Today, the security market has been “monopolized†by several traditional giants, and many new powers have emerged. Fresh blood, powerful technology, will bring about a change in the stable security industry. Recently, many traditional security giant executives such as Dahua, Yushi, and Dongfang Netpower talked about their views on AI startups entering the security industry. They believe that during the period of talent shortage, AI startups acquired opportunities + orders through a single algorithm advantage, but in essence did not have a big impact on traditional security vendors. The security industry is an industry that needs to deeply understand customer needs and understand the entire sales system, product system, and solutions. It is not easy to break through. In this regard, various AI startups also responded and gave an opinion on the traditional security giants doing AI.
Around 2000, China’s security forces rose. The traditional security enterprises listed by Haikang and Dahua were started by several young college students, drawing drawings, welding boards, and running the market. In just a few years, they reversed the overseas security enterprises. Leading the situation in the domestic market and gradually invading overseas markets.
However, when the traditional security giants are enjoying the hard-won victory, the protagonist of the competition has been replaced by the domestic AI upstarts. A group of highly educated Internet rookies rushed into the security circle with their technology and products, and the market was vying for a resurgence.
In this regard, traditional security companies believe that in the period of lack of talent, AI startups have acquired opportunities + orders through a single algorithm advantage, but in essence did not have a big impact on traditional security vendors. Because the security industry is an industry that needs to deeply understand customer needs and understand the entire sales system, product system, and solutions. Moreover, based on the Internet background of AI startups, the blood flowing is the propaganda and high-profile genes, and the same results are achieved. Under the low-key traditional security companies will not be so conspicuous.
In their view, AI startups only integrate their core technology into the front-end to the back end of the security industry chain is the key to the successful layout of the security circle, but this is also the most difficult to overcome, because the threshold of the algorithm is not High, so taking the closed-loop ecology of the security industry chain is no easy task.
Then, based on the views of traditional security vendors on them, what do AI newcomers say? In this way, Lei Feng.com found a number of AI companies with excellent technology, product capabilities and vertical business background security experts first-line experts talked about their views:
Zhang Tangcheng, Product Director, Shangtang TechnologyDriven by the rapid development of deep learning algorithms, heterogeneous parallel computing and big data technology, the security industry has begun to enter the era of cloud, tube, end, and comprehensive intelligence.
Previously, the core problem of the security industry was to solve the pipeline problem of information collection, transmission, storage and viewing. The problem of intelligent security is how to better data the pipeline and further data mining and analysis decisions.
Analogous to the development of the Internet, Cisco, 3com, and Huawei are the companies that build information highway pipeline infrastructure, and are information porters; Google, Amazon, and Facebook are companies that build content and mine data treasures on the pipeline.
Although intelligent security is still called security, but the specific problems that need to be faced and the solutions to the problem have undergone a more fundamental change, just like the traffic title has not changed, but before the carriage and modern high-speed rail, aircraft, no one Driving a car, etc., is no longer comparable.
Under the background of intelligent security, the new AI company represented by Shangtang and other companies and the old security guards such as Hai Dayu can be considered to be on the same starting line in a certain sense. The two sides have their own advantages.
The advantages of the new AI company, first of all, are the powerful systemic algorithm innovation ability. It is worth noting that this algorithm capability has not only been reflected in the identification algorithm solution at a single point, but also in the case of massive input combined with big data. Systematic integrated algorithm capabilities; secondly, it comes from the engineering development technology stack of Internet genes. These engineering capabilities stemming from the Internet are more convenient when dealing with distributed, big data and human-computer interaction issues.
The advantages of security and old-fashioned powerhouses are mainly reflected in the powerful software and hardware integration product capabilities, industry solution capabilities, marketing channel capabilities and project delivery capabilities. As for the differences in business understanding that people often refer to, from our practical experience, as long as AI companies are willing to put their feet in the mud and are willing to work hard, dirty, and tired, the two types of companies will not There are obvious differences, and intelligence has spawned a lot of new business needs that no one has ever done. Many vertical business systems AI companies do better than traditional security companies.
The capabilities of these two types of companies are essentially complementary. In an ideal situation, the two sides combine to achieve a win-win situation. However, we find that the ecological environment of the security industry is actually not very optimistic, that is, to win a big one and a general.
