Production data is the most valuable thing your operation possesses and the most valuable thing an adversary can steal, control, or manipulate in the AI age. Static, “at rest” stored data is like milk in the fridge: it matters, but it does not get more appealing over time. Production data is a fresh batch of chocolate chip cookies: everyone wants it, and they want it while it is warm, useful, and ready to monetize.

If you’re renewing legacy database encryption, the question is no longer whether you encrypt, but whether you’re prioritizing the correct encryption approach. If your production data is still readable during use, the answer is obvious.

Legacy encryption protects where data rests, while attackers win where data becomes money: in production plaintext. If “encrypt at rest” solved this, we would be writing victory laps, not breach reports.

Legacy database encryption and compliance was built for a simpler world, where “encrypt at rest” was treated as the finish line. In 2026, compromise looks like borrowed identity, hijacked sessions, vendor access, and AI-assisted automation. Microsoft’s Digital Defense Report 2025 describes how threat actors are already using AI to scale phishing and accelerate exploitation, and the World Economic Forum’s Global Cybersecurity Outlook 2026 highlights how geopolitics and supply-chain complexity compound the risk.

So, if production data is the warm cookie, the question is simple: why is it still so easy for anyone to grab?

Before you read another word, do a quick gut-check. Does your primary encryption control stop at TDE or storage-layer encryption? Are sensitive fields being toughed by apps, analytics, APIs, vendors, contractors, or AI pipelines right now—today—in plaintext? Are you piloting AI or RAG workflows against operational datasets? Do you know, with confidence, that your threat actors are outside the walls and not already moving laterally inside them? This isn’t a polygraph test, but if you’re really doing an honest gut-check, what does your honest, cybersecurity gut say?

If you hesitated while processing any of those questions, keep reading.

Because the risk is not in your dark, encrypted basement. It is in the plaintext house party happening upstairs, thousands of times per minute, across every high-value operation your business runs…sales, lending, customer service, identity validation, claims processing, benefits review, and every workflow that makes your organization worth targeting in the first place.

Legacy database encryption implementations and renewals are proving to be ineffective. The industry keeps spending more, yet attackers keep collecting. FBI IC3’s 2024 report logged more than $16B in reported losses. Meanwhile, Gartner forecasts global information security and risk management spending reaching $213B in 2025, and IBM’s Cost of a Data Breach research continues to show U.S. breach costs continuing the march to new record levels.

Why production data is still not encrypted

Most organizations have reasons. Some are legitimate. Many are legacy bias wearing a lab coat. And a lot of it is the same story: the disk is encrypted in the basement, while the plaintext throws that house-party upstairs.

• • “We already encrypt.” (Translation: We meet minimal compliance which requires data at rest and in transit—still at rest, just in a container, and only when sent outside the controlled network—to be encrypted)
  • “Migration is too complex.” (Translation: True. So is explaining a breach to your board or testifying in front of a jury.)
  • “We need discovery and classification first.” (Translation: Also, true. This has proven to be a never-ending project. Hint: A good place to start is upon the data you already know. The Vikings sent out explorers while securing the homeland.)
  • “We cannot sacrifice performance.” (Translation: Great. Neither can the adversary. They have optimized too. I promise you, a breach will immediately stop performance/growth/consumer confidence/trust/efficiency/funding dead in its tracks.)
  • “Our architecture cannot change.” (Translation: We are trapped in technical debt. Adversaries love it when you can’t “change”. A contract will not fix physics. Maybe change is exactly what is needed, right now, before a breach forces change.)
  • “We outsource our data operations to “X”. (Translation: True, but no bueno. It’s 2026, time to accept you can outsource operations, you can’t outsource accountability. You MUST require that your vendor partners are doing more to protect data than you could possibly do. That’s why you hired them in the first place. Now, if you’re a data platform or third-party vendor that processes critical data for your clients, don’t be the reason your client got breach, be the reason your client wasn’t breached.)

Every one of these objections amounts to leaving fresh, warm cookies on an open windowsill, all the while debating whether to buy a better lock for the basement. Yes, you need a lock on the basement, but it does little to protect your cookies.

