#critical infrastructure

[collapseofindustrialcivilization]

AI-Driven Cyberattacks, Climate Change, and the Fragility of Modern Civilization

The weaponization of advanced artificial intelligence (AI) systems stands as one of the most plausible and catastrophic risks facing modern civilization. As AI capabilities accelerate, so too does their potential to destabilize the complex, interdependent systems that sustain our societies—namely, power grids, communication networks, and global supply chains. In a scenario increasingly discussed…

[jcmarchi]

Are AI-Powered Traffic Cameras Watching You Drive?

New Post has been published on https://thedigitalinsider.com/are-ai-powered-traffic-cameras-watching-you-drive/

Are AI-Powered Traffic Cameras Watching You Drive?

Artificial intelligence (AI) is everywhere today. While that’s an exciting prospect to some, it’s an uncomfortable thought for others. Applications like AI-powered traffic cameras are particularly controversial. As their name suggests, they analyze footage of vehicles on the road with machine vision.

They’re typically a law enforcement measure — police may use them to catch distracted drivers or other violations, like a car with no passengers using a carpool lane. However, they can also simply monitor traffic patterns to inform broader smart city operations. In all cases, though, they raise possibilities and questions about ethics in equal measure.

How Common Are AI Traffic Cameras Today?

While the idea of an AI-powered traffic camera is still relatively new, they’re already in use in several places. Nearly half of U.K. police forces have implemented them to enforce seatbelt and texting-while-driving regulations. U.S. law enforcement is starting to follow suit, with North Carolina catching nine times as many phone violations after installing AI cameras.

Fixed cameras aren’t the only use case in action today, either. Some transportation departments have begun experimenting with machine vision systems inside public vehicles like buses. At least four cities in the U.S. have implemented such a solution to detect cars illegally parked in bus lanes.

With so many local governments using this technology, it’s safe to say it will likely grow in the future. Machine learning will become increasingly reliable over time, and early tests could lead to further adoption if they show meaningful improvements.

Rising smart city investments could also drive further expansion. Governments across the globe are betting hard on this technology. China aims to build 500 smart cities, and India plans to test these technologies in at least 100 cities. As that happens, more drivers may encounter AI cameras on their daily commutes.

Benefits of Using AI in Traffic Cameras

AI traffic cameras are growing for a reason. The innovation offers a few critical advantages for public agencies and private citizens.

Safety Improvements

The most obvious upside to these cameras is they can make roads safer. Distracted driving is dangerous — it led to the deaths of 3,308 people in 2022 alone — but it’s hard to catch. Algorithms can recognize drivers on their phones more easily than highway patrol officers can, helping enforce laws prohibiting these reckless behaviors.

Early signs are promising. The U.K. and U.S. police forces that have started using such cameras have seen massive upticks in tickets given to distracted drivers or those not wearing seatbelts. As law enforcement cracks down on such actions, it’ll incentivize people to drive safer to avoid the penalties.

AI can also work faster than other methods, like red light cameras. Because it automates the analysis and ticketing process, it avoids lengthy manual workflows. As a result, the penalty arrives soon after the violation, which makes it a more effective deterrent than a delayed reaction. Automation also means areas with smaller police forces can still enjoy such benefits.

Streamlined Traffic

AI-powered traffic cameras can minimize congestion on busy roads. The areas using them to catch illegally parked cars are a prime example. Enforcing bus lane regulations ensures public vehicles can stop where they should, avoiding delays or disruptions to traffic in other lanes.

Automating tickets for seatbelt and distracted driving violations has a similar effect. Pulling someone over can disrupt other cars on the road, especially in a busy area. By taking a picture of license plates and sending the driver a bill instead, police departments can ensure safer streets without adding to the chaos of everyday traffic.

Non-law-enforcement cameras could take this advantage further. Machine vision systems throughout a city could recognize congestion and update map services accordingly, rerouting people around busy areas to prevent lengthy delays. Considering how the average U.S. driver spent 42 hours in traffic in 2023, any such improvement is a welcome change.

Downsides of AI Traffic Monitoring

While the benefits of AI traffic cameras are worth noting, they’re not a perfect solution. The technology also carries some substantial potential downsides.

False Positives and Errors

The correctness of AI may raise some concerns. While it tends to be more accurate than people in repetitive, data-heavy tasks, it can still make mistakes. Consequently, removing human oversight from the equation could lead to innocent people receiving fines.

