Siren, the all-in-one investigation company, announces its adoption of Graph Query Language (GQL), the world’s first ISO-standard query language for graphs, made public in 2024.
With this move, Siren becomes the first investigative platform to offer seamless, standards-based graph querying integrated with deep search, a major leap forward for both product capability and user experience.
GQL provides a powerful and precise way to query graph data, much like SQL does for relational data.
Adopting GQL
Siren’s ISO adoption signals a historic industry consensus, bringing clarity and unification
Siren’s ISO adoption signals a historic industry consensus, bringing clarity and unification to the rapidly growing world of graph technology.
For Siren, whose mission has always centered around connecting the dots across complex, disparate data, GQL is a natural fit.
“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.”
Unifying three critical paradigms
“What we are doing is truly unique,” added Renaud Delbru, Ph.D, Siren Founder and Chief Scientific Officer.
“GQL provided the foundation we needed to unify three critical paradigms, full-text search, relational queries, and graph traversals, all into a single interface. Where traditional methods require switching between different systems or query languages, investigators can now search text, join structured data, and traverse relationships within the same query,” he explained.
In relation to the Siren AI roadmap, Renaud Delbru also emphasised: “This unified approach is foundational to our vision, powering initiatives like K9 and future intelligent agents that need to reason across all types of data simultaneously.”
New standard for investigations
By integrating GQL, Siren delivers a new standard for investigations:
- 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.
Technology built for investigators, not just engineers
GQL is more than a technical upgrade, it’s an immediate benefit to analysts and investigators.
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.
As the investigative world increasingly embraces connected data, Siren’s GQL adoption underscores its leadership in modern analytics, delivering transparency, speed, and precision in mission-critical environments like law enforcement, cyber threat analysis, financial crime, and national security.