Why production data is absolutely, positively, 110%, the most vulnerable

Production data is hot by design. It is being queried, joined, streamed, cached, indexed, exported to partners, and fed into analytics. Legacy “encrypt at rest & encrypt in transit” does nothing meaningful to protect the moment data must be used/processed within the growing cyber footprint. Every airline realizes that having planes a list of former customers (static data) doesn’t make money. Selling tickets (data in process) is where the money is made.

In other words: the data is safest when it’s at rest and of least value, and most vulnerable when it is at its highest value, in production. That is not a comforting security model for any company that intends to maintain stable, trusted, high-value operations.

1. Simple production data usage patterns that create the most exposure

• • High query velocity (create, read, update, and delete (CRUD) operations, analytics lookups, AI operations, and API-driven access)
  • Replicas everywhere (read replicas, reporting stores, ETL staging, operational data lakes)
  • Transient exposure (memory, temp tables, logs, and search indexes)
  • Broad privilege surface (DBAs, SREs, developers, data teams, contractors, vendors, day-to-day operations staff)

2. AI expands both data exposure and attack capability

Just as you thought you were getting control of the data landscape, AI immediately increased risk in two directions at once:

• • It multiplies sensitive data capture and usage (prompts, RAG pipelines, embeddings, agent workflows).
  • It accelerates adversaries (faster recon, better phishing, multi-stage attack automation).

*Microsoft notes that threat actors are already using AI to scale phishing and speed exploitation of production data. See Microsoft Digital Defense Report 2025.

3. Post-quantum is a clock, not a vibe

Even before cryptographically relevant quantum computers arrive, “harvest now, decrypt later” (HNDL) is rational. NIST has finalized its first post-quantum standards (FIPS 203–205), and crypto transitions take years, not weekends. NIST’s PQC program is already moving through the implementation phase. In other words, you’re already behind and waiting to see what happens isn’t a viable strategy.

Why access and authentication controls are not enough and will never be “enough”

Identity controls are necessary, not sufficient. They are essential. They are also not a miracle force field. The easiest breach path is rarely “break the math.” It is usually “borrow the identity.” Attackers do not break the math most days. They just log in. When they can’t log in, they find a vendor gap to exploit and get in anyhow. It’s rude, but very efficient.

• • Credential theft and session hijacking
  • Employee and contractor manipulation – If you have staff who are concerned about their financial future… They’re a target!
  • Insider misuse (malicious, coerced, or careless)
  • Supply-chain access (vendors, integrators, contractors)
  • Admin misconfigurations
  • Delayed or missed patch updates
  • Right now, geopolitics and economic uncertainty are increasing/fueling threat actor activities

The WEF report calls out accelerating risk driven by AI, geopolitical fragmentation, and supply-chain complexity. Global Cybersecurity Outlook 2026 (PDF).

Who wants your production data

Spoiler alert…Everyone. Not because they are curious. Curiosity doesn’t pack crypto wallets or pay affiliates. Production data is quickly monetizable, coercible, and operationally disruptive. Typical adversaries include:

• • Ransomware operators (extortion plus resale)
  • Criminal marketplaces and fraud crews (ATO, synthetic identity, claims/payment fraud)
  • Nation-state or state-aligned groups (espionage, disruption, leverage)
  • Corporate espionage actors (pricing, contracts, roadmaps, customer lists) – Technology competitors (mostly nation-state actors in countries where IP law doesn’t really apply)
  • Abusive insiders (disgruntled employees, outward transitioning sales reps, privileged access turns into “just downloading”)

What you get when you encrypt production data

• • Make exfiltrated data materially less valuable to attackers – If the data stolen is encrypted, it’s considered “safe harbor under most compliance. With the right encryption solution, even harvest now, decrypt later (HNDL) is useless.
  • Shrink breach impact and response cost (especially for regulated data)
  • Reduce third-party vendor blast radius
  • Enable AI safely by minimizing plaintext exposure in prompts and retrieval
  • Improve resilience when identity controls fail
  • Acceptable risk becomes a manageable reality – Defense-in-depth efficacy is greatly improved across all layers, while reducing complexity.
  • Deeper zero-trust controls, including within AI and Agentic AI use cases

IBM’s 2025 Cost of a Data Breach research highlights the financial impact of breaches and the rising cost profile in the U.S. IBM Cost of a Data Breach Report 2025.

