In the aftermath of supply chain breaches against SolarWinds and Codecov, organizations are focused on protecting their software from malicious tampering and compromise. Addressing the complexity of software development and potential security exposures has been top of mind. The complexity goes beyond traditional application security as the software supply chain encompasses and spans across different services, organizations, roles, and responsibilities.

While perhaps new to AI researchers, supply chain attacks are nothing new to the world of cybersecurity. For those in the know, it has been best practice to verify the source and authenticity of downloads, package repositories, and containers. But human nature usually wins. As developers, our desire to move quickly to improve ease of use for users and customers can cause us to delay efforts to validate the software supply chain until we are forced to by our peers in compliance or security organizations.

Elastic 8.9 introduces the generative AI sidekick, enhanced rule tuning, new lateral detection capabilities, and more! These new features provide security practitioners with advanced detection and analytics, easy to access information, more ways to customize your security investigations, and additional deployment options.

As attackers get more creative in their malicious tradecraft, cloud security teams must be able to keep up with detections that provide adequate coverage against the diverse threats to their cloud environments. Threat emulation enables cloud security teams to leverage their understanding of threat actor behaviors as a feedback loop for developing cloud-based detections and validating their resilience.

In recent years, there has been a significant rise in the number of API attacks, posing a growing threat to businesses and organizations across various industries. APIs, or application programming interfaces, have become essential for enabling communication and data exchange between different software systems. However, this increased reliance on APIs has also made them an attractive target for cybercriminals.

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.