Month: 2026-04 — Key achievements and business impact for zama-ai/kms 1) Key features delivered - Observability Metrics Optimization: Removed high-cardinality tags from metrics and added tests to enforce low-cardinality usage, improving metric tracking performance and efficiency. Commit: cec7105fd9f69ecc71de10583c8f4f731b6620b4 ("chore: remove high-cardinality metric tags (#523)"). - Rust Advisory Audit Configuration Relaxation: Temporarily ignore RUSTSEC-2026-0098 and RUSTSEC-2026-0099 in audit config to enable safe code removal without blocking audits. Commit: 4430a9d2693d06da2ec5662113dbbf2a340b2877 ("chore: ignore RUSTSEC-2026-0099 and RUSTSEC-2026-0098 temporarily (#529)"). 2) Major bugs fixed - No externally visible bugs fixed this month; internal refactor and audit accommodations were completed to unblock ongoing improvements. Changes focus on ensuring future changes won’t be hindered by overly strict metric tagging or static advisory blockers. 3) Overall impact and accomplishments - Business value: Improved observability efficiency leads to faster incident triage and lower storage/compute costs due to lower cardinality metrics. The audit configuration relaxation unblocked safe-code removal, supporting ongoing security hygiene and codebase modernization. - Technical hygiene: Added tests around metrics labeling and documented temporary advisory exception, maintaining traceability and safety nets for future removals. 4) Technologies/skills demonstrated - Rust, observability engineering, metric instrumentation, test-driven validation, and governance/compliance handling for security advisories. - Strong focus on performance optimization, test coverage, and maintainable code cleanup.

March 2026 (2026-03) monthly wrap-up for zama-ai/kms: Delivered deployment-ready KMS integration with enhanced core-client configuration and centralized telemetry; completed a series of security and stability upgrades across the toolchain; strengthened recovery-mode and core-client reliability with extra_data support; implemented epoch_ID default fallback; improved gRPC sending reliability with better session handling and observability. These changes reduce deployment risk, improve observability, and enable faster, safer releases, aligning with business goals of secure, scalable key management.

February 2026 (2026-02) monthly summary for zama-ai/kms. Delivered security-conscious dependency updates, core client reliability improvements, and release-readiness enhancements that collectively strengthen production stability, security posture, and time-to-market. The work focused on upgrading critical dependencies, improving observability, and tightening CI/CD processes to support safer, faster releases.

Summary for 2026-01: This month focused on strengthening KMS observability, performance validation, and release readiness for zama-ai/kms. Delivered enhanced visibility into decryption workflows with a new /version endpoint and integrated Prometheus/Jaeger tracing, added service metadata to the tracer, and improved logging of tracing lifecycle. Improved metric usability by removing the default name tag in TaggedMetric. Expanded the encryption benchmarking suite to assess switch and squash operations across bit lengths 2, 8, 16, 32, and 64, enabling more robust performance assessment. Updated the release environment: bumped to v0.13.0-rc.2 and upgraded Rust to 1.93 for compatibility with latest features.

Concise monthly summary for December 2025 covering two main repositories (zama-ai/kms and zamа-ai/fhevm). The month focused on refactoring for maintainability, observability improvements, tooling upgrades, and ensuring compatibility with the latest core changes. These efforts reduce future integration risk, accelerate feature work, and improve troubleshooting for customers and internal teams.

Month: 2025-11 Executive Summary: During November 2025, the team delivered substantive KMS reliability and security improvements, aligned release workflows with tag-based publishing, and strengthened configuration validation and API safety. Cross-repo efforts also advanced the build pipeline and test coverage for FHEVM, helping reduce risk and accelerate downstream integration. Key features delivered: - KMS Server Configuration and Error Logging Improvements: Documentation enhancements for server config and enhanced error logging to aid debugging and maintenance (commit d629fba37445854cf6ca01c86f70759107152d8d). - KMS Release Versioning and Workflow Improvements: Version bump to v0.13.0-rc.0 and alignment of npm release workflow to publish versions that match release tags (commits b037556ebff9ee71c6adac0365ec8274694ade9a and 4ac763d467f6f41be69064f2737134228375d9cb). - Threshold Configuration Validation Enhancement: Strengthened validation to ensure peer lists are non-empty, improving robustness and adding targeted tests (commit c3bc2017480130638af72c0ab7e1334ad7d8978b). - JavaScript API Safe Deserialization and Security Hardening: Refactor to use a safer deserialization method (deserialize_safe) to harden cryptographic key handling and data security (commit 914b9d4751412c77318f268ee0e57e12c0d14d23). - Build Tools and Dependency Updates: Upgraded build tooling (go-builder, yq, grpc-health-probe) to improve build reliability and address vulnerabilities (commit f11c388f7edb0378c5e5220f3a9ad9d9fd8ed07d). Cross-repo alignment with FHEVM test suite upgrade is included below. Major bugs fixed: - Threshold Configuration Validation Enhancement: Implemented non-empty peer list validation and expanded tests to prevent misconfigurations from causing runtime failures (commit c3bc2017480130638af72c0ab7e1334ad7d8978b). Overall impact and accomplishments: - Improved reliability, security, and maintainability of KMS with clearer configuration, robust validation, and safer data handling. - Faster release velocity and better traceability through automated versioning and tag-aligned workflows. - Strengthened build and test infrastructure, reducing vulnerability exposure and ensuring compatibility with the latest core components across repos. Technologies/skills demonstrated: - Rust-based KMS improvements, Go tooling and ecosystem updates, and documentation discipline for maintainability. - JavaScript/TypeScript safe deserialization practices and security-hardening focus. - Build automation, release engineering, and cross-repo coordination between KMS and FHEVM.

