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  • AI in Cybersecurity: From Defense to a New Attack Surface

    AI in Cybersecurity: From Defense to a New Attack Surface

    The headlines in September 2025 highlight a paradox. As governments and enterprises adopt advanced AI tools to strengthen cyber-defense, attackers are exploiting the same technology to probe weaknesses and launch more sophisticated campaigns. Recent briefings from the European Union Agency for Cybersecurity (ENISA, 2025) and mid-year threat-intelligence reports from major cloud providers such as…

  • The UN Security Council’s New AI Initiative: From National Agendas to Global Responsibility

    The UN Security Council’s New AI Initiative: From National Agendas to Global Responsibility

    In September 2025, the UN Security Council elevated AI to the level of global peace and security concerns, opening talks on frameworks to counter AI-driven cyberattacks, disinformation, and autonomous weapons. The move signals that AI governance is now part of collective security.

  • The Rising Pressure of AI Regulation and Market Growth

    The Rising Pressure of AI Regulation and Market Growth

    Learn how AI regulation and compliance spending are reshaping governance. Evidence shows urgency in readiness gaps.

  • Mercury Security Productized Services

    Mercury Security – Productized Services Sheet From Audit to Governance in 30 Days | 2025 Who We Are Mercury Security is a governance-first cybersecurity and AI assurance firm. We specialize in AI audits, governance accelerators, and evidence-based compliance artifacts that help organizations demonstrate readiness under the EU AI Act, GDPR, ISO/IEC 42001, and NIST…

  • Mercury Analytics Product Sheet

    Mercury Analytics Product Sheet Mercury Security | 2025 Introduction Mercury Analytics is the data governance and compliance research arm of Mercury Security. It provides organizations with research subscriptions, evidence toolkits, and analytic crosswalks that align AI systems with regulatory frameworks including the EU AI Act, GDPR, ISO/IEC 42001, and NIST AI RMF. While Mercury…

  • From Audit to Governance in Four Weeks-A Practical Starting Point

    From Audit to Governance in Four Weeks: A Practical Starting Point Mercury Security Whitepaper | 2025 Introduction Governance in artificial intelligence (AI) is often seen as overwhelming. Leaders are bombarded with regulations, acronyms, and technical jargon, while real-world AI deployments continue without adequate oversight. Many organizations wait until regulators or investors demand formal evidence,…

  • Executive Liability Brief in AI Deployments

    Executive Liability in AI Deployments: What Boards Need to Know Mercury Security | 2025 Introduction Boards of directors and senior executives increasingly face direct liability for how their organizations deploy artificial intelligence (AI). Regulators are making it clear that governance failures in AI are not just technical lapses but leadership failures. Executives cannot delegate…

  • Blanket Privacy Notice

    Privacy Notice Mercury Security | Effective: September 2025 Introduction Mercury Security respects your privacy. This Privacy Notice explains what personal data we collect, how we use it, and what rights you have under applicable laws including the General Data Protection Regulation (GDPR), the EU Artificial Intelligence Act, and related data protection frameworks. Data We…

  • Blanket Cookie Notice

    Cookie Notice Mercury Security | Effective: September 2025 Introduction Mercury Security uses cookies and similar technologies on our website to ensure functionality, improve user experience, and understand how visitors engage with our content. This notice explains what cookies are, how we use them, and what choices you have. What Are Cookies? Cookies are small…

  • Bias and Safety Testing Method

    Mercury Security Bias & Safety Testing Method(v1.0, 2025) Bias and safety testing ensures AI agents operate within acceptable ethical and compliance boundaries. Mercury applies structured scenarios, measurable acceptance criteria, and reproducible methods to demonstrate readiness for regulators and boards. 1. Purpose Bias & safety testing validates that AI agents: Treat users consistently across demographic,…