Introducing Agentic AI Workflows in Cyware Quarterback AI: Building an AI Fabric for Smarter Security Operations

Every day, security teams are flooded with alerts, indicators, and intelligence reports. Analysts spend countless hours manually sifting, parsing, and correlating data, yet threats keep moving faster than they can respond. The gap between awareness and action widens because the manual grind cannot keep up with the velocity and complexity of modern attacks.

The future of cybersecurity demands more than smart tools. It calls for autonomous collaboration between intelligence, automation, and action. Without doubt, it is time for AI to stop being a sidekick and start becoming part of the fabric of how security operations think, decide, and respond.

That is exactly what we are building with Cyware Quarterback AI. Today, I am excited to introduce its next evolution, the AI Fabric, a connected layer of generative, agentic, and in-product AI capabilities that seamlessly power every stage of the threat intelligence lifecycle, transforming how security teams detect, investigate, and respond to threats by embedding intelligence where it matters most: directly within operational workflows.

The AI Fabric: A Winning Approach to SecOps

Our AI Fabric is a strategic shift in how AI empowers security operations, with AI capabilities deeply embedded across our platform. This unified framework brings together multiple AI paradigms, including generative intelligence and agentic workflows, directly within the core of Cyware’s threat intelligence management and actioning ecosystem to deliver faster, smarter, and more unified security outcomes.

Through close collaboration with some of the largest threat intelligence and SOC teams globally, we identified where AI delivers real value and embedded it directly into the workflows that drive daily operations. The result is intelligence that delivers faster insights, appears contextually where decisions are made, and enables action on threats for better resilience.

Inside the AI Fabric: The Core Capabilities Powering Smarter Security Operations

Cyware’s AI Fabric unites Generative, In-Product, and Agentic AI to accelerate and simplify every aspect of threat intelligence and security operations. Together, these capabilities turn static data into dynamic, actionable insights while automating repetitive work and empowering analysts to focus on higher-order decision-making.

The key capabilities include:

• Threat Intelligence Parser: Enables faster threat analysis by automatically extracting IOCs, TTPs, threat actors, malware, vulnerabilities, and recommended actions from text, documents, or websites, eliminating manual data entry, reducing human error, and improving analyst productivity.

• Threat Intel Summarization: Provides instant summaries of threat intelligence reports and related objects such as IOCs, malware, and threat actors. Helps analysts digest complex data quickly, reduces alert fatigue, and accelerates decision-making and response times.

• Advanced Threat Intel Crawler (Browser Plugin): Instantly converts threat intelligence from websites into structured, enriched data. Eliminates manual scraping, reduces human error, and speeds up data ingestion for fast, reliable threat data capture. 

• Action Node for Threat Actioning: A new playbook node that leverages large language models for intelligent alert analysis, data normalization, and threat summarization. Automates complex repetitive tasks, reduces manual effort, and accelerates threat response. 

• Playbook Builder Agent: Simplifies playbook creation with an intuitive interface that converts natural language descriptions into ready-to-execute workflows. Uses Cyware’s extensive integration library to accelerate automation development and reduce time-to-deploy new processes.

• Custom Code Generator Agent: Automatically generates Python code blocks for playbooks from natural language prompts, eliminating the need for advanced scripting expertise. Reduces development time, enables broader team participation in automation building, and enhances workflow customization.

• Playbook Runlog Debugger Agent: Assists in debugging failed playbook runlogs by identifying root causes and offering step-by-step remediation guidance directly in the interface. Streamlines troubleshooting, reduces downtime, and increases operational resilience.

• Cyware Security Advisories: Transforms open-source threat alerts, bulletins, research data, and intelligence feeds into continuous streams of high-fidelity threat advisories. Automates threat intelligence curation, ensuring faster awareness and improved collaboration across teams and partner networks.

• Connect the Dots Context Recommendations: Delivers AI-generated contextual insights through visual widgets that surface entity relationships such as IPs, domains, hashes, and threat actors. Automates context gathering, speeds up investigations, and helps analysts uncover hidden links and root causes of complex attacks.

• Cyware MCP Server: Serves as the backbone of Cyware’s AI Fabric, enabling seamless communication between multiple AI agents, Cyware products, and external systems. The MCP Server facilitates secure and standardized data exchange, reasoning, and task orchestration across environments. It empowers cross-product collaboration where AI components share intelligence, context, and outcomes in real time, supporting scalable, autonomous workflows. This ensures every AI-driven decision remains traceable, coherent, and aligned with organizational goals.

Why an AI Fabric Approach Matters

Cyware’s AI Fabric represents an architectural shift in how AI is applied to security operations. It moves beyond isolated features and disconnected tools to form a unified layer of intelligence that spans the entire threat intelligence and security operations continuum, from ingestion and correlation to orchestration, collaboration, and large-scale response.

Each AI capability operates independently yet contributes to a collective system where data, context, and automation flow seamlessly across products and use cases. This design enables scale, resilience, and continuous learning across complex environments.

The AI Fabric adapts dynamically to organizational maturity, data diversity, and operational demand, ensuring that intelligence becomes richer and more precise with every interaction.

This approach delivers three strategic advantages:

Speed: AI operates across every layer of the workflow, reducing manual effort and eliminating friction between analysis and action, accelerating the path from signal detection to validated response.

Context: Intelligence is continuously enriched through bidirectional data sharing across sources and environments, ensuring every decision reflects the most complete and current view of the threat landscape while reducing errors caused by incomplete or siloed information.

Scalability and Accessibility: By embedding advanced AI natively within the Cyware platform, we simplify complex operations and make sophisticated capabilities accessible to all security teams. This offloads repetitive manual work, minimizes human error, and enables large-scale, cross-domain intelligence automation for organizations of any size or maturity level.

Building for Real-World Impact

From the start, our focus has been clear: solve the real challenges security teams face every day. Every capability within our AI Fabric was shaped through close collaboration with customers and grounded in real operational needs.

We have seen how manual data collection slows response times, how analysts drown in overwhelming volumes of intelligence, and how complex playbook creation demands skills many teams lack. These challenges directly affect how fast organizations can detect and respond to threats and how effectively their security operations run.

The AI Fabric tackles these issues head-on, delivering measurable value through faster threat response, reduced alert fatigue, improved SOC efficiency, and simplified automation of complex workflows without advanced coding expertise.

Looking Ahead: The Path to Autonomous Security Operations

The capabilities we are announcing today mark an important milestone but are only one important step of our journey toward truly autonomous security operations. The rise of agentic AI in 2025 has made it clear that multi-agent systems, where specialized AI agents collaborate to achieve complex goals, will redefine the speed, precision, and adaptability of cybersecurity.

Our focus remains on outcomes that matter - AI that integrates into real workflows, reasons through complex scenarios, and reduces the burden on analysts.

These principles will drive our AI Fabric and our roadmap ahead. With broader agentic capabilities planned for 2026, our goal is a security operations model where AI manages operational complexity, and human analysts focus on strategy, oversight, and creative problem-solving.

Try It Yourself

The AI Fabric capabilities we have announced today are available now for Cyware customers. If you are already using our platform, you can start leveraging these features to accelerate your threat intelligence workflows, simplify security automation, and enhance analyst productivity.

For those looking to build robust threat intelligence capabilities, I encourage you to see these innovations in action. The difference between an AI feature added to a platform and an AI Fabric woven throughout it is something best experienced firsthand.

The threat landscape will keep growing in complexity, and adversaries will continue to evolve. With the right AI approach that embeds intelligence into every workflow and empowers defenders with autonomy, security teams can regain the advantage.

Experience the platform today!