Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Modern enterprise solutions—ranging from cloud data and power platforms to agentic AI and API connections—require rigorous oversight. Every platform integration must be evaluated through the lenses of risk, data compliance, and privacy to ensure secure operations. Netskope provides the necessary visibility and control for all data paths, including APIs and cloud-based AI platforms, helping Embecta enforce the data compliance and privacy standards required when integrating disparate applications.

The emergence of advanced large language models like Anthropic's Mythos represents an epochal shift in cybersecurity, fundamentally altering how zero-day vulnerabilities are surfaced and remediated. In this episode, host Richard Bejtlich sits down with Corelight Co-founder Greg Bell to analyze the security implications of this AI-driven bug explosion, highlighting recent AI-assisted vulnerability discoveries across infrastructure mainstays like FreeBSD and Firefox.

Frontier AI models like Mythos have intensified the urgency to rethink cybersecurity. But for third-party risk teams, the harder question remains: how do we prioritize the actions that actually drive business outcomes? As TPRM becomes more tightly tied to business impact, resilience, continuity, and revenue protection, leaders need a clearer view of the hard truths shaping their programs.

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.