At St. Louis TechWeek 2025, AI took center stage as industry thought leaders shared sessions warning about inputs, data health, and how agents are the new attack surface.
Developers worldwide continue to adopt AI to speed up software delivery. But this speed often impacts security, as developers assume AI-generated code is secure without thoroughly checking for errors or vulnerabilities.
In keeping with Bitsight's ongoing commitment to making its ratings more meaningful and more representative of an ever-changing Cybersecurity landscape, the Ratings Algorithm Update for 2025 is scheduled to go into preview on April 8, 2025. The highlight of RAU 2025 is the incorporation of the Web Application Security(WAS) risk vector into the Bitsight Security Ratings1, and the associated deprecation/removal of Web Application Headers(WAH) risk vector.
Hello from the Veracode Research blog! It’s been a minute since we’ve done a malware write-up, but we’re back and ready for action! And speaking of folks who are back and ready for action, the North Korean attackers behind the crypto wallet stealer campaign we wrote about in February of 2024 and again in May of 2024 are back at it with a new batch of malicious npm packages.
Jira sandboxes provide strategic leverage for the development lifecycle. Unfortunately for IT teams, migrating them to production environments is rarely straightforward. That means backups should be immediately pointed out as a vital part of the process. A smooth migration means tested changes in the sandbox are moved to the live system without errors. This makes the platform stable and minimizes potential problems.
As organizations increasingly depend on SaaS applications, IT teams struggle with visibility and governance. Shadow IT, unmanaged devices, and limited monitoring capabilities create blind spots, exposing enterprises to compliance violations, data exfiltration, and insider threats. Risks don’t come only from unsanctioned applications: even widely used SaaS platforms can become a security liability when not properly controlled.
The amount of data worldwide is growing rapidly. According to the experts, in 2024, there was a significant 791.94% increase in data generation. There are mainly two types of data: structured and unstructured data. Both are used, maintained, and analyzed differently. But what is the basis of differentiation, and how can one find out which one is the best. In this blog, you will find out the pros and cons and use cases. So let’s begin!!
Cooperation is the key to success, and working with third parties helps your organization increase efficiency, offer better products and services, employ highly qualified experts, and cut costs. However, all these benefits come at the price of additional cybersecurity risks. Even minor flaws in your third-party vendor’s security and privacy routines may lead to serious cybersecurity breaches in your organization.
The digital landscape continues to undergo dramatic transformations. Long gone are the days when software, servers and infrastructure were monolithic and centralized. Today, organizations operate in a distributed and modular world, where machine identities are everywhere and environments are in various states of flux. AI and agentic AI are already starting to expand the volume and complexity of machine identities.
The term “Agentic AI” has recently gained significant attention. Agentic systems are set to fulfill the promise of Generative AI—revolutionizing our lives in unprecedented ways.