One engine. One set of keys.

Not DLP. Not DSPM. Targeted protection embedded in the data so it travels with every file, every stage it moves through.

The life of one protected file

Discover →Shield →

At rest

Classify it. Protect it. Lock it down.

Discover →Shield →

Pipeline →Migrate →

In motion

Protection applied as data moves.

Pipeline →Migrate →

Exchange →Spaces →

In transit

Share externally. Control what opens.

Exchange →Spaces →

AI Guard →

In use · AI

AI reads context. Not your secrets.

AI Guard →

AI Guard →AI Guard →

Wherever the data goes, protection goes with it, whether it's at rest, in motion, in transit, and in use.

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Why a platform, not a point tool

Most security guards a location. Your data never stays in one.

A file is copied, sent, synced, and fed to a model, crossing every boundary a perimeter tool was built to defend. The moment it leaves the location, the protection stops. Confidencial moves protection into the file, so it never detaches.

Location-based

Protection lives in the walls

Encryption is bound to the disk, the drive, or the network. The file inherits protection only while it sits inside. Move it, and it walks out in plaintext.

Inside

Exposed

Lock detaches at the boundary

Data-centric

Protection lives in the file

Encryption is embedded at the object level and bound to identity. Wherever the file travels, the lock travels with it, and only the right identity can open it.

Source

Anywhere

Lock stays attached, end to end

3 PROTECTION MODES

The right control for every data type. Defined by you.

Encryption, redaction, and tokenization. Each maps to a different regulatory requirement, risk profile, and use case. Applied at the field level, defined by policy, and auditable at every step. Most tools give you one mechanism. This gives you the right one.

ENCRYPTION

Sensitive field locked. Document stays usable.

Only the protected field is ciphertext. Access controlled by identity and policy, wherever the file travels.

REDACTION

Value destroyed. Not masked. Gone.

The sensitive field is permanently deleted from the file. Document structure and surrounding content are fully preserved.

REVERSIBLE TOKENIZATION

Context preserved. Value protected.

Sensitive values become structured placeholders in the same format, with no real data. Fully recoverable by authorized users and safe for AI pipelines.

The architecture

The same engine. Underneath everything.

Stitch tools from different vendors and protection turns inconsistent at the seams, and the seams are where breaches become disclosures. Every Confidencial product runs on one engine: same keys, same policy model, same audit trail. Add a surface or swap a perimeter vendor, and none of that changes.

Every product — one core

Discover

Shield

Pipeline

Migrate

Exchange

Spaces

AI Guard

Confidencial Engine

Object-levelCrypto-agileOne key set

OBJECT-LEVEL PROTECTION

Applied at the word, cell, or paragraph, rather than the folder or the disk. Format preserved, native apps still work.

CRYPTO-AGILE | PQC-READY

Algorithms change without re-encrypting data. NIST ML-KEM and ML-DSA arrive as a container image, with no migration required.

ATTRIBUTE-BASED ACCESS

Policy is embedded in the data. Decryption is evaluated against identity at the moment of access, wherever it happens.

Add a surface. Nothing breaks.

Every new product plugs into the same engine: same keys, same policy, same audit trail. No integration debt.

Swap a vendor. Nothing changes.

Protection isn’t tied to any edge tool. Replace e-sign, change cloud storage, or adopt a new AI platform. The engine doesn’t notice.

One audit trail. Across everything.

Every access event, policy change, and protection decision logged in one place. When the regulator asks, you have one answer.

Integration

Complements your stack. Fills the gap it left.

Confidencial isn’t a rip-and-replace. It runs alongside the tools your team already uses and adds the one layer none of them were built to provide including cryptographic protection that travels with the data.

Identity providers

Plugs into Okta, Microsoft Entra ID, and any SAML/OIDC IdP. The same users and roles that govern system access govern data-level decryption. No new directory, no new access model.

Classification & DSPM tools

Reads existing sensitivity labels from Microsoft Purview, Varonis, BigID, and others, then turns those labels into cryptographic enforcement, not just descriptions.

AI & productivity platforms

AI Guard sits at the data layer before ingestion into RAG pipelines, fine-tuning workflows, and agentic systems. Any pipeline reachable via API can use it. The model sees context. Not your sensitive data.

Immutable audit trail

Every access, transfer, and policy change is logged at the file level and mapped to identity, location, and time. The trail travels with the data across systems, recipients, and environments. Not a SIEM log. Not a folder-level report. A chain of custody per document.

Exchange · Pipeline · Migrate

3weeks to go-live

IdP integration, key-server setup, send/transfer validation, org-wide rollout.

Discover · Shield

6weeks to go-live

No agents required for discovery. Data never leaves your environment, regardless of whether it's in the cloud, on-prem, or hybrid.

AI Guard

6weeks to go-live

End-to-end retrieval validation, obfuscation config, embedding-pipeline configuration.

Why CISOs choose Confidencial

Four conversations we can help security leaders win.

Not a technology pitch. The actual moments that define your year.

AI Enablement

The business wants to use AI. You're the one saying no.

Every AI initiative lands on your desk. The risk isn't theoretical. Employees are already pasting sensitive data into public models.

Sensitive fields stay encrypted through every pipeline. The model works. The data stays protected. You become the person who said yes.

Board Accountability

They ask what the attackers got.

The breach happened. The call is scheduled. Every legacy breach scenario fears this moment.

Your answer: nothing readable. Confidencial is the difference between a crisis and a non-event.

Regulatory Audit

The regulator wants proof of controls.

SOC 2, HIPAA, ISO - every audit cycle is a scramble to prove controls exist. Policy documents aren't proof.

Cryptographic attestation travels with every file. The proof is in the data, not a spreadsheet.

Quantum Readiness

Your board just read about post-quantum threats.

The question is coming. Harvest-now-decrypt-later attacks are already happening. Sensitive data encrypted today is at risk tomorrow.

Crypto agility is built in. Swap algorithms without re-encrypting. NIST-approved ML-KEM and ML-DSA. You're already ready.