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ThreatStream vs. ThreatConnect

Both Anomali ThreatStream and ThreatConnect operationalize threat intelligence by enriching it, adding context, ranking it by severity and confidence, and prioritizing analyst work queues. Read on to discover how these platforms measure up in the areas that matter most to your security strategy.

Comparing Threat Intelligence Platforms

This ThreatStream and ThreatConnect features table below compares the analysis, automation, integration, speed, visibility, and scalability capabilities for both threat intelligence platforms.

Overall, ThreatStream's maturity, massive repository of curated threat intelligence, enterprise-grade data handling, and AI capabilities put ThreatStream at an advantage. With ThreatConnect's recent acquisition by Dataminr, it is unclear whether the platform will maintain its capabilities or continue to innovate.

Analysis
Built-In Scoring & Prioritization:

ThreatStream leverages Macula (ML engine) and Agentic AI to automatically score, prioritize, and correlate IOCs against internal telemetry. Scoring logic is explainable and visible to analysts.
Collective Analytics Layer (CAL) Add-On:

ThreatConnect’s proprietary Collective Analytics Layer (CAL) uses ML and AI for confidence scoring, indicator enrichment, and risk analysis, but is offered only as a paid add-on and does not correlate to internal telemetry.
AI & Analyst Augmentation
A

Embedded throughout the platform, AI assists with enrichment, scoring, investigation, and response while using natural language prompts (e.g. “Which of these IOCs are active in our environment?”).
Layered AI Support:

AI/ML insights are limited to CAL and not available as a unified assistant; analysts must pivot between modules and tools to find context.
Automation
Adaptive Automation:

ThreatStream delivers robust automation and orchestration capabilities, which create workflows based on curated threat intelligence across your entire security infrastructure.
Response Playbooks for Specific Scenarios:

ThreatConnect offers SOAR capabilities through automated playbooks designed for specific security scenarios. As scenarios evolve, playbooks must be revised to match new conditions.
Integrations
2

The ThreatStream APP Store offers more than 200+ diverse, curated threat intelligence sources (commercial, ISAC/ISAO, OSINT) – providing superior global threat visibility.
100+ Sources:

ThreatConnect cites “100+ current integrations - many of which are OSINT or uncurated open market feeds, requiring more analyst curation.
Intelligence Sharing
Seamless Sharing & Collaboration:

Supports automated, secure sharing via ISACs, trusted circles, and peer communities.
Configurable Sharing:

ThreatConnect enables community and CAL-based sharing but distribution typically requires manual configuration of rules or playbooks.
Speed
Real-Time Visibility:

GenAI offers real-time visibility into potential vulnerabilities, anomalies, and active attacks with response times of seconds.
Near Real-Time Visibility:

ThreatConnect offers near real-time visibility into threats, with response times measured in minutes.
Search and Query Experience
Natural Language Querying:

Analysts can ask plain-English questions (e.g. “Show C2 activity linked to TA557”) and get sub-second results across petabyte-scale data.
Structured Query Design:

Requires manually built queries or playbooks to correlate data between modules. No natural-language assistant capability is documented.
Summarization
Actionable, Curated Intelligence:

Use of integrated AI generates multi-level summaries of threat data in seconds across the industry’s broadest range of threat intelligence sources and automatically correlates it to internal telemetry.
Collective Analytics Layer Summaries:

ThreatConnect relies on summarization through its Collective Analytics Layer (CAL), which is limited to 60 OSINT feeds and requires additional spend. It does not correlate to internal telemetry.
Scalability
Enterprise-Grade, Cloud-Native:

Highly scalable, querying petabytes of data and returning results in seconds.
Lower Scalability:

Lower scalability with query response times measured in minutes.
Operational Impact
Optimized Efficiency:

Native correlation between external intel and internal telemetry boosts analytics accuracy, reduces MTTR, and eliminates repetitive triage.
Manual Correlation Required:

Analysts connect intel to alerts manually or via playbooks, increasing overhead and response time.
Platform Experience
Unified, AI-Driven Platform:

Combines threat intelligence, analytics, and response within a single workspace - no add-ons required.
Modular Add-Ons:

CAL and SOAR are distinct modules sold separately without automated correlation to internal telemetry, creating workflow silos and added cost.

Transforming Threat Intel Programs

“Before Anomali, we had tons of information without context. We had to look through thousands of alerts quickly just to see what stood out and then react to those. Anomali enabled us to spend less time dealing with noise, and more time focusing on critical issues.”
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Devin Ertel

CISO, Blackhawk Network Holdings

“We leverage market-leading tools to give our company a competitive advantage and our 24/7 SOC a leg up on bad actors. With Anomali, we improve on both of these goals. By adding intelligence, we achieve a high level of certainty that enhances prioritization of the most serious threats our customers face, while improving our mitigation decisions.”
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Grant Leonard

Co-Founder, Castra

“The time it takes to analyze a threat has gone down from 30 minutes to just a few minutes, time that adds up over the course of investigating many malicious IPs every week. There has been a substantial decrease in terms of meantime-to-know.”
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Arindam Bose

Senior Vice President & Security Officer, Bank of Hope

“As one of the prominent banks in the United Arab Emirates, we manage assets and transactions for thousands of customers. One of our main commitments to our customers is security and we achieve this through solid partnerships with industry experts such as Anomali. By bringing in industry experts, we expect to gain advanced levels of security that will help us to further heighten our defenses and intercept any possible exploitation by cybercriminals.”
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K.S. Ramakrishnan

Chief Risk Officer, RAKBANK

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