Best Threat Intelligence Services: Top 6 Solutions in 2025

What Are Threat Intelligence Services? 

Threat intelligence services collect and analyze data on potential cyber threats. These services provide organizations with insights and indicators of compromise (IOCs) to protect against attacks. By using information from multiple sources, they build a detailed picture of the threat landscape. 

This intelligence enables organizations to prioritize security resources and respond more effectively to emerging threats. The main goal is to stay ahead of cyber adversaries by understanding their tactics, techniques, and procedures. 

The increasing complexity of cyber threats requires solutions. Threat intelligence services help organizations keep up with evolving threats by offering timely, relevant, and actionable information. These services are integral in monitoring external threats, analyzing trends, and predicting potential security incidents.

This is part of a series of articles about cyber threat intelligence

Benefits and Challenges of Cloud-Based Threat Intelligence 

Cloud-based threat intelligence offers scalability, faster deployment, and easier integration compared to on-premises solutions. Organizations benefit from real-time updates delivered via cloud platforms, ensuring access to the latest threat data without manual intervention. These services also support collaboration, allowing threat data to be shared and correlated across different environments and regions.

Another key advantage is reduced infrastructure overhead. Cloud services eliminate the need for dedicated hardware and maintenance, making threat intelligence more accessible for smaller organizations. Additionally, many providers offer machine learning capabilities that improve data analysis and threat prediction.

However, cloud-based solutions introduce new challenges. Data privacy and control are major concerns, especially when sensitive threat data is stored or processed externally. Dependence on third-party providers may also limit customization and visibility into detection mechanisms. 

Latency and availability can impact performance, particularly during high-demand periods or outages. Organizations must also evaluate compliance with regulatory standards when using cloud-based threat intelligence services.

Related content: Read our guide to threat intelligence providers (coming soon)

Notable Threat Detection and Response Solutions with Threat Intelligence Features

1. Exabeam

Exabeam is a cloud-delivered SIEM and security operations platform designed to unify log management, advanced analytics, and automated response. By combining behavioral analytics with flexible integrations, it helps organizations transform raw threat data into actionable insights. Exabeam supports both commercial and open-source threat intelligence services, ensuring security teams can operationalize intelligence from multiple sources within their SOC.

General features:

• Behavior-based analytics: Uses User and Entity Behavior Analytics (UEBA) to baseline activity across users, devices, and applications, surfacing anomalies that may indicate insider threats or credential misuse.
• Automated investigations: Builds Smart Timelines™ that correlate disparate security events into a single incident view, reducing analyst workload and accelerating response.
• Flexible deployment: Available as SaaS with elastic scaling, making it easier to handle high event volumes without on-premises infrastructure.
• Agentic AI support: Exabeam Nova, a system of AI-powered agents, automates detection engineering, natural-language threat hunting, and executive-level reporting.

Threat intelligence features:

• Feed ingestion: Supports ingestion of threat intelligence from commercial providers, open-source communities, and government sources via APIs or standards such as STIX/TAXII.
• IOC correlation: Automatically compares imported indicators (IPs, domains, hashes, URLs) against internal logs, endpoint data, and user activity to validate whether threats are active in the environment.
• Risk-based prioritization: Merges external IOCs with Exabeam’s behavioral risk scoring, ensuring analysts focus on the threats most likely to cause impact.
• Automated response: Integrated with SOAR workflows, Exabeam can trigger playbooks that block malicious IPs, isolate compromised accounts, or enrich alerts with threat context.
• Partnership ecosystem: Works with leading threat intelligence service providers such as Recorded Future, Cisco Talos, and Mandiant, while also supporting open-source platforms like MISP.

By bridging external threat intelligence services with internal behavioral analytics, Exabeam ensures that threat data is not just ingested but contextualized. This approach reduces false positives, accelerates investigations, and empowers SOC teams to respond to cyber threats with greater speed and precision.

2. CrowdStrike Falcon X

CrowdStrike Falcon X is a cloud-delivered threat intelligence solution that integrates with endpoint protection to automate incident analysis and accelerate response. Designed to make predictive security accessible to organizations, Falcon X combines automated threat investigations, malware analysis, and expert-generated intelligence into a single platform. 

General features:

• Cloud-native integration: Delivers endpoint protection and threat intelligence in a unified, scalable platform.
• Automated incident analysis: Reduces investigation time using AI to generate context and recommendations.
• Behavior-based detections: Identifies threats across endpoints, identities, and cloud environments.
• 24/7 threat hunting: Uses Falcon Adversary OverWatch to search for evasive threats.
• AI-driven insights: Improves SOC workflows with machine learning and human-validated threat intelligence.

Threat intelligence features:

• Curated threat intelligence: Provides IOCs, adversary profiles, and malware data through Falcon Adversary Intelligence.
• Dark web monitoring: Detects credential exposure, impersonation, and fraud campaigns targeting the organization.
• MITRE ATT&CK mapping: Aligns threat data to tactics and techniques for structured analysis.
• Detection rule libraries: Includes ready-to-use hunting libraries and prebuilt detection rules.
• Cross-domain correlation: Integrates threat data across endpoints, identity, cloud, and SIEM sources.
• Expert threat support: Offers custom briefs and analyst collaboration via Counter Adversary Operations services.

