Cybersecurity Resilience
Automation Alley understands that protecting your business against cyber threats is crucial for success in today’s digital world. Whether protecting sensitive data, ensuring business continuity, mitigating financial risks, safeguarding intellectual property, preserving supply chain integrity, complying with regulations, or maintaining customer trust, navigating these important aspects of cyber health doesn’t have to be achieved alone.

About
Michigan Cybersecurity Boost: Get Ready for Industry 4.0
Cybersecurity threats? We’ve got your back. Automation Alley – in partnership with the U.S. Department of Energy, SensCy, and Oakland University, Fraunhofer and Grimm – have launched the Cybersecurity Center at Oakland University to strengthen Michigan’s cyber resilience.
What is the Cybersecurity Center at Oakland University?
- Focus: Reduce energy sector disruption through R&D, education, and collaboration.
- Impact: Protect critical infrastructure, train future workforce, and empower businesses.
- Opportunities: Internships, apprenticeships, and FREE cyber evaluations for manufacturers.
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Our roundtables and digital transformation insights connect industry experts and thought leaders throughout the year to discuss the most pressing digital transformation topics. Elevate your network and gain invaluable insights that will reshape your business strategies. Stay updated with the latest advancements, discover emerging technologies, and position yourself as an industry authority.
Stay Informed!
Keep your finger on the pulse of cybersecurity insights with Automation Alley.
Join the movement:
- Participate in research and shape cyber resilience for Michigan.
- Prove your cyber commitment to clients and partners.
- Is your cyberhealth score as good as your credit score (i.e. 800+)?
- Sleep better knowing you’re taking action against cyber threats.
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Disclaimer:
This content is based upon work supported by the Department of Energy Office of Cybersecurity, Energy Security, and Emergency Response (CESER) under Award Number(s) DE-CR0000023.
This content was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.