Latest news with #TelanganaStateCyberSecurityBureau
The Hindu
a day ago
- The Hindu
National Lok Adalat: Over 1.93 lakh cases settled in Telangana, ₹45 crore refunded to cyber fraud victims
The National Lok Adalat held across Telangana on June 14 has delivered substantial legal and financial relief to thousands, with a total of 1,93,439 cases settled, including 6,294 related to cyber fraud. The initiative was aimed at encouraging an amicable resolution of disputes through compounding and reducing the burden on courts. In the run-up to the main day, police units began identifying eligible cases since June 9 and served notices to concerned parties to facilitate timely settlements. The legal effort spanned a wide array of case categories, with notable achievements in First Information Report (FIR) compounding (22,095 cases), Disaster Management violations (8,922 cases), e-petty cases (84,601), and Motor Vehicle Act violations (71,527). Hyderabad stood out with the highest number of settlements at 32,171 cases, followed by Rachakonda (21,397), Nalgonda (16,496), Warangal (13,651), and Ramagundam (13,316). Meanwhile, cyber crime victims received long-awaited financial relief. A total of ₹45.33 crore was refunded in cyber fraud cases, thanks to effective coordination among the Telangana State Legal Services Authority (TGLSA), police, judiciary, and cyber crime units. Cyberabad led in refunds with ₹13.65 crore returned in 2,276 cases, followed by Hyderabad with ₹14.54 crore across 782 cases, and Rachakonda with ₹9.98 crore in 451 cases. The Telangana State Cyber Security Bureau (TGCSB) and Sangareddy district also contributed, refunding ₹5.74 crore and ₹1.42 crore, respectively. This edition of the National Lok Adalat surpassed the previous one held on March 8, where 1,83,182 compoundable cases had been settled. The rise in number reflects growing public participation and the efficiency of the system in place.
Time of India
24-05-2025
- Business
- Time of India
Four arrested for stealing business data to start competing company
Hyderabad: The Telangana State Cyber Security Bureau (TGCSB) has arrested four individuals for stealing confidential business information from their employer in order to set up a competing business. On Saturday, a team led by DSP KVM Prasad arrested P Durga Prasad (29), a former construction engineer, J Chandrasekhar Prasad (28), an AutoCAD designer, P Praveen Kumar (29), a billing engineer, and P Anil Kumar (29), a mechanical, electrical and plumbing (MEP) manager. The arrests followed a complaint filed by a swimming pool installation company based in Banjara Hills. On 21 May, a case was registered at the TGCSB headquarters police station under sections 316(4) (criminal breach of trust by a clerk or servant), 318(4) (cheating and dishonestly inducing delivery of property) and 61(2) (criminal conspiracy) of the BNS and IT Acts. According to the police, the accused set up a parallel business called Kraftmen Engineering Infrastructure in the name of J Chandrasekhar Prasad's father in order to conceal their involvement. They misappropriated confidential client data, project designs, pricing structures and strategic business information from their employer. "The accused systematically exploited their positions within the company to access and steal sensitive business information. They used this data to approach clients and divert business to their unauthorised venture," said a TGCSB official. The investigation revealed that Praveen Kumar used the stolen data to contact clients, Prasad created unauthorised pool designs and Anil diverted labour and resources from ongoing projects. The police seized a laptop, four mobile phones and five SIM cards from the accused. They were remanded in judicial custody.
The Hindu
24-05-2025
- Business
- The Hindu
Four arrested for corporate data theft
Four individuals were arrested by the Telangana State Cyber Security Bureau (TGCSB) for conspiracy to siphon off sensitive business information from their employer and set up a rival venture. The arrested individuals were identified as Patti Durga Prasad, 29, a construction engineer residing in Secunderabad; Jalem Chandrasekhar Prasad, 28, an AutoCAD designer from Ameerpet; Pasala Praveen Kumar, 29, a billing engineer based in Uppal and Peravalli Anil Kumar, 29, an MEP manager residing in Erragadda. The police seized a laptop, four mobile phones and five SIM cards from the accused. The arrest follows a complaint from Bharat Kumar Cherukuri, Partner at Mission Pool, a Hyderabad-based swimming pool company established in 2012. A case was booked under Sections 316(4) (criminal breach of trust by a clerk or servant), 318(4) (cheating and dishonestly inducing the delivery of property) and 61(2) (criminal conspiracy) of the Bharatiya Nyaya Sanhita, 2023 and other relevant sections under the Information Technology (Amendments) Act, 2008. According to the Bureau, Chandrasekhar, Praveen, and Anil were still employed with the complainant's company at the time of the offence, while Durga had previously worked there. The group is accused of colluding to launch a parallel firm under the name Kraftmen Engineering Infrastructure. To conceal their direct involvement, they allegedly registered the company under Chandrasekhar's father's name. Investigation revealed a systematic theft of confidential data including client information, design schematics, project pricing, and strategic business documents. Praveen used this data to approach existing clients, while Chandrasekhar prepared unauthorised pool designs. Anil redirected labour and materials from the original company's projects to the new venture. The accused were remanded to judicial custody after confessing to the crime during interrogation.
