AI-Powered Confirmation Measures for Functional Safety and Cybersecurity

AI-Powered Confirmation Measures for Functional Safety and Cybersecurity

Presented by Nikhil Unnikrishnan, Project Manager, EVAV

In today’s complex automotive and industrial environments, functional safety and cybersecurity are paramount. As technology becomes more deeply integrated into our products, ensuring safety and compliance throughout product development has become a critical challenge. Nikhil, during the recent customer conference, explained how OBOT, Omnex' System’s AI-powered platform, can help organizations address these challenges by automating critical confirmation measures such as audits, assessments, and reviews.

The Industry Challenge: Navigating Complexity

As the automotive industry evolves, electronics, software, and embedded systems have become central to product development. However, this increasing complexity brings new challenges in managing functional safety, cybersecurity, and overall product quality. He highlighted how organizations today are grappling with the following issues:

  • Disconnected systems causing delays in sharing information across teams.
  • Global supply chains with teams spread across different time zones.
  • The balancing act between compliance and innovation that often slows down development.
  • Identifying issues too late in the product development cycle, leading to costly rework.

How OBOT Helps: The AI Solution

In his presentation, Nikhil discussed how OBOT can help solve these problems by automating various tasks in the product development cycle. OBOT connects to your organization’s IT systems, analyzes data, and generates real-time insights. It performs both preventive and detective roles, helping organizations avoid issues early and efficiently track improvements.

OBOT’s Key Features:

  • Automated Audits, Assessments, and Reviews: OBOT performs evaluations on your embedded systems, specifically focusing on functional safety, cybersecurity, and quality. It generates a list of findings and improvement opportunities, allowing teams to take action before issues escalate.
  • Real-Time Insights: OBOT can sync data continuously, allowing teams to have up-to-date findings for quick decision-making.
  • Quantitative and Qualitative Analysis: OBOT provides in-depth analysis, assessing projects against predefined criteria and measuring compliance with industry standards like ISO 26262 and ISO/SAE 21434.
  • Continuous Learning: OBOT uses machine learning to evolve over time, adapting to new data, past project learnings, and updated criteria. This continuous improvement ensures better outcomes with each iteration.

The Impact: Real-World Benefits

Nikhil shared a real-world example during the session. For instance, in requirements management, OBOT can analyze thousands of lines of safety and security requirements, checking if they align with the ISO 26262 standards. Normally, this process would be extremely time-consuming, but OBOT automates it, completing the task in hours instead of days or weeks.

With functional safety assessments, OBOT ensures each work product is evaluated against safety criteria, streamlining the process and reducing the risk of late-stage issues. Early detection of issues also helps organizations save on costly rework, reducing the overall time and cost of development.

Significant Cost and Time Savings

A key takeaway from the session was the substantial cost savings that OBOT brings. By automating review processes, OBOT reduces manual review time by up to 60%, saving significant amounts of money. For example, in five functional safety projects, OBOT could save around $726,500 in review costs alone. These savings help free up resources for innovation and allow companies to meet deadlines more effectively.

Additionally, OBOT helps reduce delays in product development. With real-time evaluations and continuous review cycles, teams can ensure milestones are met on time, avoiding the ripple effect of delays that can impact delivery and customer relationships.

Looking Ahead: AI and the Future of Compliance

As the presenter pointed out, the future of AI in functional safety and cybersecurity is not just about automating current tasks but also about improving the entire product development lifecycle. OBOT’s ability to learn from each project and adapt to new standards and requirements ensures that it continues to add value over time.

OBOT’s Role:

  • Helps create requirements templates based on lessons learned from previous projects.
  • Improves organizational processes by sharing insights across teams and projects.
  • Enables companies to meet both compliance and innovation goals by streamlining processes and driving efficiency.

Ready to Transform Your Operations?

In conclusion, Nikhil emphasized that OBOT is a game-changer for organizations looking to manage functional safety, cybersecurity, and quality more efficiently. With its ability to automate key processes, provide real-time insights, and continuously learn, OBOT empowers teams to make faster, better decisions.

Contact us today to learn how OBOT can streamline your operations, reduce costs, and ensure that your products are both compliant and innovative, every step of the way.

Speaker

Nikhil Unnikrishnan

Nikhil Unnikrishnan - Project Manager, Electric & Autonomous Vehicles • Omnex Inc.Nikhil Unnikrishnan is a Consultant with extensive experience in collaborating with automotive clients on hardware, software, and mechanical systems design and development. He has a track record of implementing best practices in ISO 26262 Functional Safety, Automotive SPICE, ISO/SAE 21434 Cybersecurity, and SOTIF to enhance processes efficiency. His work includes conducting assessments, developing process documentation, and overseeing roll-outs for top automotive Tier 1 and 2 companies. Projects he has been involved in range from Electric Battery packs to Autonomous driving technology and ADAS sensors. Nikhil is a certified Principal Assessor, Lead Auditor, Green Belt in Lean Six Sigma, and Quality Process Analyst with a rich background in Automotive Quality Management Systems. He also serves as a trainer for Automotive SPICE, Functional Safety, and IATF integration at Omnex. Nikhil holds a post-graduate degree in Systems Engineering and Management from the University of Texas at Dallas, along with a Bachelor’s in Mechanical Engineering from Amrita University in India. In addition to his consultancy role, Nikhil is the Project Manager for Omnex’s Electric and Autonomous Vehicle projects and contributes as a subject matter expert for the EVAV platform’s product development.

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