Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The New Guy (a.k.a. Agentic AI)

AI agents have already caused unintended record updates, broken workflows, and pushed flawed logic into production systems. These misfires often go unnoticed until forecasts stall, pipelines break, or sensitive data is affected. These aren’t hallucinations. They’re executed actions with real consequences. At Rubrik, we’ve spent years helping enterprises recover from ransomware, insider threats, and operational errors. The pattern is always the same: Damage happens fast. The root cause is murky. And visibility is fragmented.

Agentic Container Security with Snyk MCP Server

Did developers steal the spotlight of agentic workflows with the wave of AI coding assistants sweeping the media, startups, and tech? What about DevOps workflows, container security, and operating system vulnerability scanning? One of the most time consuming tasks of application security engineers and those responsible for production artifacts is tracking Common Vulnerabilities and Exposures (CVEs) and in what way they impact a bundled application.

Mend & Cursor: Revolutionizing AI-Generated Code Security | Mend.io

Discover how AI is transforming software development with tools like Cursor IDE and Mend.io. In this video, Alex explains how Cursor’s AI First Code Editor simplifies complex tasks, enabling both experienced and new developers to build sophisticated applications faster than ever. Mend.io takes this transformation a step further by seamlessly integrating SAST and SCA directly into the Cursor IDE. This powerful combination ensures that AI-generated code is secure from the moment it’s written, with Mend.io’s Igenic performing rapid scans without slowing down the development process.

LLMs as Compression Systems: Security Implications

LLMs as Compression Systems: Security Implications In this video, A10 Networks' security leaders Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar discuss the evolving security landscape in the age of AI and Large Language Models (LLMs). Madhav Aggarwal highlights a crucial aspect to understand about LLMs and their security implications.

CrowdStrike's Approach to Better Machine Learning Evaluation Using Strategic Data Splitting

Since day one, CrowdStrike's mission has been to stop breaches. Our pioneering AI-native approach quickly set our platform apart from the landscape of legacy cybersecurity vendors that were heavily reliant on reactive, signature-based approaches for threat detection and response. Our use of patented models across the CrowdStrike Falcon sensor and in the cloud enables us to quickly and proactively detect threats — even unknown or zero-day threats.

Unlocking LLM Privacy: Strategic Approaches for 2025

Large Language Models (LLMs) now power chatbots, copilots, and data agents across the enterprise. With that power comes risk: LLMs ingest and remix sensitive inputs-from customer conversations and internal docs to PHI and card data-creating new exposure paths and compliance headaches. In 2025, language model privacy is no longer a niche concern; it’s a board-level priority shaped by GDPR, HIPAA, PCI-DSS, and the EU AI Act.