Tag: Cybersecurity

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/

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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/

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Chase, please tell us about your background and what brought you to your role as Principal Strategist at JumpCloud.

I’ve spent over a decade in the tech industry, in cloud computing and cybersecurity. Over that time, I’ve been able to indulge my passion for all things identity-related and JumpCloud has been a perfect fit.  JumpCloud’s mission to simplify and secure IT management for businesses of all sizes— especially for the traditionally overlooked small and medium-sized enterprises (SMEs)—is unique, and I’d argue we’re uniquely good at it. My role is to help shape our product vision to ensure we’re meeting the evolving needs of our customers in an increasingly complex IT landscape.

How is AI currently impacting cybersecurity for small and medium-sized enterprises (SMEs)?

JumpCloud conducts a twice-yearly survey of IT admins (our most recent edition of the survey just came out in July), so we’ve been able to get a real-time pulse on how SMEs are adapting to AI.

The first time we asked about AI six months ago, there was a lot of excitement but also a lot of fear. What we’re seeing now is that while the optimism has faded a little, it’s still pretty strong. Most organizations – 67% –  have plans to implement AI initiatives and about the same number of folks have actually developed an AI policy–  a great first step toward a robust, intentional approach to AI in the workplace.

As to how AI is impacting cybersecurity for SMEs, it’s both positive and negative. On the positive side, AI-powered tools are enhancing threat detection and response capabilities, allowing SMEs to identify and mitigate potential security risks much more quickly and accurately than before. This is particularly beneficial for SMEs that lack the resources for large security teams. However, AI is also being used by bad actors in more sophisticated attacks. We’re seeing an increase in AI-generated phishing emails and adaptive malware that can evade traditional security measures. This duality around AI won’t be going away anytime soon, so SMEs need to embrace AI while developing protections against it.

Based on your recent survey, what best practices would you recommend for SMEs to enhance their cybersecurity in light of AI developments?

First and foremost, implementing strong identity and access management is crucial. This includes using multi-factor authentication (MFA) and adopting a least-privilege access model. We also found that employee training is more important than ever, given the increasing sophistication of AI-powered phishing attempts. SMEs are also responding by partnering with managed service providers (MSPs) to access expertise and capabilities that might otherwise be out of reach.

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

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In 2024, the cybersecurity realm has opened new doors to new vulnerabilities and attack techniques. As attacks become more sophisticated and dynamic, traditional defense mechanisms fail to provide protection. Therefore, to effectively combat these challenges, CISOs and IT leaders need to analyze the current situation and mitigate threats in real-time.

As we look ahead to 2025, likely, the concerns faced by CISOs and IT leaders in 2024 will potentially worsen.

However, for a handy deep dive into tackling cyber attackers, this roundup of AITech Park articles on the cybersecurity topic offers guidance in creating good cyber awareness strategies, insights, and recommendations that will aid in embedding privacy compliance into your culture.

The Rise of Cybersecurity Careers

As cyberattacks become increasingly sophisticated, organizations are prioritizing the hiring of certified cybersecurity professionals to enhance their security measures. Therefore, to excel in this ever-evolving competitive field, it is crucial to pursue the right certification courses. In 2024, the top popular cybersecurity certifications include CompTIA Security+, OSCP, CISA, CISSP, and CISM. Each certification course offers valuable skills and knowledge catering to numerous roles within cybersecurity.

Understanding the Third-Party Risk Management Strategies

In this new-age world, third-party risk management strategies have become quite essential in this modern interconnected business environment. As businesses no longer rely solely on an organization’s security, CISOs require external connections to manage security strategies. Therefore, implementing robust third-party cyber risk management so you can continuously focus on due diligence, monitoring, deception, and incident response plans can help limit your exposure and defend against growing threats.

Preparing for Data Center Security Threats in 2024

Most organizations have data centers that are rich in critical information, and for cybercriminals, this center is the prime target. Therefore, IT leaders must prioritize building the defenses around to eliminate the increasing ransomware and cyberattacks. This also implies that hardware-based root-of-trust (RoT) systems should be combined with AI technologies that will ultimately enhance zero-trust practices beyond current capabilities.

The need of the hour is a comprehensive cybersecurity strategy that will secure the organization’s digital assets and reduce the risk of loss, theft, or destruction of company data or systems. Hence, by reading the recommended articles, you can create a robust strategy that will protect your brand from reputational harm and create a safe environment for employees, stakeholders, and the organization.

To Know More, Read Full Article @ https://ai-techpark.com/top-cybersecurity-articles-in-2024/

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Sebastian, can you start by sharing your background and what led you to your current role as VP of Engineering at Storyblok?

My journey in the tech industry began with a deep interest in software development and a passion for creating innovative solutions. Over the years, I have held various roles in engineering and management, which have provided me with a broad perspective on technology and its applications.

Before joining Storyblok, I worked with several startups and established companies, focusing on building scalable and secure software solutions. My experience in these diverse environments has been instrumental in shaping my approach to engineering and leadership. With Storyblok, I was drawn to the company’s vision of transforming content management and the opportunity to lead a talented team in driving this innovation forward.

