5 Powerful Automations You Can Build with BlinkOps + ThreatQuotient

In this article, you will learn how BlinkOps integrates with ThreatQuotient (now part of Securonix) to automate threat intelligence workflows. These automations enrich raw indicators, accelerate threat response, and optimize incident investigations – turning high volumes of threat data into actionable defense.

Security teams are bombarded with threat indicators from countless sources daily – trying to keep up without automation is like drinking from a firehose. ThreatQ’s platform helps aggregate, analyze, and act on threat intelligence to focus defenders on the right threats, but acting on that intel in real-time still requires connecting many tools and steps.

This is where BlinkOps comes in.

By leveraging BlinkOps + ThreatQ, SecOps teams can operationalize threat intelligence through no-code workflows – ensuring that IOCs (indicators of compromise) automatically trigger enrichment, blocking, alerting, and more. Below are five threat intelligence automations you can implement with BlinkOps + ThreatQuotient.

1. Enrich and Prioritize New IOCs

Every day, new indicators of compromise pour into ThreatQ from feeds, reports, and analysts. Sifting through this avalanche of IOCs to find what truly matters is a daunting task. A hash or IP address by itself tells you very little – raw intel rarely explains why an indicator is important, forcing analysts to manually lookup context before judging its risk. Without enrichment, valuable clues get missed or mis-prioritized amid the noise. An automation that enriches and scores each incoming IOC ensures your team focuses on high-fidelity threats rather than chasing low-value artifacts.

Step-By-Step Workflow

1. Whenever ThreatQ ingests a new indicator (e.g. a suspicious file hash, domain, or IP), it triggers a BlinkOps workflow.

2. BlinkOps calls external and internal intelligence sources to enrich the IOC with context. For example, it can look up the file hash on VirusTotal for malware details, query WHOIS for domain registration info, or pull related alerts from your SIEM/EDR logs. This adds threat type, reputation scores, previous sightings, etc. to the indicator.

3. The workflow then checks if the IOC appears in your environment. BlinkOps can fetch data from asset inventories or endpoints to see if any business-critical system has communicated with that IP or file hash.

4. Based on the enrichment and asset context, BlinkOps assigns a risk score or priority to the IOC. For instance, a malware hash seen in your network with high VirusTotal detection gets a high score. High-risk IOCs are flagged for immediate attention (via Slack), while low-risk ones can be queued for later.

Immediate Benefits

By automating IOC enrichment and prioritization, your analysts no longer need to manually research every new indicator. The signal-to-noise ratio improves dramatically – instead of drowning in low-value IOCs, the team sees which few indicators pose a real threat to your organization. This workflow ensures that when threat feeds deliver new data, it’s immediately contextualized and ranked. Analysts can focus on investigating the high-priority, relevant threats first, confident that BlinkOps + ThreatQ have done the heavy lifting on background intel gathering.

2. Automated Threat Intel to Blocklist Pipeline

When ThreatQ confirms an indicator is malicious – say an IP address linked to active malware or a phishing domain your organization encountered – speed is everything in mounting a defense. Pushing known bad IOCs to enforcement systems (firewalls, EDRs, proxies, etc.) by hand can take hours or days, giving attackers a window of time to operate within. An automated pipeline from threat intel to blocklists cuts that containment delay to near-zero. The moment an IOC is validated as malicious in ThreatQ, BlinkOps can fan it out to all the right security controls – effectively slamming the door on the attacker infrastructure without waiting for human intervention.

Step-By-Step Workflow

1. An analyst or ThreatQ’s scoring flags an IOC as confirmed malicious (e.g. after enrichment or investigation). This status change triggers a BlinkOps workflow for containment.

2. BlinkOps automatically pushes the IOC to your enforcement points. For example, it can add the malicious IP or domain to your firewall’s blocklist, send the hash to your endpoint protection platform to quarantine or block, and update any web proxy or DNS filtering solutions to drop traffic related to this indicator. This happens in parallel across tools, ensuring comprehensive blocking.

3. The workflow keeps track of these actions to ensure accountability. BlinkOps can create a log in your case management or ticketing system (like Jira or ServiceNow) to show that the IOC was blocked across different systems. It can also alert the right teams by, for example, sending a Slack message or an email to the SOC and incident responders saying, “Indicator X was found to be harmful and has been blocklisted on the firewall, EDR, and proxy.”

