Bolster AI Launches Signals for Real-Time Brand and Cyber Risk Intelligence
Bolster AI has introduced Signals, a new platform that provides Chief Information Security Officers with real-time intelligence on brand and cyber risks, announced in a press release. The system aims to turn complex threat data into actionable insights by combining external fraud telemetry with cyber risk information.
Signals allows organizations to analyze data from web, social media, email, and app ecosystems to identify the origins and frequency of AI-generated phishing, deepfake domains, and impersonation attacks. The platform also supports natural-language queries, enabling security teams to ask questions about attack sources or compare their exposure to industry benchmarks.
By integrating these capabilities, Signals helps teams visualize their external attack surface and measure response times against anonymized industry data. Built on Bolster’s existing AI detection platform, which features automated takedowns with high accuracy, Signals adds intelligence and benchmarking to move from reactive response to proactive risk management. The platform is now available to all Bolster AI customers.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 16 SpartanX names Erik Hardy CEO and launches vendor risk testing Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity Compliance Oct 15 Cyfendo Offers AI Code Scanning and Patch Review for Small BusinessesCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
CloudZero Launches AI Signals for AI Cost Monitoring
Incognia Launches AI Agent Detection for Financial Institutions
Gurucul Launches AI Risk and Response Security Tool
Leidos Launches AI Platform for Security Operations
Align Behavioral Intelligence Launches AI Workplace Behavior Platform
Daily AI Brief: the AI news that matters, in your inbox.