October 2025 highlights across the kms and relayer-sdk repositories focused on performance, stability, and developer experience. Key features and infrastructure improvements shipped, enabling faster feedback, more reliable releases, and clearer documentation. Key outcomes: - Core Client Improvements (zama-ai/kms): streamlined key retrieval by defaulting to a single key set, improved configuration paths, and naming consistency by renaming 'object' to 'element'. These changes reduce startup latency and configuration complexity, supporting more predictable client behavior. - Testing and CI/QA Infrastructure Enhancements: refined testing framework and CI/test filtering to speed up test cycles, reduced log noise, and standardized test execution, leading to quicker iteration and more reliable test results. - CI/CD and Build Process Improvements: moved heavier tests to nightly to optimize day-to-day CI, ensured cargo install uses Cargo.lock for reproducible builds, and maintained release discipline with version bumps to v0.12.1 and v0.12.2. - Documentation Improvements: corrected README typos, improved formatting, and added a release badge to improve visibility of the current release. - Dependency updates: upgraded core cryptography libraries (tkms v0.12.0 and tfhe v1.4.0-alpha.3) in the relayer-sdk to improve stability, security, and compatibility.

September 2025 monthly summary focusing on key accomplishments, major fixes, and business impact across zama-ai/kms and zama-ai/fhevm. Highlights include security-hardening of cryptographic setup, deployment reliability improvements, performance defaults for core-client, and groundwork for flexible key-management strategies with kms_type. The work reduces production risk, accelerates secure data processing, and improves release quality through CI/docs maintenance.

2025-08 Monthly Summary: Focused on delivering secure, reliable foundation work and streamlining developer workflows across the zama-ai/kms and zama-ai/relayer-sdk repositories. The month prioritized security hardening, build/tooling simplification, and maintenance of core dependencies to sustain product reliability and faster onboarding for SDK users.

July 2025 recap for zama-ai: Delivered observability and performance enhancements to the Decryption Client, refined latency measurement, and strengthened tooling and documentation across KMS and Relayer-SDK. Major fixes included accurate public decryption latency timing and test-suite alignment following TKMS/Relayer-SDK updates. These efforts yield faster performance analysis, more reliable releases, and clearer NIST-aligned documentation.

