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OPSWAT launched MetaDefender Kiosk K2100 to protect critical networks in harsh environments 

OPSWAT unveiled the MetaDefender Kiosk K2100, a brand-new, incredibly tough mobile kiosk created to protect crucial networks under even the worst circumstances. Many industries rely on operational technology (OT) and industrial control systems (ICS), but they are frequently isolated via air-gapped networks. As a result, OT personnel must rely on removable media to install updates, perform audits, and transfer data. 

However, if not properly managed, these removable media devices can introduce potential vulnerabilities and malware that can then spread throughout the network. Before entering or leaving a secure environment, the MetaDefender Kiosk acts as a digital security guard, inspecting all media for malware, vulnerabilities, and sensitive data. 

Sid Snitkin, VP, Cybersecurity Services at ARC Advisory Group stated, “OPSWAT has a deep understanding of the challenges OT security teams face. I am impressed with the comprehensive suite of security solutions and services the company offers to address those challenges, and I’m excited that our ARC Industry Leadership Forum attendees will get to experience it firsthand.” 

The ruggedized military-grade solution enables the secure use of portable and removable media in all conditions and environments. Like the other MetaDefender Kiosk models, the K2100 was constructed using the best cyber-threat prevention technologies from OPSWAT, such as multiscanning with over 30 anti-malware engines, file vulnerability assessment and compliance checks. 

Pete Lund, VP of Products, OT Security of OPSWAT commented, “I am pleased to unveil the mobile iteration of our MetaDefender Kiosk. Critical infrastructure operators and security professionals are faced with both demanding environmental conditions and protecting critical systems against uncontrolled removable media and malware. The new MetaDefender Kiosk 2100 operates in the most challenging environments. It is built to withstand rain, dust, vibrations, and more – and most importantly easily, in full gear and gloves.” 

Hornetsecurity has released two tools to combat phishing attacks and malicious links 

Hornetsecurity has released two new tools to combat growing cyber threats: the QR Code Analyzer and Secure Links. These launches are in response to an increase in fake QR codes and the ongoing threat of phishing, which accounts for 40% of all cyber threats. 

Hornetsecurity has also released a new automated mailbox migration solution that enables partners to deploy and operate Microsoft 365 in the cloud for their customers in an efficient and secure manner – while remaining secure from cyberattacks. Furthermore, it has simplified its partner program to allow partners to work equally and centrally on projects and MSP business. 

Daniel Hofmann, CEO of Hornetsecurity stated, “Hornetsecurity is committed to pre-empting and responding to new cybersecurity threats and customer concerns. Phishing attacks and fake QR codes are on the increase, so we are pleased to launch unique technologies that will combat these ever-growing threats. The QR Code Analyzer and Secure Links tools will benefit businesses by fighting cybersecurity attacks in a safe, reliable and cost-effective way.” 

According to research from Hornetsecurity’s Security Lab, email-borne QR codes are being used by cybercriminals to acquire sensitive information. With the introduction of its QR Code Analyzer, Hornetsecurity is enhancing its Advanced Threat Protection and 365 Total Protection Suite for Microsoft 365 in order to combat this most recent threat. When scanned, this technology determines whether QR codes lead to harmful websites. 

The introduction of Hornetsecurity’s “Secure Links” functionality will also aid in reducing cyberattacks, particularly attempts at ransomware. This new service secure-checks each email link before allowing the recipient to open it without risk. Businesses and their employees can feel more secure knowing that their email communications are secure thanks to both new technologies. 

Daniel Blank , COO HornetsecuritY commented, “Hornetsecurity has listened to our partners’ needs, which has led to the launch of our efficient and safe Mailbox Migration Tool, at the same time as our new partner program is rolled out. 

This launch package is just the start of what will be a busy 2023 for Hornetsecurity as we monitor, learn and respond to new sophisticated cyberattacks, and continue to keep our customers’ data safe from ever-present threats.” 

The Mailbox Migration Tool was created in response to the difficulties that Hornetsecurity partners had in transferring mailboxes from on-premises to Microsoft 365 cloud. This new offering enables Hornetsecurity partners to automatically migrate customers in a secure, efficient, and time-saving manner, allowing them to provide peace of mind by offering full Microsoft 365 security via 365 Total Protection. 

Hornetsecurity has also simplified its partner program. The newly revised program is intended to unify partner levels and includes both managed service (MSP) and project business. These updates reduce entry barriers, allowing partners to provide Hornetsecurity’s services with little effort and investment. 

Artificial Intelligence (AI) and the Fight Against Cyberattacks

In the current digital era, cyberattacks are one of the biggest problems that organizations are dealing with. As our dependence on technology is increasing so is the number of cyberattacks, harming both businesses and people on a large scale. The damage caused by cyberattacks is expected to increase exponentially, so it is critical for organizations to implement effective security measures to safeguard their assets.

Artificial intelligence (AI) can be an effective weapon in the fight against cyberattacks as it has the potential to completely change how businesses identify, stop, and respond to cyberattacks. AI algorithms can easily analyze massive amounts of data in real time. It can also be trained to spot anomalies and notify security teams of potential threats. AI-based security systems are important to an organization’s cybersecurity strategy because they can learn from previous attacks and become more effective over time.

Implementing cybersecurity through AI

In the fight against cybercrime, AI can effectively mitigate cyberattacks, especially in the area of threat detection. AI algorithms can be used to monitor network activity and identify patterns that indicate a potential threat. For example, AI can detect unusual patterns of login attempts, which could indicate a brute-force attack or detect unusual file transfers, which could indicate data exfiltration. By detecting these threats early on, AI-based security systems can help prevent cyberattacks and reduce the impact of the attack.

