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Threat Intelligence Blog | Flashpoint
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Threat Intelligence Blog | Flashpoint

Understanding Illicit Ecosystems: How Dark Web Forums Structure Cybercrime AI, Trust, and the Future of Threat Intelligence Remus Stealer: A New, Not-So-New Infostealer America250 Fourth of July Threat Assessment Unmasking the Digital Trail: Essential Techniques for Vetting AI-Generated Content The Shift to Threat-Informed Prioritization: Operationalizing CISA BOD 26-04 Identity Is the New Attack Surface: How Infostealers Are Reshaping Enterprise Risk Understanding Illicit Ecosystems: Weaponizing Mainstream Apps and Social Infrastructure Connecting Vulnerability Intelligence to Real-World Exposure With Flashpoint EASM Understanding Illicit Ecosystems: XSS and the Current State of the Russian-Speaking Underground How to Align and Measure Threat Intelligence Operations: Flashpoint Priority Intelligence Requirements The Mini Shai-Hulud Worm and the New Era of CI/CD Exploitation Understanding Illicit Ecosystems: The Hybrid Threat of “The Com” AI Threat Report: How Artificial Intelligence Is Used Across Illicit Communities How Mergers and Acquisitions Expand Your Attack Surface Overnight The Evolution of the Geotag: How AI is Bridging the Gap in Location-Based OSINT Navigating the Threat Landscape of the 2026 FIFA World Cup Inside the 2026 Cyber Threat Landscape: Data-Driven Security Priorities Flashpoint MCP Server: Operationalizing Cyber Threat Data for Agentic AI Security Workflows 2026 Gartner® Magic Quadrant™ for Cyber Threat Intelligence: Key Takeaways for Security Leaders Escalation in the Middle East: Tracking “Operation Epic Fury” Across Military and Cyber Domains How to Build and Operationalize Priority Intelligence Requirements National Vulnerability Database (NVD) Shifts to Selective Enrichment as CVE Volume Surges Flashpoint Surpasses Cataloging 7,000 Known Exploited Vulnerabilities as Disclosure Volume Accelerates Why Intelligence Requirements Fall Flat and How to Fix Them with a Practical Priority Intelligence Requirements Framework The Phishing-as-a-Service Pipeline: How a Scalable Fraud Ecosystem Is Driving Global Attacks Tax Refund Fraud in 2026: How Threat Actors Exploit Identity, Verification, and Cash-Out Channels The Language of Emojis in Threat Intelligence: How Adversaries Signal, Obfuscate, and Coordinate Online What the NVD ‘Slowdown’ Means For You: How to Stay Ahead in Vulnerability Management Forrester Threat Intelligence Landscape: Key Takeaways for Security Leaders Connecting Threat Intelligence to Decision-Making: How Flashpoint Is Operationalizing Intelligence in 2026 Iran-Aligned Militias Signal Expanded Regional Risk Amid US–Israel–Iran Conflict Destructive Activity Targeting Stryker Highlights Emerging Supply Chain Risks Navigating 2026’s Converged Threats: Insights from Flashpoint’s Global Threat Intelligence Report What to Know About the Notepad++ Supply-Chain Attack Cyber Threat Intelligence Index: Q3 2023 Edition Beyond Hamas: Militant and Terrorist Groups Involved in the October 7 Attack on Israel The First 72 Hours of the Israel-Hamas War: Hamas and PIJ Activity on Telegram About Us Qakbot Takedown: A Brief Victory in the Fight Against Resilient Malware Unmasking the Attacker and Decoding Threat Actor Patterns The Seven Phases of a Ransomware Attack: A Step-by-Step Breakdown of the Attack Lifecycle Lost in Transition: A Timeline of Failed Successors to Breach and Raid Forums Days of Chaos: How OSINT Helps Us Understand the Putin-Prigozhin Schism Lessons From Clop: Combating Ransomware and Cyber Extortion Events How to Combat Check Fraud: Leveraging Intelligence to Prevent Financial Loss Beyond Gates and Alarms: The Scope and Impact of Physical Security Intelligence Why We Built Flashpoint Ignite: Unity, Power, and Performance The Risk-Reducing Power of Flashpoint Video Search Card Shop Threat Landscape: BidenCash Dumps 2.1M Stolen Credit Cards Flashpoint in 2023: A Note From Our CEO 5 Reasons Taiwan Is a Growing Source of US-China Tension Why We Acquired Echosec Systems: The OSINT Revolution Open Source Intelligence
The Flashpoint Firehose: 5 Questions With Michael Raypold, VP of Engineering
Flashpoint · 2023-07-31 · via Threat Intelligence Blog | Flashpoint

