This launch marks a significant upgrade by delivering modern privilege access management (PAM) with agentic functionality. Organizations can now extend dynamic privilege controls any identity: human, machine and agent, so as not to allow autonomous access to sensitive data and systems.  As privilege becomes increasingly pervasive and agentic access remains uncontrolled, identity has become the primary attack vector, with 9 out of 10 organizations experiencing an identity-related breach in the past year.

And the attack surface continues to grow with machine and AI identities now outnumbering humans 109 to 1, while 61% of privileged access requests are fulfilled with standing privilege rather than on-demand, leaving the enterprise even more vulnerable to identity threats. Idira eliminates standing privileges and extends dynamic privilege controls to all users, democratizing privilege access to help ensure that all identities are secured.

According to the announcement,  Idira is designed to help organizations:

  •  Discover Identity Risk: Stop threats by using AI to continuously surface and instantly remediate every identity, entitlement and access path across an enterprise.
  •  Control Every Privilege: Move from static access to dynamic controls by applying zero standing privilege and just-in-time enforcement to every identity.
  •  Automate Governance: Apply AI-powered policy to transform compliance into governance by automating the entire identity lifecycle.

Idira is generally available today, with additional capabilities coming later this year. Read the blog and learn more about how Idira is securing the AI enterprise.

Amazon Redshift introduces AWS Graviton-based RG instances

Amazon is announcing Amazon Redshift RG instances, a new instance family powered by AWS Graviton. RG instances deliver better performance, running data warehouse workloads up to 2.2x as fast as RA3 instances at 30% lower price per vCPU. Their integrated data lake query engine lets users run SQL analytics across data warehouses and data lakes from a single engine with performance up to 2.4x as fast as RA3 for Apache Iceberg and up to 1.5x as fast as RA3 for Apache Parquet. This blend of speed, cost efficiency, and an integrated data lake query engine makes Redshift RG instances well-suited to handle the high query volumes and low-latency requirements of today’s analytics and agentic AI workloads.Users can launch new clusters or migrate existing clusters through the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS API. The integrated data lake query engine is enabled by default.You can migrate previous-generation instances to RG instances with optimal paths based on your cluster configuration to estimate costs, validate compatibility, and automate execution.

  • Elastic Resize—in-place migration with 10-15 minutes downtime for compatible configurations
  • Snapshot and Restore—create a RG cluster from an RA3 snapshot. This is best for customers who want to make configuration changes during the migration

Your external tables, schemas, and query syntax—including existing Spectrum queries—remain unchanged. There is no need to recreate external tables or modify application code. To learn more, visit the Redshift Management Guide.

Amazon Redshift now executes data lake queries on cluster nodes—the same compute that processes data warehouse workloads. As a result, Amazon Redshift Spectrum is no longer required. Data lake queries stay within your VPC boundary, use existing IAM roles, and incur zero per-terabyte scanning charges. This removes the $5/TB Spectrum scanning fees that previously added to total Redshift costs.

Amazon Redshift RG instances are now available. For Regional availability and a future roadmap, visit the AWS Capabilities by Region. For Redshift Provisioned, you can select On-Demand Instances with hourly billing and no commitments or choose Reserved Instances for cost savings. To learn more, visit the Amazon Redshift Pricing page.

IP Fabric Expands NetBox Integration to Deliver Continuous Network Validation for Enterprise Operations

Digital twin platform provided IP Fabric announced expanded integration capabilities with NetBox that compare an actual network state discovered by IP Fabric with the intended network state stored in NetBox. By highlighting the differences between the network’s actual versus intended state, organizations gain the visibility essential for validating day-to-day changes, automating workflows and enforcing compliance controls.

“Enterprises rely on multiple operational systems to manage and automate modern networks, but those systems can create value only when the actual and intended network states are aligned,” said Pavel Bykov, co-founder and CEO of IP Fabric. “IP Fabric’s enhanced NetBox integration provides customers with a continuously validated understanding of their network, which ensures that services are available and reduces the risk of projects like network automation and AIOps.”

Network teams are under increasing pressure to move faster without introducing risk. IP Fabric’s enhanced NetBox integration helps organizations perform data syncs to maintain a continuous feedback loop between network intent and network reality. This opens the door to:

  • Build AIOps workflows based on normalized, interoperable data.

  • Accelerate NetBox deployment and lifecycle management.

  • Validate manual and automated workflows.

  • Proactively identify configuration drift.

  • Prove continuous security and regulatory compliance.

To learn more about IP Fabric’s NetBox integration, visit the IP Fabric blog or schedule a demo today.