Securing Digital Future: Telangana's CISO Initiative
Introduction
In order to effectively deal with growing cyber crime and threats the Telangana police has taken initiative by launching Law Enforcement Chief Information Security Officers (CISO) Council, an innovative project launched in Telangana, India, which is a significant response to the growing cyber threat landscape. With cyber incidents increasing in the recent years and concerning statistics such as a tenfold rise in password-based attacks and an increase in ransomware attacks, the Council aims to strengthen the region's digital defenses. It primarily focuses on reducing vulnerability, improving resilience, and providing real-time threat intelligence. By promoting partnerships between the public and private sectors, offering legal and regulatory guidance, and facilitating networking and learning opportunities, this collaborative effort involving industry, academia, and law enforcement is a crucial move towards protecting critical infrastructure and businesses from cyber threats, the Telangana police in partnership with industry and academia, has launched the Law Enforcement CISO (Chief Information Security Officers) Council of India on 7th October 2023. Chief of the Central Crime Station Stephen Ravindra said that the forum is a path-breaking initiative and the Council represents an open platform for all the enforcement agencies in the country. The upcoming inititiative inculcate close association with different stakeholders, which includes government departments, startups, centers of excellence and international collaborations, carving a nieche for a sturdy cybersecurity envirnoment.
Enhancing Cybersecurity is the Need of the Hour:
The recent launch of the Law Enforcement CISO Council in Hyderabad, India emphasized the need for government organizations and industries to prioritize the protection of their digital space. Cyber incidents, ransomware attacks, and threats to critical infrastructure have been on the rise, making it essential to take proactive cybersecurity measures. Disturbing statistics regarding cyber threats, such as password-based attacks, BEC (Business Email Compromise) attempts, and vulnerabilities in the supply chain, highlight the importance of addressing these issues urgently. This initiative aims to provide real-time threat intelligence, legal guidance, and encourages collaboration between public and private organizations in order to combat cybercrime. Given that every cyber attack has criminal elements, the establishment of these councils is a crucial step towards minimizing vulnerabilities, enhancing resilience, and ensuring the security of our digital world.
International Issue & Domestic Issue:
The announcement by the Telangana State Police, is a proactive step to form a first-of-its-kind Law Enforcement CISO Council (LECC), as part of an initiative from the State government to give a further impetus to cyber security. Jointly with its law enforcement partners, the Telangana Police has decided to make cyber cops more efficient and shape them on par with the technology advancements. The Telangana police have proved its commitment for a secure cyber environment by recovering INR 2.2 crore and INR 6.8 crore lost by people in cyber frauds which is industry’s highest rate of helping the victims.
The Police department complemented efforts by corporate executives for their personal interest in the subject and mentioned police officers’ expertise and inputs from professionals from the industry need to work cohesively to prevent further increase in the number of cyber crime cases. Data indicates that the exponential increase in cyber threats in recent times necessitates an informed and prudent action with the cooperation and collaboration of the IT Department of Telangana, centers of excellence, start-ups, white hats or ethical hackers, and international associations.
A report from Telangana commissioner states the trend of a surge in the number of cyber incidents and vulnerabilities of Government organizations, Critical Infrastructure and MSMEs and stressed that every cyber security breaches have an element of criminality in it. The Law Enforcement CISO Council is a progressive step in this direction which ensures a reduced cyber attacks, enhanced resilience, actionable strategic and tactical real-time threat intelligence, legal guidance, opportunities for public private partnerships, networking, learning and much more.
The Secretary of SCSC, shared some alarming statistics on the threats that are currently rampant across the digital world. To combat it in today’s era of widespread digital dependence, the program launched by the Telangana Police stands as a commendable step or an initiative that offers a glimmer of aspiration. It brings together all the heroes who want to protect the digital spaces and counter the growing number of threats.
Contribution of Telangana Police for carving a niche to be followed:
The launch of the Law Enforcement CISO Council in Telangana represents a pivotal step in addressing the pressing challenges posed by escalating cyber threats. As highlighted by the Director General of Police, the initiative recognizes the critical need to combat cybercrime, which is growing at an alarming rate. The Council not only acknowledges the casual approach often taken towards cybersecurity but also aims to rectify it by fostering collaboration between law enforcement, industry, and academia.
