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 15

AI vs. Deepfake Fraud: Enterprise-Grade Identity Verification, Voice Cloning Detection, and Phishing Defense Enterprises are facing an asymmetry problem: it is cheaper and faster than ever for adversaries to generate convincing fake content, impersonate employees, and trick customers. Deepfake voices can pass basic phone verification, synthetic faces can fool selfie checks, and AI-written emails slip […]
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The post Outsmarting

AI-Powered Continuous Compliance: Compliance-as-Code, Automated Evidence, and Continuous Controls Monitoring Compliance used to be a seasonal activity: scramble to gather screenshots, export logs, tidy up controls, and hope auditors accepted the narrative. Cloud-native delivery, high-velocity DevOps, and increasingly prescriptive standards have rendered that cadence obsolete. Today, regulators and customers expect proof of effective controls at […]
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The post Always

AI CRM Playbook: Predictive Lead Scoring, Sales Copilots and RevOps Automation for Scalable Growth What This Playbook Covers Growth-focused teams are rebuilding go-to-market around intelligent systems that score leads, guide sellers, and automate Revenue Operations. This playbook is a practical blueprint for implementing AI in your CRM to improve conversion, accelerate sales cycles, and increase […]
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The post Scale

Agentic AI in the Enterprise: Autonomous Agents that Orchestrate IT, Finance and HR with Secure, Closed-Loop Automation Introduction: From Chat to Action Generative AI started as a conversational assistant, but enterprises don’t run on conversation—they run on action. Tickets must be resolved, invoices paid, access granted, payroll exceptions addressed, and compliance evidence collected. Agentic AI […]
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The post Enterprise

Taming Shadow AI: Discover, Govern, and Secure Unofficial GenAI and LLM Use Across the Enterprise Shadow AI—unofficial use of generative AI tools and large language models by employees outside sanctioned channels—has arrived in nearly every enterprise. It is propelled by a perfect storm: easy access to powerful consumer-grade AI, relentless pressure for productivity, and the […]
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The post Taming

Secure Enterprise RAG: Data Governance, Vector Database Security & LLMOps for Compliant GenAI at Scale Retrieval-augmented generation (RAG) enables large language models to answer questions using an enterprise’s private knowledge, bridging the gap between general-purpose models and domain-specific facts. In regulated industries, though, that promise collides with strict requirements for data minimization, access controls, auditability, […]
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The post Securing

The AI-Driven SOC: Autonomous Threat Detection, Triage, and Incident Response at Enterprise Scale Introduction: Why Autonomy Matters in Modern Security Operations Security Operations Centers (SOCs) were built to handle a world where threats were slower, infrastructures were simpler, and data volumes were manageable. That world no longer exists. Cloud-native architectures, remote workforces, SaaS sprawl, and […]
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The post AI-Driven

The AI Contact Center Blueprint: Voice AI, Agent Assist, and Predictive Routing to Reduce Costs and Raise CSAT Contact centers are the operational heartbeat of many businesses, but they are also famously expensive and complex. Labor dominates costs, customer expectations are rising, and channel fragmentation complicates every decision. At the same time, AI capabilities—especially Voice […]
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The post AI

Building an AI-Powered Revenue Engine: Predictive Forecasting, AI Sales Agents, and Dynamic Pricing Introduction: Why Revenue Is Becoming an AI Problem Revenue used to be the sum of many isolated decisions: how much to stock, what to price, who to call, and when to promote. In today’s digital commerce and omnichannel selling, those decisions interact […]
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The post Predict

AI Personalization in a Cookieless World: Building a Privacy-First First-Party Data Engine for CRM, Predictive Analytics, and Customer Loyalty Introduction The end of third-party cookies and growing privacy regulation are not the end of personalization. They are a reset. Customers increasingly expect relevance, control, and respect for their data; regulators demand demonstrable compliance; platforms wall […]
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The post Beyond