Understanding AI Bias and Why Human Intelligence Cannot Be Replaced

AI bias has the potential to cause significant damage to cybersecurity, especially when it is not controlled effectively. It is important to incorporate human intelligence alongside digital technologies to protect digital infrastructures from causing severe issues.

AI technology has significantly evolved over the past few years, showing a relatively nuanced nature within cybersecurity. By tapping into vast amounts of information, artificial intelligence can quickly retrieve details and make decisions based on the data it was trained to use. The data can be received and used within a matter of minutes, which is something that human intelligence might not be able to do.

With that said, the vast databases of AI technologies can also lead the systems to make ethically incorrect or biased decisions. For this reason, human intelligence is essential in controlling potential ethical errors of AI and preventing the systems from going rogue. This article will discuss why AI technology cannot fully replace humans and why artificial intelligence and human intelligence should be used side-by-side in security systems.

Inherent Limitations of AI

AI technology has significantly improved throughout the years, especially regarding facial recognition and other security measures. That said, while its recognition abilities have become superior, it is still lacking when it comes to mimicking human judgment.

Human intelligence is influenced by factors like intuition, experience, context, and values. This allows humans to make decisions while considering different perspectives, which may or may not be present in a data pool. As AI systems are still far from being perfectly trained with all the information in the world, they can present errors in judgment that could have otherwise not happened with human intelligence.

AI data pools also draw information from “majorities,” registering through information that was published decades ago. Unless effectively trained and updated, it may be influenced by information that is now irrelevant. For instance, AI could unfairly target specific groups subjected to stereotypes in the past, and the lack of moral compass could create injustice in the results.

One significant problem of using AI as the sole system for data gathering is that it can have substantial limitations in fact-checking. Data pools are updated day by day, which can be problematic as AI systems can take years to train fully. AI can wrongfully assume that a piece of information is false, even though the data is correct. Without human intelligence to fact-check the details, the risk of using incorrect data might cause someone to misinterpret crucial information.

Unfortunately, AI bias can cause significant disruptions within an algorithm, making it pull inaccurate or potentially harmful information from its data pool. Without human intelligence to control it, not only can it lead to misinformation, but it could also inflict severe privacy and security breaches. Hybrid systems could be the answer to this because they are better at detecting ethical issues or errors.

To Know More, Read Full Article @ https://ai-techpark.com/human-role-in-ai-security/ 

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The Top Five Software Engineering Certification Programs of 2024!

The digitized world relies heavily on computer-driven processes, and the demand for innovative software products and solutions is all-time high. Organizations and institutions are constantly reshaping their digital structure by investing in software tools and programs to enhance their productivity, streamline business operations, and ensure seamless communication. Therefore, the need to understand the countless opportunities this field can provide will be a major career for software developers. However, to add more credibility to the profession, software engineer certifications are needed that will help you get skilled, grow your knowledge, attain a higher salary, and advance your career.

In today’s exclusive AITech Park, we will explore the top five best software engineering certifications of 2024 that software developers can pursue to gain knowledge about the current trends in software development and also brush up their skills.

Amazon Web Services Certified Developer Associate

The first software engineering certification course on our list is from Amazon Web Services (AWS). The AWS Certified Developer Associate (AWS CDA) certification is used to teach software engineers how to create and deploy cloud-based web apps. Candidates who enroll in this program are required to know how to write applications using an API, AWS, command-line interface (CLI), and software development kits (SDK). The software engineers need to have at least two years of experience working with apps built on AWS before they take this course.

Certified Software Development Professional (CSDP)

The CSDP offered by the famous IEEE Computer Society focuses on upskilling experienced software developers with new technologies. The course validates a candidate’s proficiency in software engineering principles and practices that surround the entire software development lifecycle. Through this course, candidates need to display their knowledge of software requirements, configuration management, engineering management, engineering processes, and tools. The CSDP aims for professionals with a minimum of two years of experience and a postgraduate degree to get this certification.

