However, most companies don't have the resources to implement sophisticated AI programs to stay secure and advance digital capabilities on their own. Irrespective of size, available budget, and in-house personnel, all energy companies must manage operations and security fundamentals to ensure they have visibility and monitoring across powerful digital tools to remain resilient and competitive. The achievement of that goal is much more likely in partnership with the right experts. MIT Technology Review Insights, in association with Siemens Energy, spoke to more than a dozen information technology (IT) and cybersecurity executives at oil and gas companies worldwide to gain insight about how AI is affecting their digital transformation and cybersecurity strategies in oil and gas operating environments. Energy sector organizations are presented with a major opportunity to deploy AI and build out a data strategy that optimizes production and uncovers new business models, as well as secure operational technology. Oil and gas companies are faced with unprecedented uncertainty--depressed oil and gas prices due to the coronavirus pandemic, a multiyear glut in the market, and the drive to go green--and many are making a rapid transition to digitalization as a matter of survival.
Cybersecurity is set to be one of the areas most impacted by artificial intelligence (AI) technologies, with both organizations and cyber criminals deploying AI in their own ways. As AI increases the risk and effectiveness of cyber attacks, organizations must also increase their efforts. The future outcomes of such attacks will greatly depend on who has a better grasp of AI technologies. As we become more of a digital world, the risk of AI-powered cyber attacks also dramatically increases. AI and machine learning are not only used by IT security professionals, but they are deployed by state-sponsored actors, criminal cyber organizations, and individuals.
What do IT leaders believe the future of the profession will be, and what kind of threats will be most pervasive down the line? Dallas, TX-based cloud security firm Trend Micro recently carried out new research which reveals that over two-fifths (41%) of IT leaders believe that AI will replace their role by 2030. Its predictions report, Turning the Tide, forecasts that remote and cloud-based systems will be ruthlessly targeted in 2021. The research was compiled from interviews with 500 IT directors and managers, CIOs and CTOs and does not look good for their career prospects. Only 9% of respondents were confident that AI would definitely not replace their job within the next decade.
This year saw automation become a mainstream tech trend, with the COVID pandemic causing nation-wide shutdowns. As employees were isolated in their houses, IT companies switched to the work from home model. However, the same could not be replicated in the manufacturing and other secondary industries. This is why, business leaders had to adopt automation practices to sustain their businesses and enable smoother operation of organizational practices (including IT). This trend will not end here.
The growth of myriad cyber-threats continues to accelerate, yet the stream of new and effective cyber-defense technologies has grown much more slowly. The gap between threat and defense has widened, as our adversaries deploy increasingly sophisticated attack technology and engage in cyber-crime with unprecedented power, resources, and global reach. We are in an escalating asymmetric cyber environment that calls for immediate action. The extension of cyber-attacks into the socio-techno realm and the use of cyber as an information influence and disinformation vector will continue to undermine our confidence in systems. The unknown is a growing threat in our cyber information systems.
As IT environments become more dynamic, hybrid, and complex, it's becoming increasingly difficult for security operations center (SOC) teams to quickly detect and address critical threats with traditional tools. SOC staff must process and analyze a massive--and growing--amount of data, as they face ever more sophisticated cyber attacks. To respond effectively, SOC leaders can't keep adding rules-based tools to their already large and often unwieldy security stack. Instead, they need AI technology that analyzes data at scale and in real time and that uses machine learning to spots any anomalies that could signal a breach. That way, SOC teams detect unknown, fast-evolving threats missed by rules-based products configured to spot known attacks.
Gartner's latest Information Security and Risk Management forecast predicts the market will achieve ... [ ] an 8.3% Compound Annual Growth Rate (CAGR) growth rate from 2019 through 2024, reaching $211.4 billion. Bottom Line: In 2021, cybersecurity vendors will accelerate AI and machine learning app development to combine human and machine insights so they can out-innovate attackers intent on escalating an AI-based arms race. Attackers and cybercriminals capitalized on the chaotic year by attempting to breach a record number of enterprise systems in e-commerce, financial services, healthcare and many other industries. AI and machine learning-based cybersecurity apps and platforms combined with human expertise and insights make it more challenging for attackers to succeed in their efforts. Accustomed to endpoint security systems that rely on passwords alone, admin accounts that don't have fundamental security in place, including Multi-Factor Authentication (MFA) and more and attackers created a digital pandemic this year. Interested in what the leading cybersecurity experts are thinking will happen in 2021, I contacted twenty of them who are actively researching how AI can improve cybersecurity next year. Leading experts in the field include including Nicko van Someren, Ph.D. and Chief Technology Officer at Absolute Software, BJ Jenkins, President and CEO of Barracuda Networks, Ali Siddiqui, Chief Product Officer and Ram Chakravarti, Chief Technology Officer, both from BMC, Dr. Torsten George, Cybersecurity Evangelist at Centrify, Tej Redkar, Chief Product Officer at LogicMonitor, Bill Harrod, Vice President of Public Sector at Ivanti, Dr. Mike Lloyd, CTO at RedSeal and many others.
To gain an insight into these and other essential 2021 trends for businesses, Digital Journal caught up with Robert Prigge, CEO of Jumio. Addressing bias in AI algorithms will be a top priority causing guidelines to be rolled out for machine learning support of ethnicity for facial recognition. Prigge explains: "Enterprises are becoming increasingly concerned about demographic bias in AI algorithms (race, age, gender) and its effect on their brand and potential to raise legal issues. Evaluating how vendors address demographic bias will become a top priority when selecting identity proofing solutions in 2021." Prigge adds: "According to Gartner, more than 95 percent of RFPs for document-centric identity proofing (comparing a government-issued ID to a selfie) will contain clear requirements regarding minimizing demographic bias by 2022, an increase from fewer than 15 percent today. Organizations will increasingly need to have clear answers to organizations who want to know how a vendor's AI "black box" was built, where the data originated from and how representative the training data is to the broader population being served."
The cybersecurity industry is trending upwards. More people are sharing sensitive data online, which entices criminals to find new ways to attack internet users. Every industry faces change, but the change the cybersecurity industry is facing may threaten job security. What Change is Threatening Job Security? A couple of trends are doing this.