1. Tell me about the Flashpoint Firehose. What needs and challenges was it built to address?

Michael Raypold: The Flashpoint Firehose is a data-as-a-service solution that delivers a constant stream of data from various sources, ranging from social media platforms to messaging apps and illicit communities. It also includes numerous sources from APAC, Europe, the Middle East, and Africa—all vital data sources that are often underrepresented among other providers.

The Firehose delivers access to all ingested data from Flashpoint’s unique collections that data companies, federal systems integrators (FSIs), and large-scale national security teams need in order to build high-quality data and AI tools to enhance global situational awareness, generate timely intelligence, and advance national security initiatives.

With Firehose access, customers can pull key segments of Flashpoint data into their own infrastructure without needing to query our APIs. This unlocks the ability to train large language models or build machine learning models, enabling product development. This is especially important for many of our OEM partners.

2. Why is Flashpoint especially positioned to offer this type of solution?

Threat actors aren’t constrained by borders, and a diverse data set is imperative for organizations working in the cyber and physical security domains. Because of this, Flashpoint has dedicated the last 13 years to building out its collections capabilities and in-house analyst team to deliver actionable intelligence from a wide range of publicly and commercially available information data sources. As a result, Flashpoint has become the industry leader in delivering solutions for cyber threat intelligence, vulnerability management, physical security intelligence, and national security teams.

3. What are some of the unique capabilities of the Firehose?

The Firehose excels in the following primary categories:

  1. Speed: Once the data is ingested by the Flashpoint Firehose, it is delivered to the customer in real-time or near-real-time. This is especially important for customers building products where speed is paramount, such as an alerting dashboard.
  1. Data: Flashpoint focuses heavily on the variety, breadth, and depth of its data, which is incredibly important for our customers who require comprehensive coverage of the information landscape.
  1. Flexibility: The Firehose is designed to enable users to manipulate the data according to their specific needs.

To ease adoption, Flashpoint has also enriched all of the Firehose content with geospatial inference and language detection, making it easier for users to draw actionable insights and pivot off of Flashpoint’s unique selectors.

4. Tell me more about the ML enrichments.

Once collected and structured, the data undergoes enrichment through named entity recognition and machine learning, providing geospatial insight and language detection, offering customers additional ways to filter and query the data while delivering immediate value. This data can then integrate seamlessly into custom products and be indexed according to the customer’s requirements.

5. As an engineer yourself, what excites you the most about the Firehose?

When building high-quality intelligence products, engineers are often limited by the breadth, depth, and availability of the data they can query or make actionable for their customers. This problem is exacerbated when they have to make API queries to third-party providers. 

The ability to ingest Flashpoint data in real time and have end-to-end control over the storage, enrichment, and querying of that data enables really exciting product opportunities. The Firehose allows engineers to ingest data into their own infrastructure and enable a crisper product experience.

The ability to build a notification or alerting pipeline off of a data stream is one possibility that’s unlocked with a Firehose versus a REST API. Others will find that the Firehose is uniquely positioned for anomaly detection, dashboarding, data visualization, training large language models, or extending internal and proprietary data sets to craft a truly differentiated experience.

We’re innovating entirely with our partners in mind, to fulfill their data requirements. The Flashpoint Firehose was built to serve as a force multiplier for their data-driven products, enabling them to realize their visions and value faster.

Learn more about the Flashpoint Firehose here.