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Wondering How To Get Into Cybersecurity? Here’s What You Should KnowCybersecurity is a multifaceted industry, so it’s common for there to be confusion about how to get into the field. In this article, we’ll demystify cybersecurity, explore the industry’s employment outlook and detail how to get into cybersecurity (even if you have no experience).To be a great cybersecurity expert, you need technical skills such as risk assessment, intrusion detection, proficiency in programming languages and familiarity with Linux OS.Though it is rightfully known as a lucrative field, the cybersecurity industry is fraught with talent gaps. There just aren’t enough cybersecurity professionals to go around in the job market.As of 2021, the U.S. had over 1 million cybersecurity experts, yet 715,000 open jobs remained. As of April 2022, this skills gap hadn’t closed much, according to Cyberseek. The high demand for skilled professionals in this industry points to strong employment prospects for new cybersecurity specialists.The U.S. Bureau of Labor Statistics (BLS) projects a 35% employment growth for information security analysts from 2021 to 2031. This growth is about four times faster than the average projected growth rate for all jobs nationwide, making information security analyst the 14th fastest growing occupation in the country.One factor that sets cybersecurity apart from other fields is its high earning potential, available even to entry-level workers. The BLS reports that the median annual salary for information security analysts was $102,600 as of May 2021. That’s more than double the national median yearly wage for all occupations.According to Cyberseek, the average salary range for entry-level cybersecurity workers falls between $88,230 and $110,000 per year. Note that cybersecurity salaries may vary by position and location.How to Get Into CybersecurityAbout 90% of job postings in this field require a bachelor’s degree in cybersecurity, computer science or a related field. A traditional degree remains the most popular path to launching a cybersecurity career.You can earn a bachelor’s degree in cybersecurity either online or in person. If you are not in a position to commit to a four-year degree, even an associate in cybersecurity or computer science can get your foot in the door in most cases.You might wonder how to gain experience in cybersecurity without first landing a job in the field. To start, consider internships. An internship equips you with the practical skills and experience that employers seek. It also gives you a competitive edge over other applicants when you finally start looking for jobs.Other ways to gain relevant experience include working on solo cybersecurity projects and contributing to open-source projects.Whichever path you take, make sure to document your progress and experience. Include these details in your coding portfolio to improve your chances of getting a job.Obtain CertificationCISSP: The Certified Information Systems Security Professional certification is issued by the International Information System Security Certification Consortium (ISC)². This credential is ideal for cybersecurity professionals with at least five years of experience. This designation is a ticket to the senior role of chief information security officer (CISO).CISA: The Certified Information Systems Auditor® certification, administered by the Information Systems Audit and Control Association (ISACA)®, demonstrates your ability to audit, monitor and control an organization’s information systems. Only professionals who have five years of experience and get a high score on the test are eligible for this designation.Cybersecurity BootcampsIf you want to kickstart your career in the shortest possible time frame, consider attending a cybersecurity bootcamp.A bootcamp is an intensive study program that equips students with both the hard skills and the soft skills required to land jobs and excel in specific tech fields. Most bootcamps take about four to 20 weeks to complete. For part-time students, these programs can run for up to a year.Another upside to cybersecurity bootcamps is the availability of personalized programs. You can choose a bootcamp based on your current skill level and availability. Once you complete a cybersecurity bootcamp, you become eligible for entry-level positions like penetration tester, IT auditor, information security analyst and systems administrator.Popular Cybersecurity BootcampsThe right cybersecurity bootcamp depends on your price range, schedule and location. We highlight some of the most popular cybersecurity bootcamps below to give you an idea of what to expect.Springboard’s bootcamp is a 100% online bootcamp that spans 380 hours. It teaches students cybersecurity fundamentals, including systems and network security, security operations and vulnerability assessments. With 15-20 hours of weekly