Microsoft Certified: Azure Solutions Architect Expert (ASAE)

The ASAE certification validates software engineers’s expertise in designing, testing, and building cloud applications and services for the Microsoft Azure website. This course is customized for candidates with at least one year of experience as a software engineer, as this certification requires expertness in Azure SDKs, data storage options, data connections, APIs, app authentication and authorization, debugging, performance tuning, and monitoring.

Choosing the right certification course as a software developer is a strategic step that can signify enhancing your skills and market values. Therefore, before selecting any certification course, you need to think about a professional development plan that will guide you in the right direction.

To Know More, Read Full Article @ https://ai-techpark.com/top-5-software-engineering-certification-programs-of-2024/ 

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Top Five Popular Cybersecurity Certifications and Courses for 2024

In today’s world, where cyber attacks are becoming more sophisticated day by day, cybersecurity is becoming an essential aspect of running a business. Looking at the scenario, organizations hire cybersecurity professionals to upgrade their business security. They will look for individuals who are cybersecurity certified, along with having knowledge and experience on the subject, to perform their tasks well.

Therefore, to climb the career ladder and carve out a niche in cybersecurity, you need to find the right certification course that can make a difference in this competitive market. For a better understanding, AI Tech Park brings you the top five most popular cybersecurity certifications and courses for 2024.

CompTIA Security+

The CompTIA Security+ is a globally recognized cybersecurity certificate that measures and assesses candidates to level up their skills and validate their qualifications for cybersecurity professionals. The course allows IT professionals to understand topics on cyber attacks, incident response, architecture and design, governance and compliance, risk management, and cryptography. The exam structure is well-designed and updated annually according to the latest trends and techniques that will come in handy to solve complex issues.

Offensive Security Certified Professional (OSCP)

The OSCP program is specially designed for application security analysts, penetration testers, and ethical hackers who are directly dealing with the domain of penetration testing. This course will help you acquire in-depth knowledge of ethical hacking notions and expertise in compromising a series of target machines using multiple exploration steps. To apply for the OSCP program, candidates need to be familiar with offensive security and different operating systems; they must also be well-versed in Bash scripting, Python, and Linux.

Certified Information Systems Auditor (CISA)

The CISA was developed by ISACA, a well-respected membership organization committed to the advancement of digital trust. The course is designed for IT professionals with at least five years of professional experience in information systems auditing, control, or security work. The CISSP covers a broader scope of IT security that will help IT professionals show their expertise in evaluating security vulnerabilities, reporting on compliance, implementing and designing controls, etc.

In today’s interconnected world, the internet connects everything; therefore, businesses need to safeguard themselves from cyber attacks such as hacking, phishing, and remote access to devices. Therefore, cybersecurity certifications can help cyber experts understand the challenges and gain significant knowledge and skills in the field of cybersecurity.

To Know More, Read Full Article @ https://ai-techpark.com/top-5-popular-cybersecurity-certifications-2024/ 

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Tomorrow’s Transportation Will Rely on AI-Driven Cybersecurity’s Success

In an era where technology seamlessly integrates into every facet of our lives, the vision of the future of transportation, once dreamt in the mid-20th century, is becoming a reality. Landscapes are evolving, with the promise of enhanced connectivity, ease of travel, and the development of sprawling metropolises aimed at fostering a more harmonised society. This transformative period in transportation is not just about sleek designs, improved fuel efficiency, or advanced safety systems; it is about the underlying digital revolution that has turned vehicles from mechanical wonders into sophisticated, software-driven entities.

The marvel of modern vehicles extends far beyond their aesthetic appeal or physical innovations.  Today, vehicles are commonly referred to as data centres on wheels, equipped with digital interfaces that constantly communicate with manufacturers, receive over-the-air (OTA) software updates, and integrate advanced safety features, like LIDAR systems, to navigate complex environments. The once direct mechanical connection between the accelerator and the engine has been replaced by a digital command centre, where a simple press of a pedal is translated into a series of computations that ensure optimal performance and safety.

