Learn how Tanium and Microsoft Copilot for Security joined forces to empower SOC teams with real-time, AI-driven security.

Early on March 28, 2024, the Mend.io research team detected more than 100 malicious packages targeting the most popular machine learning (ML) libraries from the PyPi registry. Among those libraries are Pytorch, Matplotlib, and Selenium.

Cato XDR breaks the mold: Now, one platform tackles both security threats and network issues for true SASE convergence.

As per Statista, mobile apps are estimated to generate over $935 billion in revenue in 2024, which includes: This means businesses must prioritize mobile app testing and security posture to safeguard users' personal and financial information from security breaches. For successful mobile app testing, your team must test the app through numerous operating system versions, network bandwidths, screen resolutions, and devices—to ensure the app performs seamlessly across devices.

One of the key questions we get is “how do I get started with hyperautomation?” It can seem slightly overwhelming if you haven’t automated in the past, or you’re used to attempting to automate using legacy SOAR solutions. If you’re wondering where to get started with hyperautomation, look no further. We caught up with Security Automation Leader Filip Stojkovski, who put together a handy blueprint on how and where to start your journey to hyperautomation.

DevSecOps is a collaborative practice that incorporates security into the development and delivery of software. DevSecOps encourages a culture where security, development, and operations teams collaborate closely; this collaboration ensures that security considerations are understood and implemented by everyone involved in the software development lifecycle.

Vendor risk management (VRM) is a process that helps businesses manage the risks associated with their vendors. This includes assessing how well their vendors are performing, identifying potential problems early, and taking appropriate action to mitigate any damage.

In the rapidly maturing landscape of artificial intelligence (AI), multimodal learning has emerged as a game-changer. It enables AI systems to process and integrate data from numerous modalities, such as text, images, audio, and video. This approach is crucial for developing AI systems that can understand and interact with the world in a more human-like manner, as our experiences and communication are inherently multimodal.

Artificial intelligence (AI) has become integral to many industries, driving new innovation and opportunities for growth. At the same time, the rapid adoption of AI has created new risks for companies, ranging from ethical governance in accountability and fairness to reputation and trust — coupled with the increased cyber risk for organizations developing, deploying, and using AI systems.

Visma selects Aikido security, entrusting them to deliver software security to their portfolio of 170+ companies. Securing software is vitally important to Visma, whose operations deliver software to dynamic SMEs, powerhouse corporations, and key public institutions worldwide. Together, Visma and Aikido are not just participating in the future of application security; they are creating it.