Cyware, a leader in AI-powered threat intelligence management and security automation, has launched Cyware Quarterback AI, an “AI Fabric” designed to enhance security operations workflows. This new offering integrates Generative, Agentic, and In-Product AI capabilities to accelerate threat intelligence operationalization and improve analyst productivity.

The Cyware Quarterback AI solution represents a significant upgrade from its initial release as a Co-pilot chat assistant in March 2024. Following the launch of Cyware MCP Server in July, this latest iteration aims to tackle challenges such as complex playbook creation, manual threat data collection, disconnected threat context, and delayed threat detection and response.

Sachin Jade, CPO of Cyware, stated that the company’s direction is paramount to customer success, emphasizing the goal to ease daily operations and accelerate workflows for practitioners through the AI Fabric approach. Akshat Jain, co-founder and CTO, highlighted the company’s ongoing investment in agentic AI, which he believes is the future of cybersecurity, enabling faster response and smarter actions against emerging threats.

The AI Fabric approach embeds AI directly into Cyware’s security products and workflows, integrating intelligence throughout the threat intelligence lifecycle from ingestion to action. This contrasts with AI add-ons that operate outside core security operations, allowing analysts to move more quickly and security teams to scale effectively.

Key features of Cyware Quarterback AI include the Playbook Builder Agent, an AI agent that simplifies playbook creation using an LLM-assisted interface to generate workflows from natural language. The Custom Code Generator is another AI agent that automatically creates custom code blocks for playbooks from natural language prompts, reducing the need for advanced coding skills. Additionally, the Playbook Runlog Debugger, an AI agent, assists in troubleshooting failed playbook run logs by identifying root causes and providing step-by-step remediation.

Further capabilities include Threat Summarization, which generates instant summaries of threat intelligence reports and related objects like Indicators of Compromise (IOCs) and malware, helping analysts manage information overload. The Advanced Threat Intel Crawler, a browser plugin, transforms threat intelligence from websites into structured, enriched data in real time, reducing manual data scraping efforts. These collective capabilities aim to drive AI-powered security operations where automation and intelligence collaborate to support security teams.