Companies that simply sell algorithms over the years have either transformed into product solutions projects, either acquired or not. Companies that simply make products are basically the same fate. This kind of ecological environment is not very beneficial for encouraging innovation and healthy competition. Of course, it may be because there are not many technologies and products that have real thresholds for quite a long time.
Shang Tang is very happy to cooperate with security companies to win the intelligent enabler of the security industry. However, how to define this new era of “energy†may need to change the way of thinking. I find that many security companies understand the ability to stay in comparison. The original sdk stage. We are willing to provide comprehensive and systematic intelligent capabilities for the security industry in the cloud, management, and all aspects. Only systematic intelligence is the real intelligence, responsible intelligence, and easy to use intelligence.
We are very happy to see traditional security companies and more startups begin to do deep learning algorithms in the security field. The fields and applications that deep learning can cover are too many. So many demands can only be done by several AI companies. can not do well.
Finally, a phenomenon that everyone often overlooks, Audi and Alto are both cars, but the difference is still very large.
In essence, this is actually a path that is opposite—is artificial intelligence companies using technology advantages combined with industry characteristics and absorbing traditional security talents (industry experience and business channels) to accelerate industry landings faster? Or is it the traditional security company to establish an AI team to break through the technical bottleneck faster? Security manufacturers are more concerned about the civilianization of the development of AI technology. The artificial intelligence company is looking forward to new changes and industry changes, is it silent (like the previous license plate recognition)? Or is it a stone break (like Tesla's impact on the automotive industry)?
From the current application effect and actual test point of view, it is more appropriate to combine the algorithm with the industry landing mode. Therefore, the breakthrough effect of the artificial intelligence company after the landing is far better than the traditional manufacturers, and it also brings a great deal to the daily work mode of the user. The transformation (rebuilding of the capacity system) objectively changes many of the business rules of the industry, which in turn causes changes in the entire industry.
In addition, security is a comprehensive industry. The mainstream manufacturers of infrastructure equipment have a high degree of similarity. It is also a mainstream model in combination with artificial intelligence companies to improve products. It must be the AI ​​industry and tradition of artificial intelligence companies in a short period of time. The security industry's industry + AI, artificial intelligence company and traditional security company's AI work together in the industry's three modes of parallel process. As for the final, it must be the artificial intelligence company that really promotes the industry change in this transformation and face The transformation turned to a traditional security company fast enough.
Zhang Xingwang, General Manager of Cloud TechnologyInnovative AI companies will face several difficulties in entering the security industry, and these problems are also the point where traditional security companies are not optimistic about AI startups:
1. Although there are technologies, they are not familiar with the industry background, industry habits, and industry environment. This is the biggest challenge;
Second, the industry needs, how to make products and programs that meet the needs of the industry;
Third, the cultivation of the industry market, this is the process of cultivation and development, it takes a long time.
Fourth, the industry operations, this is also a very complicated problem, generally pure technology companies are difficult to have patience to do.
But at this point, the cloud has done it. Since its establishment, Yunshang has been actively digging the industry experts from the industry; it has also cultivated the industry and has produced many products to cope with the fierce competition of traditional security manufacturers.
The security market is huge. As long as you have the confidence to continue to do so, everyone can live. Maybe AI startups will live better than traditional security vendors. For traditional manufacturers to do AI is actually a transformation of them, here is a negative case, the giant company that invented the digital camera Kodak, and finally lost to the digital camera, here is like the traditional security company to do AI, they know that AI is very important But for them:
The traditional business department will bring a lot of trouble to the AI ​​department. If the internal coordination is not good, the consequences will be serious.
In addition, the biggest problem is the most difficult problem to solve. The traditional security enterprise has been developing for many years. The internal culture of the company has been very similar to that of the manufacturing industry. It is necessary to keep up with the trend of technology development. However, due to the lack of technology, this road to transformation is difficult. success.
Moreover, this “job†is difficult to complete, and it requires a lot of capital, time, and research and development. Traditional security companies have been operating for many years, and many have already gone public. How to persuade the board to make long-term and large-scale investment is very troublesome. The board may lose patience if it is not done well or not.
Yun Tian Li Fei Solutions Director Cheng BingYuntian Lifei analyzed this market. After three years of market, there will be several algorithm companies and traditional security companies that stand out from the crowd. Everyone forms a competitive and cooperative relationship.
