Tennessee Launched Prison AI Security Center

The state deployed new drone and AI surveillance tools to track contraband and unauthorized security threats.

Updated on Sept. 30, 2026 in Artificial Intelligence

Isometric editorial illustration of a security tower and perimeter fence, representing institutional AI surveillance technology. — The Tennessee Department of Correction has launched a centralized intelligence center utilizing AI-enabled cameras and counter-drone systems to secure state correctional facilities. AI Illustration. Upload story photo >

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Do you believe integrating AI and drones improves security at your local correctional facilities?

The Tennessee Department of Correction has launched the Correction Safety Intelligence Center to monitor security across state facilities. This initiative integrates AI-enabled cameras and counter-drone technology to replace or augment systems dating back to the 1990s.

Why it matters

The state aims to mitigate the growing issue of aerial contraband delivery and internal security threats through active monitoring. This modernization effort transitions security from manual observation to automated detection of weapons and cell phones.

The drone program logged 5,000 flights totaling 1,100 flight hours over the past year. These systems, alongside AI cameras designed to identify weapons and aggressive behavior, move beyond the capabilities of the legacy camera infrastructure installed in the 1990s.

The players

Tennessee Department of Correction

The state agency responsible for managing correctional facilities and security protocols across Tennessee.

The details

The newly established intelligence center utilizes counter-drone technology that triggers alerts when unauthorized aircraft enter the airspace surrounding correctional facilities. Simultaneously, AI-enabled camera systems process visual data to detect unauthorized items like cell phones and weapons, as well as signs of aggressive human behavior. These tools function as an automated monitoring layer, scanning for anomalies that would otherwise require constant manual review of outdated analog feeds.

1990s: The department installed its previous legacy camera system.
Past year: The drone program logged 5,000 flights and 1,100 flight hours.
October: The department is scheduled to upgrade the legacy camera system.

The Tech Race

This initiative marks a clear departure from the 1990s era analog prison security infrastructure that has defined the department for decades. By centralizing automated threat detection, the state is shifting its security posture toward active, signal-based surveillance.

Correctional staff will transition to using these automated alerts for real-time threat identification in October. The rollout signifies a shift in operational workflows as facility security moves from human-only observation to AI-assisted detection.

The takeaway

The department is successfully utilizing automated surveillance to close security gaps created by older infrastructure. Readers should watch for the performance results of the camera system upgrade scheduled for this October to see if the new AI tools effectively reduce the volume of contraband drops.