Common Encryption Challenges Enterprises Face (and How to Solve Them)

Published: October 2018. Updated: August 2026. Reviewed by Encryption Consulting’s Encryption Advisory team.

Data protection is one of the top priorities for most organizations today. Data breaches remain frequent, and regulations such as the EU GDPR, PCI-DSS, HIPAA, and NYDFS all require some form of encryption for sensitive data. Encryption is one of the oldest and still one of the most effective controls for achieving data-centric security. It is also, in practice, one of the hardest controls to operate well.

The problem is rarely the cipher itself. AES-256 and RSA-2048 are not going to fail an organization. What fails is everything around the encryption: locating the data that needs it, managing the keys that protect it, keeping performance acceptable at scale, keeping systems interoperable as they move to the cloud, and staying agile enough to move to new algorithms when the old ones are deprecated. This article walks through the common encryption challenges organizations hit in roughly the order they appear during an encryption program, explains the root cause of each one, and gives Encryption Consulting’s specific mitigation guidance.

What Are the Most Common Encryption Challenges Organizations Face?

The five most common encryption challenges are key management complexity, performance overhead at scale, interoperability across legacy and cloud systems, crypto-agility for future algorithm migration, and the cost and skills gap needed to run all of it, layered on top of mapping every control to multiple compliance regulations at once. Each challenge compounds the others: weak key management makes crypto-agility harder, and poor interoperability planning makes compliance mapping harder. The sections below cover each one, what causes it, and how to fix it.

Why Is Key Management the Hardest Part of an Encryption Program?

Key management is the hardest part because keys, not algorithms, are the actual point of failure in most encryption incidents, and the number of keys an organization must track grows faster than its ability to govern them. Key management covers how encryption keys are generated, stored, rotated, and eventually retired. A Key Management System, or KMS, is the software or service layer that performs these functions; a Hardware Security Module, or HSM, is the physical or cloud-hosted appliance that generates and stores keys inside tamper-resistant hardware so the key material itself is never exposed in plaintext.

Sprawl happens when every team picks its own key store: one team uses a cloud provider’s native KMS, another uses an on-premises HSM, and a third embeds keys directly in application config. None of these are wrong in isolation, but without a shared architecture, the organization ends up with no single inventory of which keys protect which data, who can access them, and when they were last rotated.

Encryption Consulting’s mitigation guidance: Centralize key ownership decisions even when key storage stays distributed. Decide up front whether cloud-native keys, customer-managed keys, or hold-your-own-key (HYOK) models fit each workload, keep root and intermediate keys under strict access separation from the administrators who manage the systems that use them, enforce scheduled key rotation instead of ad hoc rotation, and never allow key material to be swapped or exported outside its designated store. A cryptographic inventory, covered in our Cryptographic Inventory and Managing Cryptographic Posture solutions, is the prerequisite step: you cannot govern keys you have not found. For hardware-backed key protection specifically, see our Enterprise Guide to HSM-as-a-Service, which covers the deployment models in depth so this article does not have to.

How Much Performance Overhead Does Encryption Add at Scale?

Encryption adds measurable but manageable overhead at scale, and the overhead comes mostly from key length, algorithm choice, and how often data has to be decrypted for search or analytics, not from encryption itself. Every encrypt or decrypt operation consumes CPU cycles and, for asymmetric operations, meaningfully more than symmetric ones. A higher key length reduces the risk of key compromise but increases the resources and time each operation consumes, so throughput and business requirements need to be weighed against the security gain before a key length is chosen.

The overhead becomes a real operational problem in two specific situations: bulk encryption of large data stores, where a naive full-table re-encryption job can saturate database I/O, and querying or indexing encrypted data, where searching ciphertext stored on-premises or in the cloud often means decrypting far more often than the security model intended, which both slows systems and multiplies the opportunity for an attacker to intercept plaintext.