One of the most significant positive aspects of this initiative is its commitment to sharing intelligence, ensuring that the hard-earned lessons from cyber fraud victims are translated into protective measures for others. By collaborating with the IT Department of Telangana, centers of excellence, startups, and ethical hackers, the Council is poised to develop robust Standard Operating Protocols (SOPs) and innovative tools to counter cyber threats effectively.
Moreover, the Council's emphasis on Public-Private Partnerships (PPPs) underscores its proactive approach in dealing with the evolving landscape of cyber threats. It offers a platform for networking and learning, enabling information sharing, and will contribute to reducing the attack surface, enhancing resilience, and providing real-time threat intelligence. Additionally, the Council will provide legal and regulatory guidance, which is crucial in navigating the complex realm of cybercrime. This collective effort represents a promising way forward in safeguarding digital spaces, critical infrastructure, and industries against cyber threats and ensuring a safer digital future for all.
Conclusion:
The Law Enforcement CISO Council in Telangana is an innovative effort to strengthen cybersecurity in the state. With the rise in cybercrimes and vulnerabilities, the council brings together expertise from various sectors to establish a strong defense against digital threats. Its goals include reducing vulnerabilities, improving resilience, and ensuring timely threat intelligence. Additionally, the council provides guidance on legal and regulatory matters, promotes collaborations between the public and private sectors, and creates opportunities for networking and knowledge-sharing. Through these important initiatives, the CISO Council will play a crucial role in establishing digital security and protecting the state from cyber threats.
References:
- http://www.uniindia.com/telangana-police-launches-india-s-first-law-enforcement-ciso-council/south/news/3065497.html
- https://indtoday.com/telangana-police-launched-indias-first-law-enforcement-ciso-council/
- https://www.technologyforyou.org/telangana-police-launched-indias-first-law-enforcement-ciso-council/
- https://timesofindia.indiatimes.com/city/hyderabad/victims-of-cyber-fraud-get-back-rs-2-2-cr-lost-money-in-bank-a/cs/articleshow/104226477.cms?from=mdr
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Introduction
Language is an important part of human communication and a basic aspect of human understanding. The world is a global market and this diversity of languages has led to difficulties in engaging for effective communication and collaboration. India alone has 22 official languages and countless regional languages and dialects which change every few hundred kilometres.
AI has emerged to overcome this challenge of language barriers and has stepped into bringing about a transformative shift. It is leading the charge in breaking down traditional barriers and paving the way for more inclusive and seamless global interactions. AI’s integration into language translation has revolutionised the field, addressing longstanding challenges associated with traditional human-centric approaches. The limitations posed by reliance on human translators, such as time constraints, resource limitations, and the inability to handle the data efficiently, paved the way for the furtherance of the transformative impact of AI. However, challenges such as maintaining translation accuracy, addressing cultural nuances, and ensuring data privacy require careful attention to realize AI's full potential.
AI Technologies Bridging Language Gaps
AI tools have transformed translation, transcription, and natural language processing, providing language solutions. They can instantly translate text, transcribe audio, and analyse linguistic nuances, enabling effective cross-cultural communication. Moreover, AI's adaptive capabilities have facilitated language learning, allowing individuals to grasp new languages and adapt their communication styles to diverse cultural contexts.
AI technologies are making information and services more accessible to non-native speakers and are impacting global business, allowing effective engagement. Building on this transformative potential, various AI tools are now used to bridge language gaps in real-world applications. Some examples of AI’s role in bridging the language gap are:
- Real-time translation tools that enable instant communication by providing translations between languages on the fly. This would help in effortless conversations with clients and partners worldwide.
- Tools such as ‘speech-to-text’ and ‘text-to-speech’ like Murf AI, Lovo AI, and ElevenLabs work towards converting spoken language into written text and vice versa. These technologies have led to streamlined interactions, boosted productivity, and clarity in global business dealings. Businesses can extract important information, insights, and action points from meetings, interviews, and presentations.
- AI chatbots like MyGov Corona Helpdesk, WhatsApp Chatbot by the Government of India, Railway Food Order & Delivery by Zoop India, and Gen AI-Powered 'Elena' by Indian School of Business (ISB) are some examples that act as intelligent virtual assistants that engage in real-time conversations, by answering queries, providing information, and facilitating transactions. They offer round-the-clock support, freeing human resources and enhancing customer experience across language barriers.
Challenges and Limitations of AI Translation
While AI’s integration in combatting language barriers is commendable, there are challenges and limitations in overcoming this endeavour. These challenges and limitations are:
- AI translation systems face several challenges in handling accuracy, context, nuance, and idiomatic expressions.
