Prompt injection is not just a vulnerability — it’s a multi-headed threat vector. From overt attacks to inadvertent leakage, each scenario introduces unique risks, requiring tailored strategies to safeguard operational integrity, regulatory compliance, and business reputation.
DigiPIN is designed to be a technical standard for location identification, much like GPS coordinates.
The rapid adoption of Large Language Models (LLMs) such as ChatGPT, Claude, and Gemini has revolutionised enterprise operations across industries—from customer support and legal drafting to cybersecurity automation and product innovation. However, this surge in usage has opened new frontiers for cyber threats. Among the most pressing is LLM01:2025 Prompt Injection, the first and arguably the most dangerous vulnerability in OWASP’s Top 10 for LLMs.
Prompt injection attacks manipulate LLMs into executing unintended behaviours, bypassing safety protocols, generating harmful content, or leaking sensitive data—all of which hold serious business, regulatory, and reputational implications.
In an era where digital connectivity defines the rhythm of our daily lives, cyber security is no longer a back-office technical issue—it is a boardroom priority. For Ultra-High Net-Worth Individuals (UHNWIs) & HNIs, the stakes are even higher, particularly when it comes to protecting senior family members from cyber threats. This is not merely a matter of personal safety; it’s a question of wealth preservation, reputational risk, and intergenerational legacy management.
Senior citizens, often perceived as “soft targets,” are growing in the crosshairs of sophisticated cybercriminals. From social engineering and phishing scams to ID theft and financial fraud, the attack vectors are diverse and evolving rapidly. In this blog post, we delve deep into the landscape of cyber threats faced by elderly folks or adults, offering actionable insights and strategies that C-Level executives can implement to secure their families, assets, and long-term interests.
India is witnessing a paradigm shift in cyber fraud. Gone are the days when spam emails and basic phishing attacks dominated the threat landscape. Today, attackers wield AI-powered tools, social engineering, and psychological manipulation to deceive even the savviest executives. The “digital arrest” scam is a prime example—where individuals are falsely informed that they are under online investigation, often accompanied by deepfake voices, manipulated video calls, or forged documents.