Encryption Consulting’s mitigation guidance: Use hardware-accelerated symmetric ciphers (AES-NI on modern CPUs, or dedicated HSM offload) for bulk data, reserve asymmetric operations for key exchange and signing rather than bulk payloads, and use envelope encryption, wrapping a data key with a master key, so the master key rarely leaves the HSM boundary. For searchable encryption needs, evaluate deterministic or format-preserving encryption for specific fields instead of decrypting whole records, and always load-test the encryption path with production-representative data volumes before go-live rather than after.

How Do You Maintain Interoperability Across Legacy and Cloud Systems?

Interoperability breaks down when legacy on-premises systems and modern cloud key stores use incompatible protocols, formats, or trust boundaries, and the fix is to standardize on interoperable protocols like KMIP and PKCS#11 wherever possible rather than building point-to-point integrations for every system. A mainframe or legacy database might expect keys in a specific PKCS#11 format from an on-premises HSM, while a cloud-native application expects to call a provider’s KMS API directly. Running both without a plan produces duplicate key material, inconsistent rotation schedules, and blind spots in audit logging.

This challenge gets harder, not easier, once an organization uses more than one cloud provider. Each hyperscaler’s native key management service has different rotation defaults, different FIPS validation levels, and different bring-your-own-key (BYOK) support, so a workload migrating between AWS, Azure, and GCP needs an interoperability plan before migration, not after. We cover the detailed side-by-side comparison, including native key storage, BYOK and HYOK support, and cost, in our dedicated post on AWS KMS vs Azure Key Vault vs GCP KMS, and in the narrower AWS vs Azure KMS comparison for two-cloud teams, rather than repeating that depth here.

Encryption Consulting’s mitigation guidance: Standardize on KMIP for key interchange between key managers and PKCS#11 for HSM integration wherever vendor support allows it, document each system’s supported protocols before selecting a target architecture, and prefer a key management layer that can broker between cloud-native KMS APIs and on-premises HSMs rather than forcing every application to speak every provider’s proprietary API directly.

What Is Crypto-Agility and Why Does It Matter for Algorithm Migration?

Crypto-agility is the ability to swap out an encryption algorithm, key length, or protocol across an environment without re-architecting the systems that depend on it, and it matters because the current algorithm timeline is no longer theoretical. NIST’s draft transition guidance (NIST IR 8547) lays out a deprecation path in which RSA and elliptic-curve algorithms at current strengths are expected to be deprecated by around 2030 and disallowed by around 2035, driven by the eventual arrival of cryptographically relevant quantum computers.

NIST finalized its first three post-quantum cryptography standards in August 2024: FIPS 203 (ML-KEM, for key encapsulation), FIPS 204 (ML-DSA, for digital signatures), and FIPS 205 (SLH-DSA, an alternative signature scheme). Organizations that hard-coded a single algorithm into applications, certificate templates, or hardware years ago are now finding that a migration nobody planned for is arriving on a fixed compliance timeline. This is the same reason encryption algorithm and key length selection matters up front: a higher key length or a newer algorithm can improve security, but every choice needs to be revisited as standards evolve, not set once and forgotten.

Encryption Consulting’s mitigation guidance: Build algorithm selection into a configurable policy layer, certificate profiles, cipher suite configuration, key management policy, rather than hard-coding it into application code. Start a cryptographic inventory now so you know which systems use which algorithms before a migration deadline forces the question. Our Crypto-Agility solution and PQC Readiness solution cover the assessment and rollout process in depth, and our PKIaaS and Crypto-Agility Strategy post covers the certificate-layer migration mechanics specifically. Use our PQC Security Maturity Model to benchmark where your program stands today.

Why Do Cost and Security Skills Gaps Slow Down Encryption Programs?

Cost and skills gaps slow encryption programs down because building and operating encryption infrastructure well, HSM procurement, key management platform licensing, and staff who understand both cryptography and the applications consuming it, is a specialized and ongoing cost, not a one-time project expense. Many organizations underbudget for the recurring cost: key rotation operations, HSM maintenance and firmware updates, certificate and key lifecycle tooling, and the specialized staff time needed to run root key ceremonies or respond to an algorithm deprecation event. Our breakdown of the true cost of running an internal PKI walks through a comparable cost model in detail for certificate infrastructure specifically.

