World Data Summit’s Post

The software supply chain is under attack. 🚨 With threats like Log4Shell and XZ Utils, it's clear that traditional security measures aren't enough. In this VMblog article, Josh Lemos from GitLab explores the growing risks and how AI can help DevSecOps teams shift security "down" and automate away these threats. https://lnkd.in/g6mYbCpW Key takeaways: ✅ The rise of open-source software supply chain attacks ✅ The importance of data governance and supply chain security ✅ How AI can help automate security and improve developer efficiency #cybersecurity #DevSecOps #AI #supplychainsecurity

Researchers discovered around 20 security flaws across multiple machine learning (ML) toolkits, including Weave, ZenML, and Deep Lake. These vulnerabilities, identified by JFrog, allow attackers to hijack servers, escalate privileges, and compromise ML pipelines and databases. Notable issues include directory traversal, command injection, and improper access control, enabling remote code execution and data exposure. Given the access level of ML pipelines, these flaws pose significant risks for organizational data security. https://lnkd.in/dZbgJc5R

GitHub Advanced Security: Fixing security vulnerabilities with AI > les LLM au service de la correction de vulnérabilités https://buff.ly/3UDp7eY

𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗼𝗳 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗳𝗼𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 - 𝗣𝗮𝗿𝘁 𝟮 𝗼𝗳 𝟰 Continuing my series on Microsoft Copilot for Security, the latest blog dives into the diverse use cases and features that empower organizations to enhance their security posture. 🚀 𝗨𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗹𝗼𝗴𝘀 𝗼𝗻 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗳𝗼𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: • Getting Started with Microsoft Copilot for Security • Costing and Security Compute Units (SCUs) for Microsoft Copilot for Security Read Part 2 to explore how Microsoft Copilot for Security can help you stay ahead of evolving threats and streamline your security operations. 💡 #Cybersecurity #MicrosoftSecurity #AI #TechInnovation #CoPilot https://lnkd.in/gHbpxi32

As the threat landscape continues to evolve, so too must our approach to cybersecurity. Recent research has demonstrated the significant potential of AI and machine learning in enhancing security operations. I feel in today's fast-paced security tools, Chronicle does stand out. So, here is how we can integrate it with LLMs for a better visibility and alert triage: To effectively integrate an LLM for alert triage within Google Chronicle SIEM, you'll primarily need to leverage Chronicle's API capabilities and a suitable LLM API. Here we go: 1. Set up Chronicle API Access: a. Obtain necessary credentials (service account key or OAuth 2.0 client ID and secret) from your Google Cloud Platform project. b. Configure authentication for your chosen programming language (Python, Java, etc.) using libraries like google-auth-library. 2. Retrieve Alerts via API: a. Use the Chronicle Search API to retrieve active alerts. b. Filter alerts based on severity, source, or other relevant criteria. c. Extract key information from each alert, such as: * Alert ID * Description * Severity * Timestamp * Affected resources * Relevant logs or events 3. Prepare Data for LLM Input: a. Structure the extracted alert data into a format suitable for LLM processing, such as JSON or a plain text description. b. Consider adding context to the input, such as: * Recent security trends and threats * Known vulnerabilities and exploits * Historical incident data 4. Send Requests to LLM API: a. Use the LLM API (e.g., Google AI, OpenAI) to send the prepared alert data as a prompt. b. Craft the prompt to guide the LLM's analysis, such as: * "Analyze the following security alert and provide a concise summary, potential root cause, and recommended actions." * "Prioritize this alert based on its severity and potential impact." * "Identify any known vulnerabilities or attack techniques associated with this alert." 5. Process LLM Response: a. Parse the LLM's response to extract: * Summary of the alert * Potential root cause(s) * Recommended actions (e.g., investigation, remediation, notification) * Prioritization level 6. Integrate with Chronicle: a. Update the alert in Chronicle with the LLM-generated insights, such as adding tags, comments, or changing the severity level. b. Trigger automated workflows or notifications based on the LLM's recommendations. c. Consider using Chronicle's automation capabilities to streamline the process. #cloudsecurity #cloudcomputing #SIEM #GoogleCloudPlatform #GoogleChronicle #alerttriage #incidentresponse #automation #devsecops Here is an example code for the same:

