Sorcha Redmond’s Post

No modeling system is useful without continuous learning and regular (re)calibration. Models must be refined over time with data and training to produce higher-fidelity results. For #cyberrisk quantification, we also must account for the constantly changing nature of #cyberthreats that trigger risks, the rapidly evolving and varied digital technologies that are deployed, and the scarcity of historical data. DeNexus’ Romy Rodriguez-Ravines Ph.D. details in recent post: https://shorturl.at/s9lHM #CRQM #cybersecurity

🌐 #Cybersecurity Enhanced with #DataQuality and #SyntheticData 🌐 We're thrilled to share how 이글루코퍼레이션 (IGLOO Corporation), a leader in #InformationSecurity, leveraged YData Fabric to tackle #DataScarcity and improve #CyberThreat #detection. Key highlights: ✅ 98.83% precision in identifying cyber threats. ✅ Detection of 27 attack types, even with limited real-world representation. ✅ 99% true positives, boosting reliability and reducing incident costs. By employing synthetic data and a #datacentric approach, #IGLOO built a robust #ML model that enhanced threat detection capabilities, creating a scalable and efficient system. Explore how data quality, #profiling, and #augmentation transformed cybersecurity solutions! 🔗 Read the full case study: https://lnkd.in/epCvzETX

In the era of #AI and #Cybersecurity, the winners are the ones who combine both! Props to 이글루코퍼레이션 (IGLOO Corporation) for innovating in the #AI field while keeping their customers safe and protected.

DataScience CyberSecurity: 0008 🔰Enhancing Cybersecurity Through Advanced Data Preprocessing🔰🔐 In the field of cybersecurity, high-quality data is crucial for effective threat detection and response. Noisy datasets—comprising redundant logs, inconsistent timestamps, and imbalanced classes—can undermine the performance of machine learning models. Leveraging advanced techniques such as dimensionality reduction (PCA), class balancing (SMOTE), and feature engineering can significantly improve the accuracy and efficiency of intrusion detection systems. Effective data preprocessing minimizes noise, enhances model performance, and enables faster, more reliable threat detection. 🔗Dive into the full article here: https://lnkd.in/d3zz2JU4 #Cybersecurity #DataPreprocessing #MachineLearning #IntrusionDetection #DataScience #BeyondBeacon #WeAreTheBeacons

Day 3 of National Cybersecurity Awareness Month, led by Cybersecurity and Infrastructure Security Agency and the National Cybersecurity Alliance (NCA). Our Head of Security & GRC Engineering, Gopi Ramamoorthy reminds us of California's new law (AB-2013), effective Jan 1, 2026, requiring businesses to disclose the sources of AI training data used since Jan 1, 2022. His advice for any organization training AI on their own datasets? 🤖 Are you tracking all data assets involved in AI training? 🤖 Do you know the sources of those data sets? 🤖 Are you regularly updating and publishing your training data inventory? Stay ahead and start your AI data transparency today! 📢 Throughout #NationalCybersecurityAwarenessMonth, the Symmetry Systems team will be sharing great tips and info all month long! Stay tuned and Stay cyber safe!

In the dynamic field of cybersecurity, open-source LLMs are gaining traction as effective tools for addressing new threats. These flexible models can process large datasets to uncover patterns and anomalies that conventional security measures may overlook. By utilizing community-driven development, security teams can customize these models to fit their unique requirements, helping them keep pace with evolving attack vectors. From threat intelligence analysis to automated incident response, open-source LLMs present a versatile option for organizations aiming to safeguard their digital assets in a complex threat landscape. How do you see the role of open-source technology evolving in cybersecurity? What challenges might organizations face when implementing these models? Read more 👉https://lnkd.in/gtYSng2h #AI #OpenSource #LLM #Technology #MachineLearning #Cybersecurity #TechTrends #DeepLearning #Algorithm #Automation #DataScience #Innovation #SHAVIK #Australia Visit www.SHAVIK.ai