Encryption Consulting’s mitigation guidance: Model the three-year cost, not just the first-year cost, before choosing between self-managed infrastructure and a managed or as-a-service model. A managed encryption or HSM-as-a-service approach shifts the specialized staffing burden to a provider and is often the more realistic path for teams that cannot justify a dedicated cryptography team, while still keeping the organization in control of key ownership decisions.

How Do You Map Encryption Controls to Multiple Compliance Regulations?

You map encryption to multiple regulations by identifying the small set of underlying controls, encryption at rest, encryption in transit, key rotation, and access logging, that satisfy most regulatory language, then documenting how each regulation’s specific requirement is met by that shared control, instead of building a separate program per regulation. GDPR, PCI-DSS, HIPAA and HIPAA HITECH, and NYDFS all reference encryption, but their exact wording, scope, and audit evidence requirements differ. Treating each as a separate initiative multiplies work and creates gaps where one team’s control does not actually satisfy another regulation’s evidence requirement.

Encryption Consulting’s mitigation guidance: Build one control-to-regulation mapping table (see the table below for a starting structure), assign one owner per control rather than per regulation, and collect audit evidence continuously rather than reconstructing it before each audit cycle.

Encryption Challenges: Root Cause and Recommended Mitigation

The table below maps each common encryption challenge to its underlying root cause and Encryption Consulting’s recommended mitigation, for quick reference.

Challenge	Root Cause	Recommended Mitigation
Key management sprawl	Each team selects its own key store with no shared inventory or ownership model	Centralize key ownership policy; run a cryptographic inventory before choosing tools
Performance overhead at scale	Asymmetric operations or frequent decryption for search and analytics used where symmetric or selective encryption would do	Hardware-accelerated symmetric ciphers, envelope encryption, and load testing before go-live
Interoperability across legacy and cloud	Incompatible key formats and protocols between on-premises HSMs and cloud-native KMS APIs	Standardize on KMIP and PKCS#11; plan multi-cloud key interchange before migration
Crypto-agility for algorithm migration	Algorithms hard-coded into applications and certificate templates instead of policy-driven	Configurable algorithm policy layer, cryptographic inventory, and a PQC readiness assessment
Cost and skills gaps	Recurring operational cost of HSMs, key lifecycle tooling, and specialized staff underbudgeted	Model three-year total cost; consider managed or as-a-service delivery for specialized functions
Compliance mapping across regulations	Separate compliance programs built per regulation instead of one shared control set	One control-to-regulation mapping table with a single owner per control

How Do You Build a Resilient Encryption Strategy That Avoids These Pitfalls?

A resilient encryption strategy follows a repeatable sequence rather than reacting to each challenge as it appears. The process below is the sequence Encryption Consulting uses when designing an encryption program for a client.

1. Discover and classify data. Locate sensitive and regulated data across structured, unstructured, and semi-structured stores through stakeholder interviews and discovery tooling, and classify it by sensitivity and applicable regulation.
2. Run a cryptographic inventory. Catalog every algorithm, key, certificate, and protocol currently in use, including in legacy systems, before selecting new tools.
3. Choose the key management architecture. Decide cloud-native, on-premises HSM, or hybrid per workload, based on data residency, control requirements, and existing infrastructure.
4. Select algorithms and protocols by workload, not by default. Match algorithm and key length to the specific throughput, latency, and threat model of each system, and document the decision so it can be revisited.
5. Design for crypto-agility from the start. Put algorithm choice behind a policy layer (certificate profiles, cipher suite configuration) so a future migration is a configuration change, not a re-architecture.
6. Set formal key management policy. Define rotation schedules, access separation between key custodians and system administrators, and incident response for suspected key compromise.
7. Deploy, load-test, and monitor. Conduct performance testing under production-representative load before launch, then monitor key usage, rotation compliance, and certificate or key expiry continuously after launch.

