The Risk Intelligence Gap: Connecting Signals to Security

Imagine that your security team learns that a critical supplier has undergone an ownership change. The new relationship appears routine in one business record. Viewed alongside multilingual reporting, connected entities, and emerging geopolitical activity, however, it may indicate a change in exposure that deserves attention.

The team does not lack data. It has supplier files, corporate records, news coverage, internal assessments, and third-party sources. Its challenge is determining whether those fragments describe the same organizations and people, how they are connected, what has changed, and whether the finding is significant enough to affect a decision.

That is the risk intelligence gap. More information does not automatically produce better awareness. It can just as easily create more places to search, more results to reconcile, and more uncertainty to explain.

Security teams need risk intelligence, not more search results

Babel Street’s risk intelligence software helps government agencies and businesses identify risks and investigate threats. Its risk intelligence platform combines global data, identity matching, relationship analysis, and analyst-directed AI to help organizations answer three fundamental questions:

• Who are we really dealing with?
• Should we do business with them?
• What threats should we be watching?

To help answer those questions, Babel Street brings together data from around the world with tools to match identities, uncover connections, and investigate what is happening. Findings remain connected to sources that teams can examine, helping analysts and decision-makers understand the basis for an assessment rather than relying on an unsupported answer.

This matters because corporate security, intelligence, investigations, business risk intelligence, and enterprise risk intelligence teams operate in an environment of abundant but fragmented information. The information needed to understand a person, organization, supplier, or emerging threat may be divided across systems, languages, formats, and sources.

That fragmentation has practical consequences. Awareness may arrive late because an important signal was buried in an unfamiliar source. A relationship may go unnoticed because two records use different names, spellings, or scripts. Analysts may repeat research another team has already performed. When a finding reaches an executive or business owner, it may be difficult to show where the conclusion came from and how strongly the available data supports it.

Recognizing the growing risk intelligence challenge

Babel Street was recently named a Disruptor in Risk Intelligence and Data Management in the Chartis Research RiskTech100® 2027 report. The annual report evaluates risk technology providers across areas including strategic vision, market impact, innovation, customer success, and execution.

In announcing the recognition, Sid Dash, Chief Researcher at Chartis Research, cited Babel Street’s “targeted and scalable response to novel fraud and threat strategies” as the reason the company was named a Disruptor in this area.

The recognition is significant because it points to an increasingly important operational requirement: helping teams move from scattered information to findings they can understand, substantiate, and act on.

What connected risk intelligence looks like for security teams

For security leaders, “risk intelligence and data management” should translate into four practical capabilities.

Access relevant information

Teams need to look beyond the sources that are easiest to search and reach information relevant to the people, organizations, and events they are assessing. This becomes especially important when meaningful signals emerge in different languages or regions.

Connect identities and relationships

A person or organization may appear under multiple spellings, aliases, transliterations, subsidiaries, or corporate records. Analysts need a way to determine when disparate records may refer to the same entity and identify relationships that could change the risk picture.

Preserve source context

A conclusion is more useful when the analyst can understand where information originated, distinguish a verified record from an allegation, and return to the underlying material. Traceability is essential when intelligence will inform a consequential decision.

Produce decision-ready intelligence

Executives do not need another collection of search results. They need decision intelligence: a clear explanation of what changed, why it matters, what data supports the assessment, and where uncertainty remains.

AI can accelerate parts of this work by helping teams find, organize, and connect relevant information. But speed should not come at the expense of transparency or analyst control. High-stakes intelligence workflows still require checkable sources and human judgment about what the results mean.

Applying risk intelligence to security decisions

The value becomes clear when connected intelligence is applied to everyday security responsibilities.

For executive and workforce protection, identity intelligence and threat intelligence help teams identify and assess potential threats to executives, employees, and travelers. That requires more than spotting an isolated reference. Analysts must understand who may be involved, whether that person or group has relevant connections, and whether the available information indicates a credible change in risk.

For situational awareness, global security operations centers need to understand developing events and their possible implications for people, locations, and operations. During a fast-moving event, the objective is not simply to collect updates. It is to identify what has changed, determine which assets may be affected, and give leaders information they can use.

The same approach supports event and venue security, helping teams assess potential threats before an event and monitor changing conditions around a venue. It also strengthens facility and asset protection by adding external context, including relevant cyber risk intelligence, about threats that could affect offices, critical sites, or business operations.

In insider risk and threat investigations, external intelligence can add important context to information already available within the organization. Source-grounded research into identities, relationships, and activity can help investigators examine a concern more fully while allowing the appropriate team to determine what the information means.

Across these use cases, the goal is not to automate judgment or claim that every signal represents a threat. It is to help analysts bring relevant information together, understand its significance, and communicate an assessment that others can examine.

From emerging risk signals to informed security decisions

Babel Street helps teams move through a connected investigative workflow.

A signal may first indicate that something has changed. Analysts can then investigate the people and organizations involved, identify relevant identities and relationships, and examine additional information that adds context. Because findings remain grounded in sources, the team can evaluate the strength and significance of those findings before communicating an assessment.

The operational value is not simply finding more information. It is helping organizations see emerging risks, investigate people and organizations, understand relationships, and substantiate findings before making decisions.

Whether the responsibility is protecting an executive, assessing conditions around an event, monitoring a critical facility, or supporting an investigation, the underlying need is consistent: connect the right information without losing the source behind it.

Three risk intelligence questions for security leaders

Leaders assessing their own approach should ask:

1. Can our teams determine who we are really dealing with across sources, languages, naming variations, and business records?
2. Can an analyst quickly show what’s behind a finding, including its source, context, and remaining uncertainty?
3. Does our approach help decision-makers understand what matters, or does it simply deliver more data for analysts to review?

The answers reveal whether an organization has accumulated information or developed a usable intelligence capability.

Closing the risk intelligence gap requires more than another data source or dashboard. It requires an approach that connects identities, relationships, and emerging signals; preserves the context behind the findings; and gives leaders intelligence they can examine and use.