Many ways to do this. For instance, $B$ is non-invertible $\implies$$b_1,b_2\dots b_n,$the columns of $B,$ are linearly dependent. This means there exists $c_i$ scalars such that $c_1b_1+c_2b_2+\dots c_nb_n = 0.$ Now take $x = (c_1,c_2,...c_n)^T\neq 0.$
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Example: $B=\begin{bmatrix}
1 & 0 \\
0 & 0 \\
\end{bmatrix}$. With $x=(0,1)^T$ we have $Bx=0$, but $B \ne 0.$
Many ways to do this. For instance, $B$ is non-invertible $\implies$ $b_1,b_2\dots b_n,$the columns of $B,$ are linearly dependent. This means there exists $c_i$ scalars such that $c_1b_1+c_2b_2+\dots c_nb_n = 0.$ Now take $x = (c_1,c_2,...c_n)^T\neq 0.$