Assessment FAQs
Organizations adopting cloud platforms and AI technologies often face questions around security, governance, compliance, and risk management. This FAQ answers common questions about Opishield's assessment approach, deliverables, timelines, and recommendations.
Our assessments help organizations identify security gaps, strengthen governance practices, evaluate AI-related risks, and prioritize remediation efforts with practical guidance.
What is included in an assessment?
Assessments may include reviews of cloud architecture, security controls, identity and access management, governance processes, AI usage, compliance considerations, third-party dependencies, and organizational risk management practices based on the agreed scope.
How are assessments conducted?
Assessments are tailored to the organization's needs, risks, and objectives. Findings are documented with practical recommendations and prioritized remediation guidance to support informed decision-making.
Which frameworks are considered during assessments?
Assessments may reference guidance from NIST, OWASP, CIS Controls, and cloud provider best practices. Additional information is available on the Services page.
Do you perform penetration testing?
No. Opishield focuses on structured assessments of security, governance, compliance, and risk management. We identify weaknesses and improvement opportunities but do not conduct offensive security testing.
How long does an assessment take?
Timelines vary based on assessment scope, organizational complexity, and stakeholder availability. Smaller engagements may be completed within days, while broader reviews may take several weeks.
Is Opishield vendor-neutral?
Yes. Our recommendations are independent and focused on reducing risk and improving security outcomes without the emphasis on specific vendors or technologies.
Who can benefit from an assessment?
Organizations adopting cloud services, implementing AI technologies, pursuing compliance objectives, or seeking an independent review of security and governance practices can benefit from an assessment.
Do you assess AI systems and governance?
Yes. Assessments can evaluate AI governance frameworks, data handling practices, model risks, security controls, and operational oversight processes.
How are AI systems evaluated?
AI assessments examine governance, data handling, operational risks, and oversight processes. More information is available on the Services page.
What deliverables are provided?
Clients receive a detailed report outlining observations, risk ratings, recommendations, and prioritized remediation actions.
Can assessments support compliance initiatives?
Yes. Assessments can help organizations understand gaps related to security frameworks, regulatory requirements, and governance expectations.
Cloud & AI Security FAQs
Answers to common questions about cloud security, AI governance, cybersecurity risk management, and industry frameworks.
Cloud Security Questions
What is cloud security?
Cloud security focuses on protecting identities, workloads, services, and data while recognizing shared responsibilities between organizations and cloud providers.
What are common cloud security risks?
Common risks include misconfigurations, excessive privileges, identity sprawl, configuration drift, and limited visibility. Additional examples are discussed on our Challenges page.
What is identity and access management?
Identity and access management (IAM) helps ensure that only authorized users and systems can access resources and supports least-privilege principles.
AI Governance Questions
What is AI governance?
AI governance supports responsible AI adoption through policies, oversight, accountability, and risk management.
What are common AI security risks?
Examples include prompt injection, data leakage, insecure integrations, and unmanaged third-party AI services.
What is Shadow AI?
Shadow AI refers to AI tools used outside approved governance processes, increasing operational, compliance, and data risks.
Framework Questions
Which standards and frameworks are commonly referenced?
Commonly referenced frameworks include NIST Cybersecurity Framework 2.0, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, NIST SP 800-207 Zero Trust Architecture, CIS Controls v8, OWASP Top 10, and OWASP Top 10 for LLM Applications.