The Forward Networks platform creates a complete digital twin of your network—but the power of that data multiplies when it’s accessible via API. Whether you’re pushing insights into dashboards, validating changes before rollout, or automating ticket generation, the API puts your network state into your workflows.

AI is now part of customer service, product design, operations, and decision making. That reach brings real benefits, and it also surfaces personal and sensitive data in new places. It raises the question: How do we ship useful AI while protecting people and meeting laws? This guide helps you understand AI and data privacy as one practice through core principles, common pitfalls, practical controls, and a step by step plan to build privacy into your AI stack from the start.

As billions of connected devices come online across industries and various sectors such as smart cities, consumer electronics, and healthcare, organisations face increasing pressure to comply with global IoT security regulations. Cyber threats are no longer isolated incidents; they are systemic risks that can disrupt healthcare, transportation, energy, and manufacturing.

Security leaders are well acquainted with Shadow IT; the unsanctioned apps, services, and even devices employees adopt to bypass bureaucracy and accelerate productivity. Think rogue cloud storage, messaging platforms, or unapproved SaaS tools. These all often slip past governance until they trigger a breach, compliance issue, or operational failure. Now, a more complex threat is emerging - Shadow AI.

Mobile app security can’t afford surface-level assessments. To truly verify how apps handle compromise, security teams must venture deeper, and in the iOS world, that means jailbreaking. Jailbreaking an iOS device grants pentesters the access required to uncover weaknesses otherwise invisible under Apple's sandboxing model. By removing Apple’s built-in restrictions, testers gain deeper access to system files, APIs, and hidden behaviors that standard tools can’t expose.

JFrog Security Research recently discovered and disclosed multiple CVEs in the highly popular Chaos engineering platform – Chaos-Mesh. The discovered CVEs, which we’ve named Chaotic Deputy are CVE-2025-59358, CVE-2025-59360, CVE-2025-59361 and CVE-2025-59359. The last three Chaotic Deputy CVEs are critical severity (CVSS 9.8) vulnerabilities which can be easily exploited by in-cluster attackers to run arbitrary code on any pod in the cluster, even in the default configuration of Chaos-Mesh.

At ThreatQuotient a Securonix company, we’ve cracked the code on how to use threat intelligence to simplify security operations. It involves using automation and AI to accelerate and improve threat intelligence management to help teams work smarter, not harder. Our ThreatQ Platform provides a data-driven way to streamline the threat intelligence lifecycle – a structured process for collecting, analyzing, distributing, and honing threat intelligence to improve defenses.

The management of non-human identities (NHI) presents unique challenges that many identity and access management professionals are still learning to navigate. Service accounts, provisioned accounts, and automated system credentials require governance approaches that differ significantly from traditional user management.