Siren adopts ISO-standard GQL to integrate deep search with the next generation of graph intelligence

Siren, the all-in-one investigation company, is adopting Graph Query Language (GQL), the ISO-standard query language for graphs, made public in 2024—enabling Siren to become the first investigative platform to offer standards-based graph querying integrated with deep search.

GQL provides a precise way to query graph data, much like SQL does for relational data. Siren’s ISO adoption signals a historic industry consensus, bringing clarity and unification to the rapidly growing world of graph technology, according to the company.

“We’ve believed in the power of graph analytics since day one,” said John Randles, CEO of Siren. “Now, with GQL becoming the industry standard, we know we can exclusively give our users the best of both worlds, deep graph reasoning and seamless integration with relational search, on a foundation the entire industry can build on.”

By integrating GQL, Siren delivers a new standard for investigations that include:

• Faster time-to-insight: Investigations that used to take hours can now take minutes, and in some workflows, queries that used to take minutes now complete in tens of seconds.
• Smarter investigations: Analysts can now describe complex relationships and paths using intuitive, structured graph queries.
• Unified workflows: GQL queries integrate effortlessly with Siren’s relational search capabilities across structured, unstructured, and open-source data.
• Knowledge Graph Search Analytics: Siren now empowers users to perform graph and pathfinding operations as part of an intelligent investigative workflow.
• Future proof and agent-ready: Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights but for tomorrow’s innovations, serving as a framework with which to expand capabilities, including AI-powered investigative agents.

With GQL, Siren users can:

• Ask richer, more targeted questions about relationships and paths.
• Build visual link analyses from precise, standard queries.
• Combine graph, keyword, and relational search in a single interface.

Siren’s GQL adoption underscores its leadership in modern analytics, delivering transparency, speed, and precision in mission-critical environments such as law enforcement, cyber threat analysis, financial crime, and national security, the company said.

For more information about this news, visit www.siren.io.