Secrets sprawl refers to the insecure spread of credentials, tokens, keys and other sensitive information across codebases, cloud services and infrastructure. It introduces significant operational and security challenges, including weak points in CI/CD pipelines, limited visibility into where secrets are stored, error-prone manual rotation processes and a higher risk of compliance failures.

Lateral movement is no longer a secondary concern—it’s a core phase of modern cyberattacks. Once attackers breach an initial endpoint, they don’t strike immediately. Instead, they pivot silently across the network, escalate privileges, and hunt for sensitive assets. The longer they dwell, the more damage they’re capable of. That’s why detecting lateral movement with behavioral analysis is essential for modern cybersecurity defense.

In the first blog of the KMM series, we introduced Kotlin Multiplatform Mobile (KMM) and its cross-platform advantages. In this part, we go deeper into mobile security in KMM apps, focusing on: But, before that, let’s quickly recap what KMM is. Kotlin Multiplatform Mobile (KMM) enables developers to write shared code for both Android and iOS, while still maintaining platform-specific implementations where necessary. For the sake of simplicity, we have divided this blog into two sections.

The quantum threat isn’t theoretical—it’s operational. Quantum computing is rapidly shifting from research to reality, forcing chief information security officers (CISOs) to rethink cryptography, risk management and long-term data protection. In a previous post, I explained the quantum challenge. Recently, we explored why quantum readiness is not optional. Now, it’s time for action.

Ensure only verified members of your organization can log in to your Shopify swag store using their existing credentials. Discover how Single Sign-On (SSO) and automated user sync can help you create a secure, personalized experience for internal teams.

What’s happening under the hood of your AI systems? AI is now a crucial element of modern software applications, and if you don’t have visibility into its components, you’ll be left blind. Similar to a Software Bill of Materials (SBOM), an AI Bill of Materials, AI BOM, or AIBOM has become a crucial framework for documenting and securing this new and complex supply chain. This article is part of a series of articles on Shadow AI.