- These systems may encounter struggles with complex or specialised language, along with those towards regional dialects, leading to potential misinterpretations.
- Biases within the AI models can further affect the inclusivity of translations, often favouring dominant languages and cultural norms while marginalising others.
- Ethical concerns, regarding privacy and data security, particularly when sensitive information is processed have also been arising.
- Ensuring user consent and protecting data integrity are essential to addressing these concerns. As AI continues to evolve, ongoing efforts are needed to improve fairness, transparency, and the cultural sensitivity of translation systems.
AI’s Future in Language Translation
AI technologies are moving towards improving translation accuracy and contextual understanding, allowing AI models to grasp cultural nuances and idiomatic expressions better. This can significantly enhance communication across diverse languages, fostering multilingual interactions and global collaboration in business, education, and diplomacy. Improvements in AI tech are taking place ubiquitous, and models like GPT and Google Translate are now better at capturing nuances, idioms, and cultural differences, reducing errors. AI tools like the Microsoft Translator help cross-continental teams work seamlessly by enhancing their productivity and inclusivity.
AI is capable of offering real-time translation in healthcare, education, and public services. This would enable more inclusive environments and bridging communication gaps. For example in the healthcare system, AI-powered translation tools are helping the industry to provide better care by crossing linguistic barriers. Doctors can now communicate with patients who speak different languages, ensuring equitable care even with linguistic boundaries.
Conclusion
We live in a world where diverse languages pose significant challenges to global communication, and AI has emerged as a powerful tool to bridge these gaps. AI is paving the way for more inclusive and seamless interactions by revolutionising language translation, transcription, and natural language processing. Its ability to break down barriers caused by linguistic diversity ensures effective communication in fields ranging from business to healthcare. Despite challenges like accuracy and cultural sensitivity, the potential for AI to continuously improve is undeniable. As AI technologies evolve, they stand as the key to overcoming language barriers and fostering a more connected and inclusive global community.
Notwithstanding AI's potential abilities to overcome language barriers through advances in natural language processing and translation, cybersecurity and data privacy must always come first. The same technologies that make it easier to communicate globally also put private information at risk. The likelihood of data breaches, personal information misuse, and compromised communication rises in the absence of strict cybersecurity safeguards. Thus, in order to guarantee safe and reliable international Interactions as AI develops, it is crucial to strike a balance between innovation and privacy protection.
References
- https://megasisnetwork.medium.com/ai-and-language-translation-breaking-down-language-barriers-47873cfdb13b
- https://pubmed.ncbi.nlm.nih.gov/38099504/
- https://www.linkedin.com/pulse/breaking-language-barriers-ai-era-leveraging-tools-business-a-rad
- https://www.researchgate.net/publication/373842132_Breaking_Down_Barriers_With_Artificial_Intelligence_AI_Cross-Cultural_Communication_in_Foreign_Language_Education
Introduction
Considering the development of technology, Voice cloning schemes are one such issue that has recently come to light. Scammers are moving forward with AI, and their methods and plans for deceiving and scamming people have also altered. Deepfake technology creates realistic imitations of a person’s voice that can be used to conduct fraud, dupe a person into giving up crucial information, or even impersonate a person for illegal purposes. We will look at the dangers and risks associated with AI voice cloning frauds, how scammers operate and how one might protect themselves from one.
What is Deepfake?
Artificial intelligence (AI), known as “deepfake,” can produce fake or altered audio, video, and film that pass for the real thing. The words “deep learning” and “fake” are combined to get the name “deep fake”. Deepfake technology creates content with a realistic appearance or sound by analysing and synthesising diverse volumes of data using machine learning algorithms. Con artists employ technology to portray someone doing something that has never been in audio or visual form. The best example is the American President, who used deep voice impersonation technology. Deep voice impersonation technology can be used maliciously, such as in deep voice fraud or disseminating false information. As a result, there is growing concerned about the potential influence of deep fake technology on society and the need for effective tools to detect and mitigate the hazards it may provide.
What exactly are deepfake voice scams?
Artificial intelligence (AI) is sometimes utilised in deepfake speech frauds to create synthetic audio recordings that seem like real people. Con artists can impersonate someone else over the phone and pressure their victims into providing personal information or paying money by using contemporary technology. A con artist may pose as a bank employee, a government official, or a friend or relative by utilising a deep false voice. It aims to earn the victim’s trust and raise the likelihood that they will fall for the hoax by conveying a false sense of familiarity and urgency. Deep fake speech frauds are increasing in frequency as deep fake technology becomes more widely available, more sophisticated, and harder to detect. In order to avoid becoming a victim of such fraud, it is necessary to be aware of the risks and take appropriate measures.
