Cyware upgrades Quarterback AI with agentic features for security

Cyware has introduced an updated set of artificial intelligence capabilities for its Quarterback AI platform, aimed at enhancing security operations and threat intelligence workflows. The platform now incorporates generative, agentic, and in-product AI through what Cyware describes as a comprehensive AI fabric.

Platform upgrades

The new AI collection extends Quarterback AI beyond its initial role as a co-pilot assistant. It embeds AI functionalities directly into security tools and workflows rather than running as separate add-ons. This design aims to offer more seamless support for security analysts and teams performing threat detection, response, and analysis tasks. Cyware said the unified approach is intended to accelerate the operationalisation of threat intelligence and improve analyst productivity.

Key features

Among the main features are Playbook Builder Agent, which allows analysts to use natural language to generate security automation workflows, and a Custom Code Generator that creates code blocks in response to simple language prompts. These features reduce the need for specialised coding skills and speed up complex workflow creation. Another addition is the Playbook Runlog Debugger, an AI assistant that reviews failed playbook logs, diagnoses issues, and provides remediation steps to assist analysts in troubleshooting more quickly.

Cyware has also expanded summarisation capabilities. The platform can now automatically generate concise summaries of lengthy threat intelligence reports and related items, such as indicators of compromise and malware details. This is aimed at helping analysts avoid alert fatigue and process key information more efficiently. The Advanced Threat Intel Crawler, delivered as a browser plugin, extracts threat intelligence from web sources and structures the data in real time, reducing manual collection work for security teams.

Security workflow integration

The integration of AI into core workflows is positioned as a step to enable automation and decision support at every stage of the threat intelligence lifecycle, from data ingestion to response. Cyware believes this approach helps organisations keep pace with evolving cyber threats while also reducing the burden on personnel.

"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, Cyware.

Real-world application

Cyware said it has identified areas where AI methods can deliver measurable outcomes for large security operations teams and incorporated those findings into its latest release. The company plans to continue focusing R&D across generative and agentic AI applications in support of threat intelligence and operational efficiency.

"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, Cyware.