Businesses now use automation wherever they can to improve process efficiency and accuracy and minimize human error. So nobody should be surprised that automation is now creeping into cybersecurity to eliminate manual and time-consuming security operations and improve data protection.

In recent years the SolarWinds and Log4j breaches have spotlighted the importance of software supply chain security. Hackers have become increasingly sophisticated in their methods and now target the cloud-based software that organizations rely on, leading to significant security breaches. It’s essential for organizations to prioritize their security posture by implementing best practices for software supply chain security.

Enterprise risk management (ERM) has become increasingly important in today’s complex business environment, where organizations face a wide range of risks: operational, financial, regulatory, and more. To manage these risks effectively, companies are turning to risk management software, which streamlines the process of identifying, assessing, and mitigating risks.

Great innovations bring great risks — including artificial intelligence. You may be aware of the cutting-edge capabilities, but have you considered the risks of AI? A few weeks ago, my colleague wrote on the dangers of ChatGPT, focusing on the risk of adding third parties to your ecosystem. Since then, things have only gotten worse.

Data is one of an organizations’ most valuable assets, and confidential data must always be protected. Unfortunately, data is also a “slippery” asset – meaning, it ends up in places it shouldn’t be. Criminals pursue it, employees mishandle it, or data “leaks” beyond your enterprise through some other means. To mitigate this risk, organizations turn to data leak detection software as a tool to protect their data.

Unless you’ve been living under a rock, you’ve probably heard of the Silicon Valley Bank (SVB) collapse on March 10, 2023. For several days afterward, you couldn’t watch an hour of news coverage without hearing something about SVB, sending financial markets in the United States into a full-on panic and triggering a heightened sense of fear about a global financial system collapse.

IT professionals use many tools to streamline cybersecurity tasks, including network security monitoring, penetration testing, network intrusion detection, and encryption. This not only reduces the risk of common security breaches and cyber attacks; it also protects your business’s sensitive and private data from the prying eyes of attackers. That said, not all IT security tools are equal. Some security solutions do a great job of protecting your systems and networks from malicious activities.

When creating a strong risk management program within your organization, your business processes need controls in place for maintaining security and mitigating risks. And to assure the continued effectiveness of these controls, the compliance team should also have continuous control monitoring in place. Continuous control monitoring, or CCM, is a subset of continuous data assurance. It can be programmed within your GRC dashboard or risk management software solution.

Vendor risk management (VRM) has become a critical component of business continuity, especially given today’s cybersecurity threat landscape. That said, VRM is challenging. Collaborating with vendors involves the sharing of sensitive information and presents difficult tasks. In particular, assessing a vendor’s role in an organization’s business operations is crucial to mitigate supply chain risks.

As an enterprise leader or cybersecurity professional, you know that the threat landscape is expanding. You know that cybercriminals get smarter every day, using ever-more sophisticated weapons to attack organizations, disrupt operations, and compromise sensitive IT assets. To protect your organization from these attackers, you must assess and strengthen your cybersecurity posture. In this blog we’ll show you how to do both.