TechiSeek

AddAdd your Listings

Blogs

Detecting malicious pull requests at scale with LLMs

Datadoghq

Learn how Datadog’s SDLC Security team built an LLM-powered system to detect malicious pull requests at scale—without sacrificing developer velocity.

Visit Site

MCP security risks: How to build SIEM detection rulesDatadoghq Kubernetes pod pending failures: How to debugDatadoghq Automate workflows with Datadog’s Amazon EventBridge integrationDatadoghq How to implement log management policies with your teamsDatadoghq Making agentic token costs visible in productionDatadoghq LLM guardrails: Best practices for deploying LLM apps securelyDatadoghq How we grew Mintlify by doing things that don't scaleMintlify How to implement AI training for employeesZapier How automation helped us get better customer reviewsZapier Pancakes Are Delicious and Data Centers Are for Free StuffThenewstack Transform and Future-Proof Your Architecture with MACHThenewstack Selecting the Right Database for Your MicroservicesThenewstack How Ramp automated receipt processing with fine-tuned LLMsModal What is a Load/Store Unit?Modal Real-Time Computational Physics with Wafer-Scale Processing [updated]Cerebras Cerebras Wafer-Scale Engine Inducted into the Computer History Museum - CerebrasCerebras AMD and Cerebras Announce Disaggregated AI InferenceCerebras How AI Assistants Can Decode GitHub Repos for UI WritersDocker 20 Must-Attend Startup Events in San Francisco 2025 | HeyGenHeygen GlassWorm Loader Hits Open VSX via Developer Account CompromiseSocket