The Situation
Governments must prioritize the mitigation of identity, threat, and operations risks with AI-powered approach
The Challenge
One of the main goals of government is to provide security and defense for its citizens — a mission that drives military and civilian agencies alike. The proliferation of data has made that mission more difficult and unimaginably complex.
The explosion of multilingual data requiring analysis has given rise to a Risk-Confidence Gap, and the uncertainty it causes affects decisions that may have dire consequences for a country and its people.
Governments now recognize the value of using open-source intelligence (OSINT) tools to augment traditional intelligence tradecraft and gain global situational awareness using publicly available information (PAI).
The Babel Street Solution
The Babel Street Ecosystem delivers advanced AI-powered data and analytics solutions that help close the Risk-Confidence Gap. Our ground-breaking technology improves the ability to protect against emerging threats by enabling decision-makers to find and focus on the most relevant information.
We start with the most comprehensive range of PAI in the market, including curated data sets from hard-to-reach sources. Then, we power our analytics solutions with artificial intelligence to help extract meaningful insights from the data. Process automation ensures consistency across the organization while creating efficiencies and mitigating risk.
Finally, government organizations can seamlessly integrate Babel Street products with existing systems via API. This means that Babel Street can become part of daily workflows without disrupting or replacing existing system investments.
Babel Street's data and analytics solutions help public sector organizations with these critical operations:
Global situational awareness
Sustained situational awareness gives military leaders a more complete picture of what’s happening in a theater of operations — such as troop movement or maritime activity. It can also help detect civil unrest, terrorist activity, and threats to public venues.
Border security
AI-driven automated screening of entities against public records, watchlists, social media platforms, and other data sources help determine whether individuals or groups pose an entry threat or show evidence of criminal activity, derogatory actions, or other harmful intentions.
Threat intelligence
AI-enabled cross-lingual, persistent search of thousands of global and regional PAI sources in over 200 languages provides advance warning of threats to troops, critical infrastructure, and high-profile individuals with enough time to understand their veracity and prioritize countermeasures.
Supply chain risk management
The global supply chain can be disrupted at any point by war, natural disasters, and geopolitical events. Babel Street solutions can constantly monitor locations where key suppliers conduct business while our expertly curated collections can illuminate insights in areas of strategic interest.
We help government agencies close the Risk-Confidence Gap
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Multi-Language Smart Search
Discover and analyze millions of relevant documents and public records concerning people and organizations with on-demand translation for hundreds of languages
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Automated Bulk Data Enrichment
Process massive volumes of unstructured text by extracting locations, analyzing sentiments, classifying topics, and detecting violent intent
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Entity Resolution
Highly accurate and customizable entity extraction, linking, and disambiguation capabilities detect specific events and relationships within unstructured text
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Safe, Anonymous Web Research
Conduct online research with a localized perspective in a secure environment for managing online appearance, overcoming IP bias, and safely accessing and sharing files
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Social Media Network and Influencer Analysis
From keywords or a few accounts, map the social media network of a topic or group and identify the key influencers within minutes
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Cross-lingual Matching
Matches names of people and organizations, dates, and addresses written in 24+ different languages and their native scripts, for unambiguous comparison with watchlists and databases