Limitations

This article covers the challenges organizations most commonly encounter across industries and does not replace a workload-specific risk assessment. Regulatory requirements referenced here (GDPR, PCI-DSS, HIPAA, NYDFS) change over time and vary by jurisdiction and industry, so confirm current requirements with legal or compliance counsel before finalizing a control mapping. Post-quantum migration timelines and NIST guidance (including NIST IR 8547) were in draft or recently finalized at the time of writing and may be updated; treat specific dates as directional rather than fixed. Performance figures for any given algorithm or key length depend heavily on hardware, workload, and implementation, so we recommend load testing your own environment rather than relying on general benchmarks.

What Would Encryption Consulting Recommend?

Start with visibility before you start with tools. Most of the encryption challenges above (sprawl, interoperability gaps, and crypto-agility failures) trace back to organizations selecting encryption products before they had a cryptographic inventory to guide the decision. Run the inventory first, decide key ownership and architecture second, and treat algorithm and protocol selection as a policy decision that will need to be revisited, not a one-time setting. If your team does not have the specialized staff to run key ceremonies, HSM maintenance, or a post-quantum readiness assessment in-house, a managed encryption advisory engagement is usually faster and less risky than building that capability from scratch. Encryption Consulting’s Encryption Advisory team can help plan and design the most suitable encryption architecture for your data, wherever it is stored, without compromising performance or user experience.

Frequently Asked Questions

What is the single biggest encryption challenge for enterprises? Key management is consistently the biggest challenge, because sprawling, ungoverned keys across cloud and on-premises systems create more risk than a weak algorithm choice does, and they are harder to fix retroactively.

Does encryption always slow down applications? Encryption always adds some overhead, but with hardware-accelerated symmetric ciphers, envelope encryption, and algorithm choices matched to the workload, the overhead is typically small enough not to be user-noticeable; the risk is mainly in unoptimized bulk encryption jobs or frequent decryption for search.

What is the difference between a KMS and an HSM? A Key Management System (KMS) is the software or service layer that governs key lifecycle policy, generation, rotation, and access, while a Hardware Security Module (HSM) is the tamper-resistant hardware where key material is actually generated and stored; most KMS platforms use an HSM underneath for the highest-sensitivity keys.

How long does it take to build a mature encryption strategy? A cryptographic inventory and initial key management architecture typically takes a few months for a mid-size enterprise; full crypto-agility and post-quantum readiness is usually a multi-year program, which is why starting the inventory now matters even if full migration is years away.

Do compliance regulations require a specific encryption algorithm? Most regulations (GDPR, HIPAA, PCI-DSS, NYDFS) require encryption of sensitive data but do not mandate one specific algorithm; they generally expect industry-standard, unbroken algorithms such as AES for symmetric encryption, with the details enforced through your own documented cryptographic policy and audit evidence.

Conclusion

Encryption has been in use for centuries, but the challenges organizations face applying it well are current and growing: key management sprawl, performance overhead at scale, interoperability across legacy and cloud systems, crypto-agility for the coming algorithm migration, cost and skills gaps, and mapping controls across a growing list of regulations. None of these challenges are solved by picking a stronger cipher. They are solved by discovering your data and cryptographic assets first, designing key management and algorithm policy deliberately, and building in the agility to change course when standards shift. Encryption Consulting has helped organizations work through each of these challenges for years; if you want a second opinion on where your encryption program stands, contact us at [email protected].

References

• NIST SP 800-57 Part 1 Revision 5, Recommendation for Key Management: General: https://nvlpubs.nist.gov/nistpubs/specialpublications/nist.sp.800-57pt1r5.pdf
• NIST SP 800-131A Revision 2, Transitioning the Use of Cryptographic Algorithms and Key Lengths: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-131Ar2.pdf
• NIST IR 8547 (Initial Public Draft), Transition to Post-Quantum Cryptography Standards: https://nvlpubs.nist.gov/nistpubs/ir/2024/NIST.IR.8547.ipd.pdf
• Federal Register, Announcing Issuance of FIPS 203, FIPS 204, and FIPS 205 (August 2024): https://www.federalregister.gov/documents/2024/08/14/2024-17956/announcing-issuance-of-federal-information-processing-standards-fips-fips-203-module-lattice-based
• PCI Security Standards Council, PCI DSS v4.x Resource Hub: https://blog.pcisecuritystandards.org/pci-dss-v4-0-resource-hub