Security operations teams face escalating demands to promptly detect and respond to third-party cyber threats, largely due to the increasing number of data breaches occurring within an organization’s supply chain. An effective program to manage this type of cyber risk is essential for safeguarding sensitive data and maintaining business continuity.

Many businesses depend on cloud-based tools like Office 365 to run their daily business. Because of this, O365 monitoring has become much more important for making sure that your Office 365 environment runs easily, safely, and effectively. Office 365 is more than just an email service; it's a full suite with efficiency apps, tools for working together, and storage for files. But this huge environment could also be a target for cyber threats, so it's important to keep an eye on and protect its activities.

We're happy to announce two new Veracode Scan products: Veracode Scan for Eclipse and Veracode Scan for Visual Studio. Building on the success and adoption of Veracode Scan in Visual Studio Code, IntelliJ, PyCharm, and Rider, we're releasing versions for Eclipse and Visual Studio. Now the power of Veracode’s outstandingly accurate Static Application Scanning is avaialble two of the most widely used and customer-requested IDE’s.

While today’s AI is focused on user-agent interactions, the real revolution is on the horizon, where AI agents will increasingly communicate, collaborate, and share data amongst agents. This shift brings unprecedented opportunities and new and complex data protection challenges.

C and C++ remain foundational in critical software development. These languages power a wide array of systems, from embedded devices to high-performance applications in manufacturing, operational technology (OT), and the industrial market. Their efficiency, control over system resources, and performance make them indispensable for developers working on mission-critical projects.

John Lennon popularized the phrase, “Life is what happens when you’re making other plans.” And that’s an apt characterization for how we think about threat intelligence. We tend to focus on it to block or alert-on an attack. Meanwhile life is what’s happening to our threat intel while we’re making these plans. When we don’t pay attention to the threat intelligence lifecycle, we can run into trouble.

In the digital landscape, the integration of Artificial Intelligence (AI) into cybercriminal activities has marked the beginning of a new era of threats. The “machine war” has indeed commenced, with AI enhancing the scale and sophistication of cyberattacks. Distributed denial of service (DDoS) attacks, in particular, have become more formidable with AI’s capabilities, presenting significant challenges for cybersecurity defenses.

On-demand cyber risk quantification (CRQ) models have the power to assess an organization’s unique risk profile and, subsequently, generate data-driven insights that facilitate informed risk management decisions. The basis of these insights is grounded on a probabilistic approach to event forecasting, which involves simulating thousands of potential cyber scenarios a business may experience over a given period, typically the upcoming year.

The Zenity Labs team has discovered that non-administrator users can modify existing flows that were connected to Einstein by an administrator, influencing Einstein without having the necessary permissions to edit it directly. In doing so, bad actors can easily insert malicious actions into flows that are triggered by business users throughout the enterprise, including phishing attacks, data exfiltration, and more.

When discussing the consequences of a data breach for organizations, we usually consider three types of damage: financial, legal, and, somewhat more tenuously, reputational. But what about stock prices? One would assume that stock price—an indicator of a business’s overall health and investor confidence—would plummet after a breach, but is this really the case?