Tag: Cyberattacks

The COVID-19 pandemic has brought mental health to the forefront, with over a billion people annually seeking help from therapists and clinicians to address issues like depression, anxiety, and suicidal ideation. This rising demand has pushed healthcare and therapeutic institutions to adopt smarter technologies like artificial intelligence (AI) and machine learning (ML) to enhance patient care and mental well-being.

Recent studies published in the Journal of the American Medical Association (JAMA) reveal that advanced AI and large language models (LLMs) can scale mental health therapies by analyzing millions of counseling session transcripts, predicting patient issues, and facilitating better clinical outcomes.

AI’s ability to deliver more precise diagnoses marks a transformative step in mental healthcare, promising significant improvements in the sector.

In today’s AI Tech Park feature, we delve into how AI is reshaping mental healthcare:

Enhancing Mental Health Therapies with AI

While AI has made significant strides in fields like radiology and oncology, its adoption in mental healthcare has been relatively limited. Diagnosing mental health conditions requires an intricate understanding of genetic, epigenetic, environmental, and social factors, far more nuanced than the measurable metrics of physical illnesses.

Mental health professionals rely on establishing strong emotional connections with patients and analyzing subjective data like patient statements and clinician notes. These qualitative factors pose challenges for training AI and ML models.

Despite these complexities, AI’s pattern recognition capabilities hold immense promise. By streamlining workflows and supporting clinical decision-making, AI can improve diagnostic accuracy and enhance mental health treatment strategies.

The Future of Digital Psychiatry

The future of mental healthcare lies in leveraging large, high-quality datasets to optimize AI and ML models. Deep learning can simplify the management of complex data, ensuring accurate insights at critical moments. Transfer learning, a method of enhancing ML model performance, will become pivotal in areas like image analysis to achieve more precise clinical outcomes.

AI’s advancements in healthcare have already revolutionized surgery, drug discovery, and disease diagnosis. In mental healthcare, the potential is equally transformative, though challenges like bias, accuracy, and data security require careful management.

With continued innovation and collaboration, AI and ML technologies can offer robust solutions that empower mental health professionals and improve patient outcomes, paving the way for a brighter future in digital psychiatry.

To Know More, Read Full Article @ https://ai-techpark.com/mental-healthcare-with-artificial-intelligence/

Read Related Articles:

Introduction of Data Lakehouse Architecture

top 5 data analytics tools in 2024

Roy, could you start by sharing your journey from your role in Israeli cyber defense to co-founding Rezonate and your vision for the company?

Yes, thank you for the opportunity to share. I headed Israeli Cyber Defense Operations, where I was responsible for defending Israel’s critical infrastructure and public companies against cyber attacks, cyber terror, and digital espionage. My mission during over 20 years of service was to develop cutting-edge technology and lead cyber defense operations. I was also part of the founding team of NISA, Israel’s equivalent of the NSA, and established alliances with numerous countries and business partners.

I moved to Boston eight years ago to pursue my MBA at MIT Sloan. Following that, I served as the VP of Product Incubation at Cybereason. I founded three market-changing lines of business, including Cybereason’s flagship XDR product and its strategic partnership with Google Cloud. My journey has always been about pushing boundaries and innovating in cybersecurity around new challenges. When we realized that identity was the new perimeter in security operations, we saw that organizations still struggle to protect it. We had many ideas for revolutionizing identity security technology, so we started Rezonate.

What do you see as the most pressing issues currently facing identity access management, and how are these challenges impacting enterprises?

The shift to the cloud has been monumental, even accelerating during economic downturns for cost-saving and efficiency. Traditional endpoint and network-centric security needed to evolve to include cloud-forward environments. Users and machines have become the new focal points for both defenders and attackers. With 85% of attacks stemming from compromised identities, legacy systems cannot sufficiently protect them. That’s why my partner, Ori Amiga, and I saw a unique opportunity to challenge these outdated approaches on both the cybersecurity and identity and access (IAM) sides with an innovative identity-centric security solution, leading to the founding of Rezonate.

Can you explain the role of identity security posture management (ISPM) and its importance in today’s security landscape?