study, students can complete this program and become Security+ certified in six months.This program promises to take students from zero to job-ready in the span of 13 weeks (or 26 weeks for part-time students). Students can gain practical cybersecurity skills through various workshops and labs that mimic real-life scenarios.ASU’s Cybersecurity BootcampArizona State University offers a 24-week, in-person bootcamp for beginners. Students receive in-depth training in networking, web technologies and defensive and offensive cybersecurity. This bootcamp is ideal for part-time students who work or still attend college.Frequently Asked Questions About CybersecurityYou can start a career in cybersecurity by enrolling in college, attending a bootcamp or pursuing self-education. Combining all three learning models can build a strong foundation in the field.Getting into cybersecurity is relatively easy once you gain the education and experience. You can acquire significant experience in this field through internships and by contributing to open-source projects.How do I start in cybersecurity with no experience?The first step is getting an education via college or a reputable bootcamp. You can then apply for paid or unpaid internship positions to gain practical knowledge from senior cybersecurity specialists

MIT Report Validates Impact Of Deep Learning For CybersecuritySeptember 23, 2022 by Tony BradleyA new report from MIT and Deep Instinct seeks to dispel confusion in the cybersecurity market … [+] between artificial intelligence, machine learning, and deep learning.gettyThere are a lot of buzzwords in the world of cybersecurity marketing. When an emerging concept hits a certain viral tipping point, it seems like suddenly all vendors are using the same buzzword—which just makes everything more confusing. Artificial intelligence and machine learning are ubiquitous in cybersecurity marketing—and often confused with each other and with deep learning. A recent report from MIT clarifies the distinction between the three, and emphasizes the value of deep learning for more effective cybersecurity.The MIT Technology Review Insights report, titled “Deep learning delivers proactive cyber defense,” is sponsored by Deep Instinct—a cybersecurity vendor that developed the world’s first and only purpose-built deep learning cybersecurity framework. The company—which announced a shift in executive leadership this week with Lane Bess, former Palo Alto Networks CEO and Zscaler COO, taking over as CEO and Guy Caspi, Deep Instinct’s co-founder and former CEO succeeding Bess as Board Chair and transitioning to the role of Chief Product Officer—is on a mission to demonstrate that prevention is better than detection and response, and that deep learning is the differentiator that makes it possible.Karen Crowley, Director of Solutions Marketing for Deep Instinct, said, “This paper from MIT is important for the industry to explain the key differences between machine learning and deep learning. There is a perception that all AI [artificial intelligence] is equal, and organizations need to understand the differences in the outcomes they can achieve. Deep learning provides a game-changing methodology for preventing attacks before detection and response.”The MIT report explains, “The terms “AI,” “machine learning,” and “deep learning” are often confused. The technologies are separate but related. AI is a broad umbrella that encompasses a number of technologies, including machine learning and deep learning. Machine learning is a subset of AI, and deep learning is a subset of machine learning.”In other words, all of it falls under the term “artificial intelligence,” and strives to simulate human intelligence or problem-solving in some way. Machine learning goes a step further with a model that is capable of learning and improving based on additional data. Deep learning takes machine learning to another level—adding a layered neural network capable of working with exponentially larger volumes of both structured and unstructured data to process and learn at a significantly higher scale.MORE FOR YOUWestern Digital’s Journey To Build Business Resiliency Through Cloud And ERP TransformationAmazon Climate Pledge: Two Years In And Going StrongMicrosoft Takes First Steps To Finally Kill The PasswordIt’s important to understand the differences and not simply assume that all AI is created equally, though, because when it comes to cybersecurity, deep learning is capable of delivering benefits the other two can’t match.Much of the difference comes down to the data and how the different models are trained. Machine learning typically trains on about 2% of the data—focusing on things like headers and metadata. By contrast, deep learning absorbs 100% of the raw data.The deep learning model ingests both what good data looks like and what bad data looks like—and it does so at exponentially greater scale. Millions upon millions