5 Ways ThreatQ Automates Threat Intelligence to Simplify SecOps

At ThreatQuotient a Securonix company, we’ve cracked the code on how to use threat intelligence to simplify security operations. It involves using automation and AI to accelerate and improve threat intelligence management to help teams work smarter, not harder. Our ThreatQ Platform provides a data-driven way to streamline the threat intelligence lifecycle – a structured process for collecting, analyzing, distributing, and honing threat intelligence to improve defenses. Organizations get: 

• Custom threat intelligence aligned to their unique risk profile.
• Reduced noise, automated tasks, and streamlined investigations for better decision-making.
• Synchronized teams and tools for great efficiency and impact.

Let’s look at the top use cases that deliver these benefits.

1. Feed Aggregation: ThreatQ aggregates threat data from a wide range of sources, including open-source intelligence (OSIN), commercial feeds, firewalls and SIEM sightings. The data is automatically normalized and correlated to eliminate noise and identify relationships. Users get a unified view of potential threats and vulnerabilities that aids in analysis and action.
2. Auto Enrichment: ThreatQ integrates with over 400 security products and internal and external data sources to automatically enrich threat intel indicators with context for better understanding and meaning. Generative AI tools streamline the extraction of contextual information for additional enrichment. Teams can handle larger volumes of data more efficiently and cost-effectively and make more informed decisions about their security posture.
3. Intelligence Prioritization: Customizable scoring that aligns with organizational risk and is transparent to the user ensures clarity and trust in the scoring process. Teams can tailor scoring by weighing attribute types differently, adapting the scoring scale, and adjusting for industry-specific threats. Intelligence is automatically reprioritized as new intelligence is added to the ThreatQ platform, so teams stay focused on the most relevant threats. 
4. Intelligence Sharing: ThreatQ supports a diverse set of sharing models, from machine-readable to human readable, and adheres to open intelligence sharing standards. Vendor agnosticism, segregated environments, and deployment flexibility ensures support for a wide range of user requirements. Organizations, MSPs, and ISACs leverage the platform to share intelligence across specific groups and subgroups of constituents with controls that ensure security while enabling collaboration. 
5. Report Authoring: Automated reporting derived from real-time, prioritized data and standardized formats ensure accuracy and consistency. Automated content generation through large language models (LLMs) accelerates reporting. Built in collaboration workflows allow multiple users to contribute to report generation, fostering analytical depth and credibility. Reports can be tailored for different stakeholder groups and automatically generated and distributed to support better, faster decision-making by operators and policy-makers.

Organizations of all sizes and levels of complexity rely on ThreatQ to help them utilize threat intelligence to simplify security operations. Whether you’re looking to accelerate and improve feed aggregation, data enrichment, intelligence prioritization, intelligence sharing, report authoring or all of the above, ThreatQ can help. Schedule a demo and we’ll show you how.