Notes

Artificial Intelligence is a hot topic. Many organizations use Artificial Intelligence to support their operational functions. Business tasks have been made easier by artificial intelligence characteristics. With the increasing number of cyber threats and attacks, it’s important to pay attention to the factor of security in the field of artificial intelligence. There are two different areas in which security falls.
Using AI for cybersecurity.
Using cybersecurity for AI.
Using AI for cybersecurity


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The ability to analyze and mitigate large sets of potentially malicious data without any human interaction, as well as providing recommendations for future threats, are some of the benefits of deep learning and supervised learning.

There are several benefits and usages to the application of artificial intelligence for Digital Safety.

The ability to detect and identify anomalous patterns and vulnerabilities within extensive networks. It is time-consuming or rather complicated for humans to monitor and analyze large-scale networks. With AI, analyzing data from multiple endpoints becomes more efficient and faster which leads to quick detection of vulnerabilities and threats before any attack is executed. AI-powered Intrusion Detection Systems (IDS) detect any unusual or malicious traffic over normal traffic that enters a network. A real-life application of Artificial Intelligence for IT operations (AIOps) platforms uses big data analytics and Machine Learning (ML) to detect problems by analyzing large amounts of data and predicting to prevent future issues.
Accurate risk assessments and improved threat intelligence – Precise identification, analysis, and evaluation of risks, and recommendations of strong security controls for discovered risks can be accomplished through the compiled intelligence of AI. This also leads to the advancement of automated security models, thus building a strong organizational security posture.
Ability to automate tasks – Time-intensive operations can be automated without any intervals, which will increase response times and reduce the pressure of handling complex security tasks for human analysts. IBM states that adopting AI and automation in security saves more than 14 weeks in threat detection and response times, and helps to reduce the overall costs of a data breach.
Threat actors can use the same technology used for defensive purposes. Attackers use artificial intelligence to change their signatures to evade detection. The power of their attacks is increased by the tools that they use. Malicious actors are able to launch new attacks using Artificial Intelligence.

Using cybersecurity for AI


Artificial intelligence programs are vulnerable to attacks. Data manipulation can be used to change the function of the machine learning. The data that is fed to the artificial intelligence makes it behave as it is supposed to. The ones who rely on the intelligence of the system will be hurt if false positives are provided. There are vulnerabilities in the code that could lead to this. There are adequate testing mechanisms and bug bounty programs that can be used to resolve this problem, but there are still methods being worked on.

Various policies and standards have been proposed for the security of Artificial intelligence.

The Brookings Institution suggests a policy of securing decision-making systems of AI. The authenticity of the programmed decision-making algorithms must be protected from any malicious influence that would alter their desired behavior. They can be manipulated by entering malicious inputs, such as data poisoning, or by indirectly training the AI model for defective results.
The ETSI Industry Specification Group on Securing Artificial Intelligence (ISG SAI), states that they will create 3 standards to address the security of new AI technologies. LogicLatest, logiclatest.com, Logic Latest, are, securing AI components of a system from attacks, mitigation against malicious AI that enhances or creates new attack vectors, and finally, using AI itself to improve and enhance security measures.
Conclusion

Artificial Intelligence can be used to identify threats and vulnerabilities in cyberspace. Security-focused artificial intelligence is capable of detecting and analyzing enormous amounts of data without interruption and providing necessary recommendations. The benefits are vast, however, they are vulnerable to data manipulation and poisoning which destroys the integrity of their programs. Procedures must be adapted to mitigate the issues.


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