In what ways can generative AI be utilized to create malicious content such as phishing emails and social engineering attacks?

Generative AI can produce highly realistic and personalized phishing emails by analyzing vast amounts of publicly available data about potential targets. This allows attackers to craft messages that are more likely to deceive recipients into divulging sensitive information. Similarly, AI can generate fake social media profiles or impersonate trusted contacts, enhancing the effectiveness of social engineering attacks. The ability to produce high-quality, contextually relevant content at scale means that these AI-generated threats can bypass many traditional security filters designed to catch generic phishing attempts.

The current cybersecurity measures seem adequate. What specific measures do you believe are most effective against AI-driven attacks?

While current cybersecurity measures provide a foundation, they need to be enhanced to effectively counter AI-driven attacks. Key measures include advanced threat detection where AI and machine learning are used to detect and respond to threats in real-time, behavioral analytics, which is the monitoring of user behavior to identify deviations that may indicate compromised accounts. Zero Trust Architecture is also important which involves implementing a model where verification is required for every access request, regardless of its origin.

Keeping staff informed about the latest threats and best practices to mitigate human error are also key measures in reducing the threat of AI-driven cyber attacks as is Multi-Factor Authentication (MFA) where an extra layer of security is added to verify user identities.

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

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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/

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Mr. Kalif, we’re delighted to have you. Could you please tell us a bit about your professional journey? What inspired you to co-found ReasonLabs?

Before co-founding ReasonLabs, I spent years in the industry within R&D roles, working to develop products and systems that protect people. I joined forces with Andrew Newman to build ReasonLabs on the common belief that every consumer deserves to benefit from enterprise-grade protection. Until that point, the best cybersecurity had always been saved for large companies because companies thought they suffered the more dangerous threat. We knew that to be false – malware doesn’t discriminate between large corporate networks and home users. This led us to create ReasonLabs and embark on the mission of protecting every home worldwide.

For those who might not know, can you give a brief overview of ReasonLabs and how your products cater to today’s cybersecurity needs?

ReasonLabs’ mission is to provide home users with the same level of cyber protection that the world’s largest enterprises have. Malware and cyber attackers do not discriminate between corporations and home networks and everyone should be protected from next-generation threats.

Our flagship product, RAV Endpoint Protection, is the first consumer-focused cybersecurity product featuring Endpoint Detection & Response (EDR) technology. That plus our other products like RAV VPN and Online Security, combine to form a multilayered solution that safeguards home users’ privacy and digital identities.

How has AI changed the cybersecurity landscape, especially for consumers? Can you share some specific examples where AI has made a real difference?

Cyber-attackers leverage AI in all kinds of ways that affect consumers, but none more than with advanced phishing and social engineering attacks. It used to be fairly easy to recognize these threats, but AI has helped take them to new heights. From the security perspective, AI enables us to provide consumers with next-gen security, like our RAV Managed EDR technology. This EDR, with help from AI, helps us evaluate billions of data points and identify attacks against consumers in real-time, 24/7 protection.

Identity theft is a big concern for many people. How does ReasonLabs tackle this issue, and what innovative solutions have you come up with?

Identity theft is a huge problem that can wreak havoc on people’s lives. Providing identity theft defense is a core element in our cybersecurity suite and we do it through protection, detection, and remediation.  Consumers can look to the RAV Online Security browser extension to find these services.

Concerning protection, the extension prevents data leaks and secures against phishing attacks. By working with RAV Endpoint Protection’s EDR technology, the extension can detect next-generation threats including ransomware that can lead to identity theft. Insurance is offered as a means of remediation to ensure there is recourse if something does ultimately happen.

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

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The recent ransomware attack on Change Healthcare, a subsidiary of UnitedHealth Group, has highlighted critical vulnerabilities within the healthcare sector. This incident disrupted the processing of insurance claims, causing significant distress for patients and providers alike. Pharmacies struggled to process prescriptions, and patients were forced to pay out-of-pocket for essential medications, underscoring the urgent need for robust cybersecurity measures in healthcare.

The urgency of strengthening cybersecurity is not limited to the United States. In India, the scale of cyber threats faced by healthcare institutions is even more pronounced. In 2023 alone, India witnessed an average of 2,138 cyber attacks per week on each organization, a 15% increase from the previous year, positioning it as the second most targeted nation in the Asia Pacific region. A notable incident that year involved a massive data breach at the Indian Council of Medical Research (ICMR), which exposed sensitive information of over 81.5 crore Indians, thereby highlighting the global nature of these threats.

This challenge is not one that funding alone can solve. It requires a comprehensive approach that fights fire with fire—or, in modern times, staves off AI attacks with AI security. Anything short of this leaves private institutions, and ultimately their patients, at risk of losing personal information, limiting access to healthcare, and destabilising the flow of necessary medication. Attackers have shown us that the healthcare sector must be considered critical infrastructure.

