When AI gets outsmarted: A $47,000 lesson in prompt security On November 22nd, a hacker outmaneuvered the Freysa AI chatbot, pocketing $47,000 through a cleverly crafted prompt injection. Freysa was programmed with one clear rule: do not transfer money under any circumstance. Yet, the hacker bypassed this safeguard by impersonating an administrator, disabling warnings, and manipulating a payment function to trigger the transfer of 13.19 ETH (~$47,000). This event highlights a crucial vulnerability in AI systems: prompt injections. Even advanced AI agents can be tricked into breaking their own rules with cleverly phrased inputs. The implications? • Security protocols in AI need more robust testing and safeguards. • We must rethink how trust and permissions are handled in AI interactions. As AI becomes a bigger part of our lives, incidents like this remind us that security can’t be an afterthought. It’s a challenge—and an opportunity—for developers and researchers to strengthen AI defenses. For more details, check out Jarrod Watts’ thread: https://lnkd.in/dTMMWfRT What’s your take? How do we strike a balance between AI innovation and security? Let’s discuss. #AI #CyberSecurity #PromptEngineering #EthicsInAI
Sudip Kandel’s Post
More Relevant Posts
-
🔒🤖💻 Are you aware of the emerging threat in the realm of AI - "Prompt Injection Attacks"? This is a crafty strategy where cybercriminals manipulate large language models (LLMs) or chatbots, leading them to carry out unauthorized actions, potentially jeopardizing sensitive data and operations. Prompt Injection Attacks emerge in three primary forms: 1️⃣ Prompt Hijacking: Misdirecting the LLM's focus by interjecting a new command. 2️⃣ Prompt Leakage: Tricking LLMs to disclose original developer instructions. 3️⃣ Jailbreaks: Circumventing governance features to generate restricted content. But here's the good news - we can safeguard our tech! Here's how: ✅ Input validation to check for malicious content ✅ User authentication to prevent unauthorized access ✅ Regular model curation to minimize known vulnerabilities ✅ Techniques like paraphrasing and re-tokenization to alter prompts and improve recognition of malicious inputs. With vigilant governance, we can continue to harness the power of Generative AI and LLMs while ensuring brand protection, factual integrity, and data loss prevention. Stay Safe, Stay Updated! 💼🔒🌐 #CyberSecurity #AI #PromptInjection #StaySafe #LLM #GENAI
To view or add a comment, sign in
-
AI is a double-edged sword. While platforms like ChatGPT make life easier by creating content, scheduling meetings, and more, AI systems are incredibly vulnerable. According to Hidden Layer's AI Threat Landscape Report 2024, 77% of US businesses faced AI security breaches last year. Even with 97% of IT leaders in the US prioritising AI security and 94% having budgets for it, only 61% feel confident in their defences. With massive amounts of data at risk, protecting AI systems is crucial. Strengthen AI security by integrating AI and security teams, regularly auditing models, and understanding model origins. AI can revolutionise business, but only if it's secure! Read more in this article >> https://bit.ly/3yTGrDy * All statistics and reports from the above article. * AI Threat Report 2024 >> https://bit.ly/3VbOraH #ColtellaIT #AI #CyberSecurity #TechNews #ITSupport
To view or add a comment, sign in
-
🚨 𝗖𝘆𝗯𝗲𝗿 𝗧𝗵𝗿𝗲𝗮𝘁𝘀 𝗶𝗻 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 (𝗫𝗔𝗜) 🚨 What is XAI ? Explainable AI (XAI) aims to make AI decisions transparent and understandable to users. It provides insights into the decision-making process of AI models, helping users to trust and manage AI-driven outcomes. By offering clear and actionable explanations, XAI addresses the "black box" nature of traditional AI, enhancing accountability and compliance. As we advance AI technologies, Explainable AI (XAI) has become crucial for building trust and transparency in AI decision-making. However, XAI systems also face significant cyber threats that we need to address: 🔍 Model Inversion Attacks: Exploit explanations to infer sensitive information about training data, posing privacy risks. ⚔️ Adversarial Attacks: Use crafted inputs to deceive AI models, manipulating decisions through XAI transparency. 💉 Data Poisoning: Introduce malicious data into training sets, compromising model integrity and trustworthiness. 🔄 Model Extraction: Reverse-engineer AI models by analyzing explanations, leading to intellectual property theft and unauthorized use. 💻 Explainability Overhead: Increased computational demand for explanations can introduce performance vulnerabilities. ⚖️ Regulatory Risks: Non-compliance with transparency and fairness regulations can result in legal consequences. Mitigation Strategies: - Enhance security with encryption and access controls. - Implement robust data handling and adversarial training. - Use privacy-preserving techniques and continuous monitoring. - Ensure compliance with evolving legal standards. Looking forward to hearing your thoughts and experiences with XAI and cyber threats! 👇😊 #CyberSecurity #ArtificialIntelligence #ExplainableAI #XAI #ModelInversionAttacks #DataPrivacy #EthicalAI #AIEthics #TechInnovation #DataSecurity #AIApplications #ResponsibleAI #MachineLearningSecurity #AITechTrends #CyberThreats #PrivacyMatters
To view or add a comment, sign in
-
Recent research has uncovered vulnerabilities in several open-source AI and machine learning models, including ChatGPT, Lunary, and LocalAI. These flaws could lead to remote code execution and unauthorized data access, posing significant risks to organizations utilizing these tools. This serves as an important reminder of the necessity of rigorous security assessments and realtime monitoring when integrating AI and ML models into our systems. Ensuring that these technologies are secure is essential to maintaining the integrity and confidentiality of our data. Read more about these findings here: https://lnkd.in/d7Nj8zZg #Cybersecurity #AI #MachineLearning
