A company is adopting a new artificial-intelligence-based analytics SaaS solution. This is the company's first attempt at using a SaaS solution, and a security architect has been asked to determine any future risks. Which of the following would be the GREATEST risk in adopting this solution?
The inability to obtain company data when migrating to another service is the greatest risk when adopting a new SaaS solution. Data portability is crucial as it ensures the company can retain access to its data and move it securely to another service if needed. Without this capability, the company may face significant disruptions to its business operations, potential data loss, and increased costs. Ensuring data can be retrieved and transferred seamlessly mitigates the risk of vendor lock-in and enables the company to maintain control over its critical information.
Going with C. When using a SaaS solution, the company entrusts the service provider with its data and relies on the service provider to maintain and protect that data. If the company decides to switch to a different service provider in the future, it is important to ensure that it can obtain its data in a timely and secure manner. If the company is unable to obtain its data when migrating to another service, it could result in significant disruption to its business operations and could lead to financial losses.
i'm going with D, cause now you can't test out the environement and know the vulnerabilities + you won't have full control on the system
I agree with you. D makes sense. A is the wrong answer because you can manage access controls in a Saas environment.
A -The customer still manages access controls B - The SLA or data governance can determine where date is stored and processed C - Adopting a SaaS can lead to vendor lock-in, especially with using a new/novel technology like AI. D - Many companies offer security assessments on SaaS. Inversion6, Cyber Security Works, and LeanIX are just a few from a quick google search. Answer is C.
It is not D. CSP usually let you perform security assessments against them, to provide transparency and to convince you to onboard with them. They do this by providing you security documentations, educational resources, third-party audits, certifications. C should be the answer. Using AI-based SaaS solution can cause Vendor lock-in. If the SaaS provider is using proprietary technologies, they might make it challenging for you to export your own data to another provider
While each of the answers points is a valid concern, D. The inability to conduct security assessments against a service provider could be considered the "GREATEST" risk because it impacts the core security posture of the company. If a company cannot verify the security measures of its service providers, it could inadvertently expose itself to a wide range of threats, from data breaches to regulatory fines. Furthermore, security breaches could lead to reputational damage, loss of customer trust, and financial repercussions
SaaS solutions are expected to do all of their security assessments themselves according to regulatory guidance and signed SLA. (Just like any other SaaS) However, the most important asset to a company other than $$ is its data. Therefore C is the answer. Acess controls still can be managed by the company so it is NOT A. The SLA can most certainly stipulate any geographical concerns of where the data goes. NOT B Source: Verifying each answer against Chat GPT, my experience, other test banks, a written book, and weighing in the discussion from all users to create a 100% accurate guide for myself before I take the exam. (It isn't easy because of the time needed, but it is doing my diligence)
While the inability to conduct security assessments against a service provider is indeed a risk when adopting a SaaS solution, it may not be the greatest risk in comparison to other risks. In many cases, SaaS providers have their own security assessment processes and are often required to comply with industry standards or certifications, which can help ensure a certain level of security. However, the inability to obtain company data when migrating to another service (option C) can have more severe consequences, such as data loss, increased costs, and delays in business operations. This risk can directly impact the company's core business processes and data, making it a greater risk to consider when adopting a new SaaS solution.
The inability to conduct security assessments against the service provider poses the most severe risk. While option C is a risk, data migration issues can often be mitigated through contractual agreements, data backup strategies, and implementing proper data management practices.
I think C and D are both good choices, but i think not being able to obtain data during migration is a HUGE concern verses a security assessment
but this is a security cert
Most SaaS solutions I deal with allow you to export your data and often even configurations. What I can't do is run my own security assessments against their infrastructure.
Providers like Amazon already provide detailed and certifiable audits of their service that meet a plethora of regulatulations so there is no need to assess their systems.
D. The inability to conduct security assessments against a service provider would be the greatest risk in adopting this solution. While all the options could be potential risks, the inability to conduct security assessments could leave the company unaware of any vulnerabilities or weaknesses in the SaaS solution. This could lead to a security breach or compromise of sensitive company data. Therefore, it is important to ensure the ability to conduct security assessments against a service provider is included in the contractual agreement.
Going with C. To rule out D (security assessments)..you may not be able to perform certain types of assements, such as penetration tests against the SaaS, but you could still assess the security posture through other means.
answer could be C or D, but I am leaning towards C because of the keywords "data analytics" , "AI".
"any future risks" if the company cannot migrated data to another provider for whatever reason....that would become an issue. I'll go with C.
I agree. I'm also leaning towards C.
I don't think it's C and I'm leaning towards D. Here's why it can't be C: The inability to obtain company data when migrating to another service is a risk related to data portability and vendor lock-in. While this can be a significant challenge, many regions have laws and best practices in place that require service providers to ensure data portability (e.g., GDPR's right to data portability). Additionally, this risk can often be mitigated through contractual agreements with the provider.
The inability to conduct security assessments against a service provider (Option D) is often considered a more critical risk in the early stages of adopting a new SaaS solution. Security assessments allow an organization to evaluate the service provider's security practices, assess potential vulnerabilities, and ensure compliance with security standards. This knowledge is fundamental in understanding and mitigating security risks associated with adopting a new service. While data portability and the ability to access company data during migration (Option C) are important aspects to consider, security and the assurance of a secure environment through proper assessments are typically given higher priority due to the potential risks posed by unknown or inadequately secured SaaS solutions. Therefore, the inability to conduct security assessments against the service provider is often considered the GREATEST risk in adopting a new SaaS solution, particularly concerning security and risk management.