Cybersecurity Is Becoming Impossible Without AI ? Capgemini Report
As hackers launch increasingly sophisticated attacks to bring down corporate networks, AI and machine learning can defend against these advanced attacks. Indeed, these technologies are quickly becoming mainstream tools for cybersecurity specialists in their ongoing battle to defeat bad actors.
Cybersecurity is becoming impossible without AI – Capgemini report
According to a report by Capgemini Research Institute, 61% of organizations say they will not be able to identify critical threats without AI, while 69% believe AI will be necessary to respond to cyberattacks.[v] Indeed, the market for AI in cybersecurity is expected to grow to $46.3 billion by 2027.[vi]
Thanks, Richard. For this report we surveyed 850 senior executives from IT information security, cybersecurity, and IT operations in seven sectors across 10 countries. We also conducted a number of in depth interviews with industry experts and academics. Apart from this, we also analyzed 20 unique use cases to get an idea of the levels of implementation of AI in cyber security and to understand the potential benefits of implementation. Overall this is an emerging topic, something that our clients are becoming more and more interested in.
Interesting. So we hear a lot about artificial intelligence in the media these days. And it means different things to different organizations and to different markets. Luis, why do you think that artificial intelligence is becoming a real focal point in cybersecurity these days?
For those organizations implementing AI today in their cybersecurity program, the report found they are realizing significant benefits. While at first glance, new tools and growing development teams focused on AI technology would seem like an added cost center, the majority of respondents (two out of three) said that AI increases the ROI on cybersecurity tools.
The pace of machine learning adoption for cybersecurity is increasing. This may appear to be obvious (virtually no new security product or version is released without claim to artificial intelligence), but a new report confirms this with hard figures. While around 20% of firms used ML prior to 2019, closer to 60% will be using it by the end of the year.
One potentially strong area in the report is the development of a recommended use case quadrant based on benefits against complexity. Unsurprisingly, malware detection, intrusion detection and fraud detection all figure in the high benefit, low complexity quadrant. These are classic uses for a wide range of cybersecurity ML-based product.
With the dependence on technology worldwide, cybersecurity is becoming a serious concern. According to Statista, the global cybersecurity market size is expected to grow over USD 248 billion by 2023 (Source). Today, artificial intelligence is gaining immense popularity for its contributions to cybersecurity.
AI helps in cybersecurity in three major ways or stages to include threat detection, threat prediction, and response. A recent report from Capgemini shows 63% or two out of three organizations are planning to employ AI for cybersecurity by 2020 (Source). The same report also provides more significant statistics on AI in cybersecurity. It says 51% of organizations have high utilization of AI for the detection of cyber threats.
As security systems are evolving, so are hackers and hacking techniques. This Capgemini report also suggests that 69% of organizations believe that they will not be able to respond to cyberattacks without AI (Source).
But, AI has both positive and negative impacts in terms of cybersecurity. This has been a debate for a while! Cybersecurity experts claim that while AI helps make the systems secure, the same is also used by hackers and is becoming a security threat instead. This cannot be denied because AI systems learn and imitate patterns and can be trained to breach security too.
AI enables threat prediction through anomaly detection. Any unusual pattern or anomaly in the data indicates a possible threat and is reported by the AI-based cybersecurity systems. These systems thus help in malware detection. Most importantly, AI-based systems offer speedy predictive capabilities thus predicting and alerting about a possible threat promptly.
As digital transformation is gaining momentum across the globe, cybersecurity is becoming a serious concern for businesses. Cybersecurity Ventures predicts cybercrime will cost the world more than USD 6 trillion annually by 2021 (Source).
Most businesses are now fully immersed in the digital world, one way or another. As digital businesses grow, and as the world of work goes more online, the risk of cyber attacks increases exponentially. In 2018, 21% of businesses reported cyber security breaches, with the cost of a breach being potentially huge. As the stakes get higher, cyber criminals are using increasingly sophisticated methods to breach security, and traditional methods of online security are no longer always sufficient.
AI performs cyber-attacks autonomously without human intervention. However, under the current AI model, this category is not yet in existence. Once it becomes technically possible for AI to perform cyber-attacks autonomously without human intervention, one difficulty will be to allocate responsibility for civil damage caused by cyber-attacks.
As mentioned above, there are still many technical hurdles before AI can be used for security measures, so that the introduction of AI itself in corporate procedures and strategies does not necessarily mean that the officer in charge of cybersecurity is appropriately discharging his/her duty and can be exculpated if anything happens. Fairly common standards are used in many jurisdictions to determine the existence of a breach of fiduciary duty: whether the fiduciary duty of care is appropriately fulfilled is determined based on what would normally be expected from an ordinary officer having reasonable skills, experience and knowledge in a company of the same size and industry. Therefore, the introduction of AI does not necessarily mean that officers have appropriately fulfilled their fiduciary duty of care under the present state of the art where it is clear that adequate and sufficient cybersecurity protection cannot be achieved through the mere introduction of AI without appropriate human intervention and monitoring. Unless comprehensive security measures such as appropriate human intervention and human decision-making are introduced, cybersecurity measures could be deemed insufficient. Accordingly, it is important for officers to build comprehensive cybersecurity system frameworks, and AI could be used to achieve this purpose.
In a report on AI and cybersecurity last summer, Capgemini reported that 69% of enterprise executives surveyed felt AI would be essential for responding to cyberthreats. Telecom led all other industries, with 80% of executives counting on AI to shore up defenses. Utilities executives were at the low end, with only 59% sharing that opinion.
It will be interesting to see what the next year holds for AI in cybersecurity and what security professionals report to Mimecast in 2023. As a recent article in VentureBeat pointed out, adoption of AI in cybersecurity right now is largely driven by the need to reduce the overwhelming workload analysts face daily, but there are much more advanced capabilities just waiting to be tapped.
It has become viable for almost all sectors. We have embraced Artificial Intelligence Services in various ways. As we are more and more engulfed in the virtual world and becoming technology-driven, risks of cybercrimes and breaches increasing at an exponential rate.
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IoT devices send and receive data over the internet. They also have fewer processing and storage capabilities, making it more difficult to use security applications like antivirus or firewalls to protect them. This has resulted in IoT attacks being among the top cybersecurity trends today. A Symantec report says that infected routers accounted for 75% of all IoT attacks that occurred in 2018, whereas connected cameras accounted for 15% of them. 5
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Artificial intelligence (AI) is slowly becoming an integral part of cybersecurity, helping organizations of different sizes and industries increase the efficiency of their cybersecurity. Information technology and telecommunications are the industries with the fastest and most advanced AI adoption process. Today, AI and machine learning algorithms are used to automate tasks, crunch data, improve cybersecurity, and make decisions at a humanly impossible speed.
This will increase the importance of AI in cybersecurity and the fight against top security threats to look out for in 2022. However, the adoption of AI structures and platforms does not come without challenges, as 60% of the organizations that have incorporated AI recognized cybersecurity risks as the most prevalent ones.
The integration of AI in cybersecurity is becoming indispensable for organizations. However, the main roadblocks which slow down its adoption and deployment are talent acquisition, data complexity, and the employment of proper AI tools. 350c69d7ab