Salesforce Platform Cache is a server-side in-memory cache for storing application data in an organisation’s Salesforce environment. It provides temporary storage for frequently used values so code can retrieve them faster than from the database, with separate cache partitions and visibility controls governing what different code can read.
How Salesforce Platform Cache works
Salesforce Platform Cache is a temporary, server-side memory layer that sits alongside normal database access. It is designed for speed, so repeated reads can avoid slower queries and reduce application latency. In practice, it is best understood as a performance optimisation, not as a durable system of record.
Because the cache is temporary, its contents can disappear without warning when capacity is reclaimed, partitions change, or instances are refreshed. That makes cached values useful for reducing repeated computation, but unsafe to treat as authoritative source data.
What partitions and visibility controls change
Platform Cache is not one shared bucket. Separate cache partitions help isolate data for different purposes, while visibility controls determine which code can read from a partition. That separation matters because cache design affects both performance and accidental data exposure.
When partitioning is too broad, unrelated code paths may see the same cached objects, which increases the chance of cross-application leakage or stale data being reused in the wrong place. When partitioning is too narrow, teams can lose most of the performance benefit because the same values are cached repeatedly in separate places.
The practical rule is to treat partition choice as an architecture decision, not just a tuning option. The cache should hold data that is safe to reuse across requests, and safe to expose to every code path that can read that partition.
Security and data-handling implications
Cache content can still be sensitive even though it is short-lived. If organisations store credentials, tokens, personal data, or business-sensitive records in cache, they may create exposure through overbroad visibility, debug tooling, application flaws, or unexpected reuse by trusted code.
Because cache is designed for speed, developers can be tempted to place more into it than they would place into a durable store. That increases the blast radius of a mistake: a performance shortcut can become a confidentiality problem if the wrong values are cached or if invalidation is incomplete.
For security-sensitive designs, the question is not only whether the data is temporary, but whether every reader of that partition is entitled to see the data for as long as it remains available.
Operational limits and failure modes
Cache is most effective for data that is expensive to recompute and tolerates brief staleness. If the application depends on immediate consistency, Platform Cache can introduce logic errors, stale authorisation decisions, or user-visible mismatches between the cache and the source of truth.
Capacity pressure is another failure mode. When cached entries age out or are evicted, the application must fall back cleanly to the database or service that owns the data. If that fallback path is weak, teams can see timeouts, inconsistent behaviour, or hidden performance regressions under load.
For that reason, cache design should always be paired with cache-miss handling, invalidation strategy, and a clear decision about which data is safe to accelerate and which data must always be read directly.
Risk and Threat Considerations
Platform Cache creates risk when organisations treat a performance layer like a trusted data store. If sensitive values, session-adjacent material, or access-related data are cached too broadly, a coding error or exposure in a shared partition can turn a speed optimisation into unintended disclosure.
Failure mechanism: Overbroad visibility, weak cache hygiene, or stale reuse lets code read data that should have been isolated, refreshed, or discarded, especially when teams cache values that were never meant to survive beyond a single transaction.
Impact: The result can be data leakage, incorrect business decisions from stale values, or security decisions being made on outdated information, with the severity rising when the cached data influences access, customer-facing results, or downstream integrations.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-53 Rev 5 and CIS Controls v8 set the technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | SC-28 — Protection of Information at Rest | Cached data can include sensitive information that still needs protection while stored in memory. |
| AC-6 — Least Privilege | Partition visibility controls determine which code can read cached values. | |
| SI-2 — Flaw Remediation | Stale or incorrect cached values can create persistent logic defects after application changes. | |
| Recommendation — Limit cached sensitive data and apply protections that reduce disclosure if the cache is exposed. Restrict cache read access to only the code paths that need each partition. Revalidate cache-dependent logic after changes and clear stale entries during remediation. | ||
| ISO/IEC 27001:2022 | A.8.24 — Use of cryptography | Sensitive cached values often depend on encryption and key handling decisions in the platform. |
| Recommendation — Apply approved cryptographic handling where cached content includes protected information. | ||
| CIS Controls v8 | CIS-3 — Data Protection | The term concerns temporary storage of application data that must be classified and protected appropriately. |
| Recommendation — Classify cached data and keep sensitive values out of broad or unnecessary cache partitions. | ||
Practitioner Guidance
Why practitioners should care: The main design choice is not whether Platform Cache improves performance, but whether the data you place in it can be safely reused by every reader in that partition. That judgement should be explicit for each cached object, because cache misuse tends to fail quietly.
Common misunderstanding: Teams often assume that temporary storage is automatically low risk. In reality, short-lived data can still be sensitive, and a cache that is easy to read is only safe when the underlying data classification, invalidation logic, and partition boundaries are all deliberate.
Practitioner takeaway: Use Platform Cache for reusable, non-authoritative values, and keep sensitive or rapidly changing data on a strict source-of-truth path unless you can justify the cache lifetime and visibility controls.
Related resources from NHI Mgmt Group
- Guide: Salesforce Security Guide
- Should security and platform teams treat cache policy as part of governance?
- What breaks when Salesforce security only relies on native platform controls?
- Who is accountable when platform level cache handling exposes authenticated data across users?
- How should security teams secure Salesforce data once it moves beyond the core platform?
Deepen Your Knowledge
Free weekly newsletter
Subscribe to the NHI & AI Identity Journal
The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.
Bonus 33% off our NHI Course when you subscribe.
Reviewed and updated by the NHIMG editorial team on November 9, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org