Alternatives to ACRA
Compare ACRA alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ACRA in 2026. Compare features, ratings, user reviews, pricing, and more from ACRA competitors and alternatives in order to make an informed decision for your business.
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VersaONE
Versa Networks
The AI-powered platform for unified security and networking. Enhance the speed of detection and remediation with AI-powered threat and data protection that minimizes human errors. Improve user and app experience, and improve performance and reliability with an AI-powered network. Lower your TCO by simplifying your infrastructure with a converged platform that reduces point product sprawl, fragmented operations, and complex lifecycle management. VersaONE provides seamless connectivity and unified security for all users, devices, offices, branches, and edge locations. It delivers secure access to all your workloads, applications, and clouds from a single platform, ensuring that data and resources are accessible and secure across any network whether it be WAN, LAN, wireless, cellular or satellite. This unified platform approach streamlines network management, reduces complexity, and enhances security, meeting the demands of modern IT environments. -
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Kubernetes
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.Starting Price: Free -
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Confidential AI
Confidential AI
Confidential AI provides private inference, private agents, confidential VMs and confidential computing infrastructure for AI labs, inference providers, routers, and organizations handling sensitive workloads. Its hosted inference service runs open-weight models in hardware-backed trusted execution environments (TEEs), including Intel TDX and AMD SEV-SNP confidential VMs with NVIDIA GPUs in confidential computing mode. Prompts, responses, and workload data are protected from infrastructure operators, and clients can verify attestation before sending sensitive input. Customers can use an OpenAI-compatible API to deploy inference endpoints and agent workloads, or license the confidential-computing stack for on-premises infrastructure, bare metal, and major clouds. Use cases include serving models while limiting operator access to prompts and model assets, and running sensitive AI workloads on dedicated confidential compute.Starting Price: $0.30 per 1M input tokens -
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Secure your container environment on GCP, GKE, or Anthos. Containerization allows development teams to move fast, deploy software efficiently, and operate at an unprecedented scale. As enterprises create more containerized workloads, security must be integrated at each stage of the build-and-deploy life cycle. Infrastructure security means that your container management platform provides the right security features. Kubernetes includes security features to protect your identities, secrets, and network, and Google Kubernetes Engine uses native GCP functionality—like Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—and GKE-specific features like application layer secrets encryption and workload identity to bring the best of Google security to your workloads. Securing the software supply chain means that container images are safe to deploy. This is how you make sure your container images are vulnerability free and that the images you build aren't modified.
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edgeContinuum
edgeContinuum
edgeContinuum is a cloud management platform that adds self-service services to OpenStack infrastructure. Through a web console, API and Terraform, administrators can offer managed Kubernetes clusters, PostgreSQL databases, virtual machines and application templates to internal teams or customer tenants. Multi-tenancy controls include organizations, projects, roles, quotas and usage tracking. The platform organizes data centers and edge sites into regions and availability zones, and automates provisioning and lifecycle tasks for Kubernetes and PostgreSQL. Cloud and managed service providers can use it to deliver branded infrastructure services, while enterprises can offer developers on-demand access under IT governance. The control plane can be hosted or deployed on-premises, including in air-gapped environments, with workloads running on the operator's infrastructure. -
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Arkhein
Arkhein
Arkhein is a graph-based Cloud-Native Application Protection Platform (CNAPP) built for multi-cloud security. It unifies cloud infrastructure, identities, workloads, vulnerabilities, sensitive data and exposure in a living Security Graph to reveal real attack paths instead of isolated findings. Arkhein combines CSPM, CIEM, DSPM, Infrastructure-as-Code security, Kubernetes and container security, agentless workload analysis, continuous compliance, behavioral analytics and automated remediation through Terraform and GitOps workflows. It supports AWS, Azure, GCP, OCI and Huawei Cloud environments, with SaaS, self-hosted and air-gapped deployment options for enterprise, regulated and data-sovereign organizations. -
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Edera
Edera
Introducing secure-by-design AI and Kubernetes no matter where you run your infrastructure. Eliminate container escapes and put a security boundary around Kubernetes workloads. Simplify running AI/ML workloads through enhanced GPU device virtualization, driver isolation, and vGPUs. Edera Krata begins a new paradigm of isolation technology, ushering in a new era of security. Edera brings a new era of AI & GPU security and performance, while also integrating seamlessly with Kubernetes. Each container receives its own Linux kernel, eliminating a shared kernel state between containers. Which means goodbye container escapes, costly security tool layering, and long days doom scrolling logs. Run Edera Protect with just a couple lines of YAML and you’re off to the races. It’s written in Rust for enhanced memory safety and has no performance impact. A secure-by-design Kubernetes solution that stops attackers in their tracks. -