The Healthcare Sector: A Prime Target for Cyberattacks

Due to the sensitive nature of the data it handles, the healthcare industry has become a primary target for cybercriminals. Personal health information (PHI) is precious on the black market, making healthcare providers attractive targets for ransomware attacks—regardless of any moral ground they may claim to stand on regarding healthcare.

In 2020, at the beginning of the pandemic, hospitals were overrun with patients, and healthcare systems seemed to be in danger of collapsing under the strain. It was believed that healthcare would be a bridge too far at the time. Hacking groups DoppelPaymer and Maze stated they “[D]on’t target healthcare companies, local governments, or 911 services.” If those organisations accidentally became infected, the ransomware groups’ operators would supply a free decryptor.

Since AI technology has advanced and medical device security lags, the ease of attack and the potential reward for doing so have made healthcare institutions too tempting to ignore. The Office of Civil Rights (OCR) at Health and Human Services (HHS) is investigating the Change Healthcare attack to understand how it happened. The investigation will address whether Change Healthcare followed HIPAA rules. However, in past healthcare breaches, HIPAA compliance was often a non-factor. Breaches by both Chinese nationals and various ransomware gangs show that attackers are indifferent to HIPAA compliance.

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AI-powered e-commerce platforms scale SMB operations by providing sophisticated pricing analysis and inventory management. Encryption and blockchain applications significantly mitigate concerns about data security and privacy by enhancing data protection and ensuring the integrity and confidentiality of information.

A 2024 survey of 530 small and medium-sized businesses (SMBs) reveals that AI adoption remains modest, with only 39% leveraging this technology. Content creation seems to be the main use case, with 58% of these businesses leveraging AI to support content marketing and 49% to write social media prompts.

Despite reported satisfaction with AI’s time and cost-saving benefits, the predominant use of ChatGPT or Google Gemini mentioned in the survey suggests that these SMBs have been barely scratching the surface of AI’s full potential. Indeed, AI offers far more advanced capabilities, namely pricing analysis and inventory management. Businesses willing to embrace these tools stand to gain an immense first-mover advantage.

However, privacy and security concerns raised by many SMBs regarding deeper AI integration merit attention. The counterargument suggests that the e-commerce platforms offering smart pricing and inventory management solutions would also provide encryption and blockchain applications to mitigate risks.

Regressions and trees: AI under the hood

Every SMB knows that setting optimal product or service prices and effectively managing inventory are crucial for growth. Price too low to beat competitors, and profits suffer. Over-order raw materials, and capital gets tied up unnecessarily. But what some businesses fail to realize is that AI-powered e-commerce platforms can perform all these tasks in real time without the risks associated with human error.

At the center is machine learning, which iteratively refines algorithms and statistical models based on input data to determine optimal prices and forecast inventory demand. The types of machine learning models employed vary across industries, but two stand out in the context of pricing and inventory management.

Regression analysis has been the gold standard in determining prices. This method involves predicting the relationship between the combined effects of multiple explanatory variables and an outcome within a multidimensional space. It achieves this by plotting a “best-fit” hyperplane through the data points in a way that minimizes the differences between the actual and predicted values. In the context of pricing, the model may consider how factors like region, market conditions, seasonality, and demand collectively impact the historical sales data of a given product or service. The resulting best-fit hyperplane would denote the most precise price point for every single permutation or change in the predictors.

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In a shocking revelation, a massive data leak has exposed sensitive personal information of over 1.6 million individuals, including Indian military personnel, police officers, teachers, and railway workers. This breach, discovered by cybersecurity researcher Jeremiah Fowler, included biometric data, birth certificates, and employment records and was linked to the Hyderabad-based companies ThoughtGreen Technologies and Timing Technologies.

While this occurrence is painful, it is far from shocking.

The database, containing 496.4 GB of unprotected data, was reportedly found to be available on a dark web-related Telegram group. The exposed information included facial scans, fingerprints, identifying marks such as tattoos or scars, and personal identification documents, underscoring a growing concern about the security protocols of private contractors who manage sensitive government data.

The impact of such breaches goes far beyond what was capable years ago. In the past, stolen identity would have led to the opening of fake credit cards or other relatively containable incidents. Today, a stolen identity that includes biometric data or an image with personal information is enough for threat actors to create a deep fake and sow confusion amongst personal and professional colleagues. This allows unauthorised personnel to gain access to classified information from private businesses and government agencies, posing a significant risk to national security.

Deepfakes even spread fear throughout southeast Asia, specifically during India’s recent Lok Sabha, during which 75% of potential voters reported being exposed to the deceitful tool.

The Risks of Outsourcing Cybersecurity

Governments increasingly rely on private contractors to manage and store vast amounts of sensitive data. However, this reliance comes with significant risks. Private firms often lack the robust cybersecurity measures that government systems can implement.

However, with India continuing to grow as a digital and cybersecurity powerhouse, the hope was that outsourcing the work would save taxpayers money while providing the most advanced technology possible.

However, a breach risks infecting popular software or other malicious actions such as those seen in other supply chain attacks, which are a stark reminder of the need for stringent security measures and regular audits of third-party vendors.

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