Why Border Security Needs a Modern Risk Intelligence Platform

Borders are changing. As governments digitize immigration systems, expand e-gates, and rely more heavily on automated decision-making, the traditional tools used to assess risk at the border are no longer enough. Today’s threats are increasingly digital, distributed, and fast-moving — often hidden in plain sight across social media, online forums, news sources, and other publicly available data.

This is why risk intelligence platforms built on open-source intelligence (OSINT) and advanced analytics are essential for modern border security.

A recent independent review by Fortinus Global examines how the Babel Street Risk Intelligence Platform uses OSINT and other data sources to support border control, immigration decision-making, and threat detection. The findings make a compelling case: border agencies that rely solely on watchlists and internal databases are leaving critical intelligence gaps unaddressed.

The challenge: borders are more automated — and more exposed

Across the UK, Europe, North America, and beyond, border agencies are moving toward digital-first processes. Electronic Travel Authorizations (ETAs), online visa applications, and automated border controls improve efficiency and traveler experience, but they also reduce opportunities for in-person assessment.

As the report notes, “more and more travelers do not engage on a person-to-person basis with border authorities,” limiting the ability of officers to detect deception, concealed intent, or prior criminal activity.

At the same time, adversaries are adapting. Organized crime groups, people smugglers, and individuals with violent or criminal intent increasingly operate online — openly discussing routes, tactics, payments, and false documentation on social media and messaging platforms. Much of this activity never appears in traditional law enforcement systems.

The result is a widening gap between what border agencies know and what they need to know.

Moving beyond “known threats”

Traditional border screening systems are effective at identifying “known threats" — individuals already on watchlists or flagged in government databases. But they struggle with what the report calls “unknown threats” or “clean skins” — individuals who are undocumented, using false identities, or not previously known to authorities.

A risk intelligence platform addresses this challenge by analyzing open, commercial, and hard-to-reach data sources to surface patterns, behaviors, and associations that would otherwise remain invisible.

What a risk intelligence platform delivers

The Babel Street Risk Intelligence Platform brings together multilingual data collection, AI-driven analytics, and user-defined risk modeling into a single operational framework. It integrates identity matching, text analytics, sentiment analysis, and network mapping to support real-world border security workflows.

At a high level, the platform enables border agencies to:

• Analyze publicly available information at scale, across more than 50 languages
• Resolve identities across spelling variations, transliterations, and aliases
• Detect behavioral indicators, sentiment, and violent intent in online content
• Map relationships between individuals, facilitators, and organized networks
• Apply configurable risk scoring aligned to agency priorities

Crucially, all data is traceable to its source, supporting transparency, auditability, and compliance.

Real-world border security use cases

The white paper outlines numerous practical applications where a risk intelligence platform can strengthen border operations.

Detecting small boat and irregular migration activity

One of the most pressing challenges facing border agencies is irregular migration facilitated by organized smuggling networks. The report describes how social media is routinely used to advertise crossings, coordinate movements, and share real-time intelligence about routes, weather, and law enforcement activity.

Using sentiment analysis and multilingual keyword searches, a risk intelligence platform can:

• Identify spikes in posts expressing urgency, coordination, or distress
• Detect chatter about boats, smugglers, prices, and departure locations
• Monitor discussions about weather conditions and police movements
• Reveal emerging routes or changes in smuggling tactics

This enables agencies to move from reactive responses to proactive disruption.

Strengthening visa and ETA decision-making

Automated visa and ETA systems depend heavily on self-declared information and checks against limited datasets. The report highlights how this creates opportunities for abuse, overstaying, and entry by deception.

By enriching applications with OSINT-based risk indicators, agencies can:

• Identify undisclosed criminal history reported in foreign news or forums
• Detect online activity inconsistent with stated travel intent
• Uncover organized visa fraud or sponsorship abuse
• Monitor trends that indicate emerging systemic threats

This deeper context helps decision-makers focus attention where it matters most.

Verifying asylum claims and identities

Asylum decision-making is particularly challenging due to limited documentation and the difficulty of verifying overseas claims. The review notes that statements are often accepted “on face value” due to time and resource constraints.

A risk intelligence platform can support asylum processing by:

• Revealing prior residence, travel routes, or asylum claims in other countries
• Identifying inconsistencies in age, identity, or nationality
• Surfacing criminal activity reported outside formal international channels
• Analyzing patterns in claim narratives that suggest coaching or abuse

These capabilities improve both the integrity and efficiency of asylum systems.

Uncovering criminal intent before arrival

The paper also details how online behavior can signal violent or criminal intent before an individual reaches the border. As one example demonstrates, social media posts containing threats or extremist language could have been detected earlier through sentiment and intent analysis.

As the foreword emphasizes: “Many of these criminals are openly communicating with each other on social media in advance of arrival…an earlier identification might have enabled enforcement agencies to intervene at the border or in advance of arrival.”

Designed for ethical, accountable intelligence use

Importantly, the Babel Street platform is designed as a decision-support tool — not an automated decision-maker. Risk criteria, thresholds, and prioritization are defined by agencies, not imposed by algorithms. Human analysts remain central to interpretation and escalation.

The system operates within clear governance and data protection frameworks, with traceable data provenance, role-based access controls, and configurable retention policies. This “human-in-the-loop” model ensures both effectiveness and accountability.

Conclusion

This blog post only scratches the surface of the findings in the Fortinus Global review. The full white paper provides detailed operational examples, technical explanations, and assessments of how risk intelligence platforms can be integrated into existing border environments.

If you are responsible for border security, immigration policy, intelligence operations, or national security strategy, the report offers valuable insight into how OSINT-driven risk intelligence can help close critical gaps — before they become failures.

Download the full white paper to explore the complete analysis, use cases, and recommendations for building a more intelligent, resilient border.