Cyware has announced the launch of its advanced Cyware Quarterback AI solution, introducing an AI Fabric that aims to enhance cybersecurity workflows through innovative applications of artificial intelligence.
This development follows the initial release of the Co-pilot chat assistant in March 2024, reflecting significant advancements in AI strategy and technology for Cyware.
Enhancing cybersecurity with AI
In July, Cyware introduced its MCP Server, marking a key milestone in its AI journey
In July, Cyware introduced its MCP Server, marking a key milestone in its AI journey. The latest upgrade to Cyware Quarterback AI brings a comprehensive AI Fabric designed to streamline threat intelligence and security operations.
By incorporating Generative, Agentic, and In-Product AI capabilities, the system supports the efficient execution of threat intelligence, accelerates its operationalization, simplifies automation, and boosts the productivity and efficiency of security analysts.
The AI Fabric Approach
According to Sachin Jade, Cyware's Chief Product Officer, the focus of the company's direction is on ensuring customer success.
“Paramount to Cyware’s direction is our customers’ success, and we are excited to be able to ease the practitioner’s day-to-day operations and accelerate their workflows with an AI Fabric approach,” remarked Sachin Jade.
The Cyware Quarterback AI assists in overcoming challenges like complex playbook creation, manual threat data collection, disconnected threat context, and delayed threat detection and response through advanced AI methods.
AI in Practice
Cyware works alongside large-scale threat intelligence and security operations teams
As the cybersecurity landscape is rapidly transformed by AI, there is both enthusiasm and caution surrounding its adoption.
Cyware works alongside large-scale threat intelligence and security operations teams, leveraging AI to deliver tangible benefits. Utilizing the AI Fabric, Cyware integrates AI into workflows that drive practical outcomes.
Akshat Jain, Co-Founder and CTO of Cyware, stated, “The advancements in AI this year have made it clear that agentic AI and its real-world application are the future of cybersecurity. We will continue to invest in that direction so our customers can respond faster, act smarter, and stay ahead of emerging threats.”
Key Features of Cyware Quarterback AI
The AI Fabric approach enriches Cyware's threat intelligence management by embedding AI into every phase of security products and workflows.
Unlike external AI add-ons, this integrated setup ensures intelligence enhancement throughout the threat intelligence lifecycle, from data ingestion to actionable insights.
Key features include:
- Playbook Builder Agent: Simplifies the creation of playbooks using an intuitive, LLM-assisted interface that translates natural language descriptions into workflows.
- Custom Code Generator: Automatically generates custom code for playbooks based on natural language input, removing the need for intricate coding skills.
- Playbook Runlog Debugger: Assists in troubleshooting failed playbook run logs through root cause identification and step-by-step remediation guidance.
- Threat Summarization: Provides concise summaries of threat intelligence reports and objects, aiding analysts in managing lengthy descriptions and mitigating alert fatigue.
- Advanced Threat Intel Crawler (Browser Plugin): Converts threat intelligence data from websites into structured formats in real time, optimizing analysts' time by eliminating manual data extraction.
These enhancements expand Cyware Quarterback AI's capabilities, promoting AI-driven security operations where automation and intelligence collaboratively empower security teams across all phases of threat management.
Cyware, the pioneer in AI-powered threat intelligence management, secure threat sharing and collaboration, as well as hyper-orchestration and security automation, announced the launch of a new Cyware Quarterback AI solution delivering an AI Fabric to uniquely address security use cases.
Cyware Quarterback AI was initially launched as a Co-pilot chat assistant in March 2024. Since that first release the AI market has evolved significantly and Cyware’s AI strategy and innovation has evolved as well.
Various AI methods
In July of this year, Cyware MCP Server was released. Now, Cyware Quarterback AI receives a major upgrade, described as an AI Fabric that weaves together a set of Generative, Agentic and In-Product AI capabilities designed to accelerate threat intelligence and security operations workflows.
Built to augment security workflows, these capabilities apply various AI methods to drive unified threat intelligence, accelerating threat intel operationalization, simplifying security automation, and enhancing analyst productivity and efficiency.
AI Fabric approach
“Paramount to Cyware’s direction is our customers’ success, and we are excited to be able to ease the practitioner’s day-to-day operations and accelerate their workflows with an AI Fabric approach,” said Sachin Jade, CPO of Cyware.
He adds, “Our latest innovations in Cyware Quarterback AI tackle complex playbook creation, manual threat data collection, disconnected threat context, and delayed threat detection and response with the best AI methods available.”
Largest threat intelligence and security operations teams
As AI continues to reshape cybersecurity, its adoption brings both excitement and hesitation. In working with some of the largest threat intelligence and security operations teams, Cyware has identified where AI delivers tangible value and through its AI Fabric has embedded AI in workflows driving practical outcomes.
“The advancements in AI this year have made it clear that agentic AI and its real-world application are the future of cybersecurity. We will continue to invest in that direction so our customers can respond faster, act smarter, and stay ahead of emerging threats,” said Akshat Jain, Co-Founder and CTO of Cyware.
Cyware’s AI Fabric capabilities
The AI Fabric approach evolves Cyware’s unified threat intelligence management by embedding AI into security products and workflows.
Unlike many AI add-ons that sit outside core operations, this integrated design brings intelligence to every stage of the threat intelligence lifecycle, from ingestion to action, helping analysts move faster and security teams scale more effectively. Key Cyware Quarterback AI features include:
- Playbook Builder Agent: AI agent that simplifies playbook creation for analysts through an intuitive, LLM-assisted interface that generates workflows from natural language descriptions.
- Custom Code Generator: AI agent that automatically generates custom code blocks for playbooks from natural language prompts, eliminating the need for advanced coding expertise.
- Playbook Runlog Debugger: AI agent that assists in debugging failed playbook run logs by identifying root causes and providing step-by-step remediation guidance, simplifying and accelerating troubleshooting by analysts.
- Threat Summarization: Generates instant summaries of threat intelligence reports and related objects (e.g., IOCs, malware), helping analysts cut through lengthy descriptions and avoid alert fatigue.
- Advanced Threat Intel Crawler (Browser Plugin): Transforms threat intelligence from websites into structured, enriched data in real time, saving analysts time from manual scraping of threat data.
The collective capabilities expand Cyware Quarterback AI’s footprint driving AI-powered security operations where automation and intelligence work hand-in-hand to support security teams at every stage.
