Petronella Cybersecurity and Digital Forensics

Craig Petronella is the founder of Petronella Technology Group, Inc. (PTG) an internationally trusted IT cybersecurity and compliance consulting group with over 30 years’ experience helping federal contractors and businesses with cybersecurity and compliance regulations, and who’s patented 22-layer systems cover your People, Processes and Technology.

Craig is an Amazon #1 Best-Selling Author of many books, including “The Ultimate Guide To CMMC”, founder of the podcast Cybersecurity and Compliance with Craig Petronella - CMMC, NIST, DFARS, HIPAA, GDPR, ISO27001 https://petronellatech.buzzsprout.com/ and is an MIT Certified Professional in AI, Blockchain, Cybersecurity and Compliance.

Almost all of Craig's clients are earned by referral with little or no advertising, and he is well-known and highly-regarded in professional circles throughout the US, after serving as compliance consultant and conducting onsite risk assessments for over 500 medical practices, hospitals, and business associates across the country.

Continuity of your business operations starts with cybersafety.

PTG provides Cybersecurity & Compliance Consulting Services, including:

We help defense contractors, medical practices, law firms and various businesses that are regulation comply with ANY regulation, including:

  • CMMC
  • DFARS
  • NIST 800-53 & 171
  • DFARS
  • HIPAA & HITECH
  • SOX
  • All ISO & SOC levels
  • & Many More...

We serve customers across all sectors in public & private organizations. We understand that each industry and organization has unique IT challenges and our expertise enables us to help you navigate the regulatory mandates and customize a solution tailored to your needs.

Latest from Petronella Cybersecurity and Digital Forensics - Page 2

Copilots for Sales and Service: ROI Beyond the Hype Introduction Across sales floors and service centers, AI “copilots” promise everything from instant deal velocity to perfect first-contact resolution. Leaders are rightly excited—and skeptical. Beyond glossy demos and anecdotal wins, the critical question is simple: where does repeatable, defensible return on investment actually come from? This […]
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Enterprise LLMOps: Monitoring, Safety, and ROI Enterprises have raced from proof-of-concept chatbots to mission-critical AI assistants, code copilots, and document analyzers. The difference between a flashy demo and a dependable system is not a bigger model—it’s the operational discipline around it. Large Language Model Operations (LLMOps) sits at the intersection of MLOps, application observability, security […]
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From Pilots to Impact: Change Management for AI Organizations everywhere can point to a handful of AI pilots that looked promising, demoed well, and then quietly faded. The real challenge is not proving AI can work once; it’s building the muscle to repeatedly convert pilots into scaled solutions that change customer experiences, cost structures, and […]
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FinOps Meets GreenOps: Cut Cloud Cost and Carbon Cloud spending has become one of the largest line items in modern IT budgets. At the same time, organizations are setting public climate commitments, preparing for stricter disclosure rules, and facing customer scrutiny about the environmental impact of digital products. These forces are converging into a single […]
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API Security 2.0: Defending Against BOLA and Sprawl Introduction APIs are the circulatory system of modern software: they move data, connect experiences, and power business-critical platforms. They also present an attack surface that changes daily. Traditional perimeter-centric security is not enough when your organization ships dozens or hundreds of microservices, supports partners, opens mobile apps […]
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From RPA to AI Agents: Automating the Back Office Introduction For two decades, back-office automation has meant rules engines and robotic process automation (RPA) scripts mimicking keystrokes. These tools unlocked real savings by removing repetitive work from human queues, improving cycle times and accuracy in areas like finance, HR, and operations. Yet as organizations push […]
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Policy as Code: Platform Engineering Meets Compliance Software delivery moves faster than ever, but compliance obligations have only grown in complexity. This tension has traditionally produced friction: developers feel slowed by security reviews and auditors struggle to keep pace with continuous deployment. Policy as Code (PaC) changes the dynamic by transforming regulatory and governance controls […]
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Confidential Computing: The Trust Layer for Cloud AI Introduction AI is racing ahead on the back of massive data and elastic compute, but the question that keeps boardrooms and regulators cautious is simple: who can you trust with your most sensitive inputs, model weights, and outputs? Traditional cloud security secures data at rest and in […]
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Secure Software Supply Chains: SBOM, SLSA, and SSDF Introduction Software is no longer delivered as a single monolithic artifact created entirely within one organization’s walls. It is assembled from open source libraries, vendor SDKs, cloud services, container images, and CI/CD automations that span dozens of tools and teams. That interconnected reality is a gift for […]
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New Year Guardrails: Practical AI Governance The new year is when ambitious AI roadmaps meet the practical realities of risk, regulation, and reputation. Organizations that scaled pilots or deployed generative AI last year are now facing tougher questions: How do we keep systems reliable as they grow? Who is accountable when an automated decision harms […]
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