Proactive Detection Engineering: The Capabilities of the Censys Platform

Existing rules within security platforms differ significantly from those needed by a specific organization. Vendors have to balance: overly narrow settings may miss a targeted attack, while too wide generate a huge volume of informational alerts. This leads to excessive resource consumption of SIEM systems and rapid exhaustion of billing limits, transferring the triage stage to internal teams. Moreover, developer companies rarely disclose full information about their coverage to protect intellectual property. In such conditions, organizations must independently create detection logic that covers their unique external influence surfaces.

Waiting for the execution of malicious code at the endpoint is often too late. Modern detection engineering requires intercepting threats at the preparation stages: in account management systems, DNS queries, proxy servers, cloud environments, and the open Internet infrastructure.

Censys Company offers a toolkit that allows detection of infrastructure controlled by attackers even before contact with the corporate network. Integrating platform data into workflows transforms one-time indicators (e.g., an IP address or an unknown certificate) into reusable, reliable detection patterns.

For effective scaling of detection rules, the Censys platform provides specialists with several key capabilities. The analytical pivot function allows taking one domain from logs and finding related common certificates, recurring service fingerprints, or specific dependencies between domains and hosts. The Live Rescan tool helps confirm if the threat is currently active, preventing the creation of rules based on outdated data regarding open infrastructure.

Simultaneously, Collections provides continuous monitoring of infrastructure changes, automating the tracking of cyber-criminal assets and generating ready data streams for SOC analysts.

The difference between basic blocking and true detection engineering is illustrated by the example of the OLUOMO Adversary-in-the-Middle (AiTM) phishing campaign. Instead of simply blocking one detected domain, researchers analyzed the pattern of the attackers. Specific HTML headers, CSS variables of the secure document portal, and data retention keys were recorded, as well as the use of proxy infrastructure based on Azure Web Apps.

Creating a rule based on these artifacts allowed the Censys platform to detect not one domain but 999 unique web resources with a similar pattern. This is the transition from working with fragile indicators to developing durable detection logic.

Analytics and external telemetry should be processed where security teams find it most convenient to make decisions. In SIEM systems, correlation rules are created to check whether internal telemetry refers to IP addresses from the detected malicious database. For SOAR platforms, robotic scenarios are configured to extend the context: upon receiving an alert, the system automatically checks historical DNS records or the ownership of a URL to known C2 infrastructure. For Threat Intelligence class solutions, watchlists are generated, including service script paths and specific textual artifacts of target pages.

The best detection rule is not to block a single link but to create an analytical model that instantly responds to any external manifestations of hostile infrastructure. Detection engineering entails creating a responsible strategy for protecting one’s unique environment, where high-quality intelligence turns basic indicators into a long-lasting and cost-effective defense.

iIT Distribution Company, as a distributor of Censys solutions, provides expert support at all stages of enterprise infrastructure security development. The iIT Distribution team offers technical consultations, assistance in designing security processes, and full project support, integrating as a reliable partner to enhance SOC efficiency and implement advanced cyber protection practices.