Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

India has taken a decisive step toward shaping a responsible and inclusive AI future. The Government of India’s AI Governance Guidelines (2025) mark a bold framework that balances innovation, accountability, and trust—three pillars critical for sustainable AI growth. At a time when the world is debating the risks and rewards of artificial intelligence, India’s approach stands out for its clarity and cultural grounding.

Researchers at Zimperium are tracking a new malware-as-a-service platform designed to target Android phones with banking Trojans. The platform, dubbed “Fantasy Hub,” allows unskilled threat actors to launch sophisticated malware campaigns that trick victims into granting access to their bank accounts.

It’s easy to think about securing an organization’s data like building a bank vault. You focus on defenses that are impermeable to unauthorized parties: doors hardened against drills, walls resistant to impacts, and countermeasures for any number of other illicit access methods. Ultimately, you feel confident that only people with the right clearance will get in.

Modern businesses are more reliant on mobile devices than ever before. Employees need smartphones and tablets for communication, productivity, and even security authentication. As remote and hybrid work setups become more common, mobile technology is necessary for keeping workers connected to their organizations. At the same time, these devices expose a weak link in the cybersecurity chain: the human layer.

A quick search for “ChatGPT” or “DALL·E” on a mobile app store today reveals dozens of lookalikes. Each promises “AI chat,” “image generation,” or “smart assistance.” Yet beneath these polished logos lies a troubling truth — not all clones are created equal. Some are harmless wrappers that simply connect to genuine APIs. Others are opportunistic adware disguised as AI tools.

Building and securing mobile applications has never been more complex. Development teams are pushing to ship faster, while security teams are racing to identify and mitigate vulnerabilities just as quickly. Both generate massive volumes of data — from build logs and code commits to vulnerability scans and audit trails — yet these insights often remain trapped in silos.

AI adoption is accelerating at an unprecedented rate. A recent McKinsey survey found nearly 80% of enterprises now regularly use generative AI, outpacing the early adoption of both the personal computer and the public internet. Agentic AI—autonomous agents capable of planning, reasoning, and acting on a user’s behalf—has likewise moved from pilots to production, with 79% of senior executives reporting adoption.

Misconfigurations in storage and encryption settings can put your mobile apps at risk, but so can social engineering attacks. Mobile devices are powerful productivity tools, enabling your staff to work from almost anywhere. They can also be security risks, sharing sensitive data outside of a tightly controlled office environment. If smartphones and tablets are integral to your organization’s day-to-day workflows, a mobile application security assessment should be part of your cybersecurity strategy.