To view or add a comment, sign in
-
Today's situation involving CrowdStrike sheds light on a concerning future scenario related to AI. The thought of an AI system responsible for critical decisions failing due to a simple update requirement or biased algorithms is alarming. This situation emphasizes the urgent need for resilient, secure, and impartial AI systems, especially as their roles in society become more vital. Ensuring the fairness and reliability of these systems isn't just a technical matter; it's a moral obligation. Moving forward, let's focus on developing AI that we can rely on to act in the best interests of everyone. #CyberSecurity #AI #EthicalAI #Technology #FutureConcerns
To view or add a comment, sign in
-
Under the "AI Regulation" stream by the European Data Compliance Network EUDCN. #ai #aiact #aigovernance #future #knowledgesharing #eudcn
CISM, CIPP/E, CDPSE, LA 27001 | Advisor and Mentor | I create toolkits for cybersecurity and privacy professionals to meet compliance requirements (ISO 27001, NIS2, EU DORA, NIST CSF, GDPR, ISO 27701)
Valuable links about AI risks: 1. 4 AI coding risks and how to address them (Snuk) - https://lnkd.in/djG3pEPM 2. Forrester: Securing Generative AI - https://lnkd.in/dJXx_sXr 3. The 15 Biggest Risks Of Artificial Intelligence (Forbes) - https://lnkd.in/d2MqXdZQ 4. These are the 3 biggest emerging risks the world is facing (WEF) - https://lnkd.in/dzT2862s 5. 3 AI Risks and Trustworthiness (NIST) - https://lnkd.in/dGSGGmUZ 6. AI and cyber security: what you need to know (NCSC UK) - https://lnkd.in/d6n--FQa Guidelines for secure AI system development - https://lnkd.in/d8-akyyd Machine learning principles - https://lnkd.in/dkHiVvPZ 7. AI risk atlas (IBM) - https://lnkd.in/dC_WEYFQ 8. The Promise and Peril of the AI Revolution: Managing Risk (ISACA) - https://lnkd.in/dupZ5P2U 9. AI Security Risks and Threats (Check Point) - https://lnkd.in/dpGAQ3RX 10. Generative AI and the EUDPR. First EDPS Orientations for ensuring data protection compliance when using Generative AI systems (EDPS) - https://lnkd.in/dCB_fHzU #ai #chatgpt #risk #grc #cybersecurity
To view or add a comment, sign in
-
The digital era has entered a new phase with Artificial Intelligence (AI) at the helm. AI is revolutionizing #government #operations and service delivery, enhancing efficiency, reducing costs, and improving service quality. As AI's capabilities evolve, its role in government functions expands through advanced computing and machine learning. Despite ethical concerns, regulatory frameworks ensure its ethical deployment. Governments worldwide, particularly in the U.S., leverage AI for process optimization, decision-making, and cybersecurity, promising even more innovations for the future. #AI #DigitalTransformation #GovernmentInnovation #Efficiency #Cybersecurity #Revolutionizing #Publicservices #HHS #Frauddetection https://lnkd.in/eJDWS4WW If you missed Part I and II, you can read them here https://lnkd.in/eKEMeahW https://lnkd.in/eY5tj7rh
To view or add a comment, sign in
-
Staying informed about the latest #AI security solutions and best practices is critical in remaining a step ahead of increasingly clever #cyberattacks. Read more from Qualys' Dilip Bachwani in Dark Reading. https://lnkd.in/gtXqBPZ6
To view or add a comment, sign in
-
🌐 The rapid rise of Generative AI is a double-edged sword, unlocking tremendous potential while also posing significant threats. As we embrace AI's capabilities—from creative content to personalized solutions—we must not overlook the lurking dangers that could undermine our security and trust. 🚨 Key threats include: 1️⃣ Misinformation: Sophisticated models can spread misinformation, manipulating public perceptions and inciting unrest. We must remain vigilant against "Deepfake News." 2️⃣ Cybersecurity Vulnerabilities: From prompt injection attacks to model poisoning, generative AI systems are prime targets for exploitation. 3️⃣ Data Privacy: The mishandling of personal data poses serious privacy risks, necessitating stronger protocols to protect user information. 4️⃣ Ethical Concerns: With a rise of human-like bots, the challenge of maintaining authenticity and consumer trust is more vital than ever. To navigate this evolving landscape, we can leverage frameworks like ATLAS, fostering collaboration and sharing best practices. Let's prioritize security and ethics in AI development. Together, we can harness the power of Generative AI while safeguarding our future! 🤖🔒 #GenerativeAI #Cybersecurity #Misinformation #AIethics #ATLAS
To view or add a comment, sign in
-
In today’s rapidly evolving digital age, artificial intelligence can either be a force for good or bad. Businesses can responsibly leverage AI to drive positive outcomes like optimizing operations, personalizing the customer experience, and enhancing data-driven decision-making. However, when in the wrong hands, AI can be weaponized to launch sophisticated cyberattacks, create deepfakes, and spread misinformation. If you’re ready to join the movement for the ethical use of AI, hit the “like” button. Call us today on 1300 553 559 or https://lnkd.in/geqRv7sN #AI #ArtificialIntelligence #EthicalAI #ResponsibleAI #Cybersecurity #Deepfakes #Misinformation #DataDriven #CustomerExperience #OptimizedOperations #DigitalTransformation #MSP #ManagedServices #LOOKUP #BusinessSolutions #TechForGood #AIethics #Innovation
To view or add a comment, sign in