A software bug could cause machine vision algorithms to misidentify images. Cybercriminals could make such instances more likely through data poisoning attacks. While people could likely dispute their tickets and clear their name, it would take a long, difficult process to do so, counteracting some of the technology’s efficiency benefits.

False positives are a related concern. Algorithms can produce high false positive rates, leading to more charges against innocent people, which carries racial implications in many contexts. Because data biases can remain hidden until it’s too late, AI in government applications can exacerbate problems with racial or gender discrimination in the legal system.

Privacy Issues

The biggest controversy around AI-powered traffic cameras is a familiar one — privacy. As more cities install these systems, they record pictures of a larger number of drivers. So much data in one place raises big questions about surveillance and the security of sensitive details like license plate numbers and drivers’ faces.

Many AI camera solutions don’t save images unless they determine it’s an instance of a violation. Even so, their operation would mean the solutions could store hundreds — if not thousands — of images of people on the road. Concerns about government surveillance aside, all that information is a tempting target for cybercriminals.

U.S. government agencies suffered 32,211 cybersecurity incidents in 2023 alone. Cybercriminals are already targeting public organizations and critical infrastructure, so it’s understandable why some people may be concerned that such groups would gather even more data on citizens. A data breach in a single AI camera system could affect many who wouldn’t have otherwise consented to giving away their data.

What the Future Could Hold

Given the controversy, it may take a while for automated traffic cameras to become a global standard. Stories of false positives and concerns over cybersecurity issues may delay some projects. Ultimately, though, that’s a good thing �� attention to these challenges will lead to necessary development and regulation to ensure the rollout does more good than harm.

Strict data access policies and cybersecurity monitoring will be crucial to justify widespread adoption. Similarly, government organizations using these tools should verify the development of their machine-learning models to check for and prevent problems like bias. Regulations like the recent EU Artificial Intelligence Act have already provided a legislative precedent for such qualifications.

AI Traffic Cameras Bring Both Promise and Controversy

AI-powered traffic cameras may still be new, but they deserve attention. Both the promises and pitfalls of the technology need greater attention as more governments seek to implement them. Higher awareness of the possibilities and challenges surrounding this innovation can foster safer development for a secure and efficient road network in the future.

[epicstoriestime]

Why Aren’t We Using Counter-Drone Tech in NJ?

Counter-Unmanned Aerial Systems (C-UAS) Clusters of unidentified drones have been buzzing around New Jersey, raising eyebrows and concerns, especially near critical infrastructure. The U.S. has top-tier counter-drone systems—tech designed to track and neutralize UAVs—yet they aren’t being deployed here. Instead, officials are focused on monitoring and investigating, leaving the public wondering:…

[gwydionmisha]

China’s cyber army is invading critical U.S. services

[littlebellesmama]

What If "The President Is Missing" Actually Happened? A Cyberattack, a Blackout, and the Quiet Collapse

I read The President Is Missing by James Patterson and Bill Clinton a few weeks after it was released, and honestly, it left my mind spinning. It’s one of those political thrillers that you race through because it feels like it’s building toward something huge. The story is gripping, sure—it has a U.S. president, high-stakes espionage, betrayal, shadowy operatives—but what really stayed with me…

[code-of-conflict]

AI, Cybersecurity, and National Sovereignty

Introduction: The Role of AI in Cybersecurity

As artificial intelligence (AI) becomes integral to national security, cyber threats increasingly exploit AI-driven vulnerabilities. Both India and China face the challenge of securing their cyber infrastructure while mitigating espionage and offensive cyber operations. The risks include large-scale data breaches, intellectual property theft, and attacks on critical infrastructure. With AI enhancing the scope and speed of cyberattacks, national sovereignty is increasingly threatened by cyber vulnerabilities that transcend borders.

AI-Driven Cyber Threats and Espionage

China has heavily integrated AI into its cyber capabilities, using it to enhance espionage, cyber warfare, and information manipulation. AI-enabled cyber operations allow China to gather vast amounts of intelligence data through advanced hacking techniques. These tools are often deployed through state-sponsored groups, exploiting zero-day vulnerabilities and penetrating government and corporate networks worldwide​.

For example, in 2021, China was accused of orchestrating a large-scale cyber-attack targeting Microsoft Exchange servers, affecting over 30,000 organizations globally. This attack was designed to facilitate espionage, capturing sensitive information ranging from corporate intellectual property to government data​. China's cyber operations underscore the increasing use of AI in orchestrating sophisticated, large-scale intrusions that threaten national sovereignty.

India, while lagging behind China in offensive cyber capabilities, faces persistent cyber espionage threats from Chinese state-sponsored actors. The most notable incidents occurred during the 2020 India-China border standoff, where Chinese hackers targeted India's critical infrastructure, including power grids and government networks​. These attacks highlight the vulnerabilities in India's cybersecurity architecture and its need to enhance AI-driven defenses.

Vulnerabilities and National Sovereignty

AI-driven cyber threats pose significant risks to national sovereignty. For India, the challenges are magnified by the relatively underdeveloped nature of its cybersecurity infrastructure. Although the establishment of the Defence Cyber Agency in 2018 marked a step forward, India still lacks the offensive cyber capabilities and AI sophistication of China​. India's defensive posture primarily focuses on securing critical infrastructure and mitigating cyber intrusions, but it remains vulnerable to cyber espionage and attacks on its digital economy.

China's integration of AI into both military and civilian cyber systems, through its Military-Civil Fusion policy, has bolstered its ability to conduct large-scale cyber operations with deniability. This fusion allows China to leverage private sector innovations for military purposes, making it a formidable cyber power in the Indo-Pacific region​.

Case Studies: Cyber Confrontations

In 2019, a significant cyberattack targeted India's Kudankulam Nuclear Power Plant, which was traced back to North Korea, but was believed to be part of a broader effort involving Chinese actors. This incident highlighted the potential for AI-enhanced malware to target critical infrastructure, posing severe risks to national security.

Similarly, the 2020 Mumbai blackout, reportedly linked to Chinese hackers, emphasized how AI-driven cyberattacks can disrupt essential services, creating chaos in times of geopolitical tension​. These incidents illustrate how AI-driven cyber capabilities are increasingly weaponized, posing severe risks to India's sovereignty and its ability to protect critical infrastructure.

Implications for Future Conflicts

As AI continues to evolve, the cyber domain will become a primary battleground in future conflicts between India and China. AI-enhanced cyber operations provide both nations with the ability to conduct espionage, sabotage, and information warfare remotely, without direct military engagement. For China, these tools are integral to its broader geopolitical strategy, while India must develop its AI and cybersecurity capabilities to protect its national sovereignty and counteract cyber threats​.

Conclusion

The integration of AI into cybersecurity poses both opportunities and challenges for India and China. While China has aggressively developed AI-driven cyber capabilities, India faces an urgent need to enhance its defenses and develop its offensive cyber tools. As cyberattacks become more sophisticated, driven by AI, both nations will continue to grapple with the implications of these developments on national sovereignty and global security.

[onetechavenue]

The Median Recovery Costs for 2 Critical Infrastructure Sectors, Energy and Water, Quadruples to $3 Million in 1 Year, Sophos Survey Finds

Sophos, a global leader of innovative security solutions for defeating cyberattacks, recently released a sector survey report, “The State of Ransomware in Critical Infrastructure 2024,” which revealed that the median recovery costs for two critical infrastructure sectors, Energy and Water, quadrupled to $3 million over the past year. This is four times higher than the global cross-sector median.…

[ohmyfivedotcom]

When Cyber Attacks Are the Least of Our Worries: 5 Shocking Threats to Critical Infrastructure

Introduction paragraph explaining the significance of the list. Use key phrases related to the topic for SEO optimization. Imagine a world where the things we rely on every day suddenly vanish. No power, no water, no internet—sounds like a bad sci-fi movie, right? But it’s more real than you might think. The importance of critical infrastructure can’t be overstated. These systems are the backbone…

[gauricmi]

Safeguarding Our Nation: The Imperative of Critical Infrastructure Protection

In an interconnected world where technology reigns supreme, the protection of our critical infrastructure is paramount. Critical infrastructure forms the backbone of our society, encompassing systems and assets vital for national security, economic stability, and public health and safety. From power grids to transportation networks, water supplies to telecommunications, each component plays a crucial role in sustaining our way of life. Thus, the concept of Critical Infrastructure Protection (CIP) emerges as a cornerstone in ensuring the resilience and security of our nation.

