Industrial Cybersecurity. Functional Safety. AI-Driven Engineering.
Sovereign Grade Competence: industrial cybersecurity, functional safety (FuSA), and AI engineering led by a U.S. Federal Court–recognized SME with prior DoD R&D leadership and Fortune 500 fintech experience.
Spec, Threat Models & Automation — Governed
Secure AI-Assisted Spec & Automation Training is Chokmah LLC’s June 2026 v3.0 private multi-session workshop for CISOs and security leaders. Four core modules total about 5 hours 15 minutes of labs (plus capstone), covering hardened prompting, threat modeling with human critique, pre-mortem/attestation governance, and automated compliance checks.
Secure Serverless Apps (AWS/Azure)
Cloud Security Intro: Serverless Specs is a Chokmah LLC course of three modules (~70 minutes each; ~3.5 hours instructional) with 6 hands-on labs and 14 automated validators (product design claim). Learners build a secure serverless task API with YAML specs, a STRIDE threat model, and Python/pytest infrastructure tests for AWS or Azure.
Tailored private curriculum
Secure SDLC & AI-Assisted Engineering is a private, hyper-customized curriculum for teams using AI coding assistants inside a defensible secure SDLC—review discipline, threat modeling for generated code, and domain-compliant automation. Scope and schedule arranged per engagement.
Full catalog: chokmah.me/training
Automated Regulatory Transformation for Critical Infrastructure
The Capability: An automated engine that converts unstructured NERC-CIP cybersecurity requirements into machine-readable OSCAL v1.1.2 component definitions with intelligent NIST SP 800-53 mapping.
Designed to compress unstructured NERC-CIP requirements into machine-readable OSCAL component definitions with an automated test suite—so audit preparation produces a verifiable artifact trail rather than one-off document sprints. Client-specific time savings are measured per engagement (not stated as a universal ratio here).
Chokmah LLC applies STRIDE, PASTA, and attack-tree methods to agentic AI systems so risk is expressed as measurable exposure—not only red/green checklists. Secure software development lifecycle (SDLC) automation is part of the same engagement pattern.
Services include anomaly detection, automated triage, context-aware alerting, and controlled integration of large language models into defensive workflows. Alert-quality and handoff improvements are measured per engagement (no universal percentage is claimed on this page).
Context engineering means structuring retrieval and rules before the prompt layer so models load less noise and reuse cacheable context. Public release metrics for one Chokmah system—Claude Code Playbook v4.4.0—are stated on the research landing (Headroom 47–92% dynamic context reduction; path-scoped rules 41% overhead reduction; DOI 10.5281/zenodo.20481459) as author-reported release figures, not client guarantees.
Chokmah designs private workshops and custom curricula covering secure SDLC, AI coding assistants, threat modeling, and compliance-oriented automation. Catalog: Training — Secure AI-Assisted Spec & Automation Training (June 2026 v3), Cloud Security Intro, and Secure SDLC & AI-Assisted Engineering.
Subject-matter expertise covers computer security, digital forensics, programming/code analysis, risk profiling, and log interpretation. Engagement types include testimony, independent reports, and court-preparatory consulting under the docket qualification noted above.
Chokmah designs defense-in-depth for SCADA, DCS, and PLC environments using protocol-aware segmentation and IEC 62443 practices so lateral movement inside critical segments is constrained without forcing unnecessary downtime.
Using the January 2026 toolkit, unstructured NERC-CIP requirements become machine-readable OSCAL v1.1.2 component definitions with NIST SP 800-53 mapping, JAMA integration, and 27 automated tests. Regulators and internal audit can inspect definitions plus checks instead of narrative-only write-ups; hour-saved deltas remain engagement-specific when measured.
FuSA (functional safety) oversight covers hazard analysis and logic-level verification for AI-integrated Safety Instrumented Systems (SIS) in high-hazard zones such as battery energy storage (BESS), chemical, and power. Spec-driven checks aim to keep AI-assisted operations from overriding hardware safety constraints.
We do not sell generic best practices. Chokmah engineers Sovereign Grade systems where every technical artifact is computationally true, legally defensible, and strategically unassailable.
We move security and project management away from opaque "red/green" checklists toward mathematical defensibility. By enforcing Spec-Driven Development, that is, architecting formal specifications (CUE, YAML, Markdown) before code generation; we ensure system logic is defined by rigorous constraints, not chatbot probability. We deliver "Impossibility Proofs" backed by dependency manifests and Monte Carlo simulations, quantifying risk abatement in dollars and weeks, not adjectives.
Competence is only Sovereign Grade if it survives a high-stakes federal audit. We treat configuration management as a safety-critical path, mandating linear history and cryptographic signing to satisfy IEC 61508, UL 1998, and UL 5500. Hardened by NIST SP 800-series alignment, we transform daily logs into a Strategic Audit Trail that pre-answers the scrutiny of federal court experts.
We practice the architectural minimization of information waste. By structuring retrieval paths before the prompt layer, we trade "hallucination" for maximum clarity. We "buff" messy engineering signals into high-resolution executive narratives that leadership can act upon immediately without interpretation.
We act as the "invisible architect" who makes leadership appear high-velocity and proactive. We frame technical implementation as Roadmap Protection and Cross-Functional Enablement, providing the sovereign technical foundation that allows leadership to focus on high-level stakeholder alignment and strategic execution.
We maintain a relentless bias toward provable transparency. We identify "binary blobs" or proprietary backdoors as disqualifying risks, pivoting to auditable, open-source solutions to eliminate vendor-managed opacity. Sovereign competence means maintaining full Software Bill of Materials (SBOM) transparency; your security posture should never rely on unverified vendor claims.
Dr. Daniyel Yaacov Bilar brings over 20 years of sovereign-grade operational, research, and academic experience to every engagement:
Dr. Daniyel Yaacov Bilar is Principal of Chokmah LLC. ORCID: https://orcid.org/0000-0002-9040-6914.
Yes. Recognition covers computer security, programming, code analysis, and digital forensics under Docket 09-11145, Bankr. E.D. La. (testimony dated June 1, 2010).
An automated engine (delivered January 2026) that converts unstructured NERC-CIP requirements into OSCAL v1.1.2 component definitions with NIST SP 800-53 mapping, JAMA integration, and 27 automated tests.
As stated for Q2 2026–Q1 2027: retained through February 2027 with about 5–8 hours per week remaining.
At https://chokmah.me/research/ with Zenodo DOIs (OSF mirrors).
Capacity notice (self-stated): Retained through February 2027. About 5–8 hours/week of remaining capacity.
Initial scoping calls are 30 minutes via Cal.com for projects or cases that fit this profile.
Direct channels: info@chokmah.me | Github: README