The revolution of AI pushes the technology ahead

It is hard to believe that only ten months have passed since the AI ​​revolution began.  The release of a free public version of ChatGPT in November of last year prompted Google and other competitors to accelerate their development efforts, releasing beta versions in an attempt to push the boundaries of AI technology while ensuring their products meet industry standards.

  Google released an early version called Bard, which is a prototype of its flagship product, Gemini AI.  The article I linked to mentions that Gemini is expected to be released in three months, but does not provide details on its features.  As someone who has been following this product for the past two years, I can say that Google has not yet announced a specific release date as the company has discovered more capabilities in the areas of machine learning, artificial intelligence and deep learning (AI, ML, DL).

 However, it is important to note that the release date may be delayed.  There are those who claim that high capabilities have been discovered in DL, Google wants to test those capabilities before release.  In addition, some argue that the Gemini AI will not be as powerful as some people hope.  Only time will tell what the true capabilities of this product are.

  All in all, regarding the potential of artificial intelligence, there is much more to look forward to.  There are many challenges that need to be addressed before AI systems can reach their full potential as imagined.

  In short, the race is on, and the AI ​​revolution is already underway.

 Don't expect too much from this letter... but this is too important a topic to ignore.

To an article about google Gemini AI

A post about the rapid evolution of AI systems, when there is still no regulation

 📌 I recommend you take seven minutes of your life to read and listen to this.

 First of all, I will say that the evolutionary development we are experiencing in the last year of AI solutions, are only the tip of the iceberg in the sense of how many changes are going to be made in our world without us knowing or noticing them until it is impossible to correct errors on the way or the apocalypse predicted by human groups as recently appeared on the internet, and on the deep web will prove that the writing was on the wall.  

I myself am not at all paranoid and I make good use of the AI, and it's hard for me to define it as a bad thing.  

In the link you will find an opinion of one who opposes the changes that are taking place, worth reading, as well as a recording of a potential car buyer with Tesla's AI system for the specific case.  

So it is recommended that you spend the next few minutes to absorb the things and think.  Here's a short quote from the post 

"My point is: it's great to automate low-value, routine queries to allow human customer service agents to focus on complex, high-value interactions. But human empathy can't be replaced. 

It's what (thankfully) sets us apart. A robot can't replicate experiences and emotions: human empathy is core and so essential in (human) customer interactions."

And when you finish... THINK 💬🤔

 Below is the link, at the bottom of the post is the recording.

 https://www.linkedin.com/posts/ramona-janson_artificialintelliegence-machinelearnig-ugcPost-7086626735047286784-w1YH

Build trust with partners, customers and industry quick and easy with PCI-DSS compliance

PCI-DSS compliance is on of the best way's to show your cyber-resilience is trusty. The Payment Card Industry Data Security Standard (PCI DSS) is a set of security requirements designed to protect cardholder data. It is widely recognized as a best practice for organizations that store, process, or transmit credit card data, and showing your organisation resilience to privacy (PII).

PCI DSS compliance is not the least demanding of all regulations, but it is certainly one of the most comprehensive. The standard covers a wide range of security controls, from physical security to network security to application security. This makes it a good starting point for organizations that are looking to improve their overall cyber security posture.

Of course, PCI DSS compliance is not a silver bullet. It is important to remember that no single regulation can guarantee that an organization will be immune to cyber attacks. However, PCI DSS compliance can help to reduce the risk of a data breach and can help organizations to demonstrate their commitment to security.

Here are the organisation benefits achieved by PCI DSS compliance:

• Reduced risk of data breaches
• Increased customer trust
• Compliance with other regulations
• Improved operational efficiency
• Reduced liability

If you are considering achieving PCI DSS compliance, there are a few things you should keep in mind:

The standard is a middle level complexity and can be challenging to implement.

There are different levels of compliance, depending on the volume of cardholder data that you process.

You will need to be audited by a qualified third party to verify your compliance.

However, the benefits of achieving PCI DSS compliance can outweigh the challenges. If you are serious leveraging your Commitment to information security and privacy protection, you can put the PCI DSS compliance in you priority to become compliant officialy. It's a good place to start.

