Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Bitsight is the global leader in cyber risk intelligence, leveraging advanced AI to empower organizations with precise insights derived from the industry’s most extensive external cybersecurity dataset. With more than 3,500 customers and over 68,000 organizations active on its platform, Bitsight delivers real-time visibility into cyber risk and threat exposure, enabling teams to rapidly identify vulnerabilities, detect emerging threats, prioritize remediation, and mitigate risks across their extended attack surface.

Falcon Cloud Security Cloud Risk Rules correlate insights across your cloud environment to identify potentially dangerous states and combinations, even when individual findings appear low-severity in isolation amid the countless security risks your cloud infrastructure faces every day.

In this quick demo, I show how easy it is to install and start using Viberails: LimaCharlie’s agentic firewall. Viberails intercepts, audits, and validates AI agent tool calls before they execute, giving security teams control over agentic operations.

In this episode of This Week in NET, host João Tomé is joined by Emily Hancock, Cloudflare’s Chief Privacy Officer and Data Protection Officer, for a wide-ranging conversation about privacy in 2026 and how the role has evolved in the age of AI.

Want to test Protegrity’s data protection features without any local installation? In this tutorial, Dan Johnson shows you how to make your first protect and unprotect API calls directly in your browser using our interactive Jupyter Notebook (Binder). This is the fastest way to see Protegrity’s Python SDK in action—authenticating, applying protection policies, and maintaining data utility in real-time.

Securing LLM Workflows with Protegrity AI Developer Edition Learn how to protect sensitive data and prevent malicious prompt injections in your AI applications. In this technical walkthrough, Dan Johnson, Software Engineer at Protegrity, demonstrates a dual-gate security architecture designed to safeguard Large Language Models. Discover how to implement a security gateway that sits between your users and your LLM. This demonstration covers the integration of semantic guardrails and classification APIs to ensure data privacy and system integrity.