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Klique
Klique
Klique is an enterprise AI control plane that helps organizations manage AI models, applications, agents, and computing resources through a unified platform. The software combines intelligent model routing, AI service governance, and GPU orchestration to optimize performance, infrastructure utilization, and operational costs. Its smart routing engine directs AI requests to appropriate models based on cost, latency, data sensitivity, and organizational policies. Centralized governance capabilities include token budgets, usage quotas, role-based permissions, single sign-on, and audit logging across AI services. Klique also supports GPU resource pooling, fractional GPU sharing, workload scheduling, and automated allocation of computing resources across cloud and on-premises infrastructure. The platform integrates with Kubernetes, cloud providers, AI model APIs, and developer tools while supporting self-hosted, hybrid, and air-gapped deployments. -
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Randoli
Randoli
Randoli is an OpenTelemetry-native observability and cost management platform for Kubernetes, multicloud, hybrid, and AI/ML workloads. It brings infrastructure health, application performance, logs, metrics, traces, incidents, and cloud costs into one control plane, helping teams replace fragmented tools with a correlated view of system behavior. Its federated architecture separates the control plane from the data plane, analyzes telemetry locally, extracts relevant signals, and retrieves data on demand during investigations, reducing ingestion and egress while supporting data sovereignty. Randoli monitors clusters, nodes, pods, workloads, services, dependencies, latency, errors, throughput, and resource usage across AWS, Azure, Google Cloud, OpenShift, and on-premises environments. OpenTelemetry and eBPF provide automatic, low-overhead instrumentation, filtering, enriched telemetry, and real-time signal correlation.Starting Price: $0.04 per hour -
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Aembit
Aembit
Replace manual and insecure access to non-human identities with our automated and secretless Workload IAM platform. Manage your workload-to-workload access like you do your users: with automated, policy-based and identity-driven controls, so you can proactively eliminate the risk of non-human identities. Aembit boosts security by cryptographically verifying workload identities, in real time, ensuring that only trusted workloads have access to your sensitive data. Aembit injects short-lived credentials into requests just-in-time so you never have to store or protect secrets. Dynamically enforce access rights based on real-time evaluations of workload security posture, geography and other key behavioral characteristics. Aembit secures access amongst workloads in the cloud on-prem and in SaaS. -
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dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
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CrowdStrike Falcon Cloud Security
CrowdStrike
CrowdStrike Falcon Cloud Security is a unified cloud security platform designed to stop breaches from code to runtime with agentless visibility, the Falcon sensor, real-time detection, AI-driven insights, and automated response. It provides continuous visibility across what organizations build and run, helping teams identify adversary risk, investigate threats faster, and stop attacks across multi-cloud environments. Cloud Detection and Response delivers real-time visibility into cloud control-plane activity and correlates cloud signals with endpoint and identity data so SOC teams can detect adversaries earlier. Agentless posture management enriches cloud-risk findings with adversary intelligence and graph-based context to prioritize exploitable exposures and reduce the attack surface. It also secures cloud workloads, containers, Kubernetes environments, identities and entitlements, infrastructure as code, software bills of materials, sensitive cloud data, etc. -
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D2iQ
D2iQ
D2iQ Enterprise Kubernetes Platform (DKP) Run Kubernetes Workloads at Scale DKP includes everything you need to ease Kubernetes adoption, expand Kubernetes use, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Built to Solve the Toughest Enterprise Kubernetes Challenges Created to accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. Enable Day 2 Readiness Out-of-the-Box Without Lock-In DKP takes care of the heavy lifting by providing a comprehensive, enterprise-grade Kubernetes distribution and a full stack of CNCF-certified Day 2 platform applications that are integrated, automated, and tested at scale for an out-of-the-box, production-ready experience. -
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k0rdent
Mirantis
k0rdent is an open-source, Kubernetes-native Distributed Container Management Environment developed by Mirantis to help teams build and operate developer platforms at scale. It uses Kubernetes as a universal control plane across multi-cloud, edge, and on-prem environments. k0rdent simplifies complex infrastructure by automating cluster lifecycle management, policy enforcement, and configuration consistency. The platform enables platform engineering teams to design repeatable, workload-specific developer platforms using declarative templates and composable components. It reduces operational toil by supporting self-service environments and GitOps-driven workflows. With centralized visibility, teams can optimize performance, costs, and compliance from a single control point. k0rdent is built to support modern workloads, including AI and ML, without vendor lock-in. -
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VMware vSphere
Broadcom