Identity security posture management is critical for reducing your identity attack surface. Understanding what your security controls are, monitoring identities to ensure they have the least privileged access, and being able to remediate access automatically when a risk or threat is detected. ISPM helps you identify and prioritize high-risk identities: Spots accounts with excess privileges, dormant accounts, misconfigured access, and elevated risk profiles. Posture management also streamlines the remediation process. Implementing ISPM supports regulatory compliance, enhances audit performance, and ensures effective policy enforcement. It also helps organizations to continuously monitor security issues and enforce best practices and policies.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-roy-akerman/

Related Articles -

Transforming Business Intelligence Through AI

Explainable AI Is Important for IT

Yashin, to kick things off, could you share what inspired you to transition from a career in academia and engineering to founding Pvotal Technologies?

Growing up, I thought a lack of proper education was the root of many societal issues and inefficiencies.

Idealistically, I entered academia thinking I could become a professor who would nurture the issues leading to a wavering generation of talent, innovation, and development. Unfortunately, I quickly realized how some processes were limiting, stifling, and stuck in an antiquated age.

I could not build or address problems I saw in my niche field due to software issues, data breaches, the high cost of licensing fees for some critical tools, and the poor integration of tools. These issues led me to lose thousands of hours in frustration fixing technical problems rather than focusing on my growth, thesis, and research. The tools I used became a greater source of frustration than my research, constantly distracting me from my objectives.

My skills and resolve were too limited to reform academia from within, so I decided to focus on the issues within the software industry to limit the problems that more talented academics faced. I co-founded Pvotal with Ashley to build a new generation of solutions that helped customers focus on the value they bring to customers rather than get stuck in an iterative cycle of integrating code and debugging updates.

Pvotal emphasizes creating “Infinite Enterprises.” Could you explain what this concept entails and how it aligns with your overall mission?

While many industries have adopted different interpretations of the ideal Infinite Enterprise, we believe the “infinite enterprise” is any company that has achieved an infinitely scalable, independent, resilient, and secure infrastructure. Once these criteria are met, we observed that it allows businesses to truly innovate, improve, and elevate their value proposition to customers.

The age-old adage of teens or some fresh graduates going into “founder mode” can build the next generation of software in their proverbial garage, shared workspace, or dorm room is simply no longer possible.

The rise of hyperspecialization, wanton integration of third-party code or vendors, and the unmanaged accumulation of technical debt has led most software companies to become antiquated, vulnerable, and overbloated pieces of code that can no longer efficiently protect their customers’ data, provide a competitive edge to their users, and have a reasonable cost/utilization footprint.

Most modern enterprise software has at least 17 paid or free SaaS, PaaS, and third-party code powering its operation or development. With a tough economy, inflation, and squeezed supply chains, these different services are forced to raise prices continually, thus shifting the burden on the end consumer. In addition to the increasing costs, these software are often abandoned or introduce vulnerabilities to the enterprise supply chains, which is why we have experienced a record-breaking number of successful cyberattacks, ransomware, and fraud every year for the past decade.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-yashin-manraj/

Related Articles -

Evolution of Lakehouse Architecture

Top Five Open-Source Database Management Software

Trending Category - IOT Smart Cloud

As the world navigates through 2024, cybersecurity gets more unpredictable and dangerous. With increased sophisticated cyberattacks like ransomware, phishing, and APTs, there has never been a higher demand for cybersecurity professionals. But after the rising tide, the industry stands at a significant skills gap, presenting organizations with vulnerabilities to breaches and data theft.

Following a report by ISC², there is a lack of more than 3.4 million cybersecurity workers across the world. The gap becomes an important threat to diverse organizations, majorly finance, healthcare, and technology-related businesses that are more vulnerable to cyber attacks. As we head to the future, B2B businesses need to invest in the next generation of cybersecurity talent and equip them with crucial knowledge and skills to offer sensitive data and systems protection.

This is your roadmap for the business to educate professionals in cybersecurity across all types of skills with education and strategies to create the best plan of workforce development.

The Growing Need for Cybersecurity Talent in 2024 and Beyond

Current Workforce Shortage

Business operations in almost every corner of the globe are being adversely affected by a severe challenge: an acute shortage of cybersecurity professionals. According to Cybersecurity Ventures, by 2025, cybercrime will reach $10.5 trillion in annual damages worldwide, representing an even greater need for experts in that field. There are not enough trained professionals to fill such a high demand. This presents a challenge to businesses, particularly those sectors dealing with sensitive data, such as healthcare, government, and finance.

