The partnership combines the Elasticsearch Platform, which delivers real-time search, retrieval and anomaly detection across structured, unstructured, and streaming data, with Siren’s patented investigative intelligence technology, which fuses data from multiple sources into explainable, auditable insights. Through the partnership, the companies provide governments and organizations with an open, sovereign, and transparent alternative to closed proprietary systems. Additionally, the collaboration enables analysts to move seamlessly from signal detection to actionable insights, accelerating case resolution from days to hours and improving cross-agency collaboration.

National security and law enforcement agencies face increasingly sophisticated and blended threats such as cybercrime and terrorism, as well as human trafficking and on-the-ground warfare. The Siren-Elastic combination enables organizations to detect, connect, and act on intelligence faster and with greater clarity.

“This strategic investment reflects more than a decade of proven collaboration with Elastic,” said John Randles, CEO at Siren. “Together, we’re delivering unified intelligence, real-time search and deep investigation at a time when it’s never been more needed globally.”

“Our long-standing partnership with Siren demonstrates how blending search and AI technologies can provide national security and law enforcement with trusted, explainable solutions that help protect citizens and assets,” said Chris Townsend, global vice president, public sector at Elastic. “This investment underscores our commitment to building a trusted ecosystem of Search and AI partners addressing mission-critical use cases.”

At the core of Siren’s innovation is a unique and patented search and retrieval system built specifically for knowledge graphs. Siren enables real-time, explainable searches across massive, complex datasets, extracting only the most relevant entities and relationships for investigation. This feeds AI-driven analysis with precise, actionable subgraphs rather than overwhelming datasets.

Siren provides traceability, explainability, and auditability, ensuring analysts can uncover hidden connections, validate intelligence, and make decisions with confidence, and at scale. This capability is critical for government investigations, compliance and AI-driven intelligence workflows.

Renaud Delbru, founder of Siren, added, “Elastic’s investment validates our architectural vision, that effective AI-driven investigation requires the federation of search, graph operations, and natural language understanding. Together, we provide the structured foundation that allows AI to augment rather than replace human investigative judgment.”

Source: Siren

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As geopolitical tensions rise, and hybrid threats, combining cyber, physical, and informational tactics, impact both private and public sectors, organizations face increasing challenges from sophisticated adversaries. This partnership brings together two industry leaders to meet that challenge head-on. By integrating Flashpoint’s exclusive, human-augmented threat intelligence directly into Siren’s advanced investigative platform, teams gain the ability to detect, investigate, and respond to complex risks faster and with greater confidence.

Flashpoint’s curated, primary-source data provides unique depth and context, empowering investigators to initiate new inquiries and solve cases by uncovering hidden connections. Siren’s open architecture allows this intelligence to be combined with a broad range of OSINT and internal data sources, including social media, law enforcement records, cyber threat feeds, and blockchain analytics. The integrated solution offers a flexible, unified environment tailored to each organization’s needs, supporting various applications including public safety, fraud prevention, anti money laundering, and cryptocurrency crime.

This collaboration is especially timely as financial cyber threats and blockchain-related risks continue to escalate, as it delivers actionable insights to protect assets and maintain trust in an increasingly digital economy.

“By embedding Flashpoint’s uniquely curated, human-augmented intelligence into Siren’s workflows, we’re delivering an end-to-end solution that accelerates investigations and generates actionable insights with unmatched speed and precision,” said Rachel Kavanagh, CMO of Siren.

“In a world of increasingly sophisticated and converging threats, the ability to access and action comprehensive intelligence is paramount,” stated Andrew Borene, Flashpoint Executive Director for International Markets and Global Security. “This integration delivers on that need. Combining Flashpoint’s unmatched collections with Siren’s investigative power gives multinational organizations a more actionable view of their risk landscape.”

Source: Siren

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GQL provides a powerful and 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. 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.”

“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.”

In relation to the Siren AI roadmap, Delbru said, “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.”

Source: Siren

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With a focus on improving search capabilities, user interface flexibility and link chart functionality, Siren Investigate 14.4 offers four major enhancements now available to all Siren users and implementers.

Jeferson Zanim, Siren chief product officer, commented, “With Siren Investigate 14.4, we’ve introduced features that make it easier than ever to access critical information faster, customize visual insights and streamline workflows for investigative teams.”

He added, “Our latest updates allow users to prioritize the most recent records, build richer link charts and work seamlessly across multiple graphs. This release reflects our commitment to enabling investigators with tools that adapt to their individual needs and help uncover insights faster and with more precision.”