Why do cybercriminals use AI voice deep fake?
In order to mislead users into providing private information, money, or system access, cybercriminals utilise artificial intelligence (AI) speech-deep spoofing technology to claim to be people or entities. Using AI voice-deep fake technology, cybercriminals can create audio recordings that mimic real people or entities, such as CEOs, government officials, or bank employees, and use them to trick victims into taking activities that are advantageous to the criminals. This can involve asking victims for money, disclosing login credentials, or revealing sensitive information. In phishing assaults, where fraudsters create audio recordings that impersonate genuine messages from organisations or people that victims trust, deepfake AI voice technology can also be employed. These audio recordings can trick people into downloading malware, clicking on dangerous links, or giving out personal information. Additionally, false audio evidence can be produced using AI voice-deep fake technology to support false claims or accusations. This is particularly risky regarding legal processes because falsified audio evidence may lead to wrongful convictions or acquittals. Artificial intelligence voice deep fake technology gives con artists a potent tool for tricking and controlling victims. Every organisation and the general population must be informed of this technology’s risk and adopt the appropriate safety measures.
How to spot voice deepfake and avoid them?
Deep fake technology has made it simpler for con artists to edit audio recordings and create phoney voices that exactly mimic real people. As a result, a brand-new scam called the “deep fake voice scam” has surfaced. In order to trick the victim into handing over money or private information, the con artist assumes another person’s identity and uses a fake voice. What are some ways to protect oneself from deepfake voice scams? Here are some guidelines to help you spot them and keep away from them:
- Steer clear of telemarketing calls
- One of the most common tactics used by deep fake voice con artists, who pretend to be bank personnel or government officials, is making unsolicited phone calls.
- Listen closely to the voice
- Anyone who phones you pretending to be someone else should pay special attention to their voice. Are there any peculiar pauses or inflexions in their speech? Something that doesn’t seem right can be a deep voice fraud.
- Verify the caller’s identity
- It’s crucial to verify the caller’s identity in order to avoid falling for a deep false voice scam. You might ask for their name, job title, and employer when in doubt. You can then do some research to be sure they are who they say they are.
- Never divulge confidential information
- No matter who calls, never give out personal information like your Aadhar, bank account information, or passwords over the phone. Any legitimate companies or organisations will never request personal or financial information over the phone; if they do, it’s a warning sign that they’re a scammer.
- Report any suspicious activities
- Inform the appropriate authorities if you think you’ve fallen victim to a deep voice fraud. This may include your bank, credit card company, local police station, or the nearest cyber cell. By reporting the fraud, you could prevent others from being a victim.
Conclusion
In conclusion, the field of AI voice deep fake technology is fast expanding and has huge potential for beneficial and detrimental effects. While deep fake voice technology has the potential to be used for good, such as improving speech recognition systems or making voice assistants sound more realistic, it may also be used for evil, such as deep fake voice frauds and impersonation to fabricate stories. Users must be aware of the hazard and take the necessary precautions to protect themselves as AI voice deep fake technology develops, making it harder to detect and prevent deep fake schemes. Additionally, it is necessary to conduct ongoing research and develop efficient techniques to identify and control the risks related to this technology. We must deploy AI appropriately and ethically to ensure that AI voice-deep fake technology benefits society rather than harming or deceiving it.
Reference
The World Wide Web was created as a portal for communication, to connect people from far away, and while it started with electronic mail, mail moved to instant messaging, which let people have conversations and interact with each other from afar in real-time. But now, the new paradigm is the Internet of Things and how machines can communicate with one another. Now one can use a wearable gadget that can unlock the front door upon arrival at home and can message the air conditioner so that it switches on. This is IoT.
WHAT EXACTLY IS IoT?
The term ‘Internet of Things’ was coined in 1999 by Kevin Ashton, a computer scientist who put Radio Frequency Identification (RFID) chips on products in order to track them in the supply chain, while he worked at Proctor & Gamble (P&G). And after the launch of the iPhone in 2007, there were already more connected devices than people on the planet.
Fast forward to today and we live in a more connected world than ever. So much so that even our handheld devices and household appliances can now connect and communicate through a vast network that has been built so that data can be transferred and received between devices. There are currently more IoT devices than users in the world and according to the WEF’s report on State of the Connected World, by 2025 there will be more than 40 billion such devices that will record data so it can be analyzed.
