Artificial Intelligence (AI) is nothing new, but Google Bard, Microsoft Bing, ChatGPT and similar products have made this technology accessible and understandable to the average consumer. But privacy and security concerns have prompted a moratorium on AI development and interest in tighter regulations. While these risks must be addressed, the overall benefits of AI, machine learning, and large language models for cybersecurity and national security cannot be ignored. Instead, policymakers should consider how the United States can make the most of technology in these areas. There are three ways to directly apply the above technologies at the individual level, the system level and the national level.
First, AI benefits cyber defenders. In 2022, it took him about 277 days to identify and contain a data breach, but he took over 300 days to identify it, depending on the source of the breach. Interestingly, there is an average savings of $1.12 million if a breach is contained within 200 days, with an average savings of $3 million for organizations using AI and automation. Speed and economic savings are important, but some studies have shown improved detection rates. AI technologies automate tasks that would otherwise need to be done by human analysts, synthesize larger and more complex data sets, and potentially enable less skilled practitioners to respond better, thus making them more efficient. and serves as an important aspect of timely threat detection.
Automated threat assessment has become a reality with the recent emergence of specialized cybersecurity products that use large language models to assist defenders. Meanwhile, other advances are being developed that may allow us to analyze potential malware in seconds. The use of AI in cybersecurity has its drawbacks, such as the quality of data available for learning, but like most aspects of security, it should not be completely reliant on one solution. AI is not the only solution to cybersecurity, but it can play a role.
Second, AI can benefit legacy systems that are critical to national security. A recent Senate Armed Services Committee hearing examined how AI and machine learning could improve the work of the Department of Defense. Notably, it emphasized the fact that the United States possesses “major weapons systems worth trillions of dollars that are highly vulnerable to cyberattacks.” Unfortunately, cyber vulnerabilities in weapon systems are not a new discovery. Testing has shown that the system can be controlled using relatively simple tools and techniques, and can operate almost undetected.
But there is a growing notion that these threats cannot be addressed without AI and the benefits it brings. One of the most obvious applications is to detect anomalies and help determine what a cyberattack is. Even if our weapon systems were uniformly advancing from a security standpoint, AI would be an advantage, otherwise AI would be critical. Of course, as Army Vantage has shown, this technology also provides military operational advantages.
Third, AI can improve national security. This technology has spread far beyond the United States, and our adversaries are keen to make the most of it and its capabilities. As noted in the intelligence community’s annual threat assessment, “China is rapidly expanding and improving its artificial intelligence (AI) and big data analytics capabilities…” Directly advocating the desire to become an innovation center. Combine this. The fact that China is committed to extensive data collection, is not bound by the rule of law, and has built-in advantages. China certainly has no intention of agreeing to a moratorium on AI development or respecting best practices developed by the United States and its allies.
This does not mean that the United States should push AI without guardrails, but not viewing it as a strategic priority and fighting to stay ahead poses significant risks to the nation. This also means that governments and the private sector alike need to ensure AI is as secure as possible, as adversaries will seek to exploit any vulnerability. The recent investment announced by the White House will help, as will the existing efforts of the National Institute of Standards and Technology (NIST) through an AI risk management framework built on the cyber and privacy framework. Similarly, plans for hackers to publicly evaluate generative AI systems at his DEF CON 2023 are forward-looking, with past examples such as the “Defense Hack” where the government worked with hackers to discover vulnerabilities. reminds me of
While the negative and worrying aspects of AI have received a lot of attention, ignoring its positive and important applications, especially as Congress, the White House and regulators seek ways forward. You can not. Failure to recognize the cybersecurity and national security benefits of AI risks falling behind adversaries and missing cyber vulnerabilities.
Brandon Pugh is Director and Senior Fellow of the Cybersecurity and Emerging Threats team at the R Street Institute.
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