Evolving Threats

The 2024 threat landscape is not only about malware and phishing schemes. Organizations are becoming increasingly subjected to more advanced attacks, like ransomware-as-a-service (RaaS), attacks by nation-state entities, and supply chain attacks—all of which make much greater technical capability demands than traditional IT knowledge requires. It is thus crucial to train professionals who can predict the magnitude of new threats.

The Role of New Technologies

Emerging technologies such as artificial intelligence (AI), machine learning (ML), and cloud computing are impacting the cybersecurity sector with new vulnerabilities; therefore, professionals have to become adept at securing these systems; thus, the urgency for cybersecurity knowledge coupled with cutting-edge tech becomes highly integral in the future workforce.

To Know More, Read Full Article @ https://ai-techpark.com/preparing-the-next-generation-of-cybersecurity-professionals/

Related Articles -

Data Privacy With CPOs

Emergence of Smart Cities in 2024

Trending Category - Mobile Fitness/Health Apps/ Fitness wearables

In the digital world, data is the lifeline of any business, be it trade secrets, sales records, customers’ personal data, and other sensitive information. Organizations use this data to create innovations and increase their long-term client base.

However, the current situation is quite different, especially with this surge in cyberattacks, insider threats, and phishing attacks. In a recent report by Forbes, it was witnessed that in 2023, security breaches saw a 72% increase from 2021, which held the previous record. Hence, protecting this data has never been so important.

Organizations can use data loss prevention (DLP), an indispensable tool that monitors, identifies, and protects sensitive data from unauthorized access and leakage, to prevent data loss.

DLP also aids organizations in meeting regulatory mandates such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). These laws and regulations are stringent obligations in an organization that secures sensitive data and notifies the security teams during data breaches. With the help of DLP solutions, CISOs, CIOs, or IT managers can ensure that the right employees are accessing the right data for the correct reason.

For a better understanding of this subject, today’s AITech Park article will discuss data loss prevention, how it functions, software solutions, and the latest strategies and policies organizations can implement for stronger data security.

Reasons for Data Loss in Organizations

With the growing digital data and increasingly sophisticated cyber threats, data loss has become a primary concern for organizations worldwide, and data breaches, data leakage, or data exfiltration commonly cause this data loss.

Cybercriminals steal and transfer data from a network or device in data exfiltration. This act can be conducted by insiders or outsiders who generally perform cyberattacks such as DDoS attacks or phishing, and such data are exfiltrated through login credentials and intellectual property.

insider threats are extremely dangerous because the hazards come from within the company, leaving sensitive data vulnerable to exploitation. According to the website Check Point, it was observed that 43% of all breaches are insider threats, either intentional or unintentional, through company employees or former employees, contractors, and business associates.

It is witnessed that breaches often occur due to employees’s negligence, and there are numerous reasons such as weak security practices, execution of poor cybersecurity training programs, and not applying the principle of least privilege (POLP). Therefore, organizations need to provide comprehensive cybersecurity training for their employees so they comprehend the significance of keeping company data and personal data safe from antagonists.

CISOs, CIOs, or IT managers should also focus on creating strategies around DLP solutions and train employees to adopt cybersecurity best practices when performing their work.

To Know More, Read Full Article @ https://ai-techpark.com/data-loss-prevention-in-digital-world/

Related Articles -

AI in Drug Discovery and Material Science

Rise of Deepfake Technology

Trending Category - IOT Wearables & Devices

As cyberattacks advance in their sophistication and frequency, traditional cybersecurity defenders-the firewalls, antivirus software, even intrusion detection systems-are no longer sufficient in protecting companies. Organizations are bound to face advanced persistent threats (APTs), ransomware, as well as insider attacks in 2024 that often go undetected by automated detection tools. This makes proactive cybersecurity a dire necessity.

According to new research findings, the average amount of time taken before it is possible to detect a breach stands at more than 200 days, which is a very long window for cyberthieves to siphon sensitive data and cripple business operations.

This mainly occurs in B2B organizations operating within the finance, healthcare, and technology sectors, as these sectors are mainly characterized by sophisticated attackers seeking high-value data. However, the only solution is in cyber threat hunting-a proactive security approach aimed at detecting threats before they trigger damage.

In the guide here, we will cover the most important steps to implement a robust cyber threat hunting strategy tailored for 2024-overview of all the skills, processes, and technologies that will help in keeping your business safe.

What is Cyber Threat Hunting?

