Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI accelerates discovery — but enterprise trust still depends on deterministic validation, remediation automation, and governance at scale. Last Friday, Anthropic launched Claude Code Security, powered by Opus 4.6, inside Claude Code. The demo is impressive: Frontier AI reasoning scanned open source codebases and surfaced over 500 previously unknown high-severity vulnerabilities — including subtle heap buffer overflows that had survived decades of expert review and fuzzing.

Connected products, whether IoT, IIoT, embedded, mobile, or other such devices, serve to either strengthen or undermine an organization’s security posture and reputation. As device ecosystems grow in complexity, manufacturers must secure embedded hardware, firmware, over-the-air (OTA) update mechanisms, companion mobile applications, cloud services and APIs, and RF interfaces. Each layer introduces distinct attack surfaces that adversaries actively target.

Listen to a NotebookLM podcast version of the blog: When Anthropic announced Claude Code’s new security scanning capabilities, following the announcement of OpenAI’s Aardvark, it marked an important moment for the industry. For the first time, expert-level security review is becoming embedded directly into the act of writing code. Subtle, context-dependent vulnerabilities can now be flagged as they are created. Zero-days can potentially be remediated before they ever make it into a build.

In many organizations, there is a dangerous unspoken rule: The SOC handles endpoints and networks; Engineering handles APIs. This silo creates a massive blind spot. We recently spoke with the Senior Manager of Security Engineering at a major insurance provider, who described this exact pain point.

TL;DR Xona Platform v5.5 strengthens remote access across distributed OT environments. It introduces session resilience to maintain continuity during network interruptions, expands centralized governance for more consistent access control, and enhances support for constrained or disconnected deployments. In critical infrastructure environments, remote access is not abstract. It supports maintenance windows, emergency response, vendor coordination, and day-to-day operations across distributed sites.

1Password has achieved a significant milestone in our collaboration with Amazon Web Services (AWS): We are officially the first partner globally to successfully transact through express private offers on AWS Marketplace, a new AI-driven capability that automates personalized pricing, allowing teams to bypass manual negotiations and receive a tailored quote in minutes.

If you’ve ever read one of those “Board Reporting Templates for CISOs” articles and thought, “Ah yes, surely my board will dedicate 25 minutes to my posture dashboard and ask follow-up questions about vulnerability backlog burn-down velocity,” then I have wonderful news for you: You have not met enough boards. Most enterprise boards don’t want a security dashboard. They don’t want posture metrics.

Data Loss Prevention (DLP), also called data leakage protection, is a cybersecurity approach designed to detect, prevent, and manage unauthorized access, sharing, or transfer of sensitive information. In simple terms, DLP helps organizations keep control of critical data such as personally identifiable information (PII), financial records, credentials, and intellectual property (IP).