Source: CrowdStrike 

3. Microsoft Sentinel

Microsoft Sentinel is a cloud-native SIEM (security information and event management) and SOAR (security orchestration, automation, and response) platform designed to aggregate and analyze security data at scale. Its integrated threat intelligence capabilities allow organizations to ingest, manage, and operationalize threat data from a range of internal and external sources. 

General features:

• Data aggregation at scale: Ingests logs and alerts from multiple data sources into a single workspace.
• Automated response: Uses playbooks to trigger incident workflows and remediation tasks.
• Built-in analytics: Provides preconfigured rule templates to detect threats using known patterns and indicators.
• Microsoft ecosystem integration: Works with Defender XDR and other Microsoft tools to improve detection and response.
• Scalable architecture: Operates in the cloud with dynamic resource allocation for high-volume environments.

Threat intelligence features:

• Multi-source ingestion: Imports threat intelligence via Defender Threat Intelligence, STIX/TAXII, custom APIs, and third-party TIPs.
• Structured data management: Uses STIX objects to represent indicators, actors, techniques, and relationships.
• Ingestion rule customization: Filters and modifies incoming threat data to reduce noise and extend validity.
• Threat context enrichment: Adds GeoLocation and WhoIs data to IP and domain indicators.
• Relationship modeling: Links IOCs to threat actors, victims, and attack patterns using the relationship builder.
• Built-in analytics integration: Matches imported indicators against log data to trigger alerts and incidents.
• Workbook visualizations: Displays threat intelligence insights via customizable interactive dashboards.

Source: Microsoft 

Cloud-Based Threat Intelligence Services

4. Recorded Future

Recorded Future is a threat intelligence platform that uses artificial intelligence to automate the collection, analysis, and delivery of threat data at scale. It provides a centralized view of the external threat landscape, integrating insights from open sources, dark web, technical telemetry, and customer data. 

Key features include:

• Automated, real-time intelligence: Continuously gathers and analyzes data across millions of sources.
• Coverage: Leverages a range of threat data, including dark web, open web, technical sources, and customer telemetry.
• Integrations: Offers over 100 integrations with tools like SIEM, SOAR, and ITSM to embed intelligence into daily operations.
• Intelligence graph: Links and structures threat data automatically to uncover connections between adversaries, infrastructure, and targets.
• Recorded Future AI: Automates threat analysis and supports users through a natural language interface to speed up investigation and response.

Source: Recorded Future

5. ANY.RUN

ANY.RUN is an interactive malware analysis platform that also functions as a threat intelligence tool. It enables security teams to accelerate investigations by providing community-sourced threat data sandbox sessions. Analysts can search across millions of malware execution records to gain deep context around indicators of compromise (IOCs) and attacker techniques. 

Key features include:

• Threat intelligence lookup: Searches across sandbox research sessions to find related threat data, including malware behavior, IOCs, and TTPs.
• Fast results: Retrieves threat context quickly, with access to six months of historical data.
• Threat context enrichment: Supports over 40 parameters—including hashes, IPs, URLs, registry keys, and YARA rules—to uncover threat behavior and relationships.
• Sample analysis: Leverages threat intelligence from over 500,000 analysts contributing fresh malware samples.
• Deep search capabilities: Performs in-depth queries across event fields to identify related malicious activity and infrastructure.

Source: ANY.RUN

6. Anomali ThreatStream

Anomali ThreatStream is a threat intelligence platform that enables organizations to operationalize curated threat data for detection, analysis, and response. By correlating threat intelligence with internal telemetry, it transforms data into actionable insights, helping security teams detect known and emerging threats faster. 

Key features include:

• Global threat intelligence access: Connects to hundreds of threat feeds and enrichment sources within a large curated threat intelligence repository.
• Personalized dashboards: Offers real-time visibility into threat actors, TTPs, vulnerabilities, and campaigns through tailored dashboards that match the industry, geography, and tech stack.
• Contextualized intelligence: Offers context on malware, adversaries, IOCs, IOAs, and vulnerabilities, ranked by severity and confidence.
• Advanced Threat modeling: Visualizes and simulates attack scenarios using MITRE ATT&CK^® profiles to identify coverage gaps and improve proactive defenses.
• Automated intelligence correlation: Maps external threat data to internal vulnerabilities and assets for faster investigation.

Source: Recorded Future

Conclusion 

Threat intelligence services are essential for staying ahead of cyber threats. By continuously collecting, analyzing, and contextualizing threat data, these services empower organizations to make faster, smarter security decisions. Their ability to deliver real-time, actionable insights improves threat detection and response capabilities while reducing the risk of breaches. As cyber adversaries grow more sophisticated, leveraging threat intelligence services becomes a critical component of a proactive and resilient cybersecurity strategy.