Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We are thrilled to share that John Sileo – award-winning author, cybersecurity expert and President & CEO of The Sileo Group – will take the mainstage as the keynote speaker at One Identity UNITE 2026 in Chicago. John has an incredibly unique perspective to identity security, with a career shaped by personal loss from cybercrime, hard-earned wisdom and a mission to help others protect their digital identities and assets.

The pressure to meet cybersecurity and data protection rules keeps growing. more attacks, more remote work, and more connected systems have expanded the attack surface for every business. Regulators and customers now expect organizations to prove they can monitor, detect, and respond to threats at all times. For many small and midsized businesses, that level of coverage is hard to achieve without dedicated staff and around-the-clock operations.

We’re excited to share new updates and enhancements for November, including: For more info on these updates, check out the list below and dive into the detailed articles. In addition, this month we’re excited to announce the Egnyte Community. Join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.

The irony of being an adult working in IT and security is that where having your head “in the clouds” was inappropriate as a child, today most of your activities require you to have your head in the cloud. Organizations moved their business operations to the cloud because they could achieve various operational benefits, like improved collaboration and reduced costs. Yet, many companies still maintain an on-premises SIEM.

Top application security testing providers include Mend, Invicti, and Black Duck, offering a range of services like Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA). Some providers also provide specialized services like securing AI applications and vulnerability management.

The services we rely on daily—healthcare, transport, energy, and water—are the backbone of our society. An attack on these systems can cause massive disruption, affecting everything from hospital appointments to the power in our homes. In response to this growing threat, the UK government introduced the Cybersecurity and Resilience Bill on November 12, 2025, a landmark piece of legislation designed to significantly strengthen the nation’s defenses against cyber-attacks.

In our previous blog post, “Closing the Visibility Gap,” we established that visibility is the first step in managing the modern human attack surface; however, prioritizing that data is the next major concern for any CISO. Prioritization of human risk data is critical, as it directly informs governance and effective high-level decision-making. Simply put, prioritization is crucial to driving action.

Securing secrets is a difficult task. Developers frequently hardcode credentials for quick testing or use AI-generated code snippets that include live API keys or tokens. This means that enterprise secrets can inadvertently make their way into repositories and pipelines, exposing organizations to security and compliance risks without anyone noticing. When a secret is committed to a repository, it spreads quickly across branches, becomes difficult to track, and leads to leaks that are hard to clean up.

As development teams adopt generative AI at an unprecedented pace, security teams face an evolving set of challenges in securing the software development life cycle. The increasing speed and scale of code changes make it more difficult for organizations to manage risk effectively. Legacy scanners often fail to keep up, returning slow results and noisy alerts that increase remediation time and leave organizations exposed to potential breaches.

Security can quickly become overwhelming for large organizations, with teams processing logs that are fragmented across cloud providers and SaaS platforms, staggering alert volumes, and the need to scale operations efficiently as environments grow. Datadog Cloud SIEM is designed to help teams manage this workload by centralizing insights, detecting threats faster, and prioritizing investigations with rich risk context.