The hidden danger of artificial intelligence in cyber security
Artificial Intelligence Certification:
Today the IT world is looking towards Artificial Intelligence, because of itsunique features. In a nutshell AI is basically creating smart machines. As weknow that technology sounds really complex. But the salary of an AI architectmight compel you to learn this technology. According to Stephen Hawking,“Success in creating Artificial Intelligence would be the biggest advent inthe human history”, that’s very well said and true enough.AI architect role is to develop an advice complex AI solutions to meet theclient requirements. For that you should be pretty good with mathematics andstatistics background. And good hands-on knowledge on AI related technologieslike Deep Learning and Machine learning is must. On an average salary forsomeone who is certified with this certification is ranges between $140,000 to$150,000 per annum.Prerequisites: * Development of AI Solutions * Developing Complex AI Architectures * Advice Clients on Best AI Solutions * Knowledge on Analysation of Algorithms * 2–4 years of real-time experience is mandatory.
B.Tech in Artificial Intelligence: Salary Trends
Artificial Intelligence is increasing at an accelerated pace, and there is anacute shortage of trained and professional people in this field. Naturally,the more diverse the requirements, the greater the difference in the positionsof AI and their respective compensation packages. The average salary is 14.3lakhs while the entry-level Artificial Intelligence salary in India for nearly40 per cent of the workforce earns around 6 lakhs and at the senior levels itcan go up to 50 lakhs a year. Artificial intelligence wages at the mid-leveland senior-level could raise more than Rs. 50,00,000 in India.In the past few years , AI jobs have exploded in recent years to satisfy therising demands of digitally transformed industries. The demand for AIexpertise has more than doubled in the last three years, with work vacanciesin the sector increasing by a staggering 119 percent.
Artificial Intelligence Salary in India
Artificial Intelligence (AI) has been one of the hottest buzzwords in the techsphere for quite some time now. As Data Science is advancing, both AI and MLare also advancing by leaps and bounds. In fact, AI adoption across variousparallels of the industry is taking place at such a rapid speed that Gart nerpredicts, by 2020, AI will create around 2.3 million jobs!If you are a part or wish to be a part of this fast-paced, creative, andchallenging industry, then read on to know the best job roles in artificialintelligence and the salary range in India.Essentially, AI is a broad canvas that encompasses machine learning, deeplearning, and natural language processing (NLP), among other things. As aresult, AI applications across various industries are highly expansive,including innovations like AR/VR, smart personal assistants, IoT, gaming,robotics, face recognition software, speech recognition, vision recognition,recommendation engines, and much more.We are sure, this must-have sparked a will to become a AI programmer withinyou! Let’s take a look at what is a typical artificial intelligence salary inIndia?
Artificial Intelligence Salary Range in India
Naturally, the more varied the applications, the greater is the variation inAI job roles and their respective salary packages. For instance, while theentry-level Artificial Intelligence salary in India for almost 40% ofprofessionals earn around Rs. 6,00,000, mid-level and senior-level artificialintelligence salary could earn more than Rs. 50,00,000 in India.In the past few years, careers in AI have peaked to cater to the growingdemands of digitally transformed industries. According to a 2018 report byIndeed, the need for AI skills has more than doubled in the past three years,with job postings in the domain going up by a whopping 119%.SourceUnfortunately, there are not enough talented professionals in Data Science (AIand ML) who can fill these job vacancies. According to a study by AnalyticsIndia Magazine in collaboration with Great Learning, “over 4,000 positions inIndia remain vacant due to shortage of qualified talent at the mid and seniorlevel.”The shortage of qualified professionals in AI is because it is still anemerging technology that demands a unique and specific set of skills. Becauseof the shortage of talents in this field, the salary range of artificialintelligence in India is high. The more skills and experience you acquire inthis domain, the higher will be your remuneration.
The role of AI in cyber security and how it’s reinventing cyber security
and cybercrime alikeArtificial intelligence poses both a blessing and a curse to businesses,customers, and cybercriminals alike.AI technology is what provides us with speech recognition technology (thinkSiri), Google’s search engine, and Facebook’s facial recognition software.Some credit card companies are now using AI to help financial institutionsprevent billions of dollars in fraud annually. But what about its applicationsin cyber security? Is artificial intelligence an advantage or a threat to yourcompany’s digital security?On one hand, artificial intelligence in cyber security is beneficial becauseit improves how security experts analyze, study, and understand cybercrime. Itenhances the cyber security technologies that companies use to combatcybercriminals and help keep organizations and customers safe. On the otherhand, artificial intelligence can be very resource intensive. It may not bepractical in all applications. More importantly, it also can serve as a newweapon in the arsenal of cybercriminals who use the technology to hone andimprove their cyberattacks.The discussion about artificial intelligence in cyber security is nothing new.In fact, two years ago, we were writing about how artificial intelligence andmachine learning would change the future of cyber security. After all, data isat the core of cyber security trends. And what better way to analyze data thanto use computers that can think and do in nanoseconds tasks that would takepeople significantly more time?Artificial intelligence is a growing area of interest and investment withinthe cyber security community. We’ll discuss advances in artificialintelligence security tools and how the technology impacts organizations,cybercriminals, and consumers alike.Let’s hash it out.
How artificial intelligence cyber security measures improve digital
securityIdeally, if you’re like many modern businesses, you have multiple levels ofprotection in place — perimeter, network, endpoint, application, and datasecurity measures. For example, you may have hardware or software firewallsand network security solutions that track and determine which networkconnections are allowed and block others. If hackers make it past thesedefenses, then they’ll be up against your antivirus and anti-malwaresolutions. Then perhaps they may face your intrusion detection/intrusionprevention solutions (IDS/IPS), etc., etc.But what happens when cybercriminals get past these protections? If your cybersecurity is dependent on the capabilities of human-based monitoring alone,you’re in trouble. After all, cybercrime doesn’t follow a set schedule —yourcyber security response capabilities shouldn’t either. You need to be able todetect, identify, and respond to the threats immediately — 24/7/365.Regardless of holidays, non-work hours, or when employees are otherwiseunavailable, your digital security solutions need to be up to the task andable to respond immediately. Artificial intelligence-based cyber securitysolutions are designed to work around the clock to protect you. AI can respondin milliseconds to cyberattacks that would take minutes, hours, days, or evenmonths it would take humans to identify.
What cyber security executives think about AI
Capgemini Research Institute analyzed the role of cyber security and theirreport “Reinventing Cybersecurity with Artificial Intelligence” indicates thatbuilding up cyber security defenses with AI is imperative for organizations.This is, in part, because the survey’s respondents (850 executives from cybersecurity, IT information security and IT operations across 10 countries)believe that AI-enabled response is necessary because hackers are alreadyusing the technology to perform cyberattacks.Some of the report’s other key takeaways include: * 75% of surveyed executives say that AI allows their organization to respond faster to breaches. * 69% of organizations think AI is necessary to respond to cyberattacks. * Three in five firms say that using AI improves the accuracy and efficiency of cyber analysts.The use of artificial intelligence can help broaden the horizons of existingcyber security solutions and pave the way to create new ones. As networksbecome larger and more complex, artificial intelligence can be a huge boon toyour organization’s cyber protections. Simply put, the growing complexity ofnetworks is beyond what human beings are capable of handling on their own. Andthat’s okay to acknowledge — you don’t have to be prideful. But it does leaveyou with answering a critical question: What are you going to do to ensureyour organization’s sensitive data and customer information are secure?
Artificial intelligence in cyber security: how you can add AI to your
defenseEffectively integrating artificial intelligence technology into your existingcyber security systems isn’t something that can be done overnight. As you’dguess, it takes planning, training, and groundwork preparation to ensure yoursystems and employees can use it to its full advantage.In an article for Forbes, Allerin CEO and founder Naveen Joshi shares thatthere are many ways that AI systems can integrate with existing cyber securityfunctions. Some of these functions include: * Creating more accurate, biometric-based login techniques * Detecting threats and malicious activities using predictive analytics * Enhancing learning and analysis through natural language processing * Securing conditional authentication and access Once you’ve integrated AI into your cyber security solutions, your cybersecurity analysts and other IT security employees need to know how toeffectively use it. This takes both time and training. Be sure to not neglectinvesting in your organization’s human element.
The downsides of artificial intelligence in cyber security: cost,
resources, and trainingAlthough there are many advantages to integrating artificial intelligence incyber security, there are also disadvantages to be aware of. Among the chiefchallenges of implementing AI in cyber security is that it requires moreresources and finances than traditional non-AI cyber security solutions.In part, that’s because cyber security solutions that are built on AIframeworks — and those aren’t cheap. As such, they’ve historically beenprohibitively expensive for many businesses — small to midsize businesses(SMBs) in particular. However, there are new security-as-a-service (SaaS)solutions that are making AI cyber security solutions more cost-effective forbusinesses. And, let’s just be realistic, it’s a lot cheaper to pay foreffective cyber security solutions than it is to pay the fines, downtime, andother costs associated with successful cyberattacks.
Dealing with the vulnerabilities that artificial intelligence cyber
security tools createThe use of artificial intelligence in cyber security creates new threats todigital security. Just as AI technology can be used to more accuratelyidentify and stop cyberattacks, the AI systems also can be used bycybercriminals to launch more sophisticated attacks. This is, in part, becauseaccess to advanced artificial intelligence solutions and machine learningtools are increasing as the costs of developing and adapting thesetechnologies decreases. This means that more complex and adaptive malicioussoftware can be created more easily and at lower cost to cybercriminals.This combination of factors creates vulnerabilities for cybercriminals toexploit. Let’s consider the following example:Imagine that one of your finance employees receives a phone call from “you.”In the call, “you” instruct them to transfer more than $2 million from thecompany’s account to a vendor or partner company. When they ask forverification, “you” assure them that it’s fine and for them to perform thetransfer immediately so as to not hold up an important project.However, the problem is that you haven’t called them — nor did you tell themto send millions of dollars to another account. In fact, as it turns out, acybercriminal used a combination of social engineering and “vishing,” or avoice phishing call, to your employee while pretending to be you. However,they took their attack to the next level by using artificial intelligence-based software that “learns” to mimic and “speak” using your voice. This meansthat even if the victim knows what you sound like, they’re more likely to fallfor the scam because it actually sounds like you making the call.But how is this possible? XinhuaNet reports that there are AI softwareprograms that, after just 20 minutes of listening to your voice, is capable of“speaking” any typed message in your voice.
The hidden danger of artificial intelligence in cyber security
One of the less-acknowledged risks of artificial intelligence in cybersecurity concerns the human element of complacency. If your organizationadopts AI and machine learning as part of their cyber security strategy,there’s a risk that your employees may be more willing to lower their guard.We don’t need to re-state the dangers of complacent and unaware employees aswe’ve already talked about the importance of cyber security awareness manytimes.
Adversarial AI: how hackers use your AI against you
Another risk of artificial intelligence in cyber security comes in the form ofadversarial AI, a term used to refer to the development and use of AI formalicious purposes. Accenture identifies adversarial AI as something that“causes machine learning models to misinterpret inputs into the system andbehave in a way that’s favorable to the attacker.” Essentially, this occurswhen an AI system’s neural networks are tricked into misidentifying ormisclassifying objects due to intentionally modified inputs. Let’s considerthe example of a pair of sunglasses sitting on a table. A human eye would beable to see the image of the sunglasses. With adversarial AI, the sunglassesaren’t there.What’s the purpose of doing that? Let’s replace the table-and-sunglassesscenario with a self-driving vehicle. Imagine what would happen if a hackerdecided to create adversarial images of stop signs or red lights. The AI wouldno longer see these traffic signals and would risk maiming or killing thevehicle’s occupant(s) along with other drivers, pedestrians, etc. Or, imaginethat a cybercriminal creates an adversarial image that can bypass facialrecognition software. For example, an iPhone X’s “FaceID” access feature usesneural networks to recognize faces, making it susceptible to adversarial AIattacks. This would allow hackers to simply bypass the security feature andcontinue their assault without drawing attention.Without the right protections or defenses in place, the applications for cybercriminals could be virtually limitless. Thankfully, cyber security researchersrecognize the risks associated with adversarial AI. They’re donning theirwhite hats and are “building defenses and creating pre-emptive adversarialattack models to probe AI vulnerabilities,” according to an article in IBM’sSecurity Intelligence research blog. IBM’s Dublin labs is also involved in theeffort and developed an adversarial AI library called the IBM AdversarialRobustness Toolbox (ART).