The indicator that shows when a company might not be viable after a disaster is the maximum tolerable downtime (MTD). MTD is the maximum amount of time that a business process or function can be disrupted without causing unacceptable consequences for the organization. MTD is a key metric for business continuity planning and disaster recovery, as it helps determine the recovery time objective (RTO) and the recovery point objective (RPO) for each process or function. If the actual downtime exceeds the MTD, the organization may face severe losses, reputational damage, regulatory penalties, or even bankruptcy. Verified Reference:
https://www.techtarget.com/searchdisasterrecovery/definition/maximum-tolerable-downtime
https://www.techtarget.com/searchdisasterrecovery/definition/recovery-time-objective
https://www.techtarget.com/searchdisasterrecovery/definition/recovery-point-objective

An inspection proxy, also known as an SSL/TLS inspection proxy, can decrypt HTTPS traffic, allowing the IDS to analyze the content for malicious activity. This method ensures that encrypted traffic can be inspected without compromising the security of the data in transit. The inspection proxy will re-encrypt the data before sending it on to its destination, maintaining the confidentiality of the communication while enabling security tools to perform their functions.
Reference:
CompTIA CASP+ CAS-004 Exam Objectives: Section 3.3: Integrate network and security components and implement security controls.
CompTIA CASP+ Study Guide, Chapter 7: Analyzing Security Incidents.

Physically uncloneable functions (PUFs) are hardware-based features that leverage intrinsic physical properties of chips to create unique, non-reproducible identifiers. This reduces supply chain risks by enabling robust authentication and counterfeit prevention. This method aligns with CASP+ objective 4.3, which focuses on secure hardware design and supply chain risk management, ensuring authenticity and integrity of hardware components.

According to NIST SP 800-146, cloud computing introduces new risks that need to be assessed and managed by the cloud consumer. Some of these risks are related to the shared responsibility model of cloud computing, where some security controls are implemented by the cloud provider and some by the cloud consumer. The cloud consumer cannot transfer all the risks to the cloud provider and needs to understand which risks are retained and which are mitigated by the cloud provider.3