Say I have a d-dimensional SDE $$dX_t=\sigma(X_t) dW_t,$$ here $\sigma \in \mathbb{R}^{d\times d}$ and $W_t$ is a d-dimensional Brownian motion. After using Ito formula on the function $x\mapsto\|x\|^2$ and taking expectations ( $\mathbb{E}$ ), among other things, I have to deal with the following term
$$ 2\mathbb{E} \Big[\int_0^t \langle X_s,\sigma(X_s)dW_s \rangle \Big]. $$
Now when can I say this term is zero? Or can how can I use a Cauchy Schwarz inequality to start bounding this term, I want to bound it by terms like $\mathbb{E} \Big[\int_0^t \|X_s\|^2ds \Big] $, assume $\sigma$ is uniformly Lipschitz.