Amit Shah inaugurates new Multi Agency Centre, connected up to the districts
The Hindu
Union Home Minister Amit Shah inaugurates revamped Multi Agency Centre (MAC) to combat terrorism with real-time intelligence sharing.
Union Home Minister Amit Shah on Friday (May 16, 2025) inaugurated the revamped Multi Agency Centre (MAC), a common counter-terrorism grid under Intelligence Bureau (IB) that was conceptualised in 2001 post the Kargil war. The new MAC network connects all police districts in the country through a secured network and has been built at a cost of ₹500 crore.
A statement by the Union Home Ministry said that the “new MAC will go a long way in combating the terror ecosystem having intricate linkages with the organised crime.”
As many as 28 organisations, including the Research and Analysis Wing (RAW), armed forces and State police, are part of the platform and various security agencies share real time intelligence inputs on MAC.
On the occasion, Mr. Shah said Operation Sindoor is a unique symbol of the firm political will of Prime Minister Narendra Modi, accurate information of intelligence agencies and the infallible strike capability of the three armed forces. He said that India is proud of its three armed forces, Border Security Force and all the security agencies.
Speaking about the historic anti-Naxal operations conducted by Central Armed Police Forces (CAPFs) in Karregattalu Hills (KGH) at Chhattisgarh-Telangana border recently, Mr. Shah said the operations against Maoists demonstrate the excellent coordination between the security forces.
The Minister said the new MAC will provide a seamless and integrated platform for synergising the efforts of all the agencies in addressing the complex and interconnected national security challenges. He said the network will strengthen the country’s efforts to tackle serious threats like terrorism, extremism, organised crime and cyber attacks.
He said the hardware and software-related tasks were completed in record time. He added that it incorporates futuristic capabilities such as embedded Artificial Intelligence/ Machine Learning techniques to harness the potential of the vast database with MAC and Geographic Information System (GIS) services.
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