It's always a good week when one of your projects makes it into tl;dr sec! 😀 A big thank you to Clint Gibler for featuring STRIDE GPT, and to everyone who has supported the development of the project. Your encouragement and feedback have been invaluable. Check out the newsletter below to learn more about STRIDE GPT, along with lots more security projects and research. #Cybersecurity #GenerativeAI

🔒 Strengthen Your Web Application Security with OWASP Expert AI from Wise Duck Dev GPTs! 🛡️ In today’s digital landscape, security is non-negotiable. Whether you're building a new application or maintaining an existing one, keeping it secure is crucial. That’s where OWASP Expert AI comes in—your go-to tool for mastering web application security and protecting your projects from vulnerabilities. Why OWASP? The OWASP (Open Web Application Security Project) is a globally recognized framework for web security, providing best practices and guidelines to safeguard applications against the most common and dangerous vulnerabilities. With OWASP Expert AI, you get expert-level guidance on implementing these security measures effectively. Key Features of OWASP Expert AI: 🔐 Vulnerability Identification: Automatically detect common security vulnerabilities such as SQL injection, XSS, and more. ⚙️ Security Best Practices: Receive guidance on implementing the OWASP Top 10 security controls to fortify your application. 🛠️ esting & Debugging: Streamline your security testing processes and resolve potential issues before they become threats. 🌐 Continuous Protection: Ensure your web apps are always protected with regular updates on new security practices and emerging threats. Why Use OWASP Expert AI? OWASP Expert AI equips you with everything you need to build secure applications and protect your users. Whether you’re a developer, a DevOps engineer, or a security enthusiast, this tool offers: - Real-time insights into how to detect and prevent vulnerabilities. - Best practices for secure coding and application deployment. - Help you to assess the security state of your project. - Continuous monitoring and guidance on the latest threats in web security. Building secure web applications is no longer a challenge with OWASP Expert AI by your side. Empower your development process with actionable, expert-level security insights to protect your code and your users. 📣 Secure Your Applications Now! Start leveraging OWASP Expert AI today and ensure your web apps are secure from day one 👉 https://lnkd.in/d9gshufn #WiseDuckDevGPTs #GPTS #OWASP #WebSecurity #Cybersecurity #ApplicationSecurity #DevOps #TechInnovation #DevCommunity #SecureDevelopment

Why is real-time scanning of APIs for security vulnerabilities so critical? 🤔 Faster Detection and Patching 🚀 Catching Zero-Day Exploits 🛡️ Continuous Integration with Development 🛠️ Improved Response to Dynamic Threats 🌐 Read all about it in Salt Security’s blog → https://gag.gl/wwSJCc? #cybersecurity #apis #apisecurity #apiprotection

After presenting BOLABuster in Security BSides Las Vegas, DEF CON AppSec Village and #AIVillage, we're excited to release the final blog post! 🎊 "Harnessing LLMs for Automating BOLA Detection" explains how we used AI to solve a problem no one has solved before - Automating the detection of #BOLA Vulnerabilities at scale! In this final blog, we dive into: 🔍 Our motivation for pursuing this cutting-edge research 🧩 The challenges we overcame along the way ⚙️ How our innovative methodology works 🚨 The critical vulnerabilities we've uncovered so far I would like to thank my partner Jay Chen and Aviv Sasson Ory Segal for making this happen! Let’s push the boundaries of what’s possible 🤖

Are you using LangChain for your Gen AI applications? This might be of interest to you. 🔍 Palo Alto Networks researchers have uncovered two critical vulnerabilities in LangChain, a popular open-source generative AI framework. These vulnerabilities (CVE-2023-46229 and CVE-2023-44467) could allow attackers to execute arbitrary code and access sensitive data. LangChain has issued patches to resolve these issues. Palo Alto Networks also offers solutions to protect against such threats, ensuring your AI applications remain secure. 🔧 **Action Steps:** ➡ Update your LangChain to the latest version to patch these vulnerabilities. ➡ Explore Palo Alto Networks' security solutions for comprehensive protection. 🔗 https://lnkd.in/dUE5ij6V #AI 🔍 #CyberSecurity 🔒 #LangChain 🧠 #GenAI 🤖 #Innovation