AI Cryptography Audit & CBOM (Discovery, Risk, PQC Readiness)

Use AI‑driven cryptographic discovery and Cryptographic Bill of Materials (CBOM) to build a complete, machine‑readable inventory of your cryptography—across source code, binaries, containers, networks, devices, and cloud. We help enterprises quantify risk, prioritise fixes, and prepare for post‑quantum transitions.

Why SafeCipher (Outcomes & Fit)

  • Complete visibility of algorithms, keys/certs, protocols, and libraries across IT, cloud, and IoT/OT
  • Faster assessments with ML‑assisted scanning and automated correlation to owners/systems
  • Risk‑based remediation with playbooks and evidence packs for audits
  • PQC readiness: crypto‑agility policy, hybrid pilots, and migration roadmap

What Our AI‑Driven Discovery Finds (Enterprise Scope)

  • Algorithms & ciphers: AES, RSA, ECDSA/ECDH, ChaCha20‑Poly1305, and deprecated/vulnerable algorithms
  • Keys & certificates: key types/lengths/curves, usage (server, client, signing), issuers, validity, secrets in code/repos
  • Protocols & libraries: TLS/DTLS/IPSec/SSH, OpenSSL/BoringSSL/wolfSSL/LibreSSL, JCA/BC, OS crypto APIs
  • Locations: external & internal networks, servers, endpoints, Kubernetes/containers, databases, message buses, source code & dependencies, CI/CD pipelines, IoT/OT devices

How AI Enhances Discovery (Accuracy & Speed)

  • Scale & speed: parallel scanning over petabyte‑scale repos, registries, and estates
  • Pattern learning: models trained to recognise crypto usage, unsafe configs, and code smells
  • Predictive analysis: likelihood of exploitability, blast‑radius scoring, and fix‑time estimates
  • Context enrichment: auto‑maps findings to owners, apps, change windows, and SLAs

CBOM Generation & Audits (Machine‑Readable Inventory)

  • Automated CBOMs for apps and systems, derived from code, containers, and runtime traces
  • Compliance checks: evaluate against NIST profiles and your crypto policy (algorithms, key sizes, validity)
  • Risk assessment: flag deprecated algorithms, inadequate key sizes, weak digests, expired or soon‑to‑expire certs
  • Remediation & orchestration: convert CBOM data into work items and runbooks; prioritise by risk and dependency impact

We support open‑source and commercial tooling (e.g., open projects like a CBOM generator and policy engines) and integrate with your existing scanners.

Architecture & Integrations (How We Implement It)

  • Code & artifact scanning: GitHub/GitLab/Azure DevOps, artifact registries, container images
  • Runtime & infra: agents for servers/endpoints, K8s admission/sidecar, LB/WAF/TLS terminators
  • Secrets & keys: discovery across Vault/AKV/KMS/CloudHSM, config stores, and env vars
  • SIEM/SOAR & ITSM: stream findings to Splunk/Sentinel/QRadar; create tickets with owners/SLAs

PQC Readiness & Crypto‑Agility (Plan the Transition)

  • Inventory to plan: map quantum‑vulnerable assets and high‑value paths
  • Policy packs: approved algorithms, key sizes, lifetimes; hybrid cert patterns
  • Pilot: limited‑scope PQC/hybrid deployments; client/device compatibility tests

Governance & Compliance (Evidence‑Driven)

  • Traceability matrix: map findings to policy clauses and standards (e.g., NIST, ISO 27001, PCI, NIS2)
  • Audit evidence: immutable logs, signed reports, exception handling, and risk acceptance records
  • Change control: GitOps for crypto policy; CAB‑ready change artefacts

Deliverables (What You Get)

  • Estate CBOM with per‑app/system breakdowns (JSON + human‑readable reports)
  • Risk register with prioritised remediation backlog and owners
  • Crypto Policy & Standards updates (algorithms, key sizes, validity, rotation)
  • Runbooks: remediation playbooks for TLS, code libraries, key rotation, cert renewal
  • Executive summary: KPIs, risk heatmaps, PQC roadmap and budget estimates

Use Cases (Where This Helps First)

  • Audit prep: ISO 27001/PCI/NIS2 evidence; deprecation sweeps (e.g., SHA‑1, 1024‑bit RSA)
  • M&A due diligence: rapid crypto risk assessment of acquired code and infra
  • Kubernetes & microservices: mTLS enforcement, short‑lived certs, issuer consistency
  • Software supply chain: signed artifacts, EV code signing, attestations

Our Shortcodes (for Clear Requests)

  • AI‑DISC → AI discovery scan (code/containers/runtime)
  • AI‑CBOM → CBOM generation & policy checks
  • AI‑PQC → PQC readiness & hybrid pilot

Example: AI‑DISC/Platform‑Repos/v1 then AI‑CBOM/Payments‑Services/v1 → AI‑PQC/Hybrid‑Pilot/v1

FAQ: AI Crypto Audit & CBOM — Common Questions

Is this safe for production? Yes—read‑only scans by default, with agentless options and strict scoping. We can isolate networks and throttle as needed.

Do we need to share source code? Not always. We can scan binaries, containers, and runtime traffic if code sharing is restricted.

How long does it take? Depends on scope/size. We batch scans and report continuously by domain/team.

Will this break anything? No—scans are passive. Remediation playbooks are staged and tested before rollout.

Get Started (Assessment → Pilot → Scale)

  1. Define scope and data boundaries; connect repos, registries, and estates
  2. Run discovery and generate CBOMs; validate against policy
  3. Deliver remediation plan and PQC roadmap; implement pilots and scale