AI and Machine Learning

Why We Built ThisBeyondTrust and CrowdStrike both ship native Model Context Protocol (MCP) servers: Pathfinder MCP for identity and privilege data, Falcon MCP for detections and threat telemetry. Used separately, each lets an AI agent query one platform. Wired together behind a single conversational agent, they let a security analyst ask one question and get an answer that spans both platforms — for example, whether an identity's privilege exposure lines up with what's actually happening on the detection side. Better together:  Next-Gen SIEM + Pathfinder.   Configure CrowdStrikeTo configure Claude Desktop for the CrowdStrike Falcon MCP server, you need to set up your CrowdStrike API credentials and update your claude_desktop_config.json file:  "falcon-mcp": { "command": "uvx", "args": [ "falcon-mcp" ], "env": { "FALCON_CLIENT_ID": "<Your_client_id>", "FALCON_CLIENT_SECRET": "<Your_client_secret>", "FALCON_BASE_URL": "https:

Objective:Wiring CrowdStrike Falcon and BeyondTrust Pathfinder into a single conversational agent on Amazon Bedrock AgentCore AWS Bedrock Harness Playground with both MCP servers. Why We Built ThisBeyondTrust and CrowdStrike both ship native Model Context Protocol (MCP) servers: Pathfinder MCP for identity and privilege data, Falcon MCP for detections and threat telemetry. Used separately, each lets an AI agent query one platform. Wired together behind a single conversational agent, they let a security analyst ask one question and get an answer that spans both platforms — for example, whether an identity's privilege exposure lines up with what's actually happening on the detection side.This guide walks through how we built exactly that on Amazon Bedrock AgentCore, using Claude as the reasoning model. It documents every real snag we hit, because the snags are where the actual learning is.  Architecture at a GlanceOne Harness (a Bedrock AgentCore conversational agent, running Claude) wit

Hi community,I’m Andrew Rivera, a Product Manager at BeyondTrust, and I’d like to invite interested customers to participate in an upcoming beta for a new product we’re actively developing on the BeyondTrust Pathfinder platform: Workload Credentials.Workload Credentials is designed for modern cloud-native and DevOps environments, enabling workloads such as CI/CD pipelines, Kubernetes workloads, Terraform, and AI agents to authenticate using workload identity (OIDC) and receive short-lived, automatically expiring credentials — eliminating the need for static secrets and manual credential rotation.We’re looking for customers interested in evaluating the current functionality and helping shape the future direction of the product through real-world feedback and collaboration with our product and engineering teams.Current areas of focus include:OIDC federation Dynamic AWS credentials Kubernetes and CI/CD integrations Policy-based access controls This beta is best suited for DevOps, SRE, Clo

MITRE and NVIDIA launch a new $20 million AI supercomputer to help U.S. government agencies tap into custom AI solutions to secure infrastructure. At the same time Gartner are seeing AI passing the “Peak of Inflated Expectations” and heading towards the “Trough of Disillusionment”.https://www.mitre.org/news-insights/fact-sheet/mitres-federal-ai-sandboxhttps://www.gartner.com/en/documents/5505695What are your thoughts around AI industry trends? Where is AI adding value for you today?How much are you planning with AI in mind?