Category: Security, Identity, & Compliance

Learn how Kaufman Rossin partnered with Fisent Technologies, Launchpad.io by Pegasystems, and AWS to transform manual Regulation E compliance testing into a scalable Outcomes-as-a-Service solution. The service combines deterministic workflow automation, applied generative AI, and cloud-native AWS infrastructure. It has processed more than 100,000 dispute cases across 30+ fintechs. Along the way, Kaufman Rossin achieved 70% faster testing and 50% fewer manual hours.

AI agents authenticate, hold permissions, and act on data, yet most organizations manage them as application components rather than governed identities. Learn how Saviynt Zuma works with Amazon Bedrock AgentCore to govern agents as first-class identities, from registration and least-privilege provisioning through runtime authorization, certification, and deprovisioning. Security teams can then answer which agents exist, who owns them, and what they can access.

F5 AI Guardrails and F5 AI Red Team deliver continuous adaptive security for AI applications on AWS Bedrock. This post introduces three capabilities for enterprise AI security: pre-deployment model evaluation, adversarial testing at scale, and adaptive runtime protection. Learn how these capabilities compress the gap between threat discovery and defense deployment from weeks to minutes.

Modern data architectures often rely on separate databases for transactions, analytics, and AI, leading to extract, transform, and load (ETL) latency; data inconsistency; and rising costs. OceanBase addresses these challenges with a unified multimodel architecture that converges online transaction processing (OLTP), online analytical processing (OLAP), and vector retrieval within a single engine on Amazon Web Services (AWS).

As enterprises deploy AI agents at scale, traditional identity governance designed for human users can’t keep pace. With 80% of organizations reporting unintended agent actions, the need for purpose-built agent identity security has never been greater. Learn how SailPoint’s Agent Identity Security (AIS), built on Amazon Bedrock AgentCore, extends proven governance principles to autonomous AI agents, enabling automatic discovery, least-privilege enforcement, and continuous access reviews without slowing innovation.

Grubhub and Vody are proving that the winners of AI-powered commerce won’t be defined by a single breakthrough feature, they’ll be the retailers who invest early in unified, AI-ready data foundations built on AWS. By modernizing catalog, content, and behavioral data across 400,000+ merchants, they delivered initial model results in just 6–10 weeks and demonstrated measurable improvements in search relevance, conversion, and customer experience, offering a blueprint for retailers preparing to lead the next wave of AI innovation.

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.

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.

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.