In an era where enterprise efficiency hinges on cutting-edge technology, imagine a scenario where a seemingly harmless shared file in a company's cloud storage triggers a catastrophic data breach, orchestrated not by a hacker's direct intrusion but by the very AI assistant trusted to
What happens when digital threats evolve at a pace that outstrips even the most advanced defenses, leaving cybersecurity experts scrambling for solutions? At the recent Black Hat USA conference, a jaw-dropping statistic sent ripples through the cybersecurity community: malware complexity has surged
Imagine a software developer, eager to streamline a project, downloading a seemingly innocuous package from a trusted open-source repository, only to unknowingly unleash malware that wipes data or compromises entire systems, posing severe risks to software supply chains. This scenario is becoming
What if the most transformative technology in a company's arsenal was also its biggest blind spot? Across countless organizations, generative AI is silently embedding itself into everyday SaaS tools—think chat summaries in messaging apps or automated transcriptions in video platforms. This i
In a world increasingly reliant on artificial intelligence to drive innovation across industries, the security of AI infrastructure has never been more critical, especially when a leading technology like NVIDIA's Triton Inference Server faces alarming vulnerabilities that could jeopardize
In an era where generative AI (GenAI) is transforming industries at breakneck speed, a staggering reality emerges: the vast majority of enterprises adopting these technologies lack clear visibility into their AI supply chains, posing severe risks to security and data privacy. This critical gap took