Cyber threat hunting is one of the proactive cyber security practice wherein the trained and well-equipped security analysts proactively search for hidden or undetected threats within an organization’s network.  While the traditional monitoring systems passively wait for alerts, the threat hunters search for malicious activity or a weakness that can be exploited.

Why It Matters in 2024

Today, the threat landscape for cyber defence is no longer passive but active detection. Attackers are continually evolving by attempting to evade detection with tactics like lateral movement, credential dumping, and fileless malware. Threat hunting becomes very critical in this approach since it looks beyond waiting for automated tools to flag an anomaly and instead hunts for and discovers sophisticated attacks made to evade traditional defenses.

Common Cyber Threats in 2024

Some of the prominent threats businesses will face in 2024 include the following:

Advanced Persistent Threats (APTs): Organized cyberattacks that siphon off data for long periods of time without being detected.

Ransomware: A ransomware attack encrypts a victim’s data and demands payment in lieu of providing decryption keys.

Insider Threats: It is an employee or contractor who intends to do evil or shows malacious carelessness in doing his duty that might lead to security breaches.

Zero-Day Exploits: In this case, attacks exploit vulnerabilities that have not been patched yet.

To Know More, Read Full Article @ https://ai-techpark.com/implementing-cybersecurity-threat-hunting/

Related Articles -

Data Governance and Security Trends in 2024

Intersection of AI And IoT

Trending Category - Mental Health Diagnostics/ Meditation Apps

Chief Information Security Officers (CISOs) have some serious responsibilities on their shoulders as they single-handedly carry the security policies and enforcement, which are directly proportionate to an entire company’s success or downfall.

CISO’s insights and knowledge allow a company to balance out supporting its internal team while guarding the organization’s data and infrastructure.

However, in recent years, CISOs have witnessed shifts in the cybersecurity realm; especially with the technological advancements, cyberattacks such as phishing have increased by 58%, consisting of 90% data and 42% malware and ransomware attacks, affecting millions of users yearly (Cisco).

Even with the latest security protocols and software, it is only possible to fully protect against cyber threats with proper security awareness and strategies.

Therefore, to protect your company from an avoidable phishing attempt, AITech Park brings you a comprehensive guide on the different types of phishing attacks and how CISOs and their internal teams can handle them.

For a better understanding, let’s dive into the different types of new-age phishing attacks:

Email Phishing

Email phishing is the oldest and most common form of phishing, where scammers send spam emails to as many people as possible, hoping that a fraction of the targets fall for the attack. As per a recent study by Deloitte, it was witnessed that 91% of cyberattacks begin with email phishing and 32% of successful breaches involve the use of phishing techniques.

Cyberattackers often impersonate any well-known or legitimate brands and target their victim through those brands.

How to Spot Spam Emails?

Scammers often write email subject lines that are more appealing with strong emotions or create a sense of urgency. The body of the email instructs the recipient to take reasonable actions that deal with sensitive information or downloading malware. For instance, a phishing link might read, “Click here to update your profile.” When the victim clicks that malicious link, it takes them to a fake website that embezzles their login credentials.

Deepfake Scams

With rapid development in AI technology, deepfake has become more accessible to users. In recent research by Egress, 63% of cybersecurity personnel surveyed were worried about the cyber attacks introduced by deepfakes. To battle these types of attacks, CISOs can use deepfake detection tools that are available on the internet. These tools can point out synthetic images generated by AI and ML technologies, leaving unique traces that are invisible to the human eye. For instance, in recent years there have been modified videos of popular dignitaries that are common on social media platforms; these videos can be with a fun intention or sometimes defaming them through manipulated speeches or actions.

To Know More, Read Full Article @ https://ai-techpark.com/risks-of-enhanced-phishing/

Related Articles -

Top Automated Machine Learning Platforms

Deep Learning in Big Data Analytics

Trending Category - IOT Smart Cloud

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/ 

Related Articles -

Digital Technology to Drive Environmental Sustainability

Democratized Generative AI

Trending Category - AItech machine learning

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/ 

Related Articles -

Smart Cities With Digital Twins

Decoding the Exponential Rise of Deepfake Technology

Trending Category - aitech chatbots

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.

To Know More, Read Full Article @ https://ai-techpark.com/the-rise-of-deep-fake-technology/ 

Related Articles -

Future of QA Engineering

Top 5 Data Science Certifications

Trending Category - AI Identity and access management