How Paperclip SAFE® Advanced Encryption Platform addresses these concerns

We know what you’re thinking: another vendor saying their solution is different. Here’s what makes the difference material.

Paperclip SAFE is specifically designed to keep high-value, sensitive data encrypted across the entire lifecycle, from at rest through the production stack (in-use). In technical terms, SAFE is a Privacy Enhancing Technology (PET) that allows for calculations (CRUD, queries, SMPC, and zero knowledge proofs) upon encrypted data while the data remains encrypted. SAFE is a post-quantum resistant technology that integrates at the operational application layer via an OpenJSON API without disrupting end users, architectural design, and reduces the complexity.  For the last three plus decades we have told engineers that data must be decrypted to be processed (in-use). As a result, technologies and data security strategies were built around the limitations of legacy encryption. That was the past, cybercrime has evolved, it’s time for your encryption approach to evolve. For context, see SAFE overview and SAFE searchable encryption architecture details.

SAFE Platform capabilities (production, archives, and integration)

• • Production data protection with encryption-in-use (search, filter, and analytics on protected data) – Production applications and AI integrations no longer force plaintext exposure as they operate upon always encrypted datastores.
  • Archive protection for long-term retention and “harvest now, decrypt later (HNDL)” risk – This activity relies on quantum power to eventually crack the encryption. SAFE is quantum resistant now and cryptographically agile to meet future demands.
  • Encryption-by-design integration patterns that reduce app rewrite pressure – SAFE is implemented in-line with the data lifecycle from application through storage without disrupting end users or network architecture.
  • Third-party vendor risk reduction through policy-controlled access to decrypted values – Vendors who require access to sensitive, controlled data only get access to what they need, and only with authorized and logged approval. All other data remains encrypted.
  • AI and agentic AI enablement with minimization and auditable access controls – AI is treated as a non-human identity (NHI) and privileged access is assigned only as authorized, and only to data required for the assigned task.
  • Crypto-agility and post-quantum readiness planning – SAFE is not an encryption algorithm and is not tied to a specific cryptography. Currently SAFE utilizes AES 256, dual key schemas. As new cryptography becomes available, proven, and necessary, SAFE can quickly assimilate the new algorithms through key vault updates.

Why now: The renewal trap (1, 3, and 5-year threat reality)

The next 12 months (2026-2027): Faster, cheaper compromise as adversaries evolve

Expect more AI-assisted phishing, faster exploitation, and higher-volume credential abuse. Microsoft documents AI-automated phishing and multi-stage attack chains; vulnerability volume is also trending upward. The compromise is faster, cheaper, and more automated every quarter, which is why “we will revisit next year” keeps failing as a strategy.

Reference: Microsoft Digital Defense Report 2025; CVE volume forecasts (IT Pro, 2026).

The next 3 years (2026-2029): Agentic automation and supply-chain drag

AI adoption will keep expanding data touchpoints, while ecosystem complexity increases vendor and integration risk. WEF highlights supply-chain complexity and geopolitical fragmentation as compounding factors. Identity is necessary, not magic, and vendor access keeps multiplying because modern business keeps outsourcing reality.

Reference: WEF Global Cybersecurity Outlook 2026.

The next 5 years (2026-2031): Crypto transition pressure and harvested data risk – The rise of quantum

PQC standardization is moving from theory to implementation. Data harvested today can be held for future decryption attempts. A five-year legacy encryption contract will become a straitjacket when cryptographic requirements shift. A five-year renewal does not reduce risk. It just locks in the same assumptions for longer. Adversaries feed off your inability to pivot due to contractually committed technology paralysis.

Reference: NIST PQC announcement (Aug 2024); FIPS 203; FIPS 204; FIPS 205.

Quick takeaway for renewal and “refresh” decisions

If your database encryption renewal or solution refresh only covers “at rest” or storage-layer encryption, it does not eliminate plaintext exposure during high-value production. Advanced encryption-in-use shifts the outcome when networks are compromised, vendors are breached, or AI expands data access. Encrypt production data to protect your clients, your employees, your partners/investors, your financial status, and your organization.

The spending mismatch: security spend is up, losses are up, and plaintext exposure still wins

Organizations have poured money into security controls for years. Yet reported losses and breach impacts remain stubbornly high. The problem is not that encryption is pointless. The problem is that legacy database encryption is built to protect static data storage, leaving production data readable during normal use, exactly when attackers (or compromised identities and vendors) strike.

• • FBI IC3’s 2024 Internet Crime Report recorded a new high in reported losses: about $16.6B (with FBI’s summary noting losses exceeding $16B and a 33% increase over 2023).
  • Gartner projects worldwide end-user spending on information security will reach $213B in 2025 (up from $193B in 2024) and climb to $240B in 2026
  • IBM’s Cost of a Data Breach Report 2025 highlights the financial reality: average breach costs in the U.S. hit a record $10.22M.
  • Macro estimates underscore the scale: Cybersecurity Ventures forecasts global cybercrime costs reaching $10.5T annually by 2025 (estimates/forecasts, not audited totals).

Rising spend does not automatically reduce risk when your core records are still readable within production workflows. Paperclip’s SAFE Advanced Encryption Platform changes the outcome when identity fails, vendors get popped, adversaries hunt within your network, or AI expands data access.

The decision: Stop renewing exposure—Don’t get trapped in the past while the threat feeds on your tomorrow

If a renewal keeps sensitive production data readable during normal operations, it is not closing your biggest gap. It is funding it, feeding it like an unlimited cookie jar in a room full of hungry 13-year-olds. Legacy encryption can be necessary, but it is no longer sufficient in an AI-accelerated threat landscape and an imminently approaching post-quantum planning horizon. SAFE’s advanced encryption platform changes the outcome when adversaries prey on users, employees, network gaps, operational processes, vendor exposure, and the thousand other ways rapid innovation beats complacency built upon status quo contract decisions.

Renewals and refreshes are dangerous when they don’t track the threat landscape. If they only buy you the comfort of consistency with a new contract date, you’re sowing fields threat-actors will reap. A contract date is not a security control. It is a calendar event.

Take action before your next renewal cycle

• • Run a production plaintext exposure assessment (queries, caches, replicas, logs, indexes). Understand how much high-value, critical data is unencrypted—Sitting behind a firewall, access controls, DLP, SOC monitoring, or other technologies, just aren’t good enough (proven fact). If the data is unencrypted, it’s fully exposed.
  • Ask: When was the last time we reviewed database encryption technologies? Why?
  • Require encryption‑in‑use for new AI/RAG/agent initiatives touching operational datasets.
  • Pilot SAFE on a high‑value dataset first, then extend to archives for long‑term retention risk.
  • Make crypto agility a contract requirement (so PQC transitions are a plan, not a panic).
  • In a world of constant change, change is a powerful advantage. Control the advantage before an adversary controls advantage over you.

FAQ: Database encryption renewals in the AI era

Is Transparent Data Encryption (TDE) enough?

TDE helps with lost media and some compliance requirements, but it doesn’t stop breaches where attackers use valid credentials to read production plaintext during normal operations. If data must be decrypted to be used, attackers target the “in use” moment.

What is encryption-in-use (searchable encryption)?

Encryption-in-use extends protection into processing. Applications can search and retrieve policy-approved results while sensitive fields remain encrypted in the datastore, reducing plaintext exposure across queries, APIs, analytics, and AI workflows.

How does encrypting production data help when identities get stolen?

When an attacker logs in with stolen credentials, they typically receive whatever your systems normally return: plaintext. Production data encryption changes the outcome by making exfiltrated data materially less useful, even when access controls fail.

What does “harvest now, decrypt later” mean?

It’s the strategy of stealing encrypted data today and storing it until decryption becomes feasible later (for example, as cryptography transitions or quantum capability advances). Long retention data makes this risk rational, which is why crypto agility and PQC planning matter now.

What should procurement require in a database encryption RFP?

Ask how the solution reduces production plaintext exposure (not just storage encryption), how it handles AI/RAG use cases, how it limits vendor blast radius, and how it supports crypto agility for post-quantum transitions.

References and Resources