However, this digital evolution brings with it a looming shadow of vulnerability. The very systems that make modern vehicles a marvel of technology also exposes them to a myriad of cybersecurity threats. In recent years, the automotive industry has witnessed a concerning trend: an increase in cyber-attacks targeting not just the vehicles but the entire ecosystem surrounding their development, production, and maintenance. The 2021 attack on KIA Motors by the DopplePaymer group is a stark reminder of the potential consequences of inadequate cybersecurity measures. While no direct harm to drivers was reported, the incident underscored the risks of operational downtime, revenue loss, and eroding customer trust.

The question then becomes, what lies ahead? The potential targets for cyber-attacks are not limited to consumer vehicles but extend to government and municipal mass transit systems. The stakes are exponentially higher, with the threat landscape encompassing espionage, state-sponsored activities, and the emerging menace of AI-driven cyber threats. The complexity of modern vehicles, often containing upwards of 100 endpoints, including infotainment systems that store personal data, demands a cybersecurity strategy that transcends traditional approaches and international borders.

Protecting this data requires a proactive approach, one that involves hunting for threats, deceiving potential attackers, and adopting a mindset that places vehicle cybersecurity on par with data security across the rest of the organisation. It’s about creating a resilient shield around the digital and physical aspects of transportation, ensuring that innovation continues to drive us forward, not backward into an age of vulnerability.

To Know More, Read Full Article @ https://ai-techpark.com/future-ready-transportation-security/ 

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The Five Best Data Privacy Certification Programs for Data Professionals

With the increase in remote working, the technological landscape is gradually changing, bringing great importance to data and cybersecurity training for data professionals. Responding to this shift requires training solutions and courses that can be tailored according to their compliance priorities and accommodate different levels of expertise, knowledge, and exposure to data

The solution to this problem is data privacy certifications, which serve as an essential tool for professionals who seek to gain more knowledge on data privacy or understand the new privacy standards and requirements for securing organizational data.

Therefore, with this increasing effect of digitization, AI Tech Park brings you an exclusive article that will help you understand the top five trending certification courses that are crucial in this digital world.

Certified Information Privacy Professional (CIPP)

The International Association of Privacy Professionals (IAPP) offers the CIPP certification, which provides global awareness of the top privacy laws and practices to steer the complex landscape of privacy regulations. The program is recommended for professionals working as data protection and security experts who manage business and client information and work closely in related fields such as compliance, legal obligations, and data governance.

Certified Data Privacy Solutions Engineer (CDPSE)

The Information Systems Audit and Control Association (ISACA) introduced the CDPSE course for applicants with at least five years of professional experience in at least two domains specified in the exam content outline. The CDPSE  course is designed for data professionals, compliance officers, and software engineers and teaches them about data privacy in technology development, product creation, or process design.

PECB Certified Data Protection Officer (CDPO)

The Professional Evaluation and Certification Board (PECB) launched the CDPO course for experienced Data Protection Officers to gain the necessary knowledge, skills, and competencies to implement GDPR compliance programs. To earn the PECB Data Protection Officer certification, candidates must clear an exam, gain a minimum of five years of professional experience as a data professional, complete 300 hours of data protection by the institutes, and also have a minimum of five years of professional experience.

With technological advancements in the business world, data breaches have become a common trick for cyber attackers, and to highlight this as a challenge, privacy regulations have become stricter. This announces the role of data professionals who can work as guides and revolutionize the data privacy landscape. However, to be a trusted data professional and leader, you need to choose the right certification courses from the above list that will not only validate your expertise and knowledge on the subject but also establish an authoritative approach in the field of data privacy, security, and protection.