Don't miss the must-attend session on the "OWASP Top 10 for Large Language Models" at the Planet Cyber Sec AppSec SoCal conference. Led by Steve Wilson, this talk will uncover the emerging risks that generative AI and Large Language Models (LLMs) introduce to modern application ecosystems. Attendees will dive into the OWASP Top 10 for LLMs - the definitive guide to mitigating LLM-related vulnerabilities. They will gain insights on securing generative AI applications and recognizing the nuances of LLM risks. Additionally, the session will provide practical strategies to deploy effective defenses and foster a culture of responsible AI development. As the use of LLMs continues to proliferate, understanding and addressing these new security challenges is crucial. This session is a must-attend for developers, security professionals, and anyone invested in the future of AI-powered applications. Register now to stay ahead of the curve. https://lnkd.in/gbiAaarv #PlanetCyberSec #AppSecSoCal #AppSec #CyberSecurity #infosec #AI #cyberwarfare #CyberAttack #cyberdefense #ciso #cio #OWASPTOP10LLM #AISecurityRisks

In the dynamic field of cybersecurity, open-source LLMs are gaining traction as effective tools for addressing new threats. These flexible models can process large datasets to uncover patterns and anomalies that conventional security measures may overlook. By utilizing community-driven development, security teams can customize these models to fit their unique requirements, helping them keep pace with evolving attack vectors. From threat intelligence analysis to automated incident response, open-source LLMs present a versatile option for organizations aiming to safeguard their digital assets in a complex threat landscape. How do you see the role of open-source technology evolving in cybersecurity? What challenges might organizations face when implementing these models? Read more 👉https://lnkd.in/gCxHFkdT #AI #OpenSource #LLM #Technology #MachineLearning #Cybersecurity #TechTrends #DeepLearning #Algorithm #Automation #DataScience #Innovation #SHAVIK #Australia Visit www.SHAVIK.ai

🚨 Unlocking the Power #GenerativeAI #DarkWeb Investigations 📌 The dark web poses a significant threat to global security, with its anonymous nature and encryption making it a haven for criminal activities. However, Generative Artificial Intelligence (GenAI) is emerging as a game-changer in dark web investigations and forensics. 📌 In our latest article, we explore the potential benefits and challenges of using GenAI in dark web investigations, including: 📍 Analyzing vast amounts of data to identify patterns and anomalies 📍 Generating synthetic data to detect and deceive dark web actors 📍 Predicting dark web trends and identifying potential threats But, we also acknowledge the limitations and challenges associated with GenAI, including data quality, evolving threats, explainability, bias, and regulatory frameworks. 🔔 Stay connected for industry’s latest content – Follow Dr. Anil Lamba, CISSP, 💥Vice President - Global Tech Audits, JPMorgan💥 #linkedin #teamamex #JPMorganChase #cybersecurity, #technologycontrols, #infosec, #informationsecurity, #GenAi #linkedintopvoices, #cybersecurityawareness #innovation #techindustry #cyber #birminghamtech #cybersecurity #fintech #careerintech #handsworth #communitysupport #womenintech #technology #security #cloud #infosec #riskassessment #informationsecurity #auditmanagement #informationprotection #securityaudit #cyberrisks #cybersecurity #security #cloudsecurity #trends #grc #leadership #socialmedia #digitization #cyberrisk #education #Hacking #privacy #datasecurity #passwordmanagement #identitytheft #phishingemails #holidayseason #bankfraud #personalinformation #creditfraud

🚀 New article alert! Check our latest publication: "Innovations in Energy Logserver: Version 7.4.3 and Integration with Mitre ATT&CK." The article dives deep into the latest advancements in one of the leading tools for log management and security monitoring. 💥 Key Highlights: ✔ Enhanced query management: Tools to manage and halt long-running queries. ✔ Network Probe: A crucial new system component for comprehensive data collection and analysis. ✔ Advanced AI: Upgrades in AI algorithms. ✔ Archive security: New checksum verification to ensure archive integrity. ✔ Simplified licensing: Improved license management. 💥Mitre ATT&CK Integration: ✔ SIEM rules mapping: Direct mapping of incidents to Mitre ATT&CK matrix, improving attack identification and analysis. ✔ Comprehensive coverage: Extensive rules set covering 90 unique techniques to fortify defenses against cyber threats. 🔗 Read the full article on our website to understand how these innovations can transform your IT security operations: ENG: https://lnkd.in/dmWkegJk CZK: https://lnkd.in/duPPCSvU #EnergyLogserver #CyberSecurity #MitreATTACK #BAKOTECH #ITSecurity