Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why AI security looks different across the UK, France, Germany, and Australia

Globally, 88% of companies regularly use AI in at least one business function—a 10% increase from the previous year. But as organizations race to adopt new capabilities, we’ve found that the rigor and maturity of AI governance vary widely by region. ‍ The third edition of our State of Trust report reveals how leading AI adopters outside the U.S.—from the UK to Germany, France, and Australia—are approaching AI security and governance in distinct ways.

The Silent Threat to the Agentic Enterprise: Why BOLA is the #1 Risk for AI Agents

In the race to deploy autonomous AI agents, organizations are inadvertently building on a foundation of shifting sand. While security teams have spent the last year focused on "Prompt Injection" and "Model Poisoning," a much older, more dangerous adversary has quietly become the primary attack vector for the agentic era: Broken Object Level Authorization (BOLA).

Model Context Protocol Server: The Universal Remote for AI Agents

The Model Context Protocol (MCP) is emerging as a foundational interoperability layer for agentic AI, embraced by major platform providers. MCP simplifies how AI models connect to external tools and data. Think of it as a universal remote for security platforms: Instead of building fragile, one-off integrations, MCP allows AI to discover and use capabilities dynamically. For SIEM and detection providers, this shift is significant.

Will AI agents 'get real' in 2026?

In my house, we consume a lot of AI research. We also watch a lot—probably too much—TV. Late in 2025, those worlds collided when the AI giant Anthropic was featured on “60 Minutes.” My husband tried to scroll past it, but I snatched the controller away, unable to resist a headline calling out the first widely acknowledged case of an “agentic AI cyberattack.” The framing itself was irresistible, a milestone moment in the rapid acceleration of AI.

Agentic AI Security: How Microsoft Prevents Autonomous Agent Attacks?

As agentic AI systems move into the mainstream—powered by tool calling, MCP, and autonomous workflows—security is no longer a “nice to have.” It’s mission-critical. In this episode, we sit down with Raji, Principal Engineer & Manager for AI and Safety at Microsoft, to deep-dive into the rapidly evolving world of AI security, autonomous agents, and enterprise governance. Discover how Microsoft identifies and mitigates risks in agentic AI, distinguishes AI Security vs AI Safety, and enables organizations to deploy autonomous systems safely at scale—without slowing innovation.

Secrets in the Machine: Preventing Sensitive Data Leaks Through LLM APIs

In this webinar, we break down a simple but increasingly common problem: secrets leak wherever text flows, and modern LLM apps and agentic workflows are built to move text fast. We walk through concrete demos showing how API keys and passwords can surface through RAG-based assistants when secrets accidentally live in knowledge bases (tickets, docs, internal wikis). We also show why “just harden the system prompt” isn’t a reliable fix, and how output-only redaction can be bypassed (for example by simple formatting/encoding tricks). Most importantly, we explore real-world agent architectures.

AI Customer Service: Revolutionizing Customer Experiences

In today's fast-paced business world, providing exceptional customer support is no longer just a competitive advantage-it's a necessity. Companies increasingly turn to AI customer service solutions to meet rising customer expectations while optimizing operational efficiency. At Mindy Support, we specialize in combining cutting-edge artificial intelligence with human expertise to deliver seamless customer interactions. Our AI-driven tools enable businesses to handle inquiries promptly, provide personalized assistance, and maintain consistent quality across all communication channels.
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Same Mission, Different Mindsets: CISOs and Incident Response Leaders in the Age of AI and Automation

When you work in cybersecurity, whether you're steering the operational team, or in a more strategic role, the mission is the same: protect the business. But when it comes to executing that mission, finding consensus on the best approach can be hard. At this pivotal point in the evolution of cybersecurity, as automation becomes table stakes and AI adoption accelerates, it is important that stakeholders are pulling in the same direction. However, recent ThreatQuotient research highlights real differences in how CISOs and Heads of IR approach the introduction of AI into cybersecurity strategy and practice.