AI Agents are revolutionizing enterprise efficiency, automating decisions, and enhancing capabilities. But while these agents drive operational improvements, they also introduce unique security challenges. Traditional silos often hinder effective risk management.

97% of enterprise leaders consider a well-executed API strategy critical in driving their organization's growth and protecting revenue streams, yet according to a recent study, 84% of security professionals reported API security incidents over the past year. In March, a GitHub breach exposed nearly 13 million API secrets that users had left in the repository over time, severely impacting customer trust and causing reputational damage.

Nine in ten Americans now own a smartphone, according to a 2024 Pew Research study. And these smartphones are increasingly being used for work. A general rise in remote work since the COVID-19 pandemic has led to an increase in the usage of mobile devices and personal software for work purposes, as people report in from home, coffee shops, or anywhere. This increased mobility offers many benefits for workers.

As businesses manage their data, an effective and well-implemented data architecture is the blueprint companies need to utilize, structure, and store data to ensure it is handled safely and securely without interrupting business operations. Furthermore, businesses must consider how they can manage data while also complying with numerous regulations and auditing processes to prevent the risk of data breaches and cyber or network attacks.

In the past, an organization’s digital data was safe behind passwords, firewalls, and physical locked doors. Today, cloud computing and remote work have rendered these traditional approaches much less effective. Threat actors can launch attacks from almost any device, almost anywhere. Usernames and passwords are widely available on the dark web. To keep sensitive data safe, organizations must understand that any account — even one with the proper credentials — could be compromised.

This sentiment expressed by Fiverr’s VP of Business Technologies perfectly reflected the energy at the Fal.Con 2024 Torq booth and struck a chord with security teams using CrowdStrike’s powerful tools. Detection isn’t the problem — CrowdStrike excels at that. The challenge lies in automating what happens next.

In today’s fast-paced cybersecurity environment, the ability to quickly and effectively manage threat intelligence and incident response is critical. The solution? A seamless integration of human expertise with cutting-edge automation. Standardizing how intelligence and incidents are handled by merging human processes with automated workflows is necessary.

Endpoint detection and response (EDR) has been a standard method for securing on-premises devices for years. When combined with antivirus software, it’s proven an effective way to uncover threats before they can cause severe damage. However, the growth of smartphones and other mobile devices means more and more work is getting done outside of the office. Organizations can no longer rely on traditional EDR protections as millions more endpoints are now exposed to the threat of a cyber attack.

The newly passed Australian Cyber Security Act is part of the reform laid out in the 2023–2030 Australian Cyber Security Strategy. The legislation aims to fill gaps in Australia’s overall cyber resilience and support the government’s ambition to become the most secure country globally.