At its core, Critical Infrastructure Protection (CIP) entails the proactive measures taken to safeguard essential assets and systems against a myriad of threats. These threats encompass a broad spectrum, ranging from natural disasters and cyberattacks to physical sabotage and terrorism. The interconnected nature of modern infrastructure magnifies the potential impact of such threats, underscoring the need for comprehensive and robust protection strategies. By prioritizing CIP efforts, we aim to mitigate vulnerabilities, enhance resilience, and minimize the cascading effects of disruptions across critical sectors.

One of the fundamental challenges in Critical Infrastructure Protection lies in the recognition of interdependencies among various infrastructure sectors. A disruption in one sector can often trigger ripple effects, causing widespread consequences across interconnected systems. For instance, a cyberattack targeting financial institutions can disrupt not only the banking sector but also impact transportation, energy, and communication networks. Therefore, a holistic approach to CIP is essential, encompassing cross-sector collaboration, information sharing, and risk management practices.

Get More Insights On This Topic: Critical Infrastructure Protection

Explore More Related Topic: Singapore Meetings, Incentives, Conferences and Exhibitions (MICE) Market

[pebblemaninoff]

thinking about critical infrastructures today. oh boy

[jcmarchi]

CyXcel research discovers a third of UK businesses at AI risk

New Post has been published on https://thedigitalinsider.com/cyxcel-research-discovers-a-third-of-uk-businesses-at-ai-risk/

CyXcel research discovers a third of UK businesses at AI risk

Research by cybersecurity consultancy CyXcel has revealed 29% of UK businesses surveyed have only recently implemented their first AI risk strategy, with 31% not no AI governance policies set up. The is despite a third of businesses recognising AI as a potential cybersecurity threat. The blind spot in AI risk preparedness leaves businesses prey to data leaks and breaches, operational disruptions, and regulatory fines, the company says.

Of those surveyed, 18% of UK and US organisations are unprepared for AI data poisoning, a form of cyberattack that targets the training data of AI and machine learning models. Moreover, 16% have no policies in place to fight cloning and deepfake incidents.

Megha Kumar, Chief Product Officer and Head of Geopolitical Risk at CyXcel, stated there is a catch 22 situation, where companies want to adopt AI solutions but simultaneously worry about its risks. “Organisations want to use AI but are worried about risks – especially as many do not have a policy and governance process in place.”

He said CyXcel’s Digital Risk Management (DRM) platform can help respond to mounting threats. “The CyXcel DRM provides clients in all sectors, especially those that have limited technological resources in house, with a robust tool to proactively manage digital risk and harness AI confidently and safely.”

The CyXcel DRM platform is designed to provide businesses with insight into growing AI risks. It combines cyber, legal, technical, and strategic expertise to help manage threats and improve digital resilience. The company says its DRM platform also helps implement governance and policies that will mitigate possible risks.

The DRM platform provides strategies for – AI, Cyber, Supply Chain, Geopolitics, Regulation, Technology (OT/IT), and Corporate Responsibility, available through a dashboard where users can manage digitals risks using solutions proffered by the platform.

Legal and technical insights come from expertise coded into the platform, so users can see trends, the potential impact of risks, and emerging threats. It advises on possible strategies for combatting danger and vulnerabilities.

The DRM also offers a “full-spectrum dispute resolution and litigation service” aimed at reducing the time needed for organisations to follow regulations and laws related to various digital threats. For businesses with strict regulations in place, CyXcel’s DRM covers 26 sectors legally required to follow regulations like the EU’s NIS2 and DORA (Digital Operational Resilience Act). These sectors are considered essential infrastructure, with each classified as Critical National Infrastructure (CNI) in regions like the US, UK, and EU.

CyXcel CEO, Edward Lewis, spoke on the evolving and complex landscape of cybersecurity regulation. “Governments worldwide are enhancing protections for critical infrastructure and sensitive data through legislation like the EU’s Cyber Resilience Act, which mandates security measures like automatic updates and incident reporting. Similarly, new laws are likely to arrive in the UK next year which introduce mandatory ransomware reporting and stronger regulatory powers.”

Businesses worldwide are at the mercy of digital breaches and attacks, including, by its own admission CyXcel itself. Commercially, legally, and strategically, CyXcel’s DRM platform is designed to tackle the issues it’s also at risk from.