Source: Siren

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Law enforcement faces growing challenges in managing vast amounts of data across fragmented systems. This partnership combines Siren’s AI tools with Senzing entity resolution technology to help agencies identify individuals and entities more precisely.

“Our mission is to keep people, assets and networks safe. This collaboration enhances Siren’s ability to uncover hidden connections with greater speed and precision,” said John Randles, CEO of Siren.

Siren explores complex data relationships in real-time. Senzing AI continuously improves entity resolution accuracy across datasets, offering full transparency into how entities are resolved so investigators can confidently make decisions. Unlike most AI technologies, Senzing provides full details on how entities were resolved for peace of mind.

Jeff Jonas, CEO of Senzing, added, “We’re proud to partner with Siren to help law enforcement and security agencies analyze risks. Siren’s ability to link and enrich data from multiple sources makes Senzing entity resolution a perfect fit.”

Source: Siren

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John Randles, CEO of Siren, said, “This release is absolutely huge for our users. Analysts who found knowledge graphs a challenge in the past can now have one built for them. The capability automatically maximizes the intelligence scope so is a massive improvement in terms of effectiveness, for even the most experienced investigator.”

Jeferson Zanim, chief product officer, added, “We’ve introduced some important collaboration tools in 14.2 and improved intelligence products. Siren can now produce link chart reports to be used as evidence, which is something our customers have been requesting. Now users can complete the full investigation from a single location.”

The evolution of technology, and specifically AI, is dramatically increasing the pace and complexity of criminal activities. Cyber attacks, digital IP theft and online child exploitation are just a few offenses that can occur within moments, and across international borders, causing widespread damage before traditional methods can respond. Siren addresses this ongoing challenge in 14.2, enabling users to dramatically speed up their investigations, discover untapped intelligence and share reports that can now also be used as official evidence.

By simplifying the transition from search to investigation, Siren 14.2 enables law enforcement to respond quickly. From a single search result, Siren can now automate the creation of a full graph investigation, ensuring that all relevant connections and relationships are correctly mapped. This comprehensive overview is crucial in understanding the broader context of criminal activities. Siren takes a leadership role on behalf of the investigator, and maximizes intelligence across datasets, removing the need to rely on the intuition of the user. This not only increases the scope of evidence and the precision of an investigation, but also optimizes the productivity of the team.

Siren 14.2 introduces a facilitated collaboration workflow that caters to the diverse needs of investigative teams. Users now have the option to work in separate private and shared spaces. This separation ensures that individual investigators can work on sensitive aspects of an investigation privately, while still being able to collaborate with colleagues when necessary. The new ability to share the investigation across teams removes unnecessary friction and promotes further efficiencies.

Source: Siren

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Many believe cryptocurrency is the future, and it is expected that blockchains will soon be the world’s primary mechanism for the exchange of value. Chainalysis’ mission is to build trust in blockchains, setting the stage for the mass adoption of crypto in a way that gives participants safety and security. Its data powers investigation, compliance, and market intelligence software that has been used to solve some of the world’s most high-profile criminal cases and grow consumer access to cryptocurrency safely.

Siren is an AI-driven Investigative Intelligence platform which is used by some of the world’s leading Law Enforcement, National Security and Cyber threat investigators. Siren connects and enriches local classified information with external vendor data as well as data available from public sources to identify patterns, actors and events.

Siren’s AI-driven search functionality dramatically reduces the complexity in searching for intelligence – like browsing the internet or shopping online anyone can search for intelligence links, regardless of technical abilities, across multiple data sources and get immediate results on both desktop and mobile devices. Using patented technology, Siren delivers a modern search experience at Enterprise speed and scale, making advanced intelligence queries accessible to all across the organization.

Through the collaboration, illicit activity is easier to identify in real-time across multiple data sources, including Chainalysis’ on-chain data, allowing investigators and analysts to map addresses to named services, detect illicit activity as it happens, and build cases.

The Siren platform leverages the Chainalysis Investigations API (IAPI), part of the Chainalysis Investigations solution. The Investigations API is a REST based API which programmatically helps to prioritize and accelerate investigations. This ensures investigation teams can focus on the most important cases with the highest likelihood of success. The IAPI enables data engineers and scientists to enrich existing datasets with Chainalysis insights to enhance large scale investigations, surface new leads, and uncover previously unknown connections between different cases for deconfliction.

John Randles, CEO of Siren, said: “Linking to crypto across multiple data sources is pivotal for investigators. We’re delighted to announce the partnership here in New York at Links 2024. We were lucky to attend a couple of Chainalysis events last year and experience first-hand the synergies in our offerings and missions.”

Source: Siren

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At the center of the largest intelligence data ecosystem globally, Siren addresses a fundamental intelligence challenge for Law Enforcement teams. Siren connects and enriches local classified information with external vendor data as well as data available from public sources, like CompStat, to identify patterns, actors and events. Since today Siren is now also available on a mobile device providing an additional layer of safety for front line teams.

The new AI-driven search functionality dramatically reduces the complexity in searching for intelligence. Advanced links can now be made by anyone from any department without the need of data science skills. According to our own Law Enforcement Flash Poll research, it takes at least 6 months for a new analyst to become productive and this simple interface will relieve the pressure on all involved.

Siren 14 also incorporates link analysis enhancements, the ability to import CSV and Excel files from shared secure folders and dynamic filters. Dynamic filters enable a familiar experience for searching data like browsing the internet or finding items while shopping online.

“Simple is hard and that’s what we have achieved with Siren 14,” said John Randles, CEO of Siren. “Siren can now provide complex connected intelligence to command staff and uniformed police without data science training. It’s a simple search just like using the internet or shopping online.”

Source: Siren

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Dr. Renaud Delbru, co-founder and chief scientific officer at Siren, said, “Our most recent patent stands out as a one-of-a-kind offering in the market, reaffirming our commitment to innovation. Speed and scale are pivotal in so many critical investigations, I am particularly pleased that our technology, and specifically Siren 13.4, is making an increasing impact in public safety and law enforcement globally.”

Siren’s new patent pending technology allows analysts to conduct larger searches faster, and without the need for additional IT systems or processing power. The new analytics capability has boosted Siren’s overall performance, providing accelerated data retrieval and enhanced analysis capability for analysts.

The ‘join operation’ is a critical function within a database system, enabling the correlation and retrieval of data from two distinct datasets, using a shared attribute or relation. Traditionally this “joining” process can prove challenging and resource intense. Siren’s new join addresses the problem by introducing an intelligent approach to partitioning data records prior to executing the join operation.

What sets this approach apart is its innovative data organization. It effectively removes excessive network costs and inefficiencies by reducing data record duplication and optimizing the data exchange phase of the join operation.

When it comes to practical application, Siren 13.4 and the new join provide immediate benefits across a spectrum of scenarios using large scale, distributed datasets like social media data, high volume financial transaction data, or detailed scientific research data, according to the company.

Source: Siren

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Trouble connecting digital evidence and making data links

The most crucial part of an investigation is finding connections among suspects, gangs, targets and accomplices in disparate data, enabling an analyst to find a lead or solve a case. Almost half of those polled experience difficulty connecting evidence across data sources or creating data linkages.

A need to process more and more data

Investigative analysts need to achieve the right educational foundation and cultivate the right skill set in today’s technology heavy world. More than 50% of respondents state that it takes at least six months for a new analyst to become productive once onboarded thus emphasizing the importance of retention in law enforcement organizations. As the complexity of crime increases, law enforcement must deal with an increasing number of data sources and tools in investigations. During an average week respondents analyze as many as 7.5 different sources of data, and seven in ten use social media monitoring/analysis data. Despite that high number, given the opportunity, respondents would use an additional three sources if they had access, showing a desire for broader access to incorporate more sources in digital investigations.

In terms of more specific sources, nearly a third of those polled said they would utilize license plate reader and dark web data if available to them and nearly a quarter want to utilize dark web threat intelligence data, incident based National Criminal Justice Info Sharing Exchange, and threat awareness sources.

Sensitivity remains around the use of AI

Despite the recent hype surrounding artificial intelligence, those responsible for deploying AI-based solutions in law enforcement are reluctant to use it. Nearly half (48%) of those polled say their organizations are “not at all willing” to deploy an AI-based artificial solution for data consolidation, visualization and analysis. Concerns such as data privacy and security are cited as barriers to adoption. Crucially, law enforcement is required to ensure that decisions around guilt or innocence are entirely human and not automated.

Respondents, however, did recognize the potential benefits of adopting AI to help consolidate data sources and provide visualization tools, with the expectation that it would improve data accuracy and save money. In fact, 57% of respondents indicated that the two primary benefits for adopting an AI-based solution would be that more investigators would be able to conduct high tech searches while also having the ability to find, visualize and report on missing links across different data sources.

Bob Griffin, chairman of Siren, said, “The results of this report really highlight what we see every day with our customers. Analysts are using an increasing number of data sources and tools to perform research and create links in their data. Unfortunately, cases are still being abandoned or taking too long to solve.”

The full report can be downloaded here.

Source: Siren

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