Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Automated Vulnerability Management Automated vulnerability management is a key practice in DevSecOps. It involves using automated tools to identify, prioritize, and remediate vulnerabilities in an organization’s systems and applications. Automated vulnerability management includes the following activities: Shift-Left Testing Shift-left testing […]
Read more →Category: Technology Engineering
Technology Engineering
LLM Monitoring and Observability: Metrics, Traces, and Alerts
Introduction: LLM applications are notoriously difficult to debug. Unlike traditional software where errors are obvious, LLM issues manifest as subtle quality degradation, unexpected costs, or slow responses. Proper observability is essential for production LLM systems. This guide covers monitoring strategies: tracking latency, tokens, and costs; implementing distributed tracing for complex chains; structured logging for debugging; […]
Read more →LLM Security Best Practices: Protecting AI Applications from Attacks
Introduction: LLM applications face unique security challenges. Prompt injection attacks can hijack model behavior, sensitive data can leak through responses, and malicious outputs can harm users. Traditional security measures don’t fully address these risks—you need LLM-specific defenses. This guide covers practical security strategies: validating and sanitizing inputs, detecting prompt injection attempts, filtering sensitive information from […]
Read more →DevSecOps: Integrating Security into DevOps – Part 8
Continuing from our previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Continuous Compliance Continuous compliance is a practice that involves integrating compliance requirements into the software development lifecycle. By doing so, organizations can ensure that their software complies with regulatory requirements and internal security policies. Continuous compliance includes the following activities: […]
Read more →LLM Output Validation: Ensuring Reliable Structured Data from Language Models
Introduction: LLMs generate text, but applications need structured, reliable data. The gap between free-form text and validated output is where many LLM applications fail. Output validation ensures LLM responses meet your application’s requirements—correct schema, valid values, appropriate content, and consistent format. This guide covers practical validation techniques: schema validation with Pydantic, semantic validation for content […]
Read more →DecSecOps: Integrating Security into DevOps – Part 9 – The Final – Application Security and Immutable Infrastructure for DevSecOps
This is a final series to conclude and summarize the key topics covered in previous 8 blogs: DevSecOps is an approach to software development that emphasizes integrating security into every stage of the software development lifecycle. Application security and immutable infrastructure are two key practices that can help organizations achieve this goal. Application Security Application […]
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