2026 & Beyond: Your Data Encryption Strategy is Begging for Disruption

By: Megan Brandow On:

For the past decade, organizations have repeated the same story: “We encrypt data at rest and in transit. We’re secure.” In 2026, that narrative is crumbling.

What once seemed like comprehensive protection now looks dangerously incomplete. Data is more dynamic, more frequently exposed in plaintext, and more vulnerable than ever before. The startling breach statistics, their impact, and the mounting costs of exposed data tell an undeniable story. Without fundamentally rethinking our approach to encryption, we’re facing a cascade of consequences: multimillion-dollar losses, skyrocketing insurance premiums, and the continued erosion of consumer trust. Perhaps most critically, organizations are leaving unrealized value on the table.

The landscape has shifted dramatically. AI systems and agentic AI agents are routinely pulling sensitive data into prompts, embeddings, vector stores, and autonomous workflows. Shadow AI projects are quietly scattering critical information across unvetted SaaS platforms. Meanwhile, regulators have moved beyond being impressed by “AES-256 at rest,” and attackers have identified the glaring gap in traditional encryption strategies: data in use, the production data powering your business operations.

The question facing CIOs, CISOs, and database administrators has evolved. It’s no longer “Do we encrypt?” Encrypting data at rest and in transit has become table stakes. The real question now is: “Can we keep data encrypted while it’s actively being used by production applications, AI systems, agentic AI, and third-party platforms?”

This is the challenge Paperclip SAFE® is designed to solve for highly regulated organizations.

 

The 2026 Reality Check: Encryption Is Being Rewritten

  1. AI, Agentic AI, Shadow AI, Data Migrations & Production: Plaintext Everywhere

Your data is no longer sitting quietly in a database. It’s being:

        • Fed into GenAI models for summarization, recommendations, and copilots
        • Copied into vector stores, analytics engines, and caches
        • Pasted into unapproved AI tools by well-meaning employees trying to move faster
        • Migrated for production, third-party platforms, e-discovery, and new datastores (archives, backups, etc.)

Traditional at-rest encryption does nothing once that data is decrypted for search, training, production, or inference. Every new AI, Agentic AI, and production workflow expands the surface area of exposed plaintext.

Advanced encryption flips that model: data remains encrypted even while its being searched, queried, or analyzed. That’s the only sustainable way to let anyone, including AI work with critical data without turning your environment into a breach buffet.

  1. PET: The Stack Is Moving Underneath You

Privacy-Enhancing Technologies (PETs) have moved from research decks into real services.The direction of travel is clear:

        • Sensitive workloads should run where data is always encrypted
        • Security architects must assume internal threat actors
        • Encryption needs to be part of the compute path, not just the static storage layer

What’s been missing is a practical data layer that keeps data encrypted, supports search, CRUD (Create, Read, Update, Delete), and integrates with production applications without rewiring everything or disrupting the end-user process.

That is the gap advanced encryption is designed to fill. This is the ultimate PET, adding Privacy Enhanced Computation (PEC).

  1. Regulation That Now Bites

DORA, NIS2, PCI DSS 4.0, emerging data sovereignty rules, and new privacy regimes are converging on the same expectation: data protection must be data-centric, not perimeter-centric.Regulators now expect you to:

        • Demonstrate protection at the level of specific data elements and data flows
        • Prove that third-party processors and cross-border workflows rely on strong technical controls, not promises or vague checkboxes
        • Show how residual risk and breach impact are reduced by design
        • Prove data segmentation, minimization, and sovereignty

“We encrypted the disk” is no longer enough when the real risk sits in how plaintext is exposed to production applications, AI, administrators, integrators, third-party datastores, and offshore service providers.

  1. Breach Economics & AI-Driven Attacks

By 2025, the breach story is quantified in painful detail. IBM’s 2025 Cost of a Data Breach report pegs the average global breach at approximately USD $4.4 million. Globally, that’s a slight decrease from 2024’s record high, but still more than enough to crater a budget every time an incident occurs. If you’re wondering, in the U.S. the average cost of a data breach is pegged at USD $10.22 million which is a 9% increase over 2024.The Identity Theft Resource Center’s latest analysis shows 2,563 publicly reported data compromises in 2025 through Q3, resulting in almost 202 million victim notices. Proton’s Data Breach Observatory, which tracks stolen data directly on the Dark Web, has already identified hundreds more incidents, with over 300 million records exposed so far this year. Most of that information is immediately usable to attackers: email addresses, names, passwords, Social Security numbers, healthcare information, credit card and banking account details.

And those statistics sit on top of the known mega-incidents where a single breach can expose billions of records or tens of millions of fully readable customer profiles, complete with Social Security numbers and contact data.

In practical terms, 2025 has already delivered billions of compromised records, most of them effectively in plaintext from an attacker’s perspective. At-rest encryption did its job; the damage happened where the data was actually being used.