Immediate Benefits

This automation accelerates threat containment from what might be hours of manual updates to just seconds. Faster containment directly shrinks attacker dwell time and damage – threats that could linger for days are stopped almost immediately. Organizations with quicker incident response generally reduce breach costs and impact quite a lot. Additionally, this workflow provides consistency: every validated threat indicator is handled the same way, every time, without anything falling through the cracks. Your security controls remain up-to-date with the latest intelligence, and your team is free to concentrate on investigation and remediation rather than rote blocklist management.

3. Daily Threat Feed Digest to SOC

Threat intelligence isn’t just about reacting to confirmed IOCs – it’s also about keeping the team informed of upcoming threats. However, the volume of threat data coming in each day from ThreatQ can overwhelm analysts. New malware campaigns, threat actor reports, and indicator updates flood the platform, and manually reviewing all this intel is impractical. Important insights might be buried in feeds or missed until it’s too late. A daily automated digest can solve this by giving the SOC a concise briefing on what changed in ThreatQ in the last 24 hours. It’s like an executive summary of your threat landscape each morning, curated by BlinkOps.

Step-By-Step Workflow

1. BlinkOps kicks off this workflow every day at a set time. It queries ThreatQ for any new high-priority indicators, notable threat actor profiles, or active campaigns added or updated in the past day.

2. The workflow aggregates the findings into a human-readable summary. For example, “10 new malicious IPs added (5 associated with Threat Actor A), 2 new phishing domains observed, Trending Threat: Ransomware XYZ active in finance sector.” BlinkOps can automatically generate a brief description for each item (leveraging ThreatQ data like threat scores or tags) so the intel is contextualized.

3. Once compiled, BlinkOps delivers the digest via the team’s preferred channels. This could be a Slack message in the SOC channel, an email newsletter-style message to security staff, or even a page in a Notion/Confluence space. The digest highlights what’s new and important, with links back to ThreatQ for analysts who want to dive deeper into a specific intel item.

Immediate Benefits

With an automated ThreatQ daily digest, your team starts each day with awareness of the latest relevant threats without trawling through feeds or portals. It combats information overload by filtering signals from noise – analysts see just the high-priority intel that needs attention, rather than wading through hundreds of low-value alerts. This keeps the SOC proactive: they can pre-emptively check defenses against newly shown IOCs or be on the lookout for the day’s emerging attack tactics. Over time, this workflow builds a shared situational awareness across the team. Even if an analyst missed a threat intel update yesterday, the BlinkOps-generated summary ensures everyone stays in the loop, improving coordination and readiness.

4. Auto-Generate Intel-Driven Detection Content

Knowing about a threat is good; detecting it in your environment is better. ThreatQuotient often contains rich intelligence on new threat actor TTPs (tactics, techniques, and procedures) and IOCs, but translating that into detection rules can lag behind. Security engineers traditionally have to craft Sigma rules, YARA signatures, or SIEM queries by hand for each new threat – a time-consuming process requiring specialized skills. This lag time means adversaries might slip through unnoticed while the detections catch up. BlinkOps can leverage ThreatQ data to automatically generate detection content tailored to your tools, ensuring your defenses stay threat-informed and up-to-date with minimal delay.

Step-By-Step Workflow

1. When ThreatQ is updated with a new threat actor profile or an ongoing campaign (e.g. ThreatQ receives a report on “APT 123” or a new malware family), a BlinkOps workflow is initiated.

2. BlinkOps pulls the relevant intelligence from ThreatQ – such as key IOCs (like file hashes, C2 domains, malicious IPs) and TTP details (e.g. “uses PowerShell to download payloads,” or MITRE ATT&CK techniques observed).

3. Based on this intel, the workflow programmatically creates draft detection content. For example, it could formulate Sigma rules that look for those specific file hashes or ATT&CK techniques in your log data, craft YARA rules to identify the malware files by their characteristics, or build EQL (Elastic Query Language) queries to detect the described behaviors in your Elastic stack. These rules can be templated and filled in by BlinkOps using the ThreatQ data (ensuring things like actor names, file hashes, etc. are plugged into the right places in the rule syntax).

4. Once the detection content is generated, BlinkOps can automatically open a pull request in your detection rule repository (e.g. a GitHub repo for SIEM content) or even use the SIEM’s API to upload the new rules for testing. The workflow could tag these as “new threat intel-based rule for review.” Security engineers then just have to review and approve, rather than writing from scratch. In other setups, BlinkOps might directly load the rules into the target system (Splunk, Elastic, etc.) under a certain disabled status for an engineer to enable after validation.

Immediate Benefits

This workflow shortens the gap between intel and detection. As soon as ThreatQ learns about a new threat, your monitoring tools get the logic to detect it. In practice, this means new threats are caught much sooner, because you’re not waiting days or weeks for someone to hand-write rules. Open standards like Sigma already help teams share detection logic quickly across the community; BlinkOps takes it a step further by generating those detection rules automatically for your organization. For your security engineers, it’s a huge time saver – they can refine or tune rules rather than starting from a blank page. Your SOC benefits by always having detection content that reflects the latest threat intelligence, leading to improved catch rates for new attacks.

5. Incident Triage and Threat Correlation

When an incident or alert hits your SIEM/SOAR, one of the first questions analysts ask is: “Have we seen these indicators or tactics before, and what do we know about them?” Often this means pivoting into ThreatQ or other intel sources, searching for the IPs, hashes, or domains involved, and reading up on any related threat actor profiles – all while the incident is unfolding. That context gathering takes precious time and may be incomplete if done manually under pressure. By integrating ThreatQuotient into your incident response workflows, BlinkOps can instantly inject threat intelligence context into every alert, correlating it with known adversaries and campaigns. The result is richer situational awareness during triage, enabling smarter decisions on containment and investigation steps.

Step-By-Step Workflow

1. Suppose a SIEM alert or SOAR incident is created (e.g. a suspicious beaconing detection or a malware found on a host). This event triggers a BlinkOps workflow to enrich the incident with ThreatQ intel.

2. BlinkOps takes all relevant entities from the alert – such as source IP, destination domain, file hash, email sender, etc. – and queries ThreatQ for each. It pulls back any threat intelligence context: for example, ThreatQ might know that the IP is associated with a known botnet, or that the file hash matches a ransomware sample linked to Threat Actor XYZ.

3. The workflow matches the threat intel to the incident. BlinkOps updates the ticket or SIEM alert with a clear summary, like "IP 10.1.1.1 is linked to TrickBot command and control servers" or "This file hash is tied to known ransomware used in RDP-based lateral movement." It can also include links to relevant ThreatQ entries or reports for additional context.

Immediate Benefits

This automation basically brings intel-driven decision support straight into the war room. Analysts no longer have to hop between systems to understand an alert’s significance – the context is right there in the alert timeline or ticket. By embedding threat intelligence into incident workflows, teams can triage, analyze, and respond faster while minimizing noise. For example, if an alert’s IOCs are tied to a high-profile APT, responders know immediately to treat it as high priority; conversely, if an IOC is flagged as a known benign false positive, they can downgrade the alert. The enriched context also helps reduce false positives and duplicate work – if multiple alerts relate to the same threat actor or campaign, the system will make that connection for you. Overall, BlinkOps + ThreatQ gives your incident responders a powerful assist: every alert comes with its backstory and relevance pre-checked.

Take Your Threat Intelligence Operations to the Next Level

By integrating BlinkOps with ThreatQuotient, organizations can supercharge their threat intelligence operations. The five workflows above demonstrate how no-code automation ensures that intel isn’t just collected, but acted upon in real time. From automatically blocking malicious indicators to feeding analysts a daily intel briefing, BlinkOps turns ThreatQ data into tangible security outcomes.

The result is a leaner, faster security team that focuses on high-value analysis while the tedious work – data enrichment, rule generation, ticket updates – happens in the background. Threat intelligence becomes truly operational: actionable data flows quickly to the tools and people that need it, reducing risk across the board.

If you’re ready to move at machine-speed against emerging threats, it’s time to explore what BlinkOps + ThreatQ can do for you. Schedule a demo to see these integrations in action and unlock the full potential of your threat intelligence platform.