Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As the world experiences the AI gold rush, organizations are increasingly turning to enterprise AI solutions to gain a competitive edge and unlock new opportunities. However, amid the excitement and potential benefits, one crucial aspect that must not be overlooked is data security — in particular, protecting against adversarial attacks and securing AI models. As businesses embrace the power of AI, they must be vigilant in safeguarding sensitive data to avoid potential disasters.

Software vulnerability patching plays a critical role in safeguarding your code base, software, applications, computer systems, and networks against potential threats, and ensuring they’re compliant, and optimized for efficiency. Organizations’ codebases have become increasingly complex, involving sophisticated relationships between components and their dependencies.

In this episode of The Future of Security Operations podcast, Thomas chats with Rebecca Harness, VP and Chief Information Security Officer at Quickbase. Quickbase is a no-code database and application development platform that enables anyone to safely build, iterate, and integrate their applications. Rebecca has 25 years of experience in information technology and over 12 years of experience in security specifically.

Data security is vital to your organization’s well-being. Even a single data exfiltration incident can bring unwanted attention to your organization, leading to reputational and financial losses. That’s why companies across industries pay maximum attention to their cybersecurity measures and constantly enhance them. In this article, we explain the meaning of data exfiltration and how it’s performed.

It is important to secure environments with intelligent solutions. GitGuardian Honeytoken can help protect your IaC and Config Management tools.