Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This week on the podcast, we discuss a new White House memorandum that creates a program to authorize American private companies to begin conducting offensive cyber operations. Before that, we discuss a vulnerability write up for a Citrix Netscaler flaw before covering yet another prompt injection vulnerability in a popular AI tool.

Corelight’s James Pope joins Dark Reading’s Joan Goodchild at Black Hat USA to share lessons from more than a decade defending one of cybersecurity’s most unique network environments: the Black Hat Network Operations Center (NOC). As SOC lead for the Black Hat NOC since 2014, James helps oversee more than 100 analysts, threat hunters, and partners tasked with distinguishing legitimate security research from real attacks across a network built from scratch for the conference.

Corelight Senior Security Engineer Jordan Hair joins Richard Bejtlich to break down how defense teams can leverage agentic AI harnesses to transform traditional security operations. By wrapping deterministic code around large language models, Hare created automated agents for alert triage, threat hunting, and detection engineering that shrink routine investigations from 45 minutes down to seconds.

This week’s briefing covers: Dive deeper.

A European banking IT provider slashed app deployment time from 3-4 weeks to just 3 days using automation. Their goal: 24-hour deployment for faster revenue generation and massive cost savings.

Application owners can now self-serve security reviews using AlgoSec, translating business needs into technical rules. This breaks down silos and speeds up collaboration between dev and security.

AlgoSec accelerates secure application delivery by mitigating policy risks and ensuring business continuity. Avoid costly breaches and keep your revenue flowing.

AI is making decisions across your environment — calling APIs, accessing data, and taking action. Most organizations know it's happening, but far fewer can see it, let alone stop it. In this panel discussion, security leaders will share what they've learned deploying and governing AI workloads at scale on AWS, and what it takes to close the gap between deployment and accountability.