Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

The Internet of Things (IoT) ecosystem is expanding rapidly, connecting billions of devices across industries. While this connectivity drives efficiency and innovation, it also introduces massive cyber risks. The IoT ecosystem is an interconnected environment of devices, systems, and technologies, making security especially complex. Attackers are increasingly using automation and artificial intelligence (AI) to launch sophisticated attacks at scale.

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.

AI has redrawn the cyber battlefield. Adversaries are already automating every phase of the kill chain to strike faster, scale wider, and overwhelm defenders. Manual workflows and conversational assistants help teams move faster, but still bind them to human speed. Agentic AI changes the equation. It enables security teams to deputize trusted, mission-ready agents that reason, decide, and act on their behalf — at the speed of AI. The promise of agentic AI is clear.

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.