‘We Work for Abuja’: Captured Notorious Bandit Makes Startling Confession After Arrest in Delta Forest

Muhammad H Mamman
2 Min Read

A suspected notorious bandit apprehended by security operatives in a forest in Delta State has claimed that he and members of his criminal network “work for Abuja,” in a startling confession that has sparked fresh questions over the structure and reach of armed criminal groups operating across Nigeria.

The suspect, whose identity has yet to be officially disclosed, was reportedly arrested during a security operation targeting criminal hideouts in the state’s forested communities. During preliminary interrogation, he allegedly admitted to being part of a notorious bandit syndicate before declaring that the group “works for Abuja” — a statement that has ignited widespread speculation over its intended meaning.

Authorities have not clarified whether the suspect was referring to a criminal command structure, a geographical base of operations, or making broader allegations. Security agencies are continuing investigations to determine the credibility of the claim and whether it points to a larger network behind the country’s growing insecurity.

The arrest comes amid renewed efforts by security forces to dismantle armed gangs responsible for kidnappings, killings and attacks on communities across several parts of Nigeria. Officials say intelligence gathered from the suspect could prove crucial in exposing the operational links, financiers and collaborators of organised criminal groups.

While the confession has attracted significant public attention, security authorities have urged caution against drawing premature conclusions until investigations are concluded. They maintain that efforts are underway to uncover the full extent of the syndicate’s operations and ensure that all those connected to the network are brought to justice.

The incident adds to growing concerns over the evolving tactics and organisation of armed groups, as Nigeria continues to confront complex security challenges across multiple regions.

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