Fully Homomorphic Encryption & Compliant Privacy | ACM Global Tech

Privacy & FHE

Compute on encrypted data. Stay compliant.

Fully homomorphic encryption and threshold FHE let you run analytics and risk on data that is never decrypted, with regulator-grade disclosure when required. Confidentiality and auditability stop being a trade-off.

The tension

Confidentiality or auditability, never both.

Institutions need data kept private and a clear record an examiner can trust. Today they pick one. Plaintext data sitting in analytics pipelines is a standing liability, and privacy that no one can inspect fails the audit. The right answer is both, by construction.

Plaintext

Data is a liability

Every system that decrypts data to use it widens the blast radius of a breach and the surface a regulator scrutinizes.

Opacity

Black-box privacy fails examiners

Privacy that cannot be inspected or disclosed under lawful process does not satisfy supervisors. It shifts risk rather than removing it.

Third parties

Sharing breaks the wall

Analytics, vendors, and partners each need access to compute. Every copy decrypted for them is a new place to lose control.

Disclosure

Lawful access still required

Confidentiality cannot mean immunity. The system must produce data under a valid order without a permanent backdoor.

What we deliver

Privacy you can run, disclosure you can prove.

A working cryptographic stack for computing on data that stays encrypted, with compliance built into the same system rather than bolted on after.

Fully homomorphic encryption

Run computation directly on ciphertext with TFHE, CKKS, and BGV/BFV. Data is never decrypted to be used.

Threshold FHE

Distributed decryption across a quorum, with no single key holder who can unilaterally see the data. This is the frontier, and the hardest part.

Compliant disclosure

A regulator forced-decryption quorum reveals exactly what a lawful order requires, recorded and auditable, with no standing backdoor.

Privacy pools

Compliant transaction privacy that shields participants while preserving the ability to prove legitimacy and exclude illicit funds.

Zero-knowledge proofs

Prove a statement is true, such as a balance, an eligibility, or a policy check, without revealing the underlying data.

Encrypted analytics & risk

Scoring, aggregation, and risk models that execute over encrypted inputs, so insight never requires exposure.

The proof

Proprietary IP. Open source. Peer-reviewed.

Real cryptography you can read and verify, not slideware.

40+ proprietary innovations

Across fully homomorphic encryption, threshold cryptography, and confidential computing.

Open-source FHE

The FHE primitives are published in the open, so the cryptography can be audited rather than trusted on faith.

Peer-reviewed research

Threshold FHE for regulatory compliance and TFHE, developed in the open and grounded in published work.

Make privacy and compliance the same system.

License the IP, resell it under your brand, or co-build with our team. Deployable into any regulated market.

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Ecosystem Partners

Backed by a world-class ecosystem

ACM Global Tech is an ecosystem partner of Hanzo.ai and Lux Network and a member of the W3A (Web3 Alliance), pairing enterprise-grade agentic AI with institutional tokenized-finance and settlement infrastructure.