Siglabs Blog
Expert insights on cybersecurity, AI-driven security solutions, and DevSecOps best practices
Latest Articles
AI-Assisted Fuzzing in 2026: From Coverage Guidance to Target Generation
Coverage-guided fuzzing industrialized bug hunting; large language models are now attacking its remaining bottlenecks. A research roundup covering OSS-Fuzz, LLM-generated harnesses, directed fuzzing, and triage automation—and what it all means for AppSec teams.
eBPF Runtime Security: A Research Roundup for Defenders
eBPF has turned the Linux kernel into a programmable security sensor. We review the state of eBPF-based detection—Falco, Tetragon, and friends—why it outperforms ptrace-era approaches, how it catches container escapes, and where the verifier draws hard limits.
Securing the Model Context Protocol: What a Year of Agentic Integrations Taught Us
MCP made it easy to wire AI agents into tools and data—and inherited a set of security problems the industry is still working through. A research-grounded look at tool poisoning, confused-deputy risks, prompt injection, and the hardening patterns that hold up in production.
Agentic AI Security: New Risks and Mitigation Strategies for 2026
As AI agents become more autonomous, they introduce novel security challenges. Explore the risks of agentic AI systems and learn practical strategies for securing AI-powered automation in enterprise environments.
Post-Quantum Cryptography: A Practical Migration Guide
With quantum computing advancing rapidly, organizations must prepare for the cryptographic transition. Learn how to inventory your cryptographic assets and plan a phased migration to quantum-resistant algorithms.
LLM Red Teaming: Advanced Techniques for Testing AI Systems
Master the art of red teaming large language models. From jailbreaking attempts to data extraction attacks, learn systematic approaches for identifying vulnerabilities in AI-powered applications.
Kubernetes Security in 2026: Beyond the Basics
Container orchestration security has evolved significantly. Explore advanced Kubernetes security patterns including eBPF-based monitoring, service mesh zero trust, and AI-powered workload protection.
The Future of Threat Detection: How AI is Revolutionizing Cybersecurity
Explore how machine learning algorithms and AI-driven systems are transforming threat detection, reducing response times from hours to milliseconds, and identifying zero-day vulnerabilities before they can be exploited.
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