Get the power of the enterprise workload engine. Boost workload performance, improve security and speed up innovation for your business. vSphere delivers essential services for the modern hybrid cloud. The new vSphere has been rearchitected with native Kubernetes to run existing enterprise applications alongside modern containerized applications in a unified manner. Transform on-premises infrastructure with cloud integration. Boost productivity with central management, global insights and automation. Power up with add-on cloud services. Meet the throughput and latency needs of distributed workloads by accelerating networking functions on the DPU. Free up GPU resources for faster AI/ML model training and higher complexity models. -
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Tetrate
Tetrate
Connect and manage applications across clusters, clouds, and data centers. Coordinate app connectivity across heterogeneous infrastructure from a single management plane. Integrate traditional workloads into your cloud-native application infrastructure. Create tenants within your business to define fine-grained access control and editing rights for teams on shared infrastructure. Audit the history of changes to services and shared resources from day zero. Automate traffic shifting across failure domains before your customers notice. TSB sits at the application edge, at cluster ingress, and between workloads in your Kubernetes and traditional compute clusters. Edge and ingress gateways route and load balance application traffic across clusters and clouds while the mesh controls connectivity between services. A single management plane configures connectivity, security, and observability for your entire application network. -
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NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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Container Service for Kubernetes (ACK) from Alibaba Cloud is a fully managed service. ACK is integrated with services such as virtualization, storage, network and security, providing user a high performance and scalable Kubernetes environments for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider (KCSP) and ACK is certified by Certified Kubernetes Conformance Program which ensures consistent experience of Kubernetes and workload portability. Kubernetes Certified Service Provider (KCSP) and qualified by Certified Kubernetes Conformance Program. Ensures Kubernetes consistent experience, workload portability. Provides deep and rich enterprise-class cloud native abilities. Ensures end-to-end application security and provides fine-grained access control. Allows you to quickly create Kubernetes clusters. Provides container-based management of applications throughout the application lifecycle.
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Nife
Nife Labs
Nife is the unified operating layer for cloud, edge, and AI infrastructure. It lets engineering teams deploy, manage, and scale applications across public cloud, edge, Kubernetes, bare-metal, and private infrastructure from one control plane. Nife combines application delivery, infrastructure control, cost visibility, and built-in AI SRE. Teams can deploy from Git, Docker, or source; manage applications, clusters, and virtual machines; run multi-region workloads; investigate and remediate incidents with AI SRE; optimize cloud costs; and use monitoring, logs, alerts, and observability across their infrastructure. -
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HashiCorp Nomad
HashiCorp
A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single 35MB binary that integrates into existing infrastructure. Easy to operate on-prem or in the cloud with minimal overhead. Orchestrate applications of any type - not just containers. First class support for Docker, Windows, Java, VMs, and more. Bring orchestration benefits to existing services. Achieve zero downtime deployments, improved resilience, higher resource utilization, and more without containerization. Single command for multi-region, multi-cloud federation. Deploy applications globally to any region using Nomad as a single unified control plane. One single unified workflow for deploying to bare metal or cloud environments. Enable multi-cloud applications with ease. Nomad integrates seamlessly with Terraform, Consul and Vault for provisioning, service networking, and secrets management. -
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kgateway
Cloud Native Computing Foundation
kgateway is a Kubernetes-native gateway platform designed to manage microservices and AI agent traffic at scale. It acts as a unified control plane for API gateways, AI gateways, inference routing, and agent-to-agent communication. Built on Envoy and open standards, kgateway implements the Kubernetes Gateway API for modern cloud-native environments. The platform enables centralized authentication, authorization, rate limiting, and traffic management. Kgateway also secures LLM consumption by controlling access to models, tools, and agents. It supports intelligent routing for AI inference workloads running in Kubernetes. Trusted by enterprises worldwide, kgateway delivers scalable, secure, and flexible connectivity across any cloud. -
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CardinalOps
CardinalOps
The CardinalOps platform is an AI-powered threat exposure management solution designed to provide organizations with an integrated view of prevention and detection controls across endpoint, cloud, identity, network, and more. It aggregates findings from misconfigurations, unsecured internet-facing workloads, missing hardening controls, and gaps in detection or prevention to give full visibility of exposures and prioritize actions based on business context and adversary tactics. The system continuously maps detections and controls to the MITRE ATT&CK framework to assess coverage depth and identify broken, noisy, or missing detection rules, while also generating deployment-ready detection content customized to each environment via native API integration with major SIEM/XDR tools such as Splunk, Microsoft Sentinel, IBM QRadar, and others. Through its automation and threat intelligence operationalization features, it helps security teams remediate exposure faster. -
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CyberArk Machine Identity Security
CyberArk
