랜섬웨어 관련 보안 위협 및 대응방안 - 2022
Discover comprehensive insights into ransomware security threats, attack groups, and defense strategies through real-world cases and expert analysis from SK Shields' top security researcher.
Telco Data를 활용한 가명결합과 교통데이터 사업 소개
Discover SKT의 혁신적인 데이터 활용 방안과 가명결합 기술을 통한 교통 분석 서비스 및 텔레콤 데이터의 새로운 응용 사례를 통해 데이터 기반 비즈니스의 미래를 탐구합니다.
EDR 솔루션 기반 Managed Detection and Response 서비스 소개
Discover how MDR services enhance security threat detection and response through EDR solutions, featuring implementation cases and expert insights for efficient security management.
정보보안인증: 체계 수립에서 인증까지 그리고 그 다음 단계
Discover how to establish, maintain, and evolve information security certification systems like ISMS and ISO27001, with practical insights on achieving sustainable security management and internalization.
마이데이터 기반의 AI 금융 비서 - Private LLM과 보안 아키텍처
Explore SKT's innovative AI financial assistant service architecture, featuring Private LLM, LangChain, and Vector search technologies, with insights on securing sensitive MyData information.
ChatGPT and Cybersecurity - Will AI Replace Security Experts?
Explore SK쉴더스 EQST의 생성형 AI 해킹 위협 연구 결과와 사이버보안 분야에서의 ChatGPT 활용 가능성 및 한계점에 대한 전문가의 심층 분석과 통찰.
Text-to-Graph with Large Generative Graph Models
Explore cutting-edge research on large generative graph models and their applications in biomedicine and cybersecurity through diffusion-based technology and text-to-graph conversion.
Protecting RAG Systems from Generative AI Worms - AI Cybersecurity Threats and Countermeasures
Explore the emerging threat of GenAI Worms, their impact on RAG and LLM systems, and learn essential cybersecurity countermeasures to protect AI infrastructure.
Securing AI Workflows - Top 5 Actions for Organizations
Discover essential security controls for AI workflows, focusing on practical threat mitigation strategies and real-world implementation based on Google's SAIF framework.
Techniques for Data Minimization in AI: Understanding Implementation and Trade-offs
Discover practical approaches to data minimization in AI development, from regulatory requirements to implementation strategies and understanding potential trade-offs in utility and compliance.
The Uncontrollable Complexity of AI - Lessons Learned from the World's Largest AI Red Team
Explore critical insights from Gandalf AI red teaming exercises, examining security vulnerabilities in large language models and discovering effective mitigation strategies for enterprise AI applications.
Revolutionizing the SOC Using AI - Empowering Security Operations Against Modern Threats
Discover how AI transforms Security Operations Centers (SOCs), empowering cybersecurity teams with innovative tools and strategies to effectively combat modern security threats.
AI for Cybersecurity - Understanding Today's Landscape
Explore how Generative AI transforms cybersecurity through real-world examples of AI-driven attacks and defensive strategies, based on Google's frontline experience.
Trojan Model Hubs - Hacking the ML Supply Chain and Defending Against Security Threats
Discover essential security strategies for ML model hubs, focusing on detecting Model Serialization Attacks and implementing cryptographic signing to protect against compromised artifacts and system vulnerabilities.
Technology and the 4 Vs - A Story of Cybersecurity Innovation and Ethics
Explore the intersection of cybersecurity, AI, and ethical innovation as CISA Director Jen Easterly examines how technology narratives shape our collective digital future and security landscape.
Anti-Money Laundering ML Modeling Approach in Banking
Discover how Raiffeisen Bank leverages machine learning to identify risky customers and prevent money laundering while maintaining data privacy in banking operations.
Face Spoofing Detection: Theory and Practice
Explore face spoofing detection methods from foundational approaches to modern implementations, covering theoretical frameworks and practical applications in security and authentication systems.
AI-Driven Solutions for Text Anonymization - Implementing Machine Learning for Data Privacy
Explore AI-driven text anonymization techniques, from data labeling and NLP model training to implementing MLOps principles and human-in-the-loop processes for enhanced data privacy protection.
Boosting Cybersecurity Awareness with Transformer Models for Threat-Informed Defense
Discover how transformer models and semantic search enhance cybersecurity by linking vulnerabilities to adversarial tactics, enabling better threat detection and proactive defense measures.
Ethical Considerations in Predictive Analytics - Data Privacy, Bias Mitigation, and Accountability
Explore essential ethical dimensions of predictive analytics, focusing on data privacy protection, bias elimination strategies, and building transparent accountability frameworks.
Applying AI for Threat Detection in the World of Cybersecurity
Discover how AI and machine learning techniques enhance cybersecurity through advanced threat detection, anomaly identification, and behavioral analysis for stronger security systems.