of samples are fed to the neural network, which enables the model to have better context and greater accuracy in being able to predict behavior and proactively recognize threats with very few false positives.Deep learning has proven especially effective in the fight against ransomware. Once the ransomware payload is executed and a victim’s data is encrypted, it’s essentially too late. Detecting and responding at that point won’t do you any good. You need to be able to prevent the ransomware encryption in the first place. Deep learning enables the model to understand the DNA of what an attack looks like and accurately predict suspicious and malicious behavior. It doesn’t need to have seen that specific attack before, and it doesn’t need to have a full understanding or signature of how the attack works or expect the attack to follow a prescribed scenario. The ability to predict and prevent ransomware attacks before they execute is crucial.“Deep Learning is critical for cybersecurity to get ahead of attacks like ransomware,” agreed Mirel Sehic, Global Director of Cybersecurity for Honeywell. “We need to beat attackers at their own game. Deep learning provides that opportunity by understanding the DNA of files and immediately determine if there is malicious intent before it can land and infiltrate an environment.”Proving the PointDeep Instinct understands that there is a lot of confusion and misinformation to contend with—both for deep learning relative to other models of artificial intelligence, and for the concept of prevention as opposed to the prevailing mantra of detection and response.This MIT report is one example of Deep Instinct striving to demonstrate the value of deep learning and educate the market, but it is not their first. Deep Instinct also recently engaged with Unit 221B to conduct a thorough, independent test to evaluate their threat prevention capabilities.Deep Instinct passed that evaluation with flying colors—and turned Unit 221B CEO Lance James from a skeptic to a believer. The Unit 221B team threw everything they had at Deep Instinct—including custom ransomware using proprietary techniques—and Deep Instinct stopped them all.Take a look at the MIT report and the results of the Unit 221B evaluation and decide for yourself. Perhaps deep learning can break the assumed breach mentality and help organizations actively prevent cyberattacks rather than just trying to detect and respond to them faster.

MIT Report Validates Impact Of Deep Learning For CybersecuritySeptember 23, 2022 by Tony BradleyA new report from MIT and Deep Instinct seeks to dispel confusion in the cybersecurity market … [+] between artificial intelligence, machine learning, and deep learning.gettyThere are a lot of buzzwords in the world of cybersecurity marketing. When an emerging concept hits a certain viral tipping point, it seems like suddenly all vendors are using the same buzzword—which just makes everything more confusing. Artificial intelligence and machine learning are ubiquitous in cybersecurity marketing—and often confused with each other and with deep learning. A recent report from MIT clarifies the distinction between the three, and emphasizes the value of deep learning for more effective cybersecurity.The MIT Technology Review Insights report, titled “Deep learning delivers proactive cyber defense,” is sponsored by Deep Instinct—a cybersecurity vendor that developed the world’s first and only purpose-built deep learning cybersecurity framework. The company—which announced a shift in executive leadership this week with Lane Bess, former Palo Alto Networks CEO and Zscaler COO, taking over as CEO and Guy Caspi, Deep Instinct’s co-founder and former CEO succeeding Bess as Board Chair and transitioning to the role of Chief Product Officer—is on a mission to demonstrate that prevention is better than detection and response, and that deep learning is the differentiator that makes it possible.Karen Crowley, Director of Solutions Marketing for Deep Instinct, said, “This paper from MIT is important for the industry to explain the key differences between machine learning and deep learning. There is a perception that all AI [artificial intelligence] is equal, and organizations need to understand the differences in the outcomes they can achieve. Deep learning provides a game-changing methodology for preventing attacks before detection and response.”The MIT report explains, “The terms “AI,” “machine learning,” and “deep learning” are often confused. The technologies are separate but related. AI is a broad umbrella that encompasses a number of technologies, including machine learning and deep learning. Machine learning is a subset of AI, and deep learning is a subset of machine learning.”In other words, all of it falls under the term “artificial intelligence,” and strives to simulate human intelligence or problem-solving in some way. Machine learning goes a step further with a model