Counter Ai Offensive Tools And Techniques Csiac
Posted on February 7, 2024 | Completed on June 30, 2023 | By: Philip Payne, Joseph Matthew Friar, Curtis Smedley The Cybersecurity & Information Systems Information Analysis Center performed open-source research and obtained white papers and reports from numerous sources to include the Defense Technical Information Center Research and Engineering Gateway and Elsevier’s ScienceDirect. Overall, the research showed that the best way to counter artificial intelligence (AI) offensive tools was with AI defensive tools. The resulting research is described in detail. This TI response report is organized into three distinct sections: (1) completed cyber-AI research, (2) current market studies, and (3) cyber-AI centers. The first section discusses completed cyber-AI research, with reports and perspectives detailing the importance of AI in cybersecurity.
Next, this report details current market research and studies. The top defensive and offensive tools and capabilities are mentioned, along with forecasts and statistics on current and future cyber-AI investments. Finally, two institutions specifically created for the study of cyber-AI are identified. The respective missions, along with current work of these institutions, are also highlighted. What is the state of industry investment in developing products in support of counter‑artificial intelligence (AI) offensive tools and techniques? The objective for the information is to help the inquiring organization determine what types of tools and techniques are currently available, as well as what counter-AI investments are being made and in what areas.
Current U.S. efforts and products are of primary interest. This report summarizes the research findings of the inquiry. Given the limited duration of the research effort, this report is primarily a curated summary of sources and information, analyzed by our researchers, pertaining to counter-AI cyberoffensive tools and techniques. Section 2.1 begins by highlighting research that has already been completed in cyber-AI research to date. Foster brings nearly a decade of cybersecurity experience in offensive security, penetration testing, and AI security research.
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Fighting Back Against Cyberattackers: How to Counter AI with AI
Sam Rubin is Senior Vice President at Palo Alto Networks, leading consulting and threat intelligence for Unit 42. With over 20 years in cybersecurity, he has built and scaled global incident response teams and handled major cyber incidents, including ransomware, supply chain attacks, and state-sponsored threats. Previously, Sam was an executive at The Crypsis Group, helping grow it into a top incident response firm before its acquisition by Palo Alto Networks in 2020. He has testified before Congress on ransomware and AI threats and served as an expert witness in cybersecurity litigation. A recognized thought leader, Sam speaks at industry conferences like GovWare and the Information Security Forum and has contributed to initiatives such as the Ransomware Task Force. His insights have been featured in The Wall Street Journal, Axios, and Bloomberg.
Sam holds a B.A. from Emory University and certifications including CISSP, GCFA, and GCCC.... Cyberattackers are increasingly leveraging artificial intelligence (AI) and machine learning (ML) to execute more advanced and sophisticated threats, amplifying the scale and impact of their attacks. As a result, the perception among many organizations is that they see the scales tipping in favor of the attackers. In fact, a recent Enterprise Strategy Group survey noted a sobering statistic: 76% of organizations believe adversaries benefit the most from generative AI (GenAI), while only 24% think defenders have the upper hand. To change this perception, organizations must adopt a proactive AI-driven defense strategy.
This includes developing an AI-integrated cybersecurity plan and implementing business-aligned tactics to counter the growing AI-powered threats. Understanding and navigating the complexities of AI can be daunting even for seasoned IT professionals, security experts, and data scientists. The constant state of change in AI methodologies, technologies, risks, and requirements means that deeply specialized knowledge is essential to leverage AI’s full potential in cybersecurity. - Completed research on cyber-AI weaponization - Market trends in AI security investments - Institutions leading the charge in cyber-AI defense. A must-read for professionals in cybersecurity, defense, and AI governance. As AI capabilities evolve, so do the threats.
