Threat intelligence RFP template and vendor questions
Requirements, questions, and evaluation criteria specific to threat intelligence procurement
6 min read
Threat intelligence platforms (TIPs) are complex systems requiring careful evaluation to ensure they integrate effectively with existing security infrastructure and provide actionable insights. A well-structured RFP is crucial for differentiating between vendors offering basic data aggregation and those providing advanced, AI-driven threat analysis capabilities.
What should a threat intelligence RFP include?
A strong RFP for threat intelligence should define business goals, required capabilities, integration and security needs, implementation expectations, supplier questions, and weighted evaluation criteria. It should make suppliers prove fit rather than only describe features.
What makes threat intelligence RFPs different
Threat intelligence RFPs are unique due to the need to assess both the breadth and depth of threat data, as well as the platform's ability to transform raw data into actionable intelligence. Evaluating integration capabilities with SIEM, SOAR, and EDR solutions is paramount, along with the vendor's expertise in specific threat landscapes relevant to the organization's industry and geographic location.
Compliance with data privacy regulations and the vendor's data sourcing transparency are also critical considerations.
Data source diversity and quality
Integration with existing security tools and workflows
AI-driven analysis and automation capabilities
Vendor's threat research expertise and support
RFP vs RFI vs RFQ
Here's when to use each document type when procuring threat intelligence software.
RFI
Request for Information
Use early in your search to understand what vendors offer and narrow your list. Gather general capabilities, company background, and high-level pricing ranges.
RFP
Request for Proposal
Use when you know your requirements and want detailed vendor solutions and pricing. This is your main evaluation document for shortlisted vendors.
RFQ
Request for Quote
Use when requirements are fixed and you just need final pricing. Often used after RFP when you're ready to negotiate with finalists.
In the context of threat intelligence, an RFI is useful for initial market research to understand the range of available data feeds and platform capabilities. An RFP is essential for a detailed evaluation of a vendor's technical capabilities, data quality, integration options, and pricing, while an RFQ is generally not suitable due to the complex and customized nature of threat intelligence solutions.
Technical requirements checklist
Use this checklist when defining your RFP scope.
Data Feed Requirements
Coverage of relevant threat actors and campaigns
Real-time data updates
Data source diversity (OSINT, commercial, proprietary)
Historical threat data availability
Platform Capabilities
Data ingestion and normalization
Threat intelligence enrichment and correlation
Automated threat scoring and prioritization
Integration with SIEM, SOAR, and EDR solutions
Integration Requirements
API integration capabilities
Pre-built integrations with existing security tools
Custom integration options
Data export formats
Reporting and Analytics
Customizable dashboards and reports
Threat intelligence visualization
Automated report generation
Executive-level reporting
Security and Compliance
Data encryption and security measures
Compliance with relevant regulations (e.g., GDPR, CCPA)
Data residency options
Vendor security certifications (e.g., SOC 2 Type II)
Questions to include in your RFP
Data Sources & Quality
Describe all data sources used in your threat intelligence feeds, including open-source, commercial, and proprietary sources.
Understanding the origin of the data is critical for assessing its reliability and relevance.
What methods do you use to ensure the accuracy and validity of your threat intelligence data?
Ensuring data accuracy is paramount for preventing false positives and wasted analyst time.
How frequently is your threat intelligence data updated?
Real-time updates are essential for staying ahead of emerging threats.
Can you provide sample threat intelligence reports relevant to our industry?
Provides insight into the type of intelligence provided and its relevance to the organization.
Platform Functionality
Describe your platform's ability to ingest, normalize, and correlate threat intelligence data from various sources.
Efficient data processing is essential for deriving actionable insights from diverse data feeds.
Explain your platform's threat scoring and prioritization capabilities.
Automated threat scoring helps analysts focus on the most critical threats.
How does your platform support threat hunting and incident response workflows?
Ensures the platform can be used effectively for proactive threat detection and incident mitigation.
What type of reporting and visualization capabilities are included in your platform?
Reporting and visualization help communicate threat intelligence insights to stakeholders.
Integration Capabilities
Detail your platform's integration capabilities with SIEM, SOAR, and EDR solutions.
Seamless integration is crucial for automating security workflows and improving threat detection.