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Analyzing the Rapid Growth of Deepfake Technology

In the last few years, we have witnessed that the digital landscape’s boundary between reality and fiction has become increasingly blurred thanks to the advent of deepfake technology. While the intention of developing deep fake technology was purely for entertainment and other legitimate applications, in recent times it has become infamous for spreading misinformation. This technology can also manipulate the cybersecurity domain by confusing or influencing users, exploiting their trust, and bypassing traditional security measures.

Numerous cybersecurity experts have raised questions about deep fake technology playing a multifaceted role and risking national security and prohibited information sources.

Today’s exclusive AITech Park article will explore the nature, risks, real-life impacts, and measures needed to counter these advanced threats.

Decoding DeepFakes

At its core, deep fakes are a part of artificial intelligence (AI) and machine learning (ML) that leverages sophisticated AI algorithms to superimpose or replace elements within audio, video, or images and develop hyper-realistic simulations of individuals saying or doing things they never did.

As the availability of personal information rises online, cybercriminals are investing in technology to exploit deep fake technology, especially with the introduction of social engineering techniques for phishing attacks, as it can mimic the voices and mannerisms of trusted individuals. Cyber attackers orchestrate complicated schemes to mislead unsuspecting targets into revealing sensitive information or transferring funds.

The Progression of Deep Fakes

Deepfakes have opened a new portal for cyber attackers, ranging from suave spear-phishing to the manipulation of biometric security systems. Spear phishing is a common form of deep fake phishing that develops near-perfect impersonation of trusted figures, making a gigantic leap by replicating writing style, tonality, or mincing exact email design. This realistic initiation of visuals and voice can tend to pose an alarming threat to organizations and stakeholders, raising serious concerns about privacy, security, and the integrity of digital content.

For instance, there are cases registered where cyber attackers impersonate business associates, vendors, suppliers, business partners, or C-level executives and make payment requests, demand bank information, or ask for invoices and billing addresses to be updated to steal sensitive data or money. Another example is business email compromise (BEC), which is a costlier form of cybercrime, as these scams are possibly conducted for financially damaging organizations or individuals.

In this era of digitization, we can say that we are navigating the uncharted territory of generative AI (GenAI), where we need to understand the importance of collaboration, stay vigilant, and take measures to combat the threat of deepfakes. The question here shouldn’t be whether we can completely eradicate the threat but how we acclimate our strategies, systems, and policies to mitigate deepfake threats effectively.

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The Top Six Quantum Computing Trends for 2024

In the past few years, we have witnessed rapid advancements in the field of quantum computing (QC), which triggers the potential revolutionization in various industries, such as healthcare, supply chain, and manufacturing. This technology can perform complex computations at an unimaginable speed when compared to classical computers, even against quantum threats.

According to the National Institute of Standards and Technology (NIST), the post-quantum cryptography (PQC) standards are expected to be completed by 2024, allowing quantum vendors and experts to keep up with the six QC trends that intersect machine learning (ML) and artificial intelligence (AI).

In today’s exclusive AI Tech Park article, we will delve into the top six quantum computing trends for 2024, providing detailed insight for quantum vendors and experts to harness the transformative power of this cutting-edge technology.

Quantum-Sensing Technologies

The implementation of quantum sensing technologies will enable IT organizations, quantum vendors, and experts to achieve unprecedented levels of sensitivity and precision in measuring and detecting applications. In 2024, businesses will leverage quantum sensor tools and applications for environmental monitoring, medical diagnostics, and mineral exploration to gather actionable insights and make informed decisions based on highly accurate data.

Quantum-Safe Cryptography

With the arrival of quantum computers, traditional cryptographic algorithms will become absolute and vulnerable to quantum attacks. Therefore, organizations will adopt quantum-safe cryptography solutions and technology to protect their sensitive data and communications from quantum threats. The implementation of quantum-safe algorithms, such as quantum key distribution or lattice-based cryptography, will become essential tools for securing digital assets and guaranteeing data privacy in a post-quantum world.

