Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI productivity tools are creating a prompt-level data leakage problem: 77% of employees paste data into generative AI tools, and 82% of that activity comes from unmanaged accounts, according to the LayerX Enterprise AI and SaaS Data Security Report 2025. Every paste into ChatGPT, Copilot or another GenAI tool is a potential exposure of sensitive data that traditional file-focused controls were never built to see.

Information technology and operational technology are increasingly connected, but they are not interchangeable. IT is built around information and business services; OT is built around physical processes, equipment and safe operation. That difference shapes their security priorities, asset lifecycles, maintenance practices, network architecture and recovery requirements.

“Install antivirus and enable the firewall” is still common security advice. It's also incomplete. Those controls can block malicious code and unwanted traffic, but they don't automatically connect an endpoint detection to the firewall event that preceded it, identify a compromised identity, or tell an analyst whether a policy change was legitimate.

Like many, the travel and tourism industry has undergone a radical digital transformation over the last few years. From AI-curated itineraries and biometric check-ins to interconnected booking engines and smart room tech, the modern “Digital Guest Journey” is more seamless than ever before. However, this rapid innovation has come at a steep price.

APIs are now the primary attack surface for most applications. Industry research consistently shows that the large majority of organizations have experienced an API security issue in the past year, and a significant share have delayed a rollout because of API security concerns.

AI system evaluation is the process of continuously assessing AI system capabilities, limitations, and performance through quantitative and qualitative measures. Across the system lifecycle, evals provide continuous assurance: Validating system behavior before deployment and detecting drift, bias, and reliability issues in production.

In March 2025, attackers compromised a GitHub Action used in the development pipelines of more than 23,000 repositories. The malicious code exposed API keys, cloud credentials, SSH keys, and other tokens in workflow logs. Affected teams were advised to review their workflow runs and rotate any credentials the logs exposed.

Gartner projects the average Fortune 500 organization will run more than one hundred fifty thousand agents by 2028, against fewer than fifteen in 2025. Thirteen percent of organizations believe their agent governance is adequate today. The management approach that works for fifteen agents is memory and a spreadsheet, and neither survives four orders of magnitude. ‍

European supervisors published their first sector-wide incident report in June 2026, covering more than three thousand major ICT incidents across financial services during 2025. Twenty-nine percent originated with a third party. One third had cross-border impact. ‍ The same exercise produced something more uncomfortable. Regulators built a map of which providers the sector collectively depends on, and they built it from the registers financial entities submitted themselves.