CyXcel clients are typically bound by stringent cybersecurity laws, which, if broken, can result in fines and reputational damage. Similarly, if CyXcel’s advice falters, the company itself could be on the hook for failed compliance and breaches.

The company is at pains to stress thet it’s facing the same digital risks as its clients. CyXcel’s marketing materials state that the company’s commitment to risk isn’t advisory, it’s ‘personal.’

(Image “Risk – MSK” by anarchosyn is licensed under CC BY-SA 2.0)

See also: Huawei HarmonyOS 6 AI agents offer alternative to Android and iOS

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

[npi]

Multiple bridges on the Columbia River are vulnerable to ship strike, New York Times story notes

For the opening of our story here on The Cascadia Advocate about the collapse of the Francis Scott Key Bridge in Baltimore last week, I suggested that readers contemplate what would happen if there were a similar disaster on the maritime border between Washington and Oregon, writing: “Imagine if one of the vitally important bridges linking Washington and Oregon was hit by a big cargo ship and…

[dromologue]

In the midst of rapidly advancing technological progress, the rise of digitization and remote work has become a prevailing trend. As a result, critical infrastructures are increasingly susceptible to new risks, continually expanding the realm of cybersecurity threats and attack methods. Consequently, organizations are more inclined to entertain the notion of paying ransoms to threat actors. It is imperative for organizations to remain vigilant against these emerging threats to safeguard their systems. The recent proliferation of artificial intelligence (AI) technology has given rise to AI-powered cyber-attacks, which are experiencing exponential growth. This development has facilitated cybercriminals in creating sophisticated and innovative malware embedded with new zero-day vulnerabilities. AI-powered cyber-attacks leverage machine learning to adapt to evolving defenses and devise novel methods to circumvent them, all while remaining undetected. This enables them to establish an illicit, enduring presence within networks for the purpose of extracting highly sensitive data. In order to effectively counter advanced cyber-attacks, organizations must adopt a comprehensive approach and incorporate zero trust principles into their architecture. This involves: - Treating every device, node, or entity as a potential threat point. - Implementing explicit identification, authentication, and authorization measures. - Embracing a default deny model as opposed to a default access model. - Developing proactive incident response plans. - Providing cybersecurity best practices training for employees. - Deploying AI-powered cybersecurity solutions. We invite you to engage in thoughtful discourse on these topics, cultivating a clear understanding and exploring strategies for integrating zero trust into your scalable enterprise architecture.

[little-p-eng-engineering]

Little P.Eng.'s Comprehensive Seismic Structural Services Aligned with ASCE 7-22 and NBCC Standards

In an era where architectural ambition pushes the limits of engineering, safeguarding structural integrity against natural calamities, particularly seismic activities, becomes paramount. This detailed exposé delves into the sophisticated seismic structural engineering services provided by Little P.Eng., a firm renowned for its compliance with the latest American Society of Civil Engineers (ASCE) 7-22 standards and the Canadian National Building Code (NBCC). Their work spans across Canada and the United States, encompassing a diverse range of buildings and non-structural elements, reflecting the pinnacle of safety, reliability, and innovation in modern construction.

1. Introduction

The unpredictable nature of seismic activities has long posed a significant challenge to the realms of construction and civil engineering. Within this volatile environment, Little P.Eng. has emerged as a beacon of reliability, offering cutting-edge seismic structural engineering services across Canada and the United States. Their adherence to the ASCE 7-22 and NBCC codes ensures not only the structural integrity of vast construction undertakings but also the safety and longevity of non-structural elements, affirming their position at the forefront of seismic resilience in contemporary infrastructure.

2. Understanding Seismic Structural Engineering

2.1. The Science of Earthquake Engineering

Before delving into Little P.Eng.'s specialized services, one must understand the core principles of seismic structural engineering. This discipline focuses on making buildings and non-structural components resistant to earthquake shocks through specialized planning, design, detailing, and, subsequently, construction. It encompasses geological science, material engineering, and structural analysis to develop structures capable of withstanding seismic disturbances.

