Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Today, I'm absolutely thrilled to announce our newest innovation in the security space: our new CLI tool, Greybeard. After years of giving polite, professional security advice, we've realized what developers really need is an ornery virtual security expert who tells it like it is.

After implementing a DevSecOps strategy from the ground up — including secure design, testing and monitoring, and risk-based remediation — you will need to focus on analysis and governance. After all, organizations need to regularly measure and refine their security processes to mature their DevSecOps programs.

Data poisoning is a sophisticated adversarial attack designed to manipulate the information used in training artificial intelligence (AI) models. By injecting deceptive or corrupt data, attackers can hurt model performance, introduce biases, or even create security vulnerabilities. As AI models increasingly power critical applications in cybersecurity, healthcare, finance, and many other industries, maintaining the integrity of their training data is absolutely critical.