CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

When using AI to fully automate the process of deciding client loan rates, the primary concern from a privacy perspective is model explainability.

Why Model Explainability is Critical:

Transparency: It ensures that the decision-making process of the AI model can be understood and explained to stakeholders, including clients.

Accountability: Helps in identifying biases and errors in the model, ensuring that the AI is making fair and unbiased decisions.

Regulatory Compliance: Various regulations require that decisions, especially those affecting individuals' financial status, can be explained and justified.

Trust: Builds trust among users and stakeholders by demonstrating that the AI decisions are transparent and justifiable.

Other options, such ascredential theft, prompt injections, and social engineering, are significant concerns but do not directly address the privacy and fairness implications of automated decision-making.

To reduce the number of failed patch deployments, the systems administrator should implement a robust change management process. Change management ensures that all modifications to systems or applications are planned, tested, and approved before deployment. This systematic approach reduces the risk of unplanned changes that can cause patch failures and ensures that patches are deployed in a controlled and predictable manner.

Select the Action Items for the Appropriate Locations:

Authorization Server:

Action Item: Grant access

The authorization server's role is to authenticate the user and then issue an authorization code or token that the client application can use to access resources. Granting access involves the server authenticating the resource owner and providing the necessary tokens for the client application.

Resource Server:

Action Item: Access issued tokens

The resource server is responsible for serving the resources requested by the client application. It must verify the issued tokens from the authorization server to ensure the client has the right permissions to access the requested data.

B2B Client Application:

Action Item: Authorize access to other applications

The B2B client application must handle the OAuth flow to authorize access on behalf of the user without requiring direct knowledge of the user's credentials. This includes obtaining authorization tokens from the authorization server and using them to request access to the resource server.

Detailed Explanation:

OAuth 2.0 is designed to provide specific authorization flows for web applications, desktopapplications, mobile phones, and living room devices. The integration involves multiple steps and components, including:

Resource Owner (User):

The user owns the data and resources that are being accessed.

Client Application (B2B Client Application):

Requests access to the resources controlled by the resource owner but does not directly handle the user's credentials. Instead, it uses tokens obtained through the OAuth flow.

Authorization Server:

Handles the authentication of the resource owner and issues the access tokens to the client application upon successful authentication.

Resource Server:

Hosts the resources that the client application wants to access. It verifies the access tokens issued by the authorization server before granting access to the resources.

OAuth Workflow:

The resource owner accesses the client application.

The client application redirects the resource owner to the authorization server for authentication.

The authorization server authenticates the resource owner and asks for consent to grant access to the client application.

Upon consent, the authorization server issues an authorization code or token to the client application.

The client application uses the authorization code or token to request access to the resources from the resource server.

The resource server verifies the token with the authorization server and, if valid, grants access to the requested resources.