that is capable of learning and improving based on additional data. Deep learning takes machine learning to another level—adding a layered neural network capable of working with exponentially larger volumes of both structured and unstructured data to process and learn at a significantly higher scale.MORE FOR YOUWestern Digital’s Journey To Build Business Resiliency Through Cloud And ERP TransformationAmazon Climate Pledge: Two Years In And Going StrongMicrosoft Takes First Steps To Finally Kill The PasswordIt’s important to understand the differences and not simply assume that all AI is created equally, though, because when it comes to cybersecurity, deep learning is capable of delivering benefits the other two can’t match.Much of the difference comes down to the data and how the different models are trained. Machine learning typically trains on about 2% of the data—focusing on things like headers and metadata. By contrast, deep learning absorbs 100% of the raw data.The deep learning model ingests both what good data looks like and what bad data looks like—and it does so at exponentially greater scale. Millions upon millions of samples are fed to the neural network, which enables the model to have better context and greater accuracy in being able to predict behavior and proactively recognize threats with very few false positives.Deep learning has proven especially effective in the fight against ransomware. Once the ransomware payload is executed and a victim’s data is encrypted, it’s essentially too late. Detecting and responding at that point won’t do you any good. You need to be able to prevent the ransomware encryption in the first place. Deep learning enables the model to understand the DNA of what an attack looks like and accurately predict suspicious and malicious behavior. It doesn’t need to have seen that specific attack before, and it doesn’t need to have a full understanding or signature of how the attack works or expect the attack to follow a prescribed scenario. The ability to predict and prevent ransomware attacks before they execute is crucial.“Deep Learning is critical for cybersecurity to get ahead of attacks like ransomware,” agreed Mirel Sehic, Global Director of Cybersecurity for Honeywell. “We need to beat attackers at their own game. Deep learning provides that opportunity by understanding the DNA of files and immediately determine if there is malicious intent before it can land and infiltrate an environment.”Proving the PointDeep Instinct understands that there is a lot of confusion and misinformation to contend with—both for deep learning relative to other models of artificial intelligence, and for the concept of prevention as opposed to the prevailing mantra of detection and response.This MIT report is one example of Deep Instinct striving to demonstrate the value of deep learning and educate the market, but it is not their first. Deep Instinct also recently engaged with Unit 221B to conduct a thorough, independent test to evaluate their threat prevention capabilities.Deep Instinct passed that evaluation with flying colors—and turned Unit 221B CEO Lance James from a skeptic to a believer. The Unit 221B team threw everything they had at Deep Instinct—including custom ransomware using proprietary techniques—and Deep Instinct stopped them all.Take a look at the MIT report and the results of the Unit 221B evaluation and decide for yourself. Perhaps deep learning can break the assumed breach mentality and help organizations actively prevent cyberattacks rather than just trying to detect and respond to them faster.

The future of cybersecurity spotlighted at SECURITY 500 ConferenceRansomware, phishing and nation-state cyberattacks have posed serious threats to organizations throughout the past year, and cybersecurity incidents will continue to evolve going forward.Chief information security officers and security executives will discuss these rapidly changing threats and their implications for enterprise cybersecurity, security technology and more in a panel at the SECURITY 500 Conference in Washington, D.C. on November 14, 2022.In a panel titled “The Future of Cybersecurity,” security leaders will discuss the evolving cyber threats facing organizations and how cybersecurity professionals can respond to a new generation of cyberattacks. The panel will feature leading security executives including:Derrick A. Butts, CISSP, ITIL: Digital Continuity & Cyber-Business Transformation Advisor at Continuums Corp.The SECURITY 500 Conference unites high-level security executives in Washington, D.C. on November 14, 2022. This one-day leadership conference and OSAC opener event is free to attend, and attendees are limited to security executives, senior management and their direct reports in both private and public sectors.Read the full conference agenda to discover our complete lineup of expert security speakers and register for the SECURITY 500 Conference today!

