Cloud Platform and Infrastructure Security · Topic 3 of 5

Risks to Cloud Infrastructure and Platforms

CCSP infrastructure risk: identification and analysis, qualitative and quantitative methods, cloud vulnerabilities, threats and attacks, and treatment.

  • 5 min
In a nutshell
  • SLE equals asset value times exposure factor; ALE equals SLE times ARO.
  • Qualitative is fast and subjective; quantitative supports cost decisions but needs data.
  • Misconfiguration, weak IAM and insecure APIs dominate real cloud incidents.

What it is

Risk analysis for cloud infrastructure asks what could go wrong with the platform a workload runs on, how likely it is, and how much harm it would do. It then chooses a treatment for each risk.

The cloud changes the inputs. Some risks move to the provider, new ones arrive with shared infrastructure and the management plane, and the customer has less direct visibility to assess them.

Identify assets and threatsAnalyze likelihood and impactEvaluate against appetiteTreatMonitor

How it works

Risk identification

Identify assets (workloads, data, accounts, keys), threats (who or what could cause harm), vulnerabilities (weaknesses they could exploit) and existing controls. Sources include threat intelligence, CSA Top Threats reports, provider security documentation and audit reports, past incidents and architecture reviews.

Risk analysis

MethodHowStrengthWeakness
QualitativeRate likelihood and impact on scales such as low, medium, highFast, works without dataSubjective
QuantitativeCalculate monetary lossSupports cost-benefit decisionsNeeds reliable data
Semi-quantitativeNumeric scores on defined scalesEasier comparisonNumbers can look more precise than they are

The quantitative formulas:

SLE  = Asset value x Exposure factor
ALE  = SLE x ARO
Example: asset $500,000, exposure factor 40%, one event every 4 years
SLE = 500,000 x 0.4 = $200,000
ARO = 0.25
ALE = 200,000 x 0.25 = $50,000 per year

A control costing less than the ALE reduction it brings is cost justified.

Cloud vulnerabilities

VulnerabilityExample
MisconfigurationOpen storage, permissive network rules, logging turned off
Weak identity and access managementNo MFA, overprivileged roles, long lived keys
Insecure interfaces and APIsUnauthenticated management or application APIs
Shared technology flawsHypervisor or CPU vulnerabilities affecting co-resident tenants
Lack of visibilityLimited logs in SaaS, no access to provider infrastructure
Unpatched imagesOld templates deployed with known vulnerabilities

Threats and attacks

AttackTargetDescription
Account hijackingManagement planeStolen credentials used to take over an account
VM escapeHypervisorBreaking from a guest to the host
Side channelShared hardwareInferring another tenant's data through timing or cache behaviour
Denial of serviceNetwork, APIsOverwhelming services; elasticity can turn it into a cost attack
Economic denial of sustainabilityBillingDriving up consumption so the bill becomes unaffordable
Malicious insiderProvider or customer staffAbuse of legitimate access
Abuse of cloud servicesProvider resourcesAttackers renting cloud capacity for attacks or mining
RansomwareStorage and backupsEncrypting or deleting data and backups

Infrastructure risk also includes non-malicious events: provider outages, regional disasters, provider business failure and changes in law where data is stored.

Risk treatment strategies

StrategyMeaningCloud example
AvoidStop the activityDo not move a highly regulated workload to public cloud
Mitigate (reduce)Apply controlsAdd MFA, encryption and multi-zone design
Transfer or shareMove financial impact to another partyCyber insurance; contract terms with the provider
AcceptTake the risk knowinglyOwner signs off on single region for a low value system

Transfer moves financial consequences, not accountability. A provider breach of customer data remains the customer's problem with its regulator and customers.

Residual risk is what remains after treatment, and it must be within risk appetite and accepted by the risk owner.

Infrastructure risks by service category

The higher the service category, the less the customer can assess directly. In IaaS, customers can scan and test their own systems.

In SaaS, they rely almost entirely on the provider's reports, certifications and contract terms. This is why independent assurance is part of risk analysis in the cloud.

A worked example

A media company runs its streaming platform in one region of one provider. The risk register lists a regional outage as medium likelihood and high impact, with an estimated $1.2 million loss per day of downtime.

The analysis shows that a second region costs $300,000 a year. The ALE of regional outage is estimated at $600,000. The company mitigates by adding the second region for streaming, accepts the residual risk for its internal reporting system, and transfers part of the financial impact through insurance.

How the exam asks about this

  • "An asset is worth $100,000, exposure factor 25%, and the event occurs twice a year. What is the ALE?" SLE $25,000 times ARO 2 equals $50,000.
  • "Buying cyber insurance is an example of which treatment?" Risk transfer.
  • "What risk arises when attackers drive up a victim's cloud consumption?" Economic denial of sustainability.

What to remember for the exam

  • SLE equals asset value times exposure factor; ALE equals SLE times ARO.
  • Qualitative is fast and subjective; quantitative supports cost decisions but needs data.
  • Misconfiguration, weak IAM and insecure APIs dominate real cloud incidents.
  • Treatments: avoid, mitigate, transfer or share, accept.
  • Transfer moves financial impact, never accountability.
Watch out

Elasticity changes denial of service. An attack that would once take a service offline can instead scale it up and send the customer a very large bill.

Common mistakes

Assuming the provider carries the risk. Contracts can share financial impact, but regulators and customers hold the data owner accountable.

Using only provider claims. Risk analysis needs independent evidence such as audit reports, not marketing statements.

Forgetting residual risk. Treatment rarely removes risk completely; what remains must be accepted by the owner.

Check yourself

  • What is exposure factor?

    The percentage of an asset's value expected to be lost in a single occurrence of a threat event.

  • What is the difference between avoiding and accepting a risk?

    Avoidance stops the activity that creates the risk, while acceptance continues the activity and knowingly takes the risk.

  • Why is risk analysis harder in SaaS than in IaaS?

    The customer cannot test or inspect the provider's infrastructure, so it depends on reports, certifications and contract terms.

Topic 3 of 5 in Cloud Platform and Infrastructure Security

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