Signal Corporation introduces Smart Search, making powerful intelligence more accessible. Signal Corporation today announced the launch of Smart Search, a new AI-powered query builder designed to make intelligence gathering faster, easier and more accessible, while retaining the powerful search capabilities that underpin the Signal platform.

Signal AI brings external intelligence into Microsoft 365 Copilot, helping enterprise AI make better decisions. London, UK, 3 August 2026 - Signal AI today announced its integration with Microsoft 365 Copilot, bringing trusted external intelligence directly into the AI assistant millions of enterprise users rely on every day. The result is AI that doesn't simply understand your organisation. It understands the world your organisation operates in. Microsoft 365 Copilot is fast becoming a core part of the enterprise technology stack. According to Microsoft, more than 30 million paid Copilot seats are in use, and 90% of the Fortune 500 have adopted the technology. AI assistants excel at understanding an organisation's internal context, from documents and emails to meetings and business data. But strategic decisions are shaped just as much by what happens outside the organisation. These external signals often determine the success or failure of business decisions, yet they remain disconnected from the AI tools employees use every day. The Signal AI integration with Microsoft 365 Copilot closes that gap. "We want to meet customers where they work," said David Benigson, CEO and Founder of Signal AI. "Risk and reputation don't wait for someone to log into another platform. They emerge in real time and demand fast, informed decisions. AI models are incredibly capable, but they don't originate perception. They compress it. The upstream sources that shape business decisions remain journalists, regulators, analysts and governments. By embedding Signal AI into Microsoft 365 Copilot, we're connecting enterprise AI directly to those signals, in the workflows where organisations assess risk, protect their reputation and make their most important decisions." Using natural language, users can surface intelligence from Signal AI's premium global information network, including licensed news, regulatory updates and analyst research, alongside their internal business context, all from within Copilot. Unlike traditional search, the integration answers complex business questions with contextual, explainable responses grounded in verified external information. Examples include: * Understanding how evolving regulation could affect business operations * Monitoring competitor announcements, acquisitions and strategic moves * Tracking emerging risks across geopolitical, supply chain and industry developments * Identifying shifts in media narratives and stakeholder sentiment before they become reputation issues * Preparing executive briefings that combine internal priorities with external market developments "Microsoft Copilot has transformed how people work with internal knowledge," said Wiktor Szary, Director of Product at Signal AI. "By bringing Signal AI's external intelligence into that experience, we're helping organisations connect what's happening inside the business with what's happening outside it. Better context leads to better decisions." The integration builds on Signal AI's Model Context Protocol (MCP) connector, launched in June 2026, and extends the company's vision of making decision intelligence available wherever enterprise AI work happens. As AI moves from completing tasks to recommending and executing decisions autonomously, access to high-quality external intelligence becomes essential to every action. Signal AI is building the intelligence layer that enables enterprise AI to understand not only what's happening within an organisation, but also the external forces shaping every strategic decision. The Microsoft 365 Copilot integration marks another step towards making trusted external intelligence available wherever business decisions are made, from analysts and communications teams to risk leaders, executives and AI agents. The Signal AI integration with Microsoft 365 Copilot became available on 29 July 2026. Customers with an existing Signal AI subscription with MCP access can enable the integration directly through the Microsoft 365 Copilot Marketplace. Signal AI is continuing to expand its AI connectivity roadmap, with the goal of making trusted reputation and risk intelligence accessible through the AI tools customers choose to work in. Organisations interested in upcoming integrations, connecting Signal AI with an LLM of their choice, or joining the early-access waitlist can get in touch with the Signal AI team. About Signal AI. Signal AI is a global leader in AI-driven reputation and risk insights. The company serves 800+ global customers across Fortune 500 companies, ingesting and transforming the world's data across 226 markets and 120+ languages to navigate industry trends, manage reputational shifts, and mitigate risks. Press contact. Astha Paudel Sharma [email protected]

Signal AI launches Risk Scanner to turn static risk registers into real-time early warning systems. LONDON / NEW YORK - June 18, 2026 - Signal AI, a global leader in AI-driven decision intelligence, today announced the launch of Risk Scanner, a pioneering capability designed to shift enterprise risk management from reactive tracking to proactive crisis preemption through real-time early warnings. Unlike generalized risk register management tools, Risk Scanner enables organizations to upload their unique registry of key risks and use Signal AI's vast global data engine to automatically detect the earliest "weak signals" of, for example, regulatory, supply chain, and reputational disruption. This new approach to risk register monitoring gives leadership teams the critical runway they need to act. As the external threat landscape becomes more volatile, risk and compliance teams struggle to continuously monitor how shifting global events impact their specific corporate risk profiles. Risk Scanner bridges this gap by directly connecting an organization's internal risk register to real-world global data, transforming theoretical risk management into a proactive, data-validated system. "The most important thing for risk teams today to understand is not just what's happening currently, but to proactively see what lies ahead," says David Benigson, CEO and co-founder of Signal AI. "Signal AI's ability to detect anomalies in the data, in real-time, is a genuine advantage for risk teams to spot not just known enterprise risks, but the unknowns. This new tool means tracking emerging risks in a matter of minutes, not months." Risk Scanner eliminates reactive monitoring by automating how companies detect the earliest signs of emerging threats across their specific risk profiles: * Upload Known Risks or Let its AI Decide: Organizations can upload their specific list of key known risks directly into the platform in its existing format, or Signal's AI platform can determine and suggest high-priority risks based on an organization's profile. * AI-Powered Data Scanning: Risk Scanner processes these risks against Signal AI's extensive architecture of unstructured global data, spanning billions of data points across 226 regions and translated from 120+ languages, for automated tracking. * Dynamic Assessment: The platform instantly maps the findings into an automated risk assessment matrix, spanning across languages and regions, categorizing data and scoring risks to show exactly which threats are escalating and what needs to be prioritized. "Signal AI's AI-powered capability to transform millions of data points in real-time can now speak the language of risk owners using their existing, proprietary risk registers," says Tara Lynch, Product Director for Risk at Signal AI. "This is the kind of automation that will identify signals early, support with time saving, and make companies more resilient." Availability. The Risk Scanner capability is currently available for Signal AI partners and clients. Organizations looking to move from static risk register monitoring to an AI-powered, data-driven risk posture can request a demo at signal-ai.com/contact-Signal Media Ltd. Media Contact Margo Connolly