Following the declaration by its Director-General three months ago, The Kenya Wildlife Service (KWS) has reiterated that it is forging ahead with plans to integrate AI-enabled surveillance, drone technology and digital monitoring platforms into its wildlife conservation operations.
The introduction of drones and other technology is designed to help wildlife protection officers to detect threats, track wildlife movements and respond to incidents in real time.
The approach is aimed at tackling persistent challenges such as poaching, human-wildlife conflict and the management of vast, remote ecosystems in the East African country, famous for its national reserves that host some of the world's most dense wildlife populations.
Marking the occasion to celebrate Wildlife Conservation Day in March this year, KWS Director-General Erastus Kanga said his organisation’s mandate “demands that we pivot decisively to intelligence-led, technology-driven operations. Drones, sensor networks, and real-time data platforms are not gadgets; they are operational tools that move us from reaction to prevention.”
This week, the head of technology at the agency Victor Matsanza has echoed his boss’s sentiments.
Matsanza said that the Kenya Wildlife Service was moving toward technology-driven conservation where systems are fully integrated into command centres, ranger workflows and decision-making processes.
"Kenya Wildlife Service continues to advance its mandate through the strategic integration of conservation technology into its day-to-day operations," Matsanza said, adding that AI, drones and advanced communication systems are now embedded across operations.
Central to this approach are AI-enabled thermal imaging systems that detect and classify movement in real time, even in low-visibility conditions.
"These systems provide 24/7 surveillance and can automatically distinguish between human and animal movement, triggering real-time alerts for immediate action."
Drones complement these systems by offering rapid aerial reconnaissance, particularly in remote or inaccessible terrain, he said.
"This has significantly reduced response times and improved situational awareness during anti-poaching operations."
In the vast plains of the Maasai Mara National Reserve, where wildlife once roamed beyond the reach of constant monitoring, conservation is quietly undergoing a digital transformation.
At a conservation centre within the reserve, rangers and game wardens are no longer relying solely on binoculars and radio calls.
Instead, they are turning to smartphones and drones.
"Everything is now happening in real time," said Stephen Kenta, a warden at the Maasai Mara Conservation Centre.
"You can track patrols, log incidents, even monitor animals without physically being there."
The system powering this shift is EarthRanger, a platform developed by the Allen Institute for Artificial Intelligence that integrates field observations, GPS tracking and wildlife monitoring into a single interface.
Using the mobile application, patrols begin with a simple tap, automatically capturing coordinates and logging activity in real time.
Despite the progress, some challenges remain.
The Kenya Wildlife Service said connectivity gaps in some remote areas and the need to scale up equipment continue to limit full deployment.
The service said it plans to expand drone fleets, AI surveillance and wildlife-tracking systems nationwide, while strengthening partnerships and community engagement.