CyberArk Machine Identity Security provides comprehensive protection for all machine identities, including secrets, certificates, workload identities, and SSH keys. The platform offers centralized visibility and scalable automation to secure these non-human identities throughout their lifecycle. Designed to help organizations reduce risk and maintain resilience, CyberArk ensures secure machine identity management across on-premises, cloud, and hybrid environments. -
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KubeVirt
KubeVirt
KubeVirt technology addresses the needs of development teams that have adopted or want to adopt Kubernetes but possess existing Virtual Machine-based workloads that cannot be easily containerized. More specifically, the technology provides a unified development platform where developers can build, modify, and deploy applications residing in both application containers as well as virtual machines in a common, shared environment. The benefits are broad and significant. Teams with a reliance on existing virtual machine-based workloads are empowered to rapidly containerize applications. With virtualized workloads placed directly in development workflows, teams can decompose them over time while still leveraging the remaining virtualized components as is comfortably desired. Combine existing virtualized workloads with new container workloads on the one platform. Support development of new microservice applications in containers that interact with existing virtualized applications. -
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Intel Trust Authority
Intel
Intel Trust Authority is a zero-trust attestation service that ensures the integrity and security of applications and data across various environments, including multiple clouds, sovereign clouds, edge, and on-premises infrastructures. It independently verifies the trustworthiness of compute assets such as infrastructure, data, applications, endpoints, AI/ML workloads, and identities, attesting to the validity of Intel Confidential Computing environments, including Trusted Execution Environments (TEEs), Graphical Processing Units (GPUs), and Trusted Platform Modules (TPMs). Provides assurance of the environment's authenticity, irrespective of data center management, addressing the need for separation between cloud infrastructure providers and verifiers. Enables workload expansion across on-premises, edge, multiple cloud, or hybrid deployments with a consistent attestation service rooted in silicon. -
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DeepKeep
DeepKeep
DeepKeep is an AI security platform that helps organizations securely build, deploy, and use AI applications, agents, models, and employee AI tools. It addresses risks traditional security controls were not designed for, including prompt injection, sensitive data leakage, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI. DeepKeep secures the full AI lifecycle through automated and Vibe AI Red Teaming, real-time AI Firewall and guardrails, AI Usage Control, AI Agent Scanner, and Model Scanning. It enables security teams to identify vulnerabilities before deployment, map agent attack surfaces, inspect models, control employee AI usage, and protect AI interactions in production. DeepKeep is model-agnostic, multimodal, and natively multilingual. It supports SaaS, private cloud, on-premises, and air-gapped deployments, helping enterprises secure AI while meeting privacy, sovereignty, and regulatory requirements. -
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Agent Substrate
Google
Agent Substrate is an open-source runtime for operating isolated, stateful agent and code-execution sandboxes on Kubernetes. It coordinates actor and worker lifecycles, places active workloads on a shared pool of ready capacity, and can suspend idle environments while preserving memory and filesystem state for later resumption. Sandboxes use gVisor or Cloud Hypervisor microVM isolation, with per-actor identity and network controls. Agent Substrate is designed for platform and infrastructure teams building agent-hosting services, coding environments, and other workloads that execute untrusted or intermittent tasks. The core project is Kubernetes-portable; Google Cloud also provides GKE-optimized deployment tooling. Optional Filestore agent volumes can persist workspaces across suspend and resume cycles.Starting Price: $0 -
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AhnLab CPP
AhnLab
An increasing number of businesses are migrating their workloads to cloud environments to accelerate digital transformation. However, cloud environments require a new security platform for centralized visibility and management of cloud workloads. AhnLab CPP is a single, centralized cloud workload protection platform that focuses on providing optimized protection, unified management, and flexibility for workloads in hybrid environments. Provides comprehensive visibility and easy management for workloads in on-premise and cloud server (AWS, Azure) environments. Delivers easy operation and management through a single, web-based management platform. Provides module-based CPP management, which enables flexible configuration according to the business environment. Saves cost by allowing selective installation and application of security solutions. Provides real-time malware scan on Windows and Linux servers with minimal impact on resources and performance. -
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Tinfoil
Tinfoil
Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models. -
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IBM Cloud™ Data Shield enables users to run containerized applications in a secure enclave on an IBM Cloud Kubernetes Service host, providing data-in-use protection. IBM Cloud Data Shield supports user-level code to allocate private regions of memory, called enclaves, that are protected from processes running at higher privilege levels. It extends Intel Software Guard Extensions (SGX) language support from C and C++ to Python and Java™, while also providing preconverted SGX applications for MySQL, NGINX and Vault. Powered by the Fortanix Runtime Encryption platform and Intel SGX technology, these tools enable organizations with sensitive data to leverage cloud computing with more confidence. IBM Cloud Data Shield helps enable organizations with sensitive data to deploy and benