Every technological advance starts with an original idea, and in 2017 the co-founder of Axonius realized he had one. Dean Sysman, now the CEO at Axonius, knew that most of his fellow cybersecurity experts were focusing primarily on stopping cyber threats and finding the culprits. But what was even harder than pinpointing threats was getting a count of the assets that could be compromised.
Experts say the cybersecurity problem is too vast and complex to be solved by traditional approaches alone. Artificial intelligence (AI) can offer a lifeline to organizations overwhelmed by massive volumes of information technology (IT) and OT data as they try to stay ahead of the next big threat. MeriTalk recently sat down with two cybersecurity and AI experts at NVIDIA – Bartley Richardson, director of cybersecurity engineering, and David Reber, the company’s chief security officer, to discuss how AI can help solve the thorniest cybersecurity challenges.
This is the third in a three-part discussion about cyber asset inventories with Tom Kennedy, vice president of Axonius Federal Systems. Part one explored the role that cyber asset inventories play in establishing a zero trust approach to cybersecurity, and part two examined Federal government requirements for reliable asset inventories and their many benefits. Part three addresses the emerging need for cyber asset attack surface management and how agencies can best meet that need.
This is the second in a three-part discussion about cyber asset inventories with Tom Kennedy, vice president of Axonius Federal Systems. In the previous interview, Kennedy spoke to MeriTalk about the role that cyber asset inventories play in establishing a zero trust approach to cybersecurity. Part two examines Federal government requirements for reliable asset inventories and their many benefits.
Cyberattacks, connected devices, and data are growing exponentially every year, into the billions, trillions, and zettabytes, respectively. Neither people nor traditional cybersecurity solutions can keep up with the data or the attacks. In this episode of MeriTalking, NVIDIA’s Killian Sexsmith and Matt Penn outline the burgeoning cybersecurity problem agencies face today and explore the Federal […]
Digital twin capabilities have been growing at Federal agencies in recent years, deployed for everything from fighting wildfires to digitally designing aircraft for NASA. A 2021 survey found that 24 percent of Federal executives said their organization was experimenting with digital twin technology – which is made possible by the Internet of Things (IoT) – while 63 percent expected their organization’s investment in intelligent digital twins to increase over the next three years.
In recent years, the concept of an AI-empowered digital workforce has gained traction in the public and private sectors as employers seek ways to create efficiencies and alleviate the workload overload that many employees feel. The COVID-19 pandemic in particular has accelerated the trend.
America is experiencing a technology revolution – one that is fueled by new funding, private and public sector partnerships, workforce needs, and global competition. And the issues and opportunities that come with emerging technologies are changing government IT and the Federal ecosystem as we know it.
In IT, as in life, the greatest risks and opportunities are in the shadows. Bipartisan legislation is quietly on its way to President Biden’s desk that could reduce cybersecurity risk at the Department of Veterans Affairs (VA) and create the opportunity for Congress to tackle a growing government-wide problem: the proliferation of IT devices and systems being used without proper approval, commonly known as Shadow IT
As Federal agencies undergo IT modernization, they confront unique challenges, including the added complexity of multiple physical locations managing IT and cybersecurity functions in silos. New initiatives aim to develop enterprise cybersecurity models to increase safety, security, and effectiveness while reducing costs. MeriTalk recently sat down with Aruna Mathuranayagam, chief technology officer at Leidos, to discuss how agencies can approach IT modernization to achieve the speed, scale, and security they need.