CMMC Lunch and Learn - Evaluating C3PAO's
Schedule
Fri Mar 28 2025 at 12:00 pm to 01:00 pm
UTC-07:00Location
Expansive Cooper Crossing | Chandler, AZ
About this Event
You are invited to join us for an informative CMMC Lunch & Learn session focused on Evaluating and Selecting a C3PAO. This is a must-attend event for anyone looking to navigate the complexities of the CMMC assessment process and ensure their organization is ready for certification.
Lunch and location Details:
• Date: Friday, March 28th
• Time: 12:00 PM - 1:00 PM PST
• Presenter: Isabel Rivera CCP, Pentakt
• Location: Expansive - Cooper Crossing -1820 E Ray Rd.
Why Attend?
- Navigate the CMMC Process with Confidence: Learn how to select the right C3PAO to assess your organization’s cybersecurity maturity level.
- Understand the Key Criteria: Discover what makes a good C3PAO and what to look for in terms of qualifications, experience, and expertise.
- Avoid Common Pitfalls: Understand the most frequent mistakes organizations make when selecting a C3PAO and how to avoid them.
- Get Expert Guidance: Hear directly from industry experts who have been through the process and can share valuable insights and best practices.
- Maximize Your Compliance Strategy: Learn how selecting the right C3PAO can save time, reduce costs, and streamline your overall CMMC journey.
- Networking Opportunity: Connect with peers, share experiences, and engage in meaningful conversations with CMMC professionals.
Whether you are in the early stages of your CMMC journey or looking to enhance your current security measures, this webinar will offer actionable advice and solutions tailored to your needs.
Reserve your spot today and take the first step towards securing your technology environment for certification!
Where is it happening?
Expansive Cooper Crossing, 1800-1850 East Ray Road, Chandler, United StatesEvent Location & Nearby Stays:
USD 10.00
