Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Organizations face complex challenges in managing security across hybrid environments, leading to potential vulnerabilities and compliance risks. AlgoSec offers a comprehensive solution that provides deep visibility, automates security changes, and ensures continuous compliance.

Experience the power of AlgoSec Horizon— the industry's first application-centric security management platform for the hybrid network environment. Gain deep visibility, automate security changes and ensure continuous compliance in your datacenter and multi-cloud network.

The cybersecurity landscape is undergoing a paradigm shift driven by two unstoppable forces: Generative AI and Shor’s Algorithm-capable Quantum Computing. As we approach "Q-Day," the window for organizations to transition to quantum-resistant architectures is closing. Modern threat actors are no longer just using brute force; they are utilizing Quantum-AI convergence to automate vulnerability discovery and bypass legacy encryption. This session provides a roadmap for transitioning from traditional cybersecurity to a Post-Quantum Cryptography (PQC) framework.

The economic model of cybercrime is shifting from stealing data to creating time drag on the systems that keep the business running. Loud ransomware taught everyone to expect clear incidents, but quieter attacks now focus on prolonged disruption, where boards pay to restore growth and confidence without ever declaring a cyber event.

This video will demonstrate how Arctic Wolf Threat Intelligence enables customers to defend to against new and emerging threats through engaging content, actionable intelligence, IoC quicklinks and automated feeds.

Watch Claude Code generate production-ready Cobalt Strike detection rules in LimaCharlie. The agent defines detection requirements, creates rule logic for high-signal patterns, validates syntax, and deploys rules to the tenant. Named-pipe indicators and process-based signatures are tested against positive and negative controls to confirm accuracy. Security teams can operationalize threat-specific detections in minutes instead of hours.

In software, speed is great, but safety is critical. How do you get both? That's the "Sec" in. It’s why has gained popularity: moving from the end of the line to the very beginning. Instead of a final check, it becomes a "shared responsibility" for Dev, Sec, and Ops teams at every stage of software development and delivery.

How do AI models go from a cool idea to a reliable app feature? One answer:. It's the "#DevOps for" that helps teams build, deploy, and monitor models without breaking things.

This week on the podcast, we cover a Politico report detailing a security lapse at CISA in the United States involving sensitive data and a public version of ChatGPT. Next, we dive into a couple of recently resolved vulnerabilities in the SolarWinds Web Help Desk application. Finally, we end with some closure on a story about two Coalfire penetration testers who were arrested several years ago for completing a penetration test in Iowa.

AI agents aren’t taking over. But agentic AI without security is a real problem. Over the last few days, Moltbot and its social platform Moltbook have surged across headlines and social media. Some are calling it a glimpse of artificial general intelligence. Others say AI agents are organizing themselves. That’s not what’s happening. In this video, SecurityScorecard’s Jeremy Turner, VP of Threat Intelligence & Research, breaks down what Moltbot actually is, why this isn’t AGI, and where the real danger lives.