Traditional security companies have obvious advantages in hardware and channels, but the shortcoming is that it is impossible to accurately control each 'detail'. For traditional security companies that believe that AI startups are having difficulty landing, Yuntian Lifei has made a lot of efforts in recent years and has also achieved some results.
AI has now been recognized by the capital and recognized by the society. This is a great encouragement for AI startups, and it also strengthens our determination to deepen our efforts in the public safety industry. The security market is very big. No company can beat the world, and it is impossible to fight alone. Security companies should look for new partners and form a new force that incites the traditional security structure.
Huang Yan, General Manager of Minglu Data Public Security DepartmentThe entry of startups into the security field often relies on the advantages of talent and algorithm technology. However, under the impact of traditional security giants and more and more new companies entering the industry, this advantage will be gradually reduced in the future.
In this regard, the data will not sit still, and has been reinforcing in recent years, including digging deep into the industry big data and AI scientists team, and focusing on project capabilities, gathered a lot of backbones from IBM, NEC, HP and other international top 500 companies. .
As for traditional security vendors to do AI, it does not necessarily mean that the survival space of startups is squeezed. The security field is related to the national economy and the people's livelihood. It can be said that it is one of the most important areas of the country. The various aspects involved are extremely complicated and are irrelevant. Lost, it is difficult to imagine that any company can "get through" the security industry, so cooperation and win-win, common development is the industry's general trend. However, during this time, AI startups have to find the pain points of the industry and keep moving forward to form their own unique value different from traditional security vendors.
It is worth mentioning that after years of cultivation, the enterprise service market has become increasingly unacceptable for traditional packaged software products, especially in the AI ​​field. For new enterprises entering the security field, it is both a challenge and an opportunity. The challenge is based on the business characteristics and business knowledge of the segmentation. There are many scenarios that need to be customized, and one-click deployment cannot be implemented. But the opportunity is also here, because traditional security companies are accustomed to making money in a more "comfortable" way. Although they enter the AI ​​field, they have no incentive to do something in the field.
In addition to the above several AI startups, Xiamen Ruiwei gave different views on technology:
Rui Wei, General Manager of Security Department, Zhan HongmeiThe intelligentization of security is an inevitable trend, and the market space is huge. In the past two years, more and more AI startups have entered the security field. Compared with traditional security enterprises, AI startups are undoubtedly innate in machine vision technology. Advantages, mostly with deeper technology accumulation and more active innovation capabilities. However, I have to see that most AI startups also have some disadvantages objectively, mainly reflected in:
The productization ability is too weak, the entrepreneurial team is more focused on the algorithm background, and the algorithm ability is no problem. However, when it is transformed into a commercially viable product that meets the market demand, the ability is weak, and most of them stay at the core algorithm level, so it will appear. Some smart cameras developed by AI companies cost more than 10,000 yuan, and they are completely out of scale.
Most AI startups lack understanding of the security industry and have no industry background and experience;
Security products require a complete solution. From hardware to platform software, algorithms are just one of the dimensions. AI companies do security, and there are many product systems that need to be complemented. It is difficult to form a complete and competitive complete solution in a short period of time.
Therefore, each startup company needs to actively fill in the shortcomings in the above three aspects, set a clearer strategy, and at the same time have more firm confidence, only this, may stand out in the smart security industry.
ConclusionFrom the above point of view, most AI upstarts have a negative attitude towards the traditional security companies' perceptions of them, and they are also skeptical about the traditional security vendors doing AI.
In fact, the competition between traditional big companies and start-up companies exists in any country or industry. Some people think that market competition is conducive to promoting the development of the market, but this kind of strong confrontation seems to have deviated from the "smooth" word of public. Obviously, both sides of the surface and the good are actively filling up the short board, the purpose is very simple, the winners are always a minority, and the time left for them is not much.
In fact, in the end, this is in the game, who can make up the shortcomings in the shortest possible time, who will get the biggest victory. Nash, the founder of game theory, believes that when two people who only pursue their own interests play a game, they will not choose to cooperate with each other, even if there is cooperation, they will not last. It is not difficult for us to find that there are short-term cooperations between companies including Haikang and Yitu. Once the mutual interests collide, this kind of superficial cooperation will fall apart and the fierce dispute will be out of control.
In the vast ocean of business, there are no big ships that never sink, and some innovative small businesses are more likely to “take the wind to sailâ€. On the other hand, if the sails of the start-ups are not enough to hold the wind at sea, they will eventually be swallowed up by the sea.
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