India, 2026: RiskProfiler has announced the launch of its RiskProfiler MCP Connector, a new interface designed to enable authorized users to access intelligence and functions from the RiskProfiler platform through compatible AI assistants.
The new connector is aimed at security analysts, risk teams and security leaders, providing a conversational way to investigate external exposures, third-party risks, identity threats, digital threats and ongoing security operations.
Instead of relying solely on multiple dashboards, filters and reports, users can submit natural-language questions through a supported AI assistant. The connector then enables permitted requests to be processed within the customer’s authorized RiskProfiler environment.
What Is the RiskProfiler MCP Connector?
The Model Context Protocol (MCP) is a standardized approach that allows compatible AI applications to interact with connected systems and access information or functions.
RiskProfiler’s MCP Connector applies this interaction model to its external risk intelligence platform. When an authorized user asks a question through a supported AI assistant, the connector can translate the request into permitted queries or functions within the user’s RiskProfiler environment.
The resulting information can then be presented through the AI assistant for further exploration and analysis.
RiskProfiler continues to serve as the underlying intelligence platform and system of record, including the enforcement of access controls and provision of customer-specific intelligence.
Conversational Access to External Risk Intelligence
The connector is designed to help security teams investigate multiple external risk areas using natural-language interactions.
Depending on customer configuration and authorization, users can investigate areas such as:
- External attack surface changes
- Third-party and vendor risk
- Credential exposure
- Digital threats
- Identity-related risks
- Vulnerability intelligence
- Brand threats
- Security operations
- Ongoing assessment activity
This approach is intended to reduce the manual effort involved in moving between different dashboards and reports during security investigations.
RiskProfiler MCP Connector and KnyX AI
The new connector also complements KnyX AI, RiskProfiler’s agentic investigation capability.
According to the company, KnyX AI is designed to collect and correlate evidence, investigate threat signals, generate confidence-scored findings and support remediation according to customer-defined policies.
The MCP Connector provides another conversational access point through which users can request and explore intelligence generated or maintained within the RiskProfiler environment.
This combination is designed to help analysts move from a potential security signal toward investigation, validation and prioritization.
Connecting Multiple External Risk Domains
A key feature of the connector is its ability to support investigations across different external risk domains.
For example, an analyst investigating a specific domain could ask for available information related to its exposure, digital threats, vulnerabilities, credentials and third-party context.
Users can then continue the investigation with follow-up questions, allowing the conversation to become more focused as additional context is examined.
This entity-centric approach can help security teams connect related signals rather than treating individual findings as isolated records.
AI-Powered Daily Security Briefings
The connector can also support requests for daily security briefings based on the organization’s configuration and authorized data.
Such briefings may highlight developments including:
- Changes to the external attack surface
- Newly identified security findings
- Changes in vendor risk
- Brand and identity threats
- Pending assessment activity
The objective is to provide security teams with a focused overview of what has changed, why it may matter and which areas may require further investigation.
RiskProfiler Highlights Faster Security Investigation
Setu Parimi, Co-founder and CTO of RiskProfiler, said security teams need to move quickly from identifying potential issues to understanding their relevance to the business.
According to Parimi, conversational access to external risk intelligence can reduce the time analysts spend navigating disparate sources and allow them to focus more on investigation, prioritization and informed action.
Initial AI Assistant Support
RiskProfiler said the MCP Connector is expected to initially support Claude. Integrations for OpenAI’s ChatGPT and Google Gemini are planned to follow.
The company noted that product scope and integration timelines remain subject to final confirmation.
About RiskProfiler
RiskProfiler is an external threat intelligence provider focused on helping organizations identify and manage cyber risks before they escalate.
Its areas of focus include brand monitoring, dark web intelligence, third-party risk management and attack surface management.
The company’s intelligence platform covers areas such as external attack surfaces, brand threats, vendor breaches, identity risks, physical security vulnerabilities and emerging cyber threats.
Through AI-driven insights and automated response capabilities, RiskProfiler aims to help organizations manage external risks and digital threats as the cybersecurity landscape evolves.
Website: RiskProfiler
Disclaimer
Product capabilities, integrations and availability described above are based on information provided by RiskProfiler. Product scope and integration timelines may change and are subject to the company’s final confirmation.