BLOG & INSIGHTS
Decisions behind better software: project scope, AI integration, security, cloud operations and the practical details that change delivery costs.
447 articles found
Attackers now deploy Velociraptor, an open-source DFIR tool, as covert remote access and ransomware staging. Learn how Velociraptor abuse works, the artifacts and detections that expose a rogue server, and how to harden a legitimate deployment.
Fileless malware runs in RAM and barely touches disk. This 2026 field guide to memory forensics covers acquisition tools, what evidence lives only in memory, and a fast triage workflow to catch in-memory malware.
Threat hunting with VQL turns every endpoint into a queryable data source. These Velociraptor hunt patterns surface in-memory injection, stealthy persistence, LOLBin abuse, and beaconing, and show what each query actually catches.
A side-by-side cloud incident response guide for AWS, Azure and GCP: where on-prem playbooks break, which cloud-native evidence sources to collect first, and per-provider containment and forensics notes.
A scored, 30-point ransomware readiness assessment your team can self-run across identity, backups, detection, hardening and governance, with a scoring band that tells you exactly what to fix first.
As AI agents write more code, the durable asset is intent, not implementation. Spec-driven development makes a versioned, executable specification the source of truth your team and agents build from, and stops vibe-coding drift.
Most internal developer platforms become shelfware because they are mandated, not chosen. Here is why adoption fails, how to build golden paths developers actually pick, and how to wire AI in with governance instead of shadow risk.
Multi-AZ protects one region from a single data-center fault; it does not survive losing the region. After the 2026 hyperscaler outages, here is how to design real multi-region failover, set honest RTO/RPO, and replicate the data layer.
MCP servers let autonomous models call your tools and touch your data, combining classic appsec risks with LLM-specific ones. Here is the OWASP MCP Top 10, with concrete controls for tool poisoning, excessive agency, and supply chain.
Text-to-SQL demos dazzle, but wiring an LLM straight to your warehouse ships silently wrong numbers. Here is the 2026 pattern: a governed dbt or Cube semantic layer, row-level security, and eval suites before the model answers.
Encryption at rest and in transit is standard; the in-use gap is not. Here is how NVIDIA H100 and Blackwell TEE-I/O run LLMs with attested, encrypted VRAM for GDPR-safe, CLOUD Act-resistant inference.
Public reporting on an MIT study put roughly 95% of enterprise GenAI pilots at zero P&L impact. Here is the build/buy/nearshore pattern and the metrics the winning 5% actually move.
