logo
BeyondTrust recognised as leader in secrets management

BeyondTrust recognised as leader in secrets management

Techday NZ22-05-2025

BeyondTrust has been identified as an Overall Leader in the 2025 KuppingerCole Leadership Compass for Enterprise Secrets Management.
The independent analyst firm KuppingerCole evaluated a total of 16 vendors in the field of secrets management, highlighting BeyondTrust's capabilities, scalability, and focus on securing both human and non-human identities at enterprise scale.
The KuppingerCole report points to the increasing complexity organisations face as they adopt cloud services and pursue digital transformation initiatives. It notes the necessity for robust solutions to manage and secure cloud entitlements, emphasising that security in this evolving environment is paramount.
BeyondTrust's approach to secrets management extends beyond conventional vaulting solutions. The company's Password Safe solution is designed to deliver policy-based control and visibility over credentials such as application credentials, API keys, certificates, and other machine secrets.
The company has built native integrations with a range of popular platforms, including GitHub Actions, Kubernetes, Terraform, and Ansible. Such integrations are intended to streamline secret injection and lifecycle management, enabling developer-friendly workflows while maintaining security standards.
"BeyondTrust's solutions are particularly suited for enterprises demanding rigorous control over privileged and non-privileged accounts across complex environments. Given its strategic enhancements and comprehensive roadmap, BeyondTrust remains a strong choice for enterprises seeking advanced identity management solutions," Martin Kuppinger, Founder and Principal Analyst at KuppingerCole, commented on BeyondTrust's positioning in the report.
The report also acknowledges a shift in the sector as enterprises adopt AI-driven automation and manage more distributed workloads. This has led to a rise in so-called Agentic AI entities—software agents that operate with increasing autonomy, including initiating decisions, running processes, and interacting with data independently. According to the report, BeyondTrust is responding to these trends by developing capabilities that enforce identity lifecycle controls, ensure the principle of least privilege, and monitor for atypical behaviours across all identity types, whether human or non-human.
"Secrets management has to evolve with the reality of the modern threat landscape. That means securing not just traditional users and service accounts, but also non-human and autonomous AI identities. Our solutions are built to give security teams centralised visibility and control across every identity and environment, while empowering developers and operations teams to build and scale securely," Sam Elliott, Senior Vice President of Product Management at BeyondTrust, said, outlining the company's approach to current industry challenges.
BeyondTrust's secrets management offerings are part of the BeyondTrust Pathfinder Platform. The platform's scope includes Privileged Access Management, Identity Threat Detection and Response, Cloud Identity Management, Cloud Infrastructure Entitlement Management, and a recently released Identity Security Risk Assessment. This free assessment is designed to help organisations uncover hidden Risks to Privilege within their identity infrastructure, making vulnerabilities visible and offering practical recommendations for remediation.
The KuppingerCole Leadership Compass for Enterprise Secrets Management evaluates vendors' approaches to managing and protecting secrets, considering factors such as scalability, integrations, developer experience, and strategic vision in the context of current and emerging identity security challenges.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

VDURA unveils HyperScaleFlow v11.2 to cut AI storage costs
VDURA unveils HyperScaleFlow v11.2 to cut AI storage costs

