#critical infrastructure

[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

[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

[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…

[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.

Tags:

Little P.Eng.

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Seismic Bracing Experts

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.

[jcmarchi]

Digital Warlords: The AI Identity Security Threat That Will Redefine Organizational Survival

New Post has been published on https://thedigitalinsider.com/digital-warlords-the-ai-identity-security-threat-that-will-redefine-organizational-survival/

Digital Warlords: The AI Identity Security Threat That Will Redefine Organizational Survival

I’ve seen many evolutions of threats in my years as a cybersecurity CEO, but nothing compares to the danger emerging right now. Organizations are facing a new breed of adversary—Digital Warlords—AI-powered adversaries who have fundamentally redesigned the identity vulnerability in enterprises. These aren’t your traditional bad actors; they’re sophisticated operators wielding AI to expand their cybercrime initiatives from individual attacks into systematic campaigns of digital warfare.

Understanding the Identity Security Crisis

Before we dive deeper, let’s understand what’s at stake. Service accounts—the automated, non-human identities that keep our digital infrastructure running—have become the preferred entry point for sophisticated attackers. These accounts operate silently in the background, often with elevated privileges and minimal oversight, making them perfect targets for exploitation.

The AI Amplification Effect

Let me be direct: AI has transformed identity-based cybercrime attacks from a targeted individual activity into a scalable systemic operation that can dismantle entire organizations without the right tools and identity security teams. This isn’t fear-mongering; it is a strategic wake-up call about widespread identity vulnerabilities.

The intersection of AI and identity vulnerabilities creates a perfect storm. AI enables attackers to:

Automate the discovery and exploitation of forgotten credentials

Scale attacks across multiple systems simultaneously

Deploy sophisticated social engineering tactics

Operate at machine speed, outpacing human defenders

Take the recent Wiz CEO incident—an attack that perfectly illustrates this new identity vulnerability landscape. Attackers used AI to replicate an executive’s voice with such precision that they authorized a fraudulent transfer, bypassing traditional security measures. This isn’t just a sophisticated hack; it’s a glimpse into a new era of identity infiltration where the line between real and artificial becomes dangerously blurred.

Agent AI: The Non-Human Security Assistant

While digital warlords are weaponizing AI to scale their attacks, organizations are deploying their own AI-powered solutions to strengthen their security posture. These helpful AI agents, which are considered non-human identities, never get tired and can continuously monitor potential identity vulnerabilities, investigate suspicious behavior and speed up security professionals’ response times to security threats.

To be clear, AI agents cannot replace a robust security team. Rather, they are an elite tool in an organization’s arsenal against cyber adversaries. These agents can process large quantities of alerts, identify complex attack patterns and predict potential identity vulnerabilities before they are exploited. What makes this tool truly elite is its ability to learn and adapt. As AI agents defend an organization’s network, they establish a baseline of normal behavior, allowing for abnormalities to be spotted decisively.

For overwhelmed security teams, AI agents serve as reliable assistants who can help at a moment’s notice. Change the tides of battle in identity security from a reactive fight into a proactive defense, dramatically reducing response times and human error, and allowing organizations to scale identities efficiently and effectively.

The Hidden Identity Ecosystem

The threat landscape has fundamentally changed. A decade ago, cybersecurity was focused primarily on protecting human users and their credentials. Today, machine identities have exploded across the infrastructure. Recent assessments reveal a startling reality: for every human user in an organization, 40 connected non-human identities are operating in the background. This explosive growth in machine identities creates an unprecedented challenge as these machine identities often live in various environments across an organization, making them a headache to track without the right tools.

The statistics from enterprise vulnerability assessments tell a sobering story:

465% increase in discovered service accounts across both cloud and on-premise environments

55% of identity accounts were found to be dormant or forgotten

255 service account passwords unchanged for over 12 years

Imagine a ticking time bomb hidden within your organization’s digital infrastructure: a service account created years ago, forgotten by an employee long since departed, yet still holding the keys to your most critical systems. These dormant identities are the perfect hunting ground for what I call Digital Warlords—cybercriminals who have transformed from talented bad actors into strategic predators, weaponizing AI to amplify their reach and precision. As they lie dormant in an enterprise’s network, any credentials they acquire in the system can help them expand their attacks beyond the initial breach.

The Regulatory Transformation

The regulatory landscape is rapidly evolving to address these emerging threats. We’re witnessing a fundamental shift in how authorities and governments view digital identities. Security frameworks that once treated human and machine identities as separate entities are being redesigned to reflect the interconnected reality of modern IT infrastructure.

The traditional separation between human and machine identities is collapsing. Regulators are beginning to recognize what we at Anetac have been saying: tokens, service accounts, and APIs are no longer peripheral—they are central to an organization’s identity ecosystem. This shift is comparable to how automotive safety evolved—seatbelts existed in the 1950s, but mandating them came much later.

Strategic Threats Beyond Traditional Boundaries

Nation-state actors are taking notice. Top security agencies like CISA, NSA, and FBI are warning that critical infrastructure is increasingly at risk. Recently, CISA directed federal agencies to secure their cloud environments. These aren’t just theoretical threats—they’re strategic attempts to disrupt healthcare systems, supply chain operations, financial service infrastructures and other aspects of civilian life.

The battlefield has shifted into what security experts call the ‘Gray Zone’—a shadowy realm between peace and war where nation-states deploy Digital Warlords as their cyber mercenaries. These actors exploit forgotten service accounts and dormant machine identities to wage warfare that never triggers traditional military responses. It’s a new kind of conflict where the weapons are credentials, the soldiers are AI-powered algorithms, and the casualties are the critical systems that power our daily lives. The evidence is stark: Microsoft has reported in the past a dramatic jump in cyber attacks targeting critical infrastructure. This dramatic surge reflects a new reality where forgotten service accounts and dormant machine identities become weapons of choice for state-sponsored actors.

What makes these Digital Warlords truly dangerous is their ability to operate at unprecedented scale and speed. A malicious actor can now activate a dormant account at 1 a.m., execute privileged commands, and vanish by 1:01 a.m.—all without triggering traditional security alerts.

The Investment Landscape of Cyber Defense

The cybersecurity investment landscape is already shifting. Venture capitalists are positioning their investments toward solutions that can demonstrate:

Precise AI model-driven use cases

Dynamic visibility strategies

Real-time anomaly detection

Predictive threat intelligence

My advice is direct: Penetration testing teams must prioritize identity vulnerability assessments that comprehensively map both cloud and on-premise identity landscapes.

Start with a thorough assessment of identity-based vulnerabilities. Integrate security deeply into your identity management strategy. Develop a governance framework that provides unprecedented visibility into every authenticating entity.

The alternative isn’t just risking a breach—it’s risking organizational extinction through unchecked identity vulnerabilities.

This is the age of Digital Warlords. And they’re only just beginning to expand their attacks on your most invisible assets—machine identities.

[yodasec-expose-news]

Unveiling the Latest Updates on the Chinese Cyber Army's Targeting of the Texas Power Grid

Introduction: Understanding the Threat Posed by the Chinese Cyber ArmyChina’s cyber army, including state-sponsored hacking groups affiliated with the People’s Liberation Army (PLA), such as “Volt Typhoon,” has been reported to target critical infrastructure and military installations in various locations, including Guam, Hawaii, and Texas[1]. The Chinese Ministry of State Security-affiliated…

[disasterriskreductionday]

Good governance and preparation are key to reducing the vulnerability of critical infrastructure.

Of the 7 #SendaiFramework targets, Target D focuses on reducing disaster damage to critical infrastructure. Here's what that means: