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Showing posts from March, 2024

The Role of Encryption in Securing Telecom Networks and Customer Data

 In today's digital era, where our lives are becoming more intertwined with the internet and telecommunications, safeguarding sensitive information is of utmost importance. This holds particularly true for telecom networks managing a substantial volume of personal data, financial transactions, and confidential communications. Encryption emerges as a crucial line of defense in this context. In today's interconnected world, data encryption serves as a digital fortress safeguarding our sensitive information. Given the continuous evolution of technology and the persistent rise of cyber threats, the importance of resilient encryption mechanisms has never been more crucial. How does encryption work? The process of data encryption begins with the original, readable data, also called plaintext. This could include various forms such as text messages, files, financial transactions, or any other sensitive information. A suitable encryption algorithm is selected according to securi...

How to prevent and recover from a ransomware attack?

 By Abhishek Srinivasan Ransomware attacks are at an all-time high. A recent study shows that only 16% of the organizations attacked by ransomware were able to recover without paying a heavy ransom1. This stark statistic paints a picture of inadequate defenses against a catastrophic threat. Ransomware is a crime where cybercriminals infiltrate networks, encrypt vital data, and demand a hefty ransom for its decryption. However, paying the ransom isn’t the solution. It financially empowers criminal actors and offers no guarantees of data recovery , leaving organizations vulnerable to further attacks. Why is ransomware on the rise? Ransomware used to be a threat only skilled hackers could conduct. However, the emergence of Ransomware-as-a-Service (RaaS) has lowered the barrier to entry, allowing even the most novice hackers to conduct such attacks. These online platforms equip hackers with the tools and infrastructure required to conduct catastrophic attacks at scale, leading ...

How Social Engineering Could Be a Critical Threat to Organizational Security and Reputation

While humans are the backbone of any organization, they can also be its Achilles' heel, allowing hackers to exploit even the most robust security measures. To bring their malicious intent to life, social engineering is how threat actors manipulate human emotions, such as anger, guilt, kindness, urgency, fear, and more. The diversity of social engineering attacks, from phishing to data theft, highlights the need for heightened awareness. Understanding how cybercriminals exploit vulnerabilities is the first step in building a human firewall – a collective defense against these manipulative attacks. Top 4 Cyber Crimes Based on Social Engineering 1.   Baiting Tapping into the emotion of  curiosity , hackers leave baits, such as malicious flash drives, in highly susceptible places. This could be in the elevator or parking lot of the target organization. The bait would even seem authentic, such as labeling the malicious flash drive "Payroll Data" to pique curiosity. Once the t...

How Enterprises Can Manage Generative AI Risks?

By Abhishek R Srinivasan, Director – Product Management, Array Networks Generative AI has seen a sharp rise in adoption in the last year. While the technology promises innovation and productivity, risks about data security and breaches plague organisations. Some of the risks associated with Generative AI are data misuse, data breaches, and data poisoning. This is because Generative AI is a Large Language Model (LLM) that relies on a significant amount of data to produce outputs. With AI’s growing adoption and development, understanding and mitigating inherent risks becomes increasingly important for organisations. Top three Gen AI-associated risks Most Generative AI risks stem from how users suggest prompts and how the tool collects, stores, and processes information. Here are three key risks associated with Generative AI tools. Risk of data leak Generative AI systems learn and improve through large datasets (gained from the internet or provided by an organisation) and user-provided p...