Threat intelligence and attack surface management for technology and SaaS.
Find your leaked source code, exposed secrets and compromised customer data before someone else does: through APIs and an MCP server, not another console.
Your incident is your customers' incident. We help you get there first.
Secrets are committed to public repositories and harvested in minutes. Code, internal identifiers and package names surface on paste sites. Dependency compromise propagates straight to your installed base, and every hour you spend finding out is an hour against an SLA. All of it reachable through the API and an MCP server, because your team is not going to adopt another UI.
What is actually going wrong, and what we do about it
An MCP server for threat intelligence is a standardised interface that lets AI assistants and autonomous agents query and act on a threat intelligence platform directly, using natural language or programmatic tool calls, without a bespoke integration.
Secrets are committed to public repositories and harvested in minutes
Source Code & Secret Exposure DetectionCommit-level repository monitoring, with alarms on hardcoded credentials, keys and tokens as they are pushed: not on a scan interval.
Secrets identified for rotation before they are used.
Code, internal identifiers and package names surface on paste and file-sharing sites
Dark Web Monitoring · Threat InvestigationContinuous monitoring of paste sites, file sharing services and public repositories for content matching yours.
Exposure caught inside a window where removal and rotation still limit damage.
Your incident is your customers' incident, with SLAs attached
Dark Web MonitoringContinuous collection across markets, forums and leak sites for datasets matching your platform and customer identifiers.
You notify your customers before they discover it independently.
Dependency and registry compromise propagates to your installed base
Supply Chain IntelligenceMonitoring of package registries and dependency ecosystems for typosquatting, malicious packages and compromise affecting your dependencies.
Compromise detected before it reaches customer environments.
Your team will not adopt another UI
APIs · MCP ServerFull API coverage of platform capability, an OpenAPI reference with interactive testing, and an MCP server callable from Claude and ChatGPT.
Intelligence consumed programmatically, or queried in natural language, with no console adoption required.
AI that decides, explains itself, and learns your environment
Decides
AI agents decide whether an alarm should exist at all: evaluating infrastructure, content and visual signals before anything reaches your queue.
Explains
Every decision carries a step-by-step reasoning trail with full audit logs, so “why did this fire” and “why didn't it” are both answerable.
Adapts
Your analysts correct verdicts and explain why. The model adapts to your organisation, so tuning compounds instead of resetting.
Beyond agentic detection inside the platform, the MCP server is what makes SOCRadar callable by your own agents: the intelligence layer for whatever you are building, not a destination.
Explore Agentic Threat IntelligenceYou don't need another dashboard
Findings arrive in the tools you already run. Marked ⇄ means bi-directional: status, severity and comments sync both ways, so closing it there closes it here.
Available through
Microsoft Sentinel ⇄ 
Cortex XSOAR ⇄ 
ServiceNow ⇄ 
Jira ⇄ 
Slack ⇄ 
Splunk Marketplace availability matters here as much as technical fit: listings shorten procurement and open committed cloud spend. Open standards throughout: TAXII 2.1, STIX 2.1, native MISP modules, OpenCTI connector.
What is targeting technology and SaaS right now
Technology sits in the top tier of targeted sectors, and the pressure comes from two directions: extortion, and mass exploitation of internet-facing application infrastructure.
Access brokerage operations weaponising known application and CMS vulnerabilities at scale, with live campaign indicators.
Groups currently posting technology-sector victims, with impact scoring mapped to your organisation.
Credential and key exposure across public repositories, paste sites, mobile app packages and exposed storage.
Embedded view from the free CVE Radar, Ransomware Intelligence Tracker and Campaigns feed, filtered to this industry. Named actors and campaigns come from the live data, so the page stays current without a content update.
What our customers say.
50,000+ world-class brands and organizations across 150+ countries.
See SOCRadar in action.
A walkthrough run against your own platform: your repositories, your domains, your dependencies: not a canned dataset.
- Your live exposure: committed secrets, leaked source code and customer data found against your own identifiers.
- API first: the OpenAPI reference with interactive testing, and the endpoints your pipeline would actually call.
- MCP in practice: the same investigation driven in natural language from Claude or ChatGPT.
- Dependency watch: typosquatting and registry compromise caught against the packages you actually ship.
Questions we get from this sector
How do you detect leaked source code and hardcoded secrets?
Public repositories are monitored at commit level, so exposed credentials, keys and tokens raise an alarm as they are pushed rather than at the next scan interval. Paste sites, file sharing services, mobile application packages and exposed storage are monitored in parallel.
What is an MCP server for threat intelligence?
It is a standardised interface that lets AI assistants and autonomous agents query and act on the platform directly. SOCRadar's MCP server exposes tools across multiple intelligence domains and is callable from Claude and ChatGPT, so investigations can run in natural language or be driven programmatically by your own agents.
Is everything in the UI available through the API?
API coverage parity with the interface is the explicit design goal. Capabilities span reputation lookup, indicator enrichment, attack surface data, supply chain assessment, identity intelligence, alarm configuration and multi-tenant provisioning, documented in an OpenAPI reference with interactive testing.
How do you monitor for typosquatted or malicious packages?
Package registries and dependency ecosystems are monitored for typosquatting, malicious publications and compromise affecting the dependencies you actually use, so propagation to customer environments can be interrupted before release.
Additional Resources
MCP for Cybersecurity
Technical deep dive on MCP server architecture, execution model, threat intelligence use cases, security considerations and best practice.
Read the wikiSOCRadar Threat Research Unit
Original investigations from our threat research team, including current analysis of a webshell access-brokerage operation weaponising dozens of application vulnerabilities at scale.
Read the latest researchExternal Attack Surface
Discover subdomains, exposed services, technologies and vulnerabilities from the outside. No account, no install.
Analyse your assets