Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this webcast, we get into why signature-based protection breaks down in AI-first environments, what behavioral detection and positive security models actually look like in production, and what it takes to evaluate whether your runtime tools are genuinely adapting to your environment or just adding noise to your stack.

Announcing the OWASP Autonomous Penetration Testing Standard (APTS) | Conversation with OWASP Autonomous Penetration Testing Standard (APTS) lead Jinson Varghese.

Datadog Detect is a virtual mini-conference dedicated to helping security teams understand the latest in detection engineering. In this edition, featuring talks from Dropbox, Mileva Security Labs, and Datadog, learn how AI is reshaping detection and response and how to apply it to modern security operations.

Secure secrets for agentic workflows with 1Password MCP Server and Codex As AI agents write, execute, and ship production code, they need access to systems like databases, APIs, and deployment pipelines. With 1Password Environments MCP Server for Codex, instead of putting credentials directly into prompts or files, we provision a secure runtime environment where secrets are mounted, used, and discarded, with user authentication required at the moment of access.

It took 10 minutes and a free online tool to deepfake Jim’s voice, with no expertise and no cost involved.

Organizations like Renesas face critical risks when utilizing AI, as these platforms often incorporate user-submitted data into their models. Significant security incidents have occurred where sensitive source code, firmware, and proprietary designs were inadvertently made public after being uploaded for testing. A major business risk involves the potential loss of intellectual property, which can directly impact an organization's primary revenue streams. Beyond data leakage, AI presents risks through "poisoning" and the fact that AI-generated output is frequently inaccurate.

In the finale of our Russian intelligence and proxy threat series, SafeBreach engineer Adrian Culley joins host Tova Dvorin to turn five episodes of analysis into concrete, actionable defense. The threat is real—now here's how you stop it.

Powering modern security operations with AI is no longer optional. It’s essential. The Aurora Superintelligence Platform is built for the AI era, combining specialized AI agents, real-world security data, and human expertise to deliver outcomes security teams can trust. At its core, the Swarm of Experts, Security Operations Graph, and AI Trust Engine work together to drive faster detection, more accurate investigations, and more decisive response across the attack surface.

James McMillan explains how AI can help defenders spot anomalies faster, while also giving attackers new ways to scale their tactics.