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.

Organizations are adopting Google Cloud at a growing rate. This growth is partially influenced by both the rise of AI computing and a push towards multi-cloud usage. A recent report found that 85 percent of organizations deploy their applications on multi-cloud architecture. With the shift to AI computing and multi-cloud adoption, organizations are reconsidering their cloud security coverage now more than ever.

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.

“If you put a key under the mat for the cops, a burglar can find it, too. Criminals are using every technology tool at their disposal to hack into people’s accounts. If they know there’s a key hidden somewhere, they won’t stop until they find it.” - Tim Cook, CEO of Apple Inc. The entire digital landscape has evolved into a behemoth of sorts as the number of online attacks targeting individuals, businesses, and governments has risen steadily.

Generative AI technology is rapidly evolving, offering groundbreaking capabilities in various fields, including cloud native environments and CNAPP (Cloud-Native Application) solutions. Development of generative AI technology holds immense promise for enhancing the capabilities and performance of cloud-native environments and CNAPP solutions.

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.

Over the past few years, software supply chain security has been top of mind for governments and businesses alike. Following Log4Shell in late 2021, the Biden administration’s National Cybersecurity Strategy started focusing on open source supply chain security. The National Security Agency (NSA) recently released new guidance on securing open source software supply chains.

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