The cyber security industry plays a vital role in protecting digital assets and maintaining data integrity globally. With the rise of sophisticated cyber threats, there is an urgent demand for innovative AI cybersecurity solutions.
cyber security
At SapidBlue, we leverage our expertise in product engineering with an AI and blockchain-first approach to empower leading cybersecurity companies. We specialize in developing advanced solutions such as AI-powered cybersecurity products, including Attack Surface Management, governance-risk compliance (GRC) systems, and external attack surface management. Our services have not only helped cyber security companies to have extended Product & Technology Teams to develop new and extended products but also helped them address Product engineering challenges, especially in the legacy technology landscape.
OUR TEAM BRINGS TO YOU
Building & Managing Scalable Data Driven Systems
Innovation
Solution Engineering
Global Experience of Diversified Industries
40+
Countries
Comprehensive and Deep Expertise
20+
Years
Our Experiences
Delivering Innovation with AI & Blockchain First Approach
Attack Surface Management (CASM)
Effectively managing your attack surface is crucial for protecting your business's digital environment from cyber threats. Many AI cybersecurity companies specialize in the IDENTIFY, DETECT, & PROTECT processes outlined in the NIST Framework, enhancing Cyber Asset Attack Surface Management (CASM) and External Attack Surface Management (EASM). At SapidBlue, we leverage our expertise in AI-powered cybersecurity solutions to develop advanced attack surface management tools, including Asset Discovery, Inventory & Configuration Management, and Data Management. We partner with top security product companies to create tailored AI cyber solutions that strengthen their defenses with:
- Discovery and Inventory Management for Cyber Assets and Networking Devices:Comprehensive tools to identify and catalog all network assets, ensuring complete visibility.
- Configuration Management:Solutions to manage and monitor system configurations, reducing the risk of misconfigurations that could lead to vulnerabilities.
- Data Unification:Unification and Cleaning of Data collected from different sources, methods, and timestamps to better understand asset and configuration changes.
- Attack Surface Management:Tools to assess and minimize the attack surface, protecting against potential entry points for cyber threats.
Enterprise Connectors
Gaining visibility and ease of analysis across numerous enterprise and SaaS applications is crucial for businesses. Cybersecurity product companies often create tools that integrate with these applications, but the rapidly evolving landscape challenges keeping hundreds of connectors updated. At SapidBlue, we possess strong expertise in building AI cybersecurity solutions and integrating AI with cybersecurity to enhance visibility and streamline the management of enterprise applications, ensuring your business stays secure and agile in this dynamic environment.
- Objectives of Data Identification, Unification, and Collection include Foundational Principles, Configuration Benchmarking, Security & Process Certification Audits, and Enterprise Management.
- Enterprise Connectors for application categories like
- SIEM, Threat Intelligence & Incident Response,
- Code Repo & DevOps,
- Cloud SaaS / PaaS Applications,
- Cloud Storage, Security & Monitoring,
- Project Management & Collaboration, Support & Ticketing System,
- Endpoint Protection & Firewall,
- Identity & Access Management, Authentication,
- Data Protection & DLP,
- HRMS, CRM & ERP,
- Application and Database Servers,
- Application Security (SAST, DAST, SCA)
Vulnerability & Patch Management
In today's rapidly changing cybersecurity landscape, proactively identifying vulnerabilities is vital for protecting business assets and networks. The SapidBlue team offers extensive experience to cybersecurity product companies, enabling them to effectively collect and unify vulnerability data from multiple sources. We enhance cybersecurity products by seamlessly integrating this data with asset and network inventories and conducting advanced analyses that compare CVE data with existing configurations to pinpoint potential vulnerabilities.
- Vulnerability Database (CVE):Collecting and Compiling vulnerability database from multiple sources and unifying the data for a better match with Asset & Network Inventory and respective configurations.
- Vulnerability Identification:Comparing and Analyzing CVE Data with Asset Inventory and confugrations, to identify possible vulnerabilities in the system and network.
- Patch Management:Identifying possible needs of patches and respective sources. Prioritize and remediate vulnerabilities, ensuring timely patching and protection.
Our Experiences
Attack Surface Management (CASM)
Attack Surface Management (CASM)
Effectively managing your attack surface is crucial for protecting your business's digital environment from cyber threats. Many AI cybersecurity companies specialize in the IDENTIFY, DETECT, & PROTECT processes outlined in the NIST Framework, enhancing Cyber Asset Attack Surface Management (CASM) and External Attack Surface Management (EASM). At SapidBlue, we leverage our expertise in AI-powered cybersecurity solutions to develop advanced attack surface management tools, including Asset Discovery, Inventory & Configuration Management, and Data Management. We partner with top security product companies to create tailored AI cyber solutions that strengthen their defenses with:
- Discovery and Inventory Management for Cyber Assets and Networking Devices:Comprehensive tools to identify and catalog all network assets, ensuring complete visibility.