2.2. Evolution of Seismic Codes: From ASCE 7-10 to ASCE 7-22

Seismic building codes are dynamic, evolving in response to the continuous advancements in engineering research and catastrophic lessons learned from each seismic event. The transition from ASCE 7-10 to ASCE 7-22 is a reflection of this evolution, marking significant strides in risk reduction and structural robustness, emphasizing not just human safety but also post-earthquake functionality and rapid recovery for communities.

3. Little P.Eng.’s Integration of ASCE 7-22 in Seismic Structural Engineering

3.1. Innovations in Seismic Design Philosophies

Little P.Eng. employs a forward-thinking approach to integrate the innovations outlined in ASCE 7-22. These include state-of-the-art seismic design philosophies involving base isolation, energy dissipation devices, and performance-based seismic design (PBSD), allowing for structures that are more flexible, absorb and dissipate seismic energy, and maintain structural integrity during earthquakes.

3.2. Site-Specific Hazard Analysis and Geotechnical Considerations

One of the critical aspects of ASCE 7-22 is the emphasis on site-specific hazard analyses. Little P.Eng.'s engineers led by Meena Rezkallah carry out comprehensive geotechnical evaluations, considering soil-structure interaction, liquefaction potential, and site-specific seismic hazard assessments. By understanding the geological variances across different regions in North America, they ensure that each design is intrinsically aligned with its environmental context.

4. Adherence to NBCC Standards: Expanding Safety Parameters Across Canada

4.1. Bridging Policies between Countries

While their services in the United States predominantly adhere to ASCE standards, Little P.Eng. seamlessly bridges engineering policies between the U.S. and Canada by aligning their practices with the NBCC. This code compliance not only underscores their versatility in handling cross-border projects but also reflects their commitment to upholding the highest safety and professional standards in every geographical locale.

4.2. Understanding NBCC’s Seismic Provisions

The NBCC has distinct seismic provisions, necessitating specialized knowledge and an adaptive engineering approach. Little P.Eng.'s expertise in Canadian seismic codes ensures that structural and non-structural components comply with regional regulations, catering to Canada's unique seismic challenges, especially in high-risk provinces.

5. Comprehensive Services for Buildings and Non-Structural Elements

5.1. Diverse Building Typologies

Little P.Eng.'s portfolio encompasses a variety of buildings, from residential high-rises and expansive commercial complexes to critical facilities like hospitals and emergency response centers. Each building type presents unique challenges, and the firm’s nuanced, context-oriented approach to seismic retrofitting and sustainable design practices sets industry standards.

5.2. Protecting Non-Structural Components

Beyond the buildings themselves, Little P.Eng. extends its engineering prowess to safeguard non-structural elements. These components, often overlooked, can pose significant hazards during seismic events. From architectural elements to mechanical and electrical systems, the firm implements exhaustive strategies to enhance the safety of these components, thereby protecting human life and minimizing economic loss.

6. Future Directions and Continuous Advancements

6.1. Embracing Technological Innovations

As the field of seismic structural engineering advances, Little P.Eng. remains committed to incorporating new technologies, including artificial intelligence and machine learning, for predictive analysis, design optimization, and risk management. Their continual investment in technology positions them as a leader in future-proofing structures against earthquakes.

6.2. Contribution to Global Seismic Safety Standards

Harnessing Advanced Engineering: Little P.Eng.'s Comprehensive Seismic Structural Services Aligned with ASCE 7-22 and CNBCC Standards in North America

7. Conclusion

Little P.Eng.’s comprehensive seismic structural engineering services, grounded in the latest ASCE and NBCC standards, represent a confluence of scientific mastery, innovative engineering, and a deep commitment to safeguarding human lives and investments. Their work across diverse building typologies and non-structural components in Canada and the United States cements their stance as a pivotal player in shaping resilient, sustainable, and safe urban landscapes. As seismic activity remains an unpredictable threat, the foresight and innovation of firms like Little P.Eng. are society's best bet for a safer tomorrow.

References

[1] American Society of Civil Engineers. (2022). Minimum Design Loads and Associated Criteria for Buildings and Other Structures (ASCE/SEI 7-22). ASCE.

[2] National Research Council Canada. (2020). National Building Code of Canada.

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Located in Calgary, Alberta; Vancouver, BC; Toronto, Ontario; Edmonton, Alberta; Houston Texas; Torrance, California; El Segundo, CA; Manhattan Beach, CA; Concord, CA; We offer our engineering consultancy services across Canada and United States. Meena Rezkallah.