Quantum Machine Learning

Quantum computing, when intersected with ML, enables businesses to leverage quantum algorithms for pattern recognition, optimization, and predictive analytics. The quantum machine learning (QML) algorithms will unlock new insights from large data sets, accelerate model training processes, and enable more accurate predictions in numerous domains. The quantum vendors and experts can further explore the possibilities of integrating QML into the data and analysis section to make data-driven decisions to streamline innovation and develop a competitive advantage in this digital world.

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President and CEO of Axiado, Gopi Sirineni – AI-Tech Interview

As President and CEO at Axiado, please share your background in AI-enabled hardware security.

As the President and CEO of Axiado, my journey in AI-enabled hardware security has been both challenging and exhilarating. Over the past four years, I’ve leveraged my extensive experience from IDT, Marvell and Qualcomm to drive innovation in this field. My background in the wired and wireless networking industry has been crucial in understanding and advancing these technologies.

I’m often referred to as a ‘thrill-seeking CEO,’ a title that reflects my love for extreme sports like skydiving and bungee jumping, as well as other active sports like basketball and cricket. These activities are more than hobbies for me; they symbolize my approach to business—taking calculated risks, embracing challenges, pushing my limits and constantly striving for excellence.

One of the most exciting technology developments I’ve witnessed in my career is the advent of generative AI. I believe it’s the most significant innovation since the smartphone, with the potential to revolutionize various sectors.

What inspired you to lead Axiado in addressing security challenges in cloud data centres and 5G networks?

In this rapidly evolving threat landscape, Axiado saw an opportunity to provide a new approach to cybersecurity and embarked on a mission to conceive a solution that would fortify existing security frameworks. This solution is designed to be reliable, self-learning, self-defending, AI-driven, and fundamentally anchored within hardware. This ambitious vision ultimately gave birth to the concept of trusted compute/control units (TCUs), a meticulously crafted solution designed from inception to deliver comprehensive security for data center control and management ports.

Can you provide an overview of AI-enabled hardware security against ransomware, supply chain, side-channel attacks, and other threats in cloud data centres and 5G networks?

According to IBM Security’s most recent annual Cost of a Data Breach Report, the average cost of a data breach reached a record high of $4.45 million in 2023. The report concluded that AI technology had the greatest impact on accelerating the speed of breach identification and containment. In fact, organizations that fully deployed AI cybersecurity approaches typically experienced 108-day shorter data breach lifecycles and significantly lower incident costs (on average, nearly $1.8 million lower) compared to organizations without AI these technologies.

The ability of a hardware-anchored, AI-driven security platform to continuously monitor and perform run-time attestation of cloud containers, platform operating systems, and firmware creates efficiencies that help reduce time spent investigating potential threats. A hardware solution that integrates AI into a chip can analyze behaviors and CPU usage. This enables it to immediately investigate anomalies in user activity. With this approach, networks can no longer be infiltrated because of software vulnerabilities or porous firmware. AI technology enables heterogeneous platforms that include root-of-trust (RoT) and baseboard management controllers (BMCs) to offer hierarchy and security manageability. By deterring cybercrime at the hardware level, the industry can finally address the long-standing shortfalls of online security.

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AI-Tech Interview with Dr. Shaun McAlmont, CEO at NINJIO Cybersecurity Awareness Training

Shaun, could you please introduce yourself and elaborate your role as a CEO of NINJIO?

I’m Shaun McAlmont, CEO of NINJIO Cybersecurity Awareness Training. I came to NINJIO after decades leading organizations in higher education and workforce development, so my specialty is in building solutions that get people to truly learn.

Our vision at NINJIO is to make everyone unhackable, and I lead an inspiring team that approaches cybersecurity awareness training as a real opportunity to reduce organizations’ human-based cyber risk through technology and educational methodologies that really change behavior.

Can you share insights into the most underestimated or lesser-known cyber threats that organisations should be aware of?