June 2025 monthly summary focusing on key accomplishments, major fixes, and overall business impact across the Zama OSS portfolio. The highlights emphasize reproducibility, security, observability, and developer experience, with concrete deliverables tied to repository commits. Key features delivered: - Dependency Version Pinning for Build Consistency (tkms v0.11.0-rc17, relayer-sdk v0.1.0-5) in zama-ai/relayer-sdk and tkms pinning; ensures deterministic builds and reduces dependency drift. Commit: 6bafccf1e4e6632f95024d5216e27bc9ff56d18a. - KMS Security Hardening and Validation with Improved Observability in zama-ai/kms; adds comprehensive config/parameter validation, startup/parameter logging, and refined error handling for client/threshold modules. Commit: ea7c13585d29d3da0e6dc21e4a601f44358abb25. - ML-KEM Parameter Upgrade and API Consistency in zama-ai/kms; transitions to MlKem512Params (128-bit security), adjusts key/ciphertext/secret key lengths, fixes JavaScript API sizing, and navigates test considerations. Commit: c8b0230ad24c74083a4fd99f317ae86b636a48c6. - Observability, CI Tooling, and Runtime Instrumentation in zama-ai/kms; enhances CI logs for clippy/rustfmt, enables dynamic log level for core-client, introduces benchmarks, and improves lint/comments for code quality. Commits: 665886fd34eac794896fc0891dfa530a0dd48049; b6885ae0efe3f155d985b7e63a7fa28be584f8d0. - KMS Documentation Clarification and Workflow Update in zama-ai/fhevm; clarifies KMS role in key generation/management, threshold decryption via MPC, security architecture, and workflow for public decryption. Commit: 9b3b91e92d0c5445794e838f7881887986230419. Major bugs fixed: - Robust User Decryption Failure Handling in zama-ai/kms; fixes decryption path to avoid returning zero when all signcryption attempts fail, adds comprehensive configuration validation, refines Shamir reconstruction error handling, and improves logging/testing for failure scenarios. Commit: e3c79fa7299d84ac5aeb59c19d944ad4c4413e47. Overall impact and accomplishments: - Improved build reproducibility and release reliability through dependency pinning. - Strengthened security posture and reliability of KMS, with enhanced observability and runtime instrumentation. - Upgraded cryptographic parameters (ML-KEM) for higher security while maintaining API compatibility. - Elevated developer experience and code quality via CI tooling, benchmarks, and linting improvements. - Clearer documentation enabling smoother onboarding and correct usage of KMS and MPC workflows. Technologies and skills demonstrated: - Rust ecosystem, validator crate, dynamic logging, and runtime instrumentation. - CI tooling, benchmarks, and linting integrations (clippy/rustfmt). - ML-KEM parameter management and API compatibility considerations. - Documentation practices for security-focused components and MPC workflows.

May 2025 monthly summary for zama-ai/kms: Delivered system stability and compatibility enhancements by consolidating dependencies (alloy, axum, clap), introduced bc2wrap to leverage bincode v2 without breaking serialization, and enhanced decryption error diagnosability with richer logs for reconstruction failures. These changes reduce runtime errors, improve upgrade resilience, and enable faster incident response, supporting smoother production operations and customer trust.

In April 2025, the Zama KMS team delivered end-to-end improvements across API alignment, initialization tracking, observability, testing, and documentation, driving security, reliability, and developer productivity. Key outcomes include Decryption API alignment with the DecryptionManager, KMS Init API cleanup with request tracking, improved cryptographic RNG logging, expanded ABI plaintext encoding tests, and comprehensive documentation/branding updates, along with dependency hygiene and TLS observability improvements. These changes improved traceability, debugability, and security posture while reducing incident response time and enabling safer production cryptographic tooling.

March 2025 (2025-03) - Focused on improving observability and reliability of address verification in the KMS service. Delivered a targeted enhancement to error logging for checksummed address validation, enabling faster debugging and more actionable insights for issues related to address parsing and validation across multiple modules.

February 2025 for zama-ai/kms delivered a production-ready gRPC-enabled core client and completed significant repo cleanup to reduce maintenance while advancing the product roadmap. Key features delivered include the kms-core-client with gRPC support, CLI enhancements, improved error handling, and configuration through fhe_params. Major cleanup includes decommissioning blockchain components, kms-example-client, and outdated workflows. Reliability improvements include removing verify_proven_ct from CI/codebase, fixing session ID masking, restoring threshold module dependencies, and strengthening test robustness. These changes improve developer velocity, reduce maintenance costs, and align the project with current business roadmap while enabling more reliable production usage and observability.

In January 2025, the kms repository advanced core cryptographic tooling, deployment clarity, and CI reliability, delivering features that improve security, performance evaluation, and release quality.

December 2024 monthly summary for zama-ai/kms: Delivered substantive cryptographic and KMS enhancements that drive security, scalability, and reliability. Key features include extended cryptographic support for Euint512 and Euint1024 with decryption and conversion pathways updated across modules, along with updated configuration and tests to validate larger integer sizes in cryptographic operations. Implemented transaction-based sharding in the KMS connector and added external signature verification for KeyGen and CRS responses, with corresponding data-structure updates and tests. Improved hex and address handling with robust decoding, removed 0x prefix handling for Ethereum addresses, and standardized HexVector debugging diagnostics for clearer troubleshooting. Strengthened NIST dispute resolution logic to improve restart behavior for single/double sharing and enhance resilience against corruption. Also introduced internal RPC, logging, and CI improvements to clarify request-building, refine polling error handling, truncate long ciphertext logs, and extend CI workflows to include inclusion proofs and common build steps for smart contracts. A notable bug fix corrected the max_poll_count value in core-conf's test configuration, aligning test parameters with expectations and reducing flakiness.

Month: 2024-11 — Consolidated reliability, observability, and security posture across the kms (zama-ai/kms) repo. Delivered core features for secure signing workflows, stabilized blockchain connectivity, and enhanced runtime telemetry, while fixing critical simulator behavior to improve deployment readiness and productivity.