- Configuration Management:Solutions to manage and monitor system configurations, reducing the risk of misconfigurations that could lead to vulnerabilities.
- Data Unification:Unification and Cleaning of Data collected from different sources, methods, and timestamps to better understand asset and configuration changes.
- Attack Surface Management:Tools to assess and minimize the attack surface, protecting against potential entry points for cyber threats.
Enterprise Connectors
Enterprise Connectors
Gaining visibility and ease of analysis across numerous enterprise and SaaS applications is crucial for businesses. Cybersecurity product companies often create tools that integrate with these applications, but the rapidly evolving landscape challenges keeping hundreds of connectors updated. At SapidBlue, we possess strong expertise in building AI cybersecurity solutions and integrating AI with cybersecurity to enhance visibility and streamline the management of enterprise applications, ensuring your business stays secure and agile in this dynamic environment.
- Objectives of Data Identification, Unification, and Collection include Foundational Principles, Configuration Benchmarking, Security & Process Certification Audits, and Enterprise Management.
- Enterprise Connectors for application categories like
- SIEM, Threat Intelligence & Incident Response,
- Code Repo & DevOps,
- Cloud SaaS / PaaS Applications,
- Cloud Storage, Security & Monitoring,
- Project Management & Collaboration, Support & Ticketing System,
- Endpoint Protection & Firewall,
- Identity & Access Management, Authentication,
- Data Protection & DLP,
- HRMS, CRM & ERP,
- Application and Database Servers,
- Application Security (SAST, DAST, SCA)
Vulnerability & Patch Management
Vulnerability & Patch Management
Proactively identifying vulnerabilities is crucial to safeguarding business assets and networks in the ever-evolving cybersecurity landscape. The SapidBlue team brings extensive expertise to cybersecurity product companies, helping them efficiently collect and unify vulnerability data from diverse sources. We empower these products by integrating the data with asset and network inventories and performing advanced analyses, comparing CVE data with existing configurations to identify potential risks.
- Vulnerability Database (CVE):Collecting and Compiling vulnerability database from multiple sources and unifying the data for a better match with Asset & Network Inventory and respective configurations.
- Vulnerability Identification:Comparing and Analyzing CVE Data with Asset Inventory and confugrations, to identify possible vulnerabilities in the system and network.
- Patch Management:Identifying possible needs of patches and respective sources. Prioritize and remediate vulnerabilities, ensuring timely patching and protection.
Disrupting the Cyber Security Industry with AI & Blockchain
AI-Based GRC - Compliance Management
AI-Driven Solution forData Unification
AI-Based GRC - Compliance Management
The dynamic landscape of Governance, Risk, and Compliance (GRC) Management poses challenges like evolving regulations and complex system configurations. Leveraging generative AI, organizations can bridge design gaps between regulatory documents and internal policies, reducing implementation issues. Furthermore, ongoing training for stakeholders is crucial, especially in cybersecurity compliance. Implementing AI-driven internal interviews and certifications helps identify knowledge gaps among team members, thereby enhancing overall compliance and awareness of cybersecurity policies and threats.
Rules, Regulations & Standards
Legal & Regulatory or Best Practices
DESIGN GAP
Gen AI / NLP based
Policy Audit
Policy Audit
Organization
Policy
Policy
Contextual
Organisation
Organisation
IMPLEMENTATION GAP
Discovery & System
Scans
Scans
Organizational
Implementation
Implementation
System Configurations & Processes Implemented
Knowledge Gap
Gen AI based
Interviewing & Audit
Interviewing & Audit
STAKEHOLDERS
TRAINING
TRAINING
Periodic Training &
Certifications of People
Certifications of People
Rules, Regulations & Standards
Legal & Regulatory or Best Practices
DESIGN GAP
Gen AI / NLP based
Policy Audit
Policy Audit
Organization
Policy
Policy
Contextual Organisation
IMPLEMENTATION GAP
Discovery & System
Scans
Scans
Organizational
Implementation
Implementation
System Configurations & Processes Implemented
STAKEHOLDERS TRAINING
Periodic Training &
Certifications of People
Certifications of People
Knowledge
Gap
Gap
Gen AI based Interviewing & Audit
AI-Driven Solution for Data Unification
Navigating the complexities of asset discovery and inventory management, particularly in large-scale implementations, can be challenging. Our AI First Approach empowers cybersecurity product companies to tackle these issues by utilizing AI-based data unification tools supported by rule-based engines. These advanced tools effectively reconcile discrepancies in data from diverse sources and timestamps, ensuring a precise and thorough asset inventory and vulnerability management.
