How Bell Cyber Cut SOC Response Time by 83% With Tavily

Bell Cyber, a Canadian security operations provider handling 80,000 to 100,000 alerts monthly, adopted AI-driven automation to address the manual research bottleneck in incident investigations. Chief Technology and AI Officer Jawed Ahmad said that although the company could detect threats effectively, analysts previously spent about 30 minutes per case consulting vulnerability databases, threat intelligence sources, vendor documentation, and past incidents. Bell Cyber integrated Tavily as a research layer for its existing agent framework because its outputs were compatible with AI agents, included citations for traceability and auditing, and returned information quickly. Following deployment, investigation times fell from roughly 30 minutes to less than five, allowing analysts to focus more on threat hunting, malware analysis, reverse engineering, and validating automated findings while AI agents gather and cite relevant context.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.