AI Showdown - The Good, The Glitchy, and The Risky
Evaluating top AI frameworks for CI/CD integration, focusing on accuracy, security, coding practices, and compliance with emerging standards and legislation.
Performance and Scale: Domain-Oriented Objects vs Tabular Data Structures - Fintech Applications
Explore efficient data handling in Fintech: comparing domain-oriented objects vs tabular structures for high-performance CSV processing, focusing on scalability and advanced data processing capabilities.
Securing AI Apps with the OWASP Top Ten for Large Language Models
Explore strategies to mitigate risks in generative AI using OWASP Top 10 for LLMs. Learn best practices for building secure and responsible AI applications in your environment.
Navigating the AI Frontier - The Role of the CISO in GenAI Governance
Discover how CISOs can lead AI governance, balancing risk management and innovation. Learn to integrate AI safeguards, ensure data integrity, and foster responsible practices with a comprehensive framework and roadmap.
Controlling a Data Footprint - How to Build a Data Disposition Framework
Learn to build a data disposition framework to determine optimal data storage duration and methods for protecting, altering, or destroying information to meet organizational requirements.
AI: Law, Policy, and Common Sense Suggestions to Stay Out of Trouble
Explore legal, ethical, and policy considerations for AI implementation, focusing on governance structures and benchmarks to maximize success and minimize risks across industries.
Beyond Labels: Evolving Data Classification
Explore advanced data classification strategies balancing security, privacy, and business needs. Learn to create flexible programs that meet departmental demands while ensuring compliance and protection.
Securing Azure OpenAI Apps in the Enterprise
Explore core security controls for Azure OpenAI in enterprises. Learn available measures, identify gaps, assess effectiveness, and implement robust protection strategies.
Navigating Turbulent Waters of AI - Building a Secure and Safe Foundation
Explore the challenges of integrating generative AI in software development while maintaining security. Learn strategies for building a secure foundation and safeguarding against emerging threats in this rapidly evolving landscape.
The Top 10 List of Istio Security Risks and Mitigation Strategies
Explore CNCF's Top 10 Istio security risks and learn effective mitigation strategies to protect cloud-native applications from threats, data breaches, and security incidents.
Socio-Technical Smells - How Technical Problems Cause Organizational Friction
Explore behavioral code analysis to identify and mitigate socio-technical issues, improving team coordination, reducing dependencies, and enhancing software development efficiency.
Securing AI - What We've Learned and What Comes Next
Explore AI's evolution, its impact on cybersecurity, and strategies for safe implementation. Gain insights on mitigating risks and maximizing benefits of this transformative technology.
Safe Upgrades: From Tombstones to Recommendations
Explore OpenShift's Conditional Updates, enhancing cluster protection by evaluating potential issues and empowering administrators with informed upgrade decisions.
Securing AI and LLM-based Applications: Best Practices
Explore security challenges in AI and LLM applications, learn attack scenarios, and discover best practices for mitigating risks and maintaining application integrity.
Designing AI for Trust - Creating Value While Setting the Right Guardrails
Explore best practices for designing and deploying trusted AI solutions in critical sectors, focusing on human adoption, business alignment, risk management, and data curation challenges.
Machine Learning for Real-Time Hydrate Risk in LNG Facilities
Explore advanced neural networks in Wolfram Language for real-time hydrate risk monitoring in LNG facilities using simulation-based data.
Oil and Gas Use Cases in Machine Learning
Explore machine learning applications in the oil and gas industry, focusing on practical use cases and innovative solutions for industry challenges.
With Great Power Comes Great Responsibility - Engineering Ethics in the Modern Era
Explore the critical shift in software engineering towards failure-safe systems and learn how leaders can drive this change in the profession.
How to Make Better Modernization Decisions
Discover effective methods for system modernization, including Service Blueprints and Wardley Mapping. Learn to assess pain points, risks, and incrementally improve existing systems.
Taking the Risk Out of Software Experimentation: Balancing Innovation and Code Quality
Explore balancing experimentation and code quality in software development, leveraging SDLC practices to manage risk and reduce technical debt.
Measuring Configuration in Code - Risk Assessment and Metrics
Explore techniques for assessing configuration impact on code, including propagating complexity metrics and test coverage to configuration level, to mitigate outage risks and improve system reliability.