that is transforming how organizations identify and mitigate risks associated with state threats.
Industrial, government, and academic organizations are vulnerable to continuous nation-state operations that attack and compromise networks, intellectual property, people, and supply chains. Spark delivers detailed threat analysis in seconds to give organizations deeper insight into the risk environment through a streamlined interface that includes intuitive query-based exploration.
Spark enables organizations to integrate Strider’s risk intelligence with their internal security data, creating the first AI-based “inside-out” model that leverages open-source data to optimize threat identification and investigation. Spark leverages Strider’s full suite of products, allowing enterprises and security teams to query Strider’s proprietary database, gain real-time actionable intelligence on the threats facing their organization, and dramatically reduce the time required for preliminary investigation from weeks to minutes.
“More data has been created online in the past three years than in the entire history of the internet. This flow of information creates both chaos and opportunity. Data has become a factor of production in the age of AI, requiring new approaches to collecting and delivering intelligence,” said Greg Levesque , CEO and co-founder of Strider . “Our new, proprietary, AI-powered intelligence engine delivers faster insights and deeper context for organizations facing state threats. Spark will revolutionize threat intelligence in this era of global competition.”
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“Speed to insight is what gives organizations a strategic advantage. Spark enables users to make connections, gain critical insights, and access information faster than ever before,” said Spencer Morris , Strider’s Vice President of Product . “With Spark, organizations can not only reduce their investigation times from days to minutes, but also gain a comprehensive view of their risk landscape by integrating their internal data with Strider’s intelligence. We’re excited to introduce this transformative capability and look forward to bringing users new AI-powered intelligence features in the coming months.”
AI-powered intelligence for proactive risk management
The traditional approach to nation-state espionage has disappeared as superpowers battle for geopolitical, economic, technological, and data dominance. The People’s Republic of China, Russia, Iran, and other adversarial nation-states continue to target commercial enterprises, research institutions, and government entities in their fight for superiority. Meanwhile, the threat landscape is evolving. Attacks are faster, more covert, and more data-driven than ever before, as adversarial nation-states work to obtain cutting-edge technologies and compromise talent and supply chains around the world.
Anticipating these threats requires the ability to act in real time. Spark rapidly processes billions of data points to generate actionable, contextualized insights that help organizations identify risks and take action to address them. More specifically, Spark enables users to:
- Illuminate and accelerate essential risk intelligence : Spark eliminates scattered signals, noise, and data overload to uncover potential state threats linked to individuals, organizations, and technology. It automates comprehensive analysis, streamlines fragmented tools, and helps users accurately identify risks—all in real time.
- Combine internal data for greater security : For the first time on the Strider platform, users can securely combine internal data with Strider intelligence to gain a more complete view of their risk landscape. Spark runs on Strider’s secure, zero-touch architecture, ensuring that user data remains protected and isolated at every step. Users who prefer not to integrate their own internal data can utilize Spark capabilities solely with Strider data.
- Laying the groundwork for AI-powered risk management : Spark now offers familiar AI interface features like natural language search, real-time analytics, suggested searches, threaded replies, multilingual input, and more.
These features are just a small sample. Over the next 12 months, new features will be added to the platform that will provide Strider users with even faster, more contextual information, enabling them to make smarter decisions in an increasingly competitive global environment.
Source: PRNewswire