ISG Partners With cyberconIQ on Human Side of CybersecuritySeptember 19, 2022STAMFORD, Conn.–(BUSINESS WIRE)–Information Services Group (ISG) (Nasdaq: III), a leading global technology research and advisory firm, said today it is has formed a partnership with cyberconIQ, a cybersecurity platform and advisory company, to address the human side of cybersecurity.“Working together, our combination of technology and people-based approaches will help companies significantly improve their cyber defenses and risk awareness.”Under the new partnership, ISG Cybersecurity will be able to offer its clients the capabilities of cyberconIQ’s Human Defense Platform, a SaaS-based solution that helps mitigate the human factors that create cyber risk, while cyberconIQ will be able to offer its customers access to the full range of ISG Cybersecurity services.“People are one of the biggest risks to enterprise cybersecurity,” said Doug Saylors, partner and co-leader of ISG Cybersecurity. “Some 85 percent of breaches today involve human error, with breaches caused by phishing attempts up 25 percent in the last year alone. To combat this problem, enterprises need to strengthen their cybersecurity culture and help people become their own—and their employers’—best protection against cyber threats.”Saylors said the partnership with cyberconIQ will enable ISG Cybersecurity to offer its clients a platform-based approach to identify individual risk styles among employees, increase overall security awareness, and actively monitor, measure, model and manage people-related cyber risk.“The solution set of cyberconIQ is a welcome addition to ISG Cybersecurity’s market-leading portfolio of advisory, benchmarking, sourcing, organizational change management and third-party risk management capabilities,” Saylors said.CyberconIQ’s Human Defense Platform is proven to reduce people-related cyber risk by up to 95 percent, said the company’s CEO and Founder Dr. James Norrie.“We are able to substantially reduce cyber risk by leveraging our CYBERology™ approach – the intersection of cybersecurity and psychology,” said Norrie. “We embed behavioral science methods targeting changes in on-the-job behavior into all of our cybersecurity solutions.”The cyberconIQ offering includes the patented myQ Risk-Style Questionnaire, unIQue Security Awareness Education modules, cybermetrIQs Cyber Risk Dashboard, phishFixIQ Phishing Simulation and Remediation solution, and leaderIQ adaptive learning approach to creating a risk-aware and compliant culture.“We are excited to be working with ISG and its blue-chip client roster to bring the benefits of our human-centered approach to cybersecurity to more organizations,” Norrie said. “Working together, our combination of technology and people-based approaches will help companies significantly improve their cyber defenses and risk awareness.”ISG Cybersecurity is a unit of ISG that helps enterprise clients increase their cybersecurity maturity in line with their overall digital transformations. The unit helps clients assess and benchmark their cybersecurity programs, develop a cybersecurity strategy, design and implement their cybersecurity operating model, design overall solutions and select appropriate vendors, manage third-party risk and create and execute cybersecurity awareness and training programs.Headquartered in York, Penn., cyberconIQ was founded with the knowledge that technical approaches to cybersecurity alone do not address the prevalent issues we face today. With years of research and development with financial industry leaders, Dr. James Norrie discovered that our foundational CYBERology™ approach – the intersection of cybersecurity and psychology – would improve security outcomes and would advance the risk and compliance culture within organizations world-wide. With proven results that are 8 – 10x more effective than generic training alternatives, cyberconIQ’s platform measurably reduces the risk of a human-factors cybersecurity breach or data leak. Visit cyberconIQ.com to learn more.ISG (Information Services Group) (Nasdaq: III) is a leading global technology research and advisory firm. A trusted business partner to more than 800 clients, including more than 75 of the world’s top 100 enterprises, ISG is committed to helping corporations, public sector organizations, and service and technology providers achieve operational excellence and faster growth. The firm specializes in digital transformation services, including automation, cloud and data analytics; sourcing advisory; managed governance and risk services; network carrier services; strategy and operations design; change management; market intelligence and technology research and analysis. Founded in 2006, and based in Stamford, Conn., ISG employs more than 1,300 digital-ready professionals operating in more than 20 countries—a global team known for its innovative thinking, market influence, deep industry and technology expertise, and world-class research and analytical capabilities based on the industry’s most comprehensive marketplace data. For more information, visit www.isg-one.com.

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