This technical inquiry from CSIAC* explores the current landscape of counter-AI offensive tools and techniques, highlighting how AI is being weaponize and how we can defend against it. A medida que evolucionan las capacidades de la IA, también lo hacen las amenazas. En este informe técnico del CSIAC** se analiza el estado actual de las herramientas y técnicas de contraofensiva, destacando cómo se está utilizando la IA como arma y cómo podemos defendernos de ella. * CSIAC is the Cybersecurity and Information Systems Analysis Center within the United States Department of Defense (DoD). ** CSIAC es el Centro de Análisis de Información de Sistemas de Información y Ciberseguridad, dependiente del Departamento de Defensa de Estados Unidos (DoD). https://lnkd.in/d2ahqkww
The era of AI-driven cyberattacks is here, demonstrated by the recent abuse of an agentic AI tool in a broad espionage campaign. Defense requires a new approach centered on preemptive exposure management, combining reinforced security fundamentals with defining the new AI attack surface and responding to an attack with our own defensive AI. The theoretical discussion around AI-driven cyberattacks — involving automated agents, AI-generated exploits, and virtually undetectable phishing — is now a reality. As AI models continually improve, they are increasingly capable of augmenting attacks, enabling attackers to execute them with a much higher level of sophistication and speed. The most recent example of this concerning trend was Anthropic’s recent disclosure that its Claude Code agentic AI tool was abused by nation-state attackers to launch a broad cyber espionage campaign against about 30... After jailbreaking Claude Code, the attackers used it to automate between 80% and 90% of the cyber espionage campaign, according to Anthropic.
Specifically, the attackers got Claude Code to perform tasks including: Anthropic also noted that Claude Code overstated findings and hallucinated during autonomous operations, a turn of events that ironically helped security efforts by acting as an obstacle for the attackers. Artificial Intelligence (AI) swiftly transforms our digital space, exposing the potential for misuse by threat actors. Offensive or adversarial AI, a subfield of AI, seeks to exploit vulnerabilities in AI systems. Imagine a cyberattack so smart that it can bypass defense faster than we can stop it! Offensive AI can autonomously execute cyberattacks, penetrate defenses, and manipulate data.
MIT Technology Review has shared that 96% of IT and security leaders are now factoring in AI-powered cyber-attacks in their threat matrix. As AI technology keeps advancing, the dangers posed by malicious individuals are also becoming more dynamic. This article aims to help you understand the potential risks associated with offensive AI and the necessary strategies to effectively counter these threats. Offensive AI is a growing concern for global stability. Offensive AI refers to systems tailored to assist or execute harmful activities. A study by DarkTrace reveals a concerning trend: nearly 74% of cybersecurity experts believe that AI threats are now significant issues.
These attacks aren’t just faster and stealthier; they’re capable of strategies beyond human capabilities and transforming the cybersecurity battlefield. The usage of offensive AI can spread disinformation, disrupt political processes, and manipulate public opinion. Additionally, the increasing desire for AI-powered autonomous weapons is worrying because it could result in human rights violations. Establishing guidelines for their responsible use is essential for maintaining global stability and upholding humanitarian values. AI can be used in various cyberattacks to enhance effectiveness and exploit vulnerabilities. Let’s explore offensive AI with some real examples.
This will show how AI is used in cyberattacks. As the strategic importance of AI increases, so too does the importance of defending those AI systems. To understand AI defense, it is necessary to understand AI offense—that is, counter AI. This paper describes counter AI. First, we describe the technologies that compose AI systems (the AI Stack) and how those systems are built in a machine learning operations (MLOps) lifecycle. Second, we describe three kinds of counter-AI attacks across the AI Stack and five threat models detailing when those attacks occur within the MLOps lifecycle.
Finally, based on Software Engineering Institute research and practice in counter AI, we give two recommendations. In the long term, the field should invest in AI engineering research that fosters processes, procedures, and mechanisms that prevent vulnerabilities being introduced into AI systems. In the near term, the field should develop the processes necessary to efficiently respond to and mitigate counter-AI attacks, such as building an AI Security Incident Response Team and extending existing cybersecurity processes like...
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Posted On February 7, 2024 | Completed On June 30,
Posted on February 7, 2024 | Completed on June 30, 2023 | By: Philip Payne, Joseph Matthew Friar, Curtis Smedley The Cybersecurity & Information Systems Information Analysis Center performed open-source research and obtained white papers and reports from numerous sources to include the Defense Technical Information Center Research and Engineering Gateway and Elsevier’s ScienceDirect. Overall, the ...
Next, This Report Details Current Market Research And Studies. The
Next, this report details current market research and studies. The top defensive and offensive tools and capabilities are mentioned, along with forecasts and statistics on current and future cyber-AI investments. Finally, two institutions specifically created for the study of cyber-AI are identified. The respective missions, along with current work of these institutions, are also highlighted. What...
Current U.S. Efforts And Products Are Of Primary Interest. This
Current U.S. efforts and products are of primary interest. This report summarizes the research findings of the inquiry. Given the limited duration of the research effort, this report is primarily a curated summary of sources and information, analyzed by our researchers, pertaining to counter-AI cyberoffensive tools and techniques. Section 2.1 begins by highlighting research that has already been c...
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