Question

list any two problems that can be faced in cyber world and cab be controlled using AI​

Answer 1

Explanation:

The world is going digital at an unprecedentedly fast pace, and the change is only going to go even faster. The digitalization means everything is moving at lightning speed – business, entertainment, trends, new products, etc. The consumer gets what he or she wants instantly because the service provider has the means to deliver it.

While the conveniences and benefits of this digital era are many, it also brings with it several negatives. One of the most significant and destructive threats it poses is that our private information is at risk like never before. The last decade or so has seen hundreds of cases of identity theft, loss of money, and data breaches. Cyberattacks in nature are very pervasive and affect every individual, business, and government bodies alike. We are moving towards an era where cybercriminals can reach their targets in any part of the world at any time; the need for cybersecurity has never been more critical than now.

A typical cyber-attack is an attempt by adversaries or cybercriminals trying to access, alter, or damage a target’s computer system or network in an unauthorized way. It is systematic, intended, and calculated exploitation of technology to affect computer networks and systems to disrupt organizations and operations reliant on them.

Is Artificial Intelligence & Machine Learning A Bane To Cybersecurity?

With the genuinely significant potentials of Artificial Intelligence, the probability of attackers weaponizing it and using it to boost and expand their attacks is a huge threat. One of the biggest concerns is that hackers can use AI to automate cyberattacks on a massive scale. Now, our adversaries are relying on human resources to craft and coordinate their attacks. Cybercrime and cybersecurity landscape are going to change –not for the better – if and when they learn to use AI and machine learning to do the dirty work.

Another significant issue is that, just like we can deploy AI and machine learning to complement the shortage in human resources and to save cost in cybersecurity, our adversaries can also use it for the same. The finances and resources needed for launching and coordinating such attacks will go down massively – more threat to cybersecurity at relatively lower investment for the cyber attacker.

Further advancement in AI can also give birth to new types of cyber threats. AI can also hack into a system’s vulnerability much faster and better than a human can. AI can be used to disguise attacks so effectively that one might never know that their network or device has been affected.

So, the three main implications of Artificial Intelligence to the threat landscape are the augmentation of today’s threats and attacks, the development of new threats, and the variation of the nature of existing threats.

How Is Artificial Intelligence A Boon To Cybersecurity?

While the future seems bleak, there have also been developments in technology with significant impacts on cybersecurity. One such major game-changer in the field of cybersecurity is tools and techniques developed and supported by Artificial Intelligence (AI) and Machine Learning (ML) as a subset of it.

Artificial Intelligence is no longer just a buzzword and is being used extensively in industries of all kinds. Customer service, education, automation, etc. are only some of the many sectors where AI has instigated advancement by leaps and bounds. It is also playing a significant role in the ongoing fight against cybercrime.

Following are some of the ways Artificial Intelligence (AI) and Machine Learning (ML) are making a difference by giving the much-needed boost to cybersecurity.

Related: Eliminating Cyber Threats in 2020: Why Enterprises Need to Rethink Cyber security

Machine Learning In Cyber Threat Detection

Organizations have to be able to detect a cyber-attack in advance to be able to thwart whatever the adversaries are attempting to achieve. Machine learning is that part of Artificial Intelligence which has proven to be extremely useful when it comes to detecting cyber threats based on analyzing data and identifying a threat before it exploits a vulnerability in your information systems.

Machine Learning enables computers to use and adapt algorithms based on the data received, learning from it, and understanding the consequent improvements required. In a cybersecurity context, this will mean that machine learning is enabling the computer to predict threats and observe any anomalies with a lot more accuracy than any human can.

Answer 2

Explanation:

• Cybersecurity applications of artificial intelligence perform best when there is some degree of human involvement.
• AI tools like machine learning assist security professionals in identifying and thwarting hostile conduct, which lowers security risk and data breaches.

Issues with Using AI for Cybersecurity:

• Attacks Led by AI.
• More malware that avoids sandboxes.
• IoT and ransomware.
• State-Sponsored Attacks are on the Rise.
• Lack of Skilled Personnel
• IT architecture.

Here are 8 unexpected security applications of artificial intelligence:

• Vehicle bomb detection on the underside.
• Finding infectious diseases.
• security in the home
• threat assessment for significant events.
• cams for preventing crime.
• Observational warfare.
• Border security lie detector
• detection of offshore oil and gas threats

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