IoT finds use in many parts of our lives. It has helped businesses streamline their operations, reduce costs, and improve productivity. IoT also helped during the Covid-19 pandemic, with devices that could help with contact tracing and wearables that could be used for health monitoring. All of these devices are able to gather, store and share data so that it can be analyzed. The information is gathered according to rules set by the people who build these systems.
APPLICATION OF IoT
IoT is used by both consumers and the industry.
Some of the widely used examples of CIoT (Consumer IoT) are wearables like health and fitness trackers, smart rings with near-field communication (NFC), and smartwatches. Smartwatches gather a lot of personal data. Smart clothing, with sensors on it, can monitor the wearer’s vital signs. There are even smart jewelry, which can monitor sleeping patterns and also stress levels.
With the advent of virtual and augmented reality, the gaming industry can now make the experience even more immersive and engrossing. Smart glasses and headsets are used, along with armbands fitted with sensors that can detect the movement of arms and replicate the movement in the game.
At home, there are smart TVs, security cameras, smart bulbs, home control devices, and other IoT-enabled ‘smart’ appliances like coffee makers, that can be turned on through an app, or at a particular time in the morning so that it acts as an alarm. There are also voice-command assistants like Alexa and Siri, and these work with software written by manufacturers that can understand simple instructions.
Industrial IoT (IIoT) mainly uses connected machines for the purposes of synchronization, efficiency, and cost-cutting. For example, smart factories gather and analyze data as the work is being done. Sensors are also used in agriculture to check soil moisture levels, and these then automatically run the irrigation system without the need for human intervention.
Statistics
- The IoT device market is poised to reach $1.4 trillion by 2027, according to Fortune Business Insight.
- The number of cellular IoT connections is expected to reach 3.5 billion by 2023. (Forbes)
- The amount of data generated by IoT devices is expected to reach 73.1 ZB (zettabytes) by 2025.
- 94% of retailers agree that the benefits of implementing IoT outweigh the risk.
- 55% of companies believe that 3rd party IoT providers should have to comply with IoT security and privacy regulations.
- 53% of all users acknowledge that wearable devices will be vulnerable to data breaches, viruses,
- Companies could invest up to 15 trillion dollars in IoT by 2025 (Gigabit)
CONCERNS AND SOLUTIONS
- Two of the biggest concerns with IoT devices are the privacy of users and the devices being secure in order to prevent attacks by bad actors. This makes knowledge of how these things work absolutely imperative.
- It is worth noting that these devices all work with a central hub, like a smartphone. This means that it pairs with the smartphone through an app and acts as a gateway, which could compromise the smartphone as well if a hacker were to target that IoT device.
- With technology like smart television sets that have cameras and microphones, the major concern is that hackers could hack and take over the functioning of the television as these are not adequately secured by the manufacturer.
- A hacker could control the camera and cyberstalk the victim, and therefore it is very important to become familiar with the features of a device and ensure that it is well protected from any unauthorized usage. Even simple things, like keeping the camera covered when it is not being used.
- There is also the concern that since IoT devices gather and share data without human intervention, they could be transmitting data that the user does not want to share. This is true of health trackers. Users who wear heart and blood pressure monitors have their data sent to the insurance company, who may then decide to raise the premium on their life insurance based on the data they get.
- IoT devices often keep functioning as normal even if they have been compromised. Most devices do not log an attack or alert the user, and changes like higher power or bandwidth usage go unnoticed after the attack. It is therefore very important to make sure the device is properly protected.
- It is also important to keep the software of the device updated as vulnerabilities are found in the code and fixes are provided by the manufacturer. Some IoT devices, however, lack the capability to be patched and are therefore permanently ‘at risk’.
CONCLUSION
Humanity inhabits this world that is made up of all these nodes that talk to each other and get things done. Users can harmonize their devices so that everything runs like a tandem bike – completely in sync with all other parts. But while we make use of all the benefits, it is also very important that one understands what they are using, how it is functioning, and how one can tackle issues should they come up. This is also important to understand because once people get used to IoT, it will be that much more difficult to give up the comfort and ease that these systems provide, and therefore it would make more sense to be prepared for any eventuality. A lot of times, good and sensible usage alone can keep devices safe and services intact. But users should be aware of any issues because forewarned is forearmed.
