IT Security Status in Under 30 Seconds: Instant Overview with the LocateRisk MCP Interface
This text was generated using artificial intelligence (AI).AI-Powered IT Security Analysis When management requests an assessment of the IT security situation on short notice, every minute counts. LocateRisk provides an interface for this purpose based on the Model Context Protocol (MCP) ready. As currently the only provider in the External Attack Surface Management (EASM) LocateRisk thus enables direct machine-to-machine communication between the security platform and artificial intelligence. The result: a comprehensive, presentation-ready overview of the external attack surface in under 30 seconds.
Seamlessly connect your own AI models - MCP makes LocateRisk part of your infrastructure With the LocateRisk MCP interface Integrate your own AI model (e.g., internal ChatGPT, Claude, or local open-source models) directly into our system. You don’t need to program complex interfaces—your AI „understands“ our data natively through the MCP. This allows you to retain full control over your analysis logic and use your familiar environment for automated security reports.
The following case study illustrates exactly what this looks like in a time-sensitive situation.
This image was created using artificial intelligence (AI).
Case Study: Instant Overview—IT Security Status in Under 30 Seconds
Initial situation
A CISO is called into an executive board meeting on short notice. An industry-wide incident has unsettled senior management: „Are we affected? How secure are we?“ Without automated tools, the CISO would have to manually compile data from various sources—a process that takes days, not minutes.
Solution with the LocateRisk MCP interface
The AI assistant runs four queries in seconds and provides a complete overview of the situation.
Step 1: Resolve domain
The CISO makes a simple request to his AI: „Show me the current security status of locaterisk.com.“ The system automatically identifies the correct vulnerability analysis and the most recent scan.
Step 2: Download the Safety Report
This concise report immediately provides the key metrics:
Metric
Value
Total Score
92,9 / 100
Critical Findings
5 (High)
Key Findings
73 (Medium)
Minor Findings
122 (Low)
Server
24
Subdomains
44
IP addresses
24
Industry Percentile
100 % (Top Position)
Step 3: CVE Analysis
The AI assistant identifies known vulnerabilities using publicly available exploits—including CVE-2023-44487 (HTTP/2 Rapid Reset), a known DDoS vulnerability with an active exploit.
Step 4: Phishing Monitoring
Three suspicious domains were automatically detected:
In addition, the trend over the last seven scans illustrates the impact of security efforts: The score rose from 87.8 points (in early November) to 92.9 points in the most recent scan from January.
Result: A situation report ready for presentation to the Executive Board
In less than 30 seconds, the CISO has a complete overview of the situation: an overall score in the top percentile for the industry, identified CVEs with exploit status, detected phishing threats, and a positive trend. This overview can be presented directly to the executive board.
Time saving
Without LocateRisk MCP
With LocateRisk MCP
2–5 business days
< 30 seconds
4+ different tools
1 AI Conversation
Manual Summary
Automatically structured
Compliance and digital sovereignty
An up-to-date overview of the situation that can be accessed at any time supports the requirements of the NIS-2 and the IT baseline protection to continuous risk management. LocateRisk operates its analytics platform in certified data centers in Germany and the EU. This guarantees that sensitive information about your attack surface is processed in compliance with the GDPR and remains protected from access by the US Cloud Act.
The status report combines four queries into a single AI conversation: the overall score with findings categorized by severity, infrastructure metrics (servers, subdomains, IP addresses), known CVEs including exploit status, and detected phishing domains. In addition, the scan history provides trend data spanning several months.
The interface's responses are optimized for AI Context Windows and are available in the In the kilobyte range rather than the megabyte range. The AI receives only the information it actually needs. Together with the Stateless architecture, which also withstands server restarts without losing the session, results in a stable and fast query process.
The data comes from vulnerability analyses performed by the LocateRisk platform. The system automatically retrieves the most recent scan and can access a complete history for trend analysis—in the example shown, 67 historical scans.
A major advantage of the MCP interface is the Sovereignty in the choice of model. Companies can directly integrate their own AI infrastructure—such as locally hosted open-source models or private instances of ChatGPT. Since data processing at LocateRisk takes place in certified data centers in Germany and the EU the entire chain remains GDPR-compliant and protected from the US Cloud Act.
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Identify and reduce your cyber risks through a comparable and understandable overview of your IT security. Let our experts advise you and find out how LocateRisk can help you solve your cyber risks.
Want to find out more, book a demo or simply exchange ideas? We look forward to hearing from you!
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