Techday NZ

time3 days ago

  • Techday NZ

VDURA unveils HyperScaleFlow v11.2 to cut AI storage costs

VDURA has introduced Version 11.2 of its Data Platform, HyperScaleFlow, which brings enhancements to support artificial intelligence and high-performance computing workloads. The latest release delivers native Kubernetes Container Storage Interface (CSI) support, comprehensive end-to-end encryption, and the launch of VDURACare Premier, a support package that combines hardware, software, and maintenance under a single contract. A preview of the V-ScaleFlow capability is also included, which manages data movement between high-performance QLC flash and high-capacity hard drives to improve efficiency for AI-scale operations and reduce costs. According to VDURA, native CSI support eases multi-tenant Kubernetes deployments by enabling persistent-volume provisioning and management without scripting. The new end-to-end encryption feature provides security for data from transfer through to storage, including tenant-specific encryption per volume. VDURACare Premier offers comprehensive support through a single contract, covering hardware, software, and services such as a ten-year no-cost replacement policy for drives and 24-hour expert assistance. The V-ScaleFlow technology, currently in preview within the software, introduces an optimised data management layer. It dynamically orchestrates placement and movement of data between QLC SSDs, such as the Pascari 128TB, and high-density hard drives exceeding 30TB each. This approach aims to reduce flash capacity requirements by more than 50 percent and cut power consumption, which the company says delivers significant cost savings for organisations building AI data pipelines. The V-ScaleFlow system tackles industry challenges associated with write-intensive AI checkpoints and long-term data storage by using V-Burst to absorb demand spikes and write data sequentially to large NVMe drives, halving the amount of flash needed. For long-tail datasets and historic artefacts, the system moves data to high-capacity hard drives, which is intended to reduce both operational expenses and energy usage per petabyte stored. The VDURACare Premier bundle addresses the complexity seen in contracts that separate hardware, software, and maintenance through a combined package with risk-free coverage across a decade. Benefits highlighted for Version 11.2 and V-ScaleFlow include seamless data movement between flash and disks, optimised storage economics that can lower total cost of ownership by up to 60 percent, sub-millisecond latency for NVMe-class performance, and streamlined Kubernetes deployment for stateful AI workloads. Ken Claffey, Chief Executive Officer of VDURA, said: "V11.2 delivers the speed, cloud-native simplicity, and security our customers expect - while V-ScaleFlow applies hyperscaler design principles, leveraging the same commodity SSDs and HDDs to enable efficient scaling and breakthrough economics." VDURA stated that Data Platform V11.2 will become generally available on new V5000 systems during the third quarter of 2025. The full release of V-ScaleFlow is anticipated in the fourth quarter of 2025. Current V5000 users will have access to upgrade to Version 11.2 through an online update process. VDURA is presenting the capabilities of its data platform at ISC 2025, alongside partners such as Phison Pascari, Seagate Mozaic, Starfish, and Cornelis Networks. The company is hosting the VDURA AI Data Challenge, an event featuring strongman Hafþór Björnsson, which will allow attendees to engage with interactive data tasks and evaluate GPU-optimised data performance. Commenting on the technology, Michael Wu, President and General Manager of Phison U.S., said: "Phison has collaborated closely with VDURA to validate V-ScaleFlow technology, enabling seamless integration of our highest-capacity QLC Pascari enterprise SSDs in the VDURA Data Platform. V-Burst optimises write-intensive AI workloads, delivering exceptional performance and endurance while driving down costs - a game-changer for HPC and AI environments." Trey Layton, Vice President of Software and Product Management for Advanced Computing at Penguin Solutions, added: "Penguin Solutions is excited to see VDURA's V11.2 release and breakthrough features that include V-ScaleFlow, native CSI support, and end-to-end encryption that advance the operational goals of our enterprise, federal, and cloud customers. These enhancements simplify persistent storage orchestration across Kubernetes environments, ensure robust security without performance tradeoffs, and unlock compelling TCO improvements for organisations scaling AI and HPC workloads. VDURA continues to deliver a platform purpose-built for the future of real-time, inference-driven infrastructure."

DuploCloud launches AI DevOps Help Desk to boost automation
DuploCloud launches AI DevOps Help Desk to boost automation

Techday NZ

time3 days ago

  • Techday NZ

DuploCloud launches AI DevOps Help Desk to boost automation

DuploCloud has launched the DuploCloud AI DevOps Help Desk, described as the industry's first Agentic Help Desk where specialised DevOps agents address user requests in real time. The new platform allows DevOps engineers and IT administrators to shift their roles from writing automation scripts to creating AI agents designed to tackle a wide range of end-user needs. DuploCloud states that as artificial intelligence continues to drive rapid development and scalability within technology teams, the function of DevOps becomes critical yet increasingly challenging. Many current automation tools, the company notes, still rely heavily upon subject matter expertise, and the process of hiring skilled DevOps professionals is both difficult and costly. According to the company, its platform has already provided support to a large number of high-growth businesses, including start-ups and enterprises, through an automation platform that covers the breadth of DevOps. This includes infrastructure-as-code (IaC), Kubernetes management, cloud services, observability, security, and compliance. DuploCloud highlights that frequent collaboration with clients and management of thousands of environments naturally led to integrating AI into its operations. The resultant Agentic Help Desk, now part of DuploCloud's core platform, is aimed at enabling customers to scale more quickly, automate more processes, and free up time for other priorities. Venkat Thiruvengadam, Founder and Chief Executive Officer of DuploCloud, commented on the complexity of operating cloud infrastructure and the slow pace of automation adaptation. "Building and operating cloud infrastructure continues to grow in complexity. The pace of DevOps automation constantly lags behind the ever-changing engineering and security needs of cloud infrastructure. Meaningful developer self-service remains elusive," he said. "DuploCloud's AI DevOps Help Desk represents a strategic leap forward in how DevOps is executed. Achieving unprecedented speed, efficiency, and reliability, fundamentally reshaping cloud operations." The traditional IT Help Desk is generally structured as a manual, asynchronous model, limited by human resources. DuploCloud's Agentic DevOps Help Desk aims to replace this with a real-time, agent-driven system where user requests are routed directly to the relevant AI agent. Through the system, users are able to state their requirements in plain language. The designated agent then responds with appropriate context, executes actions within secure permissions, and has the capacity to escalate tasks or collaborate with other agents if needed. The process also integrates human-in-the-loop elements, such as approval workflows, audit trails, screen share capabilities, and real-time user input, all embedded to provide user control without impacting efficiency. The platform is reported to include an Automation Studio, centralised around an MCP server, which provides tools compatible with various infrastructure environments including Kubernetes, public cloud providers, open telemetry, and continuous integration/continuous delivery (CICD) systems. Feedback from early adopters indicates that the AI DevOps Help Desk is being used to update infrastructure practices via containerisation and Kubernetes, address performance concerns, and execute cost optimisation procedures. Teams have reported the ability to automate up to 80% of routine DevSecOps tasks using custom agents calibrated to their specific workflows. The automation platform has reduced the time required for new application onboarding from weeks to minutes, and has halved the time to achieve and maintain industry compliance standards such as SOC2, HIPAA, and PCI. The Agentic Help Desk is currently accessible to customers through an early access programme.