CISO revealing AI risk secret: work with AI without creating unwanted risks in your organization

AI Risks & Security measures 

NJP

The latest concerns raised and publicized by CISOs, information security consultants, and cybersecurity managers regarding the use of AI, Bard, ChatGPT, etc. are not entirely unfounded. While AI technology has numerous benefits and potential applications, it also introduces certain risks that organizations need to address. However, it is important to approach the issue with nuance and consider both the advantages and challenges associated with AI adoption.

Here are some points to consider specific threats that organizations may face when using AI like ChatAI /ML (machine learning), along with potential solutions:

• Data privacy and security - AI systems like ChatGPT often rely on large amounts of data to function effectively. Care must be taken to monitor the information presented to the AI system for fear that sensitive organizational information or business development will be revealed. 

• Unauthorized data access - One of the primary concerns is the risk of unauthorized access to sensitive organizational data. To mitigate this threat, organizations should implement strong access controls and encryption mechanisms to protect data both at rest and in transit. Robust user authentication and authorization protocols should be in place to ensure that only authorized individuals can access and interact with the AI system. Organizations should conduct regular security assessments and penetration testing on their systems. Implementing strong network security measures, such as firewalls and intrusion detection systems, can help detect and prevent unauthorized access attempts, using SIEM systems to detect behavior and anomalies.

• Adversarial attacks - Adversarial attacks aim to manipulate AI models by providing misleading or crafted inputs. Organizations can employ techniques such as adversarial training and robust model architectures to make AI systems more resilient against such attacks. Ongoing research and collaboration with the AI community can help stay ahead of emerging adversarial techniques.

• Insider threats - Employees who have access to AI systems may intentionally or inadvertently misuse the technology, leading to unauthorized disclosure of sensitive information. Organizations should establish clear policies and guidelines for AI system usage, conduct regular training and awareness programs, and implement monitoring mechanisms to detect any suspicious behavior or policy violations.

• Ethical considerations - AI systems should be designed and deployed in an ethically responsible manner to avoid biases, discrimination, or unfair practices. Organizations should ensure transparency in AI decision-making processes, regularly evaluate the system's fairness and accuracy, and provide channels for user feedback and redressal.

• User awareness and training - If employees within an organization are given access to AI systems like ChatGPT, it is crucial to provide adequate training and guidelines for their usage. This helps prevent accidental disclosure of sensitive information and ensures that employees are aware of the potential risks associated with AI.

• Regulatory compliance - Organizations need to consider relevant laws and regulations when using AI, particularly those of data protection, privacy, and industry-specific standards. Compliance with regulations such as the General Data Protection Regulation (GDPR) or industry-specific frameworks like the Health Insurance Portability and Accountability Act (HIPAA), and industries that deal with highly regulated data, such as healthcare or finance. It is crucial to avoid legal ramifications and maintain customer trust.

• Continuous monitoring and updates - AI systems need to be regularly monitored and updated to address emerging threats and vulnerabilities. This includes keeping the underlying software and models up to date, applying security patches, and conducting periodic audits of the AI system's performance and behavior.

In addition, it is recommended for organizations establish incident response plans to promptly address and mitigate any security incidents or breaches. Regular security audits, vulnerability assessments, and ongoing monitoring of AI systems are essential to identify and remediate any vulnerabilities or weaknesses.

It is worth noting that these concerns are not unique to AI systems but are present with many other technologies as well. The key lies in implementing appropriate security measures, establishing best practices, and fostering a culture of cybersecurity within organizations to mitigate the risks effectively. 

While there are valid concerns surrounding the use of AI, it is important to evaluate these concerns in the context of the specific organizational needs, industry regulations, and the potential benefits that AI can bring. With proper planning, implementation, and risk mitigation strategies, the use of AI, including ChatGPT, can be done responsibly and securely, minimizing the potential risks associated with its adoption.

In Conclusion

A comprehensive security approach to Organizations that plans to use AI involves a combination of technical measures, user awareness and training, policy and governance frameworks, and ongoing monitoring and adaptation. By considering these factors, organizations can effectively manage the risks associated with AI adoption while leveraging its potential benefits.