The generative AI boom we’re experiencing now is a watershed moment for the threat landscape. I think IT leaders have a grasp of the technology but aren’t fully considering how that technology will be used by hackers to get better at manipulating people in social engineering attacks. Despite the safeguards the owners of large language models are implementing, bad actors can now write more convincing phishing emails at a massive scale. They can deepfake audio messages to bypass existing security protocols. Or they can feed a few pages of publicly available information from a company’s website and a few LinkedIn profiles into an LLM and create an extremely effective spearphishing campaign.

These aren’t necessarily new or lesser-known attack vectors in cybersecurity. But they are completely unprecedented in how well hackers can pull them off now that they’re empowered with generative AI.

With the rise of ransomware attacks, what steps can organisations take to better prepare for and mitigate the risks associated with these threats?

The first and biggest step to mitigating that risk is making sure that everyone in an organization is aware of it and can spot an attack when they see one. It took a ten-minute phone call for a hacking collective to breach MGM in a ransomware attack that the company estimates will cost it over $100 million in lost profits. Every person at an organization with access to a computer needs to be well trained to spot potential threats and be diligent at confirming the validity of their interactions, especially if they don’t personally know the individual with whom they’re supposedly speaking. The organizational cybersecurity culture needs to extend from top to bottom.

Building that overarching cultural change requires constant vigilance, a highly engaging program, and an end-to-end methodological approach that meets learners where they are and connects the theoretical to the real world.

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Navigating the Mirage: Deepfakes and the Quest for Authenticity in a Digital World

The potential for deepfakes to sway public opinion and influence the outcome of India’s Lok Sabha is raising red flags throughout the cyber community. While Indians are deciding on which candidate best represents their views, deepfakes, and generative technologies make it easy for manipulators to create and spread realistic videos of a candidate saying or doing something that never actually occurred.

The Deepfake threat in politics

The use of deepfakes in politics is particularly alarming. Imagine a scenario where a political candidate appears to be giving a speech or making statements that have no basis in reality. These AI-generated impersonations, based on a person’s prior videos or audio bites, can create a fabricated reality that could easily sway public opinion. In an environment already riddled with misinformation, the addition of deepfakes takes the challenge to a whole new level.

For instance, the infamous case where Ukrainian President Volodymyr Zelensky appeared to concede defeat to Russia is a stark reminder of the power of deepfakes in influencing public sentiment. Though the deception was identified due to imperfect rendering, there is no way of knowing who believes it to be true even after being disproved, showcasing the potential for significant political disruption.

Deepfakes as a danger in the digital workplace

Employees, often the weakest link in security, are especially vulnerable to deepfake attacks. Employees can easily be tricked into divulging sensitive information by a convincing deepfake of a trusted colleague or superior. The implications for organisational security are profound, highlighting the need for advanced, AI-driven security measures that can detect anomalies in user behaviour and access patterns.

The double-edged sword of AI in cybersecurity

However, it’s important to recognize that AI, the very technology behind deepfakes, also holds immense capabilities to help hackers discover cybersecurity loopholes and breach business networks. While AI may help discover new vulnerabilities for threat actors, it also can be used to discover counter-measures, such as identifying patterns in data that would have otherwise gone unnoticed.

A system can then flag the potential Deepfake content and remove it before it achieves its goal. This can help bridge the global skills gap in cybersecurity, enabling analysts to focus on strategic decision-making rather than sifting through endless data.

Companies must prioritise AI-driven cybersecurity solutions as part of a broader, company-wide approach that intertwines safety with quality across all aspects of their operations. From online behaviour to development processes, a centralised AI- ingested understanding of an organisation’s baseline is crucial. Such technologies can identify breaches in real time, whether perpetrated by external threat actors or employees misled by deepfakes. This proactive stance is essential for maintaining integrity and security in a digital landscape increasingly complicated by AI technologies.

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