Censys Expands SOC Integrations Across AI and Threat Intelligence Platforms

Apr 28, 2026
Censys has announced new integrations across AI, SOAR, SIEM, and threat intelligence platforms, bringing its internet intelligence directly into security operations workflows. The integrations include Cisco Splunk, Microsoft Sentinel, and Google SecOps, as well as partner-built connections with Palo Alto Cortex, Filigran OpenCTI, Maltego, and Dropzone AI.

Censys announced in a press release new integrations across AI, SIEM, SOAR, and threat intelligence ecosystems to strengthen security operations workflows. The company stated that the updates will provide organizations with improved visibility into IPs, domains, and services, enabling faster response to threats.

The release includes native integrations with Cisco Splunk SOAR and ES, Microsoft Sentinel, and Google SecOps. Censys also introduced partner-built integrations with Palo Alto Cortex, Filigran OpenCTI, Maltego, and Dropzone AI. These additions aim to automate alert enrichment, accelerate triage, and enhance collaboration across security operations teams.

Censys reported that its ecosystem now includes over 55 integrations with more than 45 technology partners. The company said this expansion supports its goal of embedding external internet intelligence directly into the tools used by security teams to improve detection and response capabilities.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Guide
AI voice generators and text to speech services

AI voice generators and text to speech services

Current speech synthesis products for content creators and developers

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.