AI tool turns cyber intel into SIEM-ready queries, cutting analyst effort up to 75%

PwC's new solution automates the translation of unstructured threat intelligence, generating validated, ready-to-use outputs in minutes.

Translating unstructured cybersecurity threat intelligence into accurate, executable detection logic is manual, time-intensive, and difficult to scale. PwC’s AI-powered threat hunter agent addresses this gap by using automation to help convert threat intelligence publications into Security Information and Event Management (SIEM)-ready detection logic and intelligence reports—enabling faster, more consistent delivery of actionable cyber defense insights.

The solution is built on a multi-agent AI architecture that orchestrates specialized agents for document ingestion, threat extraction, detection logic generation, and validation. This approach transforms unstructured threat intelligence into structured, execution-ready outputs while maintaining accuracy and consistency across the workflow. By combining document intelligence, large language models, and schema-aware query generation, the solution aligns detection logic with client environments and helps confirm generated queries reference only valid fields.

An integrated validation layer enables generated outputs meet execution and quality standards before reaching analysts. The platform is further strengthened by a scalable quality framework using LLM-as-the-judge, enabling automated evaluation against curated ground-truth datasets. This approach improves reliability over time, supports auditability, and helps confirm PwC quality standards are maintained as the solution scales across clients.

By automating one of the most time-intensive steps in cybersecurity operations, PwC's capability delivers productivity gains. Instead of manually reviewing 20–40 page threat reports and writing detection logic from scratch, analysts can generate validated, ready-to-use outputs in minutes. When integrated with a client’s SIEM or EDR environment, the solution can automatically execute those queries and return a structured execution report—shifting analyst effort toward validation, prioritization, and response. This can help reduce analyst effort per report by an estimated 50–75%, accelerate threat coverage, and help improve consistency across engagements.

What this delivers for security teams

Faster threat coverage
Automated translation of threat intelligence supports quicker response to emerging risks.

Reduced analyst effort
AI-driven generation and validation can reduce manual effort per report by an estimated 50–75%.

Improved detection consistency
Standardized logic and validation help reduce variability and missed detections.

Scalable delivery model
Reusable workflows support efficient deployment across clients and engagements.

By combining automation, validation, and deep cyber domain expertise, PwC’s AI-driven threat hunter agent helps organizations strengthen detection capabilities while improving efficiency, scalability, and confidence in cyber defense operations.