Category: Intermediate (200)

Amazon Route 53 Resolver DNS Firewall now integrates Palo Alto Networks Advanced DNS Security, bringing more than 30 advanced DNS threat detections including fast flux, DNS hijacking, domain generation algorithms, and newly registered domains—directly into your DNS Firewall rules. Available from the DNS Firewall console under the Advanced rule tier, it activates in about two minutes with no additional infrastructure to deploy or manage. In this post, you’ll learn how the integration works, the threat coverage it adds, and how to extend protection across accounts, VPCs, and hybrid environments at scale.

You’ve deployed your agents on Amazon Bedrock AgentCore but making them reachable from Claude Desktop, VS Code, Cursor, or GitHub Copilot means building an “experience layer” that handles identity, authorization, discovery, and developer UX. In this post, ASCENDING shares how they turned that recurring integration work into the Jarvis Registry, an open source experience layer that runs inside your AWS environment and connects agents to every IDE and copilot. See how one customer uses it to serve both business users and engineers from the same set of agents, with department-scoped access enforced across every tool.

Learn how Orca Security’s Just-in-Time (JIT) integration with AWS IAM Identity Center helps organizations address permission sprawl by replacing persistent access with time-bound, approval-based permissions that automatically revoke when the time window expires. This post explores how the integration works and what it means for security and engineering teams operating at scale.

The AI-Driven App Modernization Platform from Pega and AWS enables enterprises to incrementally transform legacy applications from mainframes to monolithic applications into intelligent, cloud-native workflows using AI-powered discovery, low-code design, and the strangler fig pattern, cutting modernization timelines from years to months without disrupting critical business operations.

DevRev built real-time AI guardrails into its enterprise agent system, powered by Amazon Nova 2 Lite through Amazon Bedrock. The guardrail layer evaluates every user input against default and custom policies in 247ms average latency without degrading the conversational experience. This post explores how DevRev delivers high support ticket automation and cost reduction while keeping content on-policy and safety controls firm.

As AI workloads scale on AWS, the API layer becomes the primary security surface where every prompt, model response, and agent action flows through. AWS foundational controls and Wallarm runtime API security work together to deliver continuous discovery, behavioral threat detection, and output validation, helping organizations secure agentic systems without re-architecting their environments.

As cloud-native environments expand, security and operations leaders face mounting pressure to reduce response times while managing growing alert volumes and team capacity. Elastic’s AI-powered features on Amazon Bedrock automate the path from detection to resolution across both security and observability workflows. Learn how conversational agents, automated workflows, and custom AI agents accelerate incident response and root cause analysis on AWS.

As AI agents take actions across systems on behalf of your users, identity and access management must sit at the center of your security strategy. In this post, we show how Auth0 for AI Agents and Amazon Bedrock AgentCore work together to authenticate users, secure agent-to-agent communication, govern tool access, and enforce fine-grained authorization. Learn how to extend your existing identity infrastructure to agentic workloads and replace fragmented security with a consistent, maintainable model.

Learn how to close the detection-to-response gap in your security operations by integrating Amazon Security Lake, Splunk Enterprise Security, and Recorded Future Autonomous Threat Operations into a unified SOC architecture that centralizes dispersed security data, automates event correlation, and accelerates threat mitigation through intelligence-driven response. This post walks through a phased implementation approach that transforms your security posture from reactive alert triage to proactive threat hunting.

Open-weight large language models are being released by research institutions worldwide, but turning published weights into production inference services remains a challenge—especially under strict data residency requirements. This post shows how Public AI built a scalable inference platform on Amazon EKS and Intel-powered Amazon EC2 instances to serve Switzerland’s Apertus model family, and why this architecture provides a repeatable blueprint for sovereign LLM initiatives.