Time of India
06-05-2025
- Business
- Time of India
Telangana adds AI chatbot to cybercrime helpline 1930 to speed up help in golden hour
Hyderabad: To enhance effectiveness of cyber crime helpline 1930 during the golden hour (where chances of recovering money is high), the Telangana State Cyber Security Bureau (TGCSB) has introduced a new feature – Complaint Chatbot – to reduce wait time. The current 1930 call wait time in Telangana is 5-6 minutes and the AI chatbot is expected to reduce it to 2-3 AI chatbot will collect victims' personal and crime details in non-high priority categories, allowing call centre staff more time to handle high-priority cases and freeze maximum money before it reaches fraudsters' the new system, which went live on Tuesday evening, when a victim dials 1930 in Telangana, the IVR prompts for language selection and then provides four options – 1, for reporting loss of money; 2, for complaints without monetary loss; 3, for complaint status; and 4, for who opt for case status and grievances will not be directly connected to the operator. Instead, they will receive an SMS with a weblink to the complaint chatbot page to fill in their personal and case details. Even non-financial or non-monetary loss complaints, such as online harassment, can be directed by 1930 operators to the chatbot during the call after an initial whose calls go unanswered due to excess load will also receive an SMS with a chatbot link. Users of the chatbot can attach transaction proof, like screenshots of fraudulent transactions, and upload it on the chatbot. The user will get instant confirmation about their complaint with a trackable reference call centre staff are now equipped with Cyber Computer Aided Dispatch (CAD), TGCSB's machine learning-powered complaint dispatch system. This enables staff with an interface to handle calls, register complaints, update case status, and redress grievances, while simultaneously being able to see caller details."The aim is to keep 1930 call centre operatives free to answer calls of victims who lost their money just a while ago so that they can collect details and initiate communication with bankers or e-wallet operators to freeze the amount before the fraudsters pocket it," ACB SV Hari Krishna chances of recovery fall drastically as the time gap between money transaction with fraudsters and police complaint increases, officials chatbot can also be directly accessed at the bottom right corner of the TGCSB website: from the victim's personal and crime details are collected through the AI chatbot, and cyber crime complaints get registered. The user receives details of complaint registration acknowledgement, and the details will be passed onto the 1930 call centre for further To enhance effectiveness of cyber crime helpline 1930 during the golden hour (where chances of recovering money is high), the Telangana State Cyber Security Bureau (TGCSB) has introduced a new feature – Complaint Chatbot – to reduce wait time. The current 1930 call wait time in Telangana is 5-6 minutes and the AI chatbot is expected to reduce it to 2-3 AI chatbot will collect victims' personal and crime details in non-high priority categories, allowing call centre staff more time to handle high-priority cases and freeze maximum money before it reaches fraudsters' the new system, which went live on Tuesday evening, when a victim dials 1930 in Telangana, the IVR prompts for language selection and then provides four options – 1, for reporting loss of money; 2, for complaints without monetary loss; 3, for complaint status; and 4, for who opt for case status and grievances will not be directly connected to the operator. Instead, they will receive an SMS with a weblink to the complaint chatbot page to fill in their personal and case details. Even non-financial or non-monetary loss complaints, such as online harassment, can be directed by 1930 operators to the chatbot during the call after an initial whose calls go unanswered due to excess load will also receive an SMS with a chatbot link. Users of the chatbot can attach transaction proof, like screenshots of fraudulent transactions, and upload it on the chatbot. The user will get instant confirmation about their complaint with a trackable reference call centre staff are now equipped with Cyber Computer Aided Dispatch (CAD), TGCSB's machine learning-powered complaint dispatch system. This enables staff with an interface to handle calls, register complaints, update case status, and redress grievances, while simultaneously being able to see caller details."The aim is to keep 1930 call centre operatives free to answer calls of victims who lost their money just a while ago so that they can collect details and initiate communication with bankers or e-wallet operators to freeze the amount before the fraudsters pocket it," ACB SV Hari Krishna chances of recovery fall drastically as the time gap between money transaction with fraudsters and police complaint increases, officials chatbot can also be directly accessed at the bottom right corner of the TGCSB website: from the victim's personal and crime details are collected through the AI chatbot, and cyber crime complaints get registered. The user receives details of complaint registration acknowledgement, and the details will be passed onto the 1930 call centre for further processing.