Mirantis k0rdent unifies AI, VM & container workloads at scale
Mirantis k0rdent unifies AI, VM & container workloads at scale

Techday NZ

time30-05-2025

  • Techday NZ

Mirantis k0rdent unifies AI, VM & container workloads at scale

Mirantis has released updates to its k0rdent platform, introducing unified management capabilities for both containerised and virtual machine (VM) workloads aimed at supporting high-performance AI pipelines, modern microservices, and legacy applications. The new k0rdent Enterprise and k0rdent Virtualization offerings utilise a Kubernetes-native model to unify the management of AI, containerised, and VM-based workloads. By providing a single control plane, Mirantis aims to simplify operational complexity and reduce the need for multiple siloed tools when handling diverse workload requirements. k0rdent's unified infrastructure management allows organisations to manage AI services, containers, and VM workloads seamlessly within one environment. The platform leverages Kubernetes orchestration to automate the provisioning, scaling, and recovery of both containers and VMs, helping deliver consistent performance at scale. The platform also offers improved resource utilisation by automating the scheduling of computing and storage resources for various workloads through dynamic allocation. According to the company, this optimisation contributes to more efficient operations and cost control across modern and traditional application environments. Organisations can benefit from faster deployment cycles as k0rdent provides declarative infrastructure and self-service templates for containers and VMs. These features are designed to reduce delays typically associated with provisioning and deployment, allowing teams to accelerate time-to-value for projects. Enhanced portability and flexibility form a key part of the platform's approach. Workloads, including AI applications and microservices, can run alongside traditional VM-based applications on public cloud, private data centres, or hybrid infrastructure, without requiring refactoring. This capability aims to support a wide range of operational strategies and application modernisation efforts. Shaun O'Meara, Chief Technology Officer at Mirantis, stated, "Organisations are navigating a complex mix of legacy systems and emerging AI demands. k0rdent Enterprise and k0rdent Virtualization are delivering a seamless path to unified, Kubernetes-native AI infrastructure, enabling faster deployment, easier compliance, and reduced risk across any public, private, hybrid, or edge environment." With the new updates, platform engineers can define, deploy, and operate Kubernetes-based infrastructure using declarative automation, GitOps workflows, and validated templates from the Mirantis ecosystem. The solution is built on k0s, an open source CNCF Sandbox Kubernetes distribution, which Mirantis says enables streamlined infrastructure management and supports digital transformation initiatives across enterprises. k0rdent Virtualization, which operates on Mirantis k0rdent Enterprise, is positioned as an alternative to VMware tools such as vSphere, ESXi, and vRealize. This is intended to facilitate enterprises seeking to modernise application portfolios or expand edge computing infrastructure, including the integration of AI and cloud-native workloads, while retaining support for legacy infrastructure. The platform supports distributed workloads running across a variety of environments. It enables platform engineering teams to manage Kubernetes clusters at scale, build tailored internal developer platforms, and maintain compliance and operational consistency. k0rdent offers composable features through declarative automation, centralised policy enforcement, and deployment templates that can be used with Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), vSphere, and OpenStack. Mirantis provides k0rdent Enterprise and k0rdent Virtualization directly and via channel partners to meet the needs of organisations managing distributed and AI-driven workloads.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store