Asset Inventory Data
Source #1
Source #2
Source #n
(Source of Information, Mode of
Fetching the Information, and
Timestamp of Information)
Fetching the Information, and
Timestamp of Information)
AI-Based
Asset Inventory &
System Configuration
Data Unification&Matching With CVE /
Patch Data for
Vulnerability
Management
System Configuration
Data Unification&Matching With CVE /
Patch Data for
Vulnerability
Management
CVE & Patch Data
CVE Sources(like NVD, Mitre)
Patch Sources(like Microsoft, Cisco)
(Source & Version of Information,
Vendor / Product / Version
Discrepancies)
Vendor / Product / Version
Discrepancies)
Disrupting the Cyber Security Industry with AI & Blockchain
AI-Based GRC - Compliance Management
The dynamic landscape of Governance, Risk, and Compliance (GRC) Management poses challenges like evolving regulations and complex system configurations. Leveraging generative AI, organizations can bridge design gaps between regulatory documents and internal policies, reducing implementation issues. Furthermore, ongoing training for stakeholders is crucial, especially in cybersecurity compliance. Implementing AI-driven internal interviews and certifications helps identify knowledge gaps among team members, thereby enhancing overall compliance and awareness of cybersecurity policies and threats.
Rules, Regulations & Standards
Legal & Regulatory or Best Practices
DESIGN GAP
Gen AI / NLP based
Policy Audit
Policy Audit
Organization
Policy
Policy
Contextual
Organisation
Organisation
IMPLEMENTATION GAP
Discovery & System
Scans
Scans
Organizational
Implementation
Implementation
System Configurations & Processes Implemented
Knowledge Gap
Gen AI based
Interviewing & Audit
Interviewing & Audit
STAKEHOLDERS
TRAINING
TRAINING
Periodic Training &
Certifications of People
Certifications of People
Rules, Regulations & Standards
Legal & Regulatory or Best Practices
DESIGN GAP
Gen AI / NLP based
Policy Audit
Policy Audit
Organization
Policy
Policy
Contextual Organisation
IMPLEMENTATION GAP
Discovery & System
Scans
Scans
Organizational
Implementation
Implementation
System Configurations & Processes Implemented
STAKEHOLDERS TRAINING
Periodic Training &
Certifications of People
Certifications of People
Knowledge
Gap
Gap
Gen AI based Interviewing & Audit
AI-Driven Solution for Data Unification
Navigating the complexities of asset discovery and inventory management, particularly in large-scale implementations, can be challenging. Our AI First Approach empowers cybersecurity product companies to tackle these issues by utilizing AI-based data unification tools supported by rule-based engines. These advanced tools effectively reconcile discrepancies in data from diverse sources and timestamps, ensuring a precise and thorough asset inventory and vulnerability management.
Asset Inventory Data
Source #1
Source #2
Source #n
(Source of Information, Mode of
Fetching the Information, and
Timestamp of Information)
Fetching the Information, and
Timestamp of Information)
AI-Based
Asset Inventory &
System Configuration
Data Unification&Matching With CVE /
Patch Data for
Vulnerability
Management
System Configuration
Data Unification&Matching With CVE /
Patch Data for
Vulnerability
Management
CVE & Patch Data
CVE Sources(like NVD, Mitre)
Patch Sources(like Microsoft, Cisco)
(Source & Version of Information,
Vendor / Product / Version
Discrepancies)
Vendor / Product / Version
Discrepancies)
A Next-Generation Cyber Security Platform for Critical Infrastructures built for Protection of ICS/OT & Operational Resiliency
WHY US
Differentiating through Entrepreneurial Spirit in Action
Uniquely Distinguished
Product Innovation &Solution Engineering
- NOT Just a Dev Shop
- NOT Order - Takers
- Bring Art of Questioning
Our Design Principle
AI & BlockchainFirst Approach
- CHANGING the lens
- TRUE Use Cases of New Tech
- Future Proofing
Continuously Investing in
CustomizableDigital Accelerators
- Mature Digital Platform
- Shorten Time to Market
- Quality at Speed
Frequently Asked Questions
What are AI-based cybersecurity solutions?
AI-based cybersecurity solutions leverage artificial intelligence to enhance threat detection, automate responses, and improve overall security management.
How does blockchain technology enhance cybersecurity?
Blockchain technology provides a decentralized framework that improves data integrity and security, making unauthorized access and tampering harder.
What is the role of AI in cybersecurity?
The use of AI in cybersecurity includes real-time threat analysis, anomaly detection, and automated incident response, allowing organizations to stay ahead of cyber threats.
What types of AI cybersecurity services does your company offer?
As an AI cybersecurity company, we offer a range of services including AI-powered cybersecurity tools, data protection solutions, and integration of AI with existing security infrastructures.
Insights
Sharing our experiences & learning from yours
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We specialize in digital product and data engineering, leveraging an AI and Blockchain First Approach to create exceptional products. By integrating strategic design, advanced engineering, and industry expertise, we empower our clients to explore new opportunities and accelerate their growth journeys. We invite you to connect with us—feel free to reach out or schedule an exploratory call to discuss how we can collaborate.