Do you offer pre-built integrations with our existing security tools? If not, what are the options for custom integration?
Reduces integration costs and time.
Describe your API and its capabilities for data exchange with other security systems.
API access enables custom integrations and automated data sharing.
What data formats are supported for exporting threat intelligence data?
Data export flexibility is important for sharing threat intelligence with other systems.
AI & Automation
Describe how your platform uses AI and machine learning to enhance threat intelligence analysis and automation.
AI-driven analysis can improve threat detection accuracy and reduce manual effort.
Can your platform automatically attribute attacks to specific threat actors?
Attribution helps understand the motivations and tactics of attackers.
Does your AI capability extend to agentic actions, such as reasoning, rule creation, and autonomous triage?
Agentic AI allows for active defense.
Explain how your platform uses AI to predict future attacks based on adversary behavioral modeling.
Describe the security measures implemented to protect threat intelligence data from unauthorized access.
Ensuring data security is critical for maintaining confidentiality and integrity.
Are you compliant with relevant data privacy regulations, such as GDPR and CCPA?
Compliance is essential for protecting personal data and avoiding legal liabilities.
What data residency options are available?
Data residency is important for meeting regulatory requirements.
Do you have SOC 2 Type II certification?
SOC 2 certification demonstrates a commitment to security and reliability.
Vendor Support & Expertise
Describe your threat research team and their expertise in relevant threat landscapes.
Vendor expertise is essential for providing accurate and actionable threat intelligence.
What type of support and training do you offer to your customers?
Adequate support and training are essential for successful platform adoption.
Can you provide customer references in our industry?
Relevant references demonstrate experience with similar requirements and use cases.
What is your process for handling and resolving customer issues?
A well-defined issue resolution process ensures timely and effective support.
Compliance and security requirements
Depending on your industry, you may need to require proof of these certifications and standards.
GDPR
Required if processing personal data of eu residents. If applicable, request confirmation of GDPR compliance and data processing agreements
CCPA
Required if processing personal data of california residents. If applicable, request confirmation of CCPA compliance and data processing agreements
SOC 2 Type II
Required generally recommended for all saas providers. If applicable, request a copy of the latest SOC 2 Type II report
NIST Cybersecurity Framework
Required for organizations aligned with nist standards. If applicable, request documentation on how the platform aligns with the NIST Cybersecurity Framework
Evaluation criteria
Here is the suggested weighting for threat intelligence RFPs.
Data Source Quality and RelevanceAccuracy, timeliness, and relevance of threat intelligence data
25%
Platform Functionality and UsabilityEase of use, reporting capabilities, and overall platform functionality
20%
Integration CapabilitiesSeamless integration with existing security tools and workflows
15%
AI and Automation CapabilitiesEffectiveness of AI-driven threat analysis and automation features
15%
Vendor Expertise and SupportVendor's threat research expertise and support capabilities
10%
Security and ComplianceSecurity measures implemented to protect threat intelligence data
10%
Total Cost of OwnershipImplementation, licensing, and ongoing costs
5%
Some weights were adjusted based on your priorities.
Increase if complex integration landscape exists
Red flags to watch
"Black Box" Data Sources
Lack of transparency regarding data sources makes it difficult to assess the quality and reliability of threat intelligence.
Static Threat Scoring
Threat scores that don't decay over time indicate a lack of lifecycle management and increase the risk of false positives.
Limited Integration Options
Poor integration capabilities can hinder automation and reduce the effectiveness of threat intelligence.
Vague Pricing Models
Unclear pricing indicates potential hidden costs and makes it difficult to accurately assess TCO.
Over-Reliance on OSINT Feeds
Vendors who primarily resell free OSINT feeds offer little added value.
Key metrics to request
Ask vendors to provide benchmarks from similar customers.
Threat detection rate
Indicates the platform's ability to identify malicious activity.
False positive rate
Measures the accuracy of threat intelligence data and reduces wasted analyst time.
Mean time to detect (MTTD)
Indicates how quickly the platform can identify threats.
Integration time with existing security tools
Helps estimate the time and resources required for platform deployment.
Customer satisfaction score
Provides insight into the vendor's customer service and support quality.