Another area where AI can play a critical role is in the identification of malware. AI algorithms can be used to scan large volumes of data to detect and classify malware. The algorithms can analyze the behavior of the malware and compare it to known malware to determine its nature. This will allow security teams to quickly identify and respond to new and evolving threats, making it possible to mitigate the impact of the attack.

AI can also be used to automate the response to cyberattacks. In the event of an attack, AI algorithms can be used to isolate the affected systems, prevent the spread of the malware, and restore normal operations. By automating the response, AI-based security systems can reduce the time it takes to respond to an attack, minimize the impact of the attack, and minimize the risk of data loss.

Moreover, artificial intelligence can also be used to improve the overall security posture of an organization. AI algorithms can be used to monitor network activity and identify areas that are vulnerable to attack. The algorithms can also be used to recommend security measures that can be taken to improve the overall security posture of the organization. By taking a proactive approach, AI-based security systems can help organizations stay ahead of the threat and reduce the risk of cyberattacks.

Another aspect of AI in the fight against cyberattacks is the use of machine learning algorithms. Machine learning algorithms can be used to analyze vast amounts of data and detect patterns that indicate a potential threat. These algorithms can be trained to recognize the behavior of cybercriminals and detect anomalies that may indicate a threat. Additionally, machine learning algorithms can also be used to improve the effectiveness of other security measures, such as firewalls and intrusion detection systems, by analyzing the data generated by these systems and making recommendations for improvement.

Advantages and limitations of Artificial Intelligence

One of the main advantages of AI-based security systems is their ability to scale. With the exponential growth of data, manual security systems are becoming increasingly inefficient. AI-based security systems, on the other hand, can process vast amounts of data in real-time and make decisions based on this data. This allows organizations to stay ahead of the threat and respond quickly to potential threats.

Another advantage of AI in the fight against cyberattacks is its ability to adapt to new threats. As cybercriminals evolve their tactics, AI-based security systems can also adapt by learning from past attacks and improving their effectiveness over time. This makes AI-based security systems an essential component of an organization’s cybersecurity strategy, as they can provide the agility and adaptability needed to stay ahead of the threat.

In addition to its ability to detect and respond to cyberattacks, AI can also be used to improve the overall cybersecurity posture of an organization. For example, AI algorithms can be used to monitor network activity and identify areas that are vulnerable to attack. The algorithms can then recommend security measures that can be taken to improve the overall security posture of the organization. This proactive approach can help organizations stay ahead of the threat and reduce the risk of cyberattacks.

While AI has the potential to revolutionize the fight against cyberattacks, it is essential to remember that it is not a silver bullet. AI-based security systems can be vulnerable to attacks. Organizations need to take a multi-layered approach to cybersecurity that includes human expertise and a range of security measures. For example, organizations can use Artificial Intelliegence in conjunction with human expertise, such as security analysts, to detect and respond to cyberattacks. Additionally, organizations can also use AI in conjunction with other security measures, such as firewalls and intrusion detection systems, to create a comprehensive security strategy.

The Bottom Line

Artificial Intelligence is emerging as a crucial tool in the fight against cyberattacks. With its ability to detect and respond to threats in real-time, AI-based security systems have the potential to revolutionize the way organizations protect their assets. However, organizations need to be aware of the limitations of AI and take a multi-layered approach to cybersecurity that includes human expertise and a range of security measures. By combining AI with other security measures, organizations can improve their overall security posture and reduce the risk of cyberattacks.

Future of ML and AI in Financial Sector | Fraud Management Trends

The financial landscape is experiencing a revolutionary transformation, and tech-savvy customers expect banks to deliver a seamless and rich experience.

In the ever-growing sophisticated threats, too many frauds must be examined and improved manually. Hence, it is imperative for organizations to incorporate AI and ML-based technologies to differentiate among anomalies and malicious fraud. AI and ML identify patterns and supports the systems in acquiring configuration rule based on the pattern and the information is detected. Furthermore, ML aids in detecting suspicious financial transactions and money-laundering activities in real-time thereby flagging such activities and minimizing false positives.

Regardless of emerging trends of ML and AI in the EFM platform, some enterprises have still not utilized them because of various challenges involved. Such as the integration of ML and AI into the existing business functions and framework, the need for new resolutions to mitigate new kinds of attacks, and others.

Future of ML and AI in financial sector

Let’s look at the benefits which ML and AI has to offer –
  • Behavioral Patterns are detected at an early stage using ML and AI analytical models
  • Ensures safety and security of integration of customers data collated from various channels
  • It provides deep insights and analytics with visual graphics and a unified dashboard.
  • Prevents attacks and mitigates fraud.
  • Offers personalized customer experience.
  • Includes automation of processes with a minimal scope of errors.
  • Ensures regulatory compliance.
  • Enhances the branding of companies.
  • Optimizes the overall efficiency of the organization.

Due to many benefits and stiff competition, financial enterprises are embracing new technology innovations and integrating intelligent automation with AI and ML into their EFM solutions. The AML software, when joined with ML and AI can offer a lot of benefits like reduction in compliance costs with enhanced and effective solutions.  AI and ML are becoming critical, empowering banks to handle the enormous quantity of datasets, combating and preventing fraud and fraud- attacks quickly thereby optimizing profit.

Hence in this ever-changing dynamics in an app-driven planet, it is crucial for banks to adapt to various combinations of AI and ML, supervised and unsupervised ML and technologies, multiple algorithms in accordance with their requirements, and then implementing them into their systems.