That’s the reality CISOs and CIOs are accountable for in 2026 and beyond. Boards are no longer impressed by how secure the storage layer used to be. They want to know how much of the data remains useless to attackers when the perimeter fails.

  1. Multi-Cloud & Data Sovereignty Chaos

Most enterprises are now running workloads on multiple clouds, holding regulated data across several jurisdictions, and integrating with a long tail of SaaS and data providers. Each environment ships its own encryption model, key management approach, and shared responsibility matrix.What’s missing is a consistent advanced encryption layer that travels with the data, not with the vendor:

        • One model for how sensitive data is encrypted, indexed, and accessed
        • One place to apply policy and key management, even when data is distributed
        • One approach that can satisfy both performance requirements and compliance expectations
        • One point to manage zero-trust through to the core data layer

Encryption that is bound to a single database engine or cloud provider won’t survive this level of fragmentation.

 

What “Advanced Encryption” Actually Means Now

In this new landscape, “advanced encryption” is not just a stronger cipher. It is a long overdue evolution in encryption technology:

      • At-rest, in-transit, and in-use protection working as a unified model keeping critical data secure in all three states
      • Searchable Encryption, or Encryption-in-Use so you can search, filter, edit, and join on encrypted data without exposing it
      • Data-centric scope: field-level, record-level, production level, tenant-aware, and policy-driven
      • Cryptographic agility and post-quantum readiness so algorithms and keying schemes can evolve over time
      • Developer-Data Security-and DBA-friendly integration that increases security posture, and preserves query patterns and operational performance instead of breaking everything

Technically, Advanced Encryption provides the ability to perform calculations on encrypted data while that data remains encrypted.

Paperclip SAFE was built on exactly these assumptions.

 

Enter Paperclip SAFE: Encryption Where Data Is Actually Valuable

Paperclip SAFE is an Advanced Encryption platform designed to keep data encrypted across its lifecycle while still letting your business use it for as needed and as authorized production and AI purposes.

At a high level, SAFE:

      • Ingests data and immediately shreds, deduplicates, salts, hashes, encrypts, and indexes it
      • Maintains searchable, privacy-preserving indices that let you perform searches and operations upon encrypted data
      • Supports create, read, update, and delete operations without exposing raw plaintext to infrastructure, databases, the public internet, or cloud providers
      • Eliminates the process of decrypting data and moving it to memory to support production and processing—stop exposing data—it’s no longer “acceptable risk”
      • Integrates directly with your existing applications, and aligns with databases and content systems with minimal disruption to workflows, and zero disruption to end-user activities
      • High-speed, near-native performance measured in milliseconds

SAFE is the answer to a simple but brutal question:

“How do we stop pretending encryption interferes with operational production, and protect the data where it actually lives: in use?”

 

How SAFE Aligns With the “Disruption” Ahead

  1. AI & Agentic AI: Feed Models Without Feeding Controlled Plaintext

With SAFE in the path of your AI workflows:

        • Source data is encrypted on ingestion and stays encrypted at rest, in transit, and in use
        • Automates data segmentation so private and critical data is separated from non-critical data
        • Applications and AI services interact with SAFE-protected APIs and indices, not raw, plaintext tables
        • You can build RAG, copilots, and analytic engines that operate on encrypted content while preserving performance and relevance
        • AI is treated like a non-human identity (NHI) with zero-trust controls through to the database layer

For the CIO, this means you can continue to scale AI without constantly expanding the blast radius of exposed plaintext.

For the CISO, it means AI becomes another managed consumer of encrypted data, not a parallel universe of data risk.

For the DBA, it means keeping query semantics and operational patterns intact while the underlying data is protected.

  1. Built for Data Compliance Such as DORA, NIS2, PCI DSS 4.0,, GDPR, HIPAA, SEC, FINRA, CCPA and Future Rules

SAFE is data security and doesn’t try to just be a regulation checklist. More importantly, SAFE gives you the data security and technical posture regulators increasingly expect:

        • Data-centric controls: encrypt sensitive fields and records while preserving their usability
        • Segregation of keys and roles aligned with “data holder vs. processor” models and least-privilege access—Zero-Trust to the core
        • Provable reduction in breach impact: exfiltrated data is encrypted and indexed, not in the clear—Data Safe Harbor

When auditors, regulators, or boards ask how you protect critical data assets across complex supply chains and AI workflows, SAFE lets you give a technically credible answer and proof, instead of just a compliance slogan.

  1. Breach Containment by Design

With SAFE deployed:

        • Attackers who gain unauthorized access to storage, infrastructure, or backups encounter encrypted and indexed data, not live records
        • Key rotation and crypto-shredding render compromised datasets unusable without rewriting the application stack
        • Reduced Blast Radius: Segmented encryption policies limit how much any single compromise might reveal

CISOs can translate SAFE adoption directly into lower breach impact scenarios and more resilient incident response plans.

  1. Multi-Cloud & Data Sovereignty: One Encryption Model, Many Environments

SAFE is designed to sit above any particular cloud, database, or storage platform:

        • A consistent encryption-in-use and searchable encryption layer across environments
        • Centralized policy and key management that can respect jurisdictional boundaries
        • Flexibility to support SaaS, on-prem, hybrid, and sovereign cloud strategies

CIOs get a way to standardize data protection in environments that are anything but standardized.

  1. Crypto-Agility & Post-Quantum Readiness

“Future-Proof”: SAFE is engineered with cryptographic agility in mind:

        • Post-Quantum Resistant Now: SAFE leverages multiple layers of security and encryption from patented shredding technology through dual-key controlled strong AES 256 cryptography
        • Crypto-Agility: Pluggable cryptographic components to support evolving standards such as developing post-quantum ready algorithms without rearchitecting applications
        • A design that assumes long-lived datasets will outlive today’s cryptographic defaults

When your board or regulators start asking about quantum risk, SAFE lets you answer from a position of preparation and control, rather than panic and uncertainty. Stop answering with: “Don’t worry, we have time and we’ll figure it out.”

  1. Designed for Developers, Engineers, and DBAs, Not Against Them

The fastest way to kill any security control is to make it painful for DBAs, security architects, and engineers.SAFE is structured to keep developers, architects, engineers, and DBAs productive:

        • Production applications continue to read and write via familiar patterns, while SAFE handles encryption and indexing
        • Query performance is engineered to remain practical for real, on-demand workloads
        • Integration pathways are designed to minimize code changes and avoid invasive rewrites

Security teams get stronger controls; DBA, engineering, and operations teams keep their sanity.

 

Priced to Replace Legacy Encryption, Not Sit Beside It

Most “advanced encryption” solutions quietly assume seven-figure projects and multi-year migrations. Paperclip took a different route.

Paperclip SAFE is priced to replace legacy database encryption, not just bolt onto it.

    • Entry pricing starts at $6,720.00 per year for a multi-tenant SaaS cloud model*
    • This makes SAFE a realistic option for:
      • Replacing aging at-rest-only encryption in core applications
      • Protecting specific high-risk data domains such as claims, portfolios, member data, medical records, loan details, and cardholder data, even data archives
      • Piloting encryption-in-use and searchable encryption in targeted AI or analytics initiatives

When the average breach runs into millions and compliance penalties are rising ($10.22 million per breach in the U.S.), a SAFE subscription (as little as $0.007 per record/per year) is not a new cost center. It is a deliberate trade: a small, predictable investment to remove enormous downside risk.

For CIOs and CISOs, this makes SAFE straightforward to justify at renewal cycles and in board-level risk discussions.

For CFOs and CEOs, this is economically sound organizational resilience. Depending on the organizations deliverables, SAFE may create a value proposition or differentiator aligned to securing new clients at higher revenue.

For DBAs and data platform owners, it enables moving off brittle, home-grown, or vendor-locked encryption features without blowing up budgets.

*$6,720.00 per year is for a multi-tenant SaaS cloud model hosted in the Microsoft Azure cloud. Includes up to 1 million records (structured data), 10 concurrent users, both data holder and data owner Azure key vaults, and implementation support. Unstructured content (documents) and encrypted archives can be added for an additional subscription fee. Dedicated SaaS, on-premises, and platform integration subscriptions and licensing plans are available.

 

2026 and Beyond: From “Nice to Have” to Non-Negotiable

The data encryption market is being reshaped by forces you don’t control:

      • AI, Agentic AI, and Shadow AI
      • PETs and confidential computing
      • New regulatory baselines, threat activity, and breach expectations
      • Multi-cloud complexity and emerging Post-Quantum Risk

You do control how your organization responds.

Paperclip SAFE is built for the world where advanced encryption, and data-centric protection are no longer edge cases but the expected/required minimal standard.

If your current strategy is still built on “we encrypt the database,” 2026 is your signal to move. SAFE gives you a realistic path:

      • From at-rest-only to true advanced encryption
      • From plaintext-dependent workflows to encrypted-by-default and secure-by-default operations
      • From fragile, one-off patterns to a repeatable, scalable, enforceable data protection model

Encryption had its first act securing disks, endpoints, devices, and links.
The second act is about securing the core data itself while the business uses it to scale, gain knowledge, provide additional services, and drive revenue.

Paperclip SAFE is engineered for that act. Explore SAFE advanced encryption at paperclip.com/safe.

 

What’s Next?

If you’re thinking, “This all makes sense; how can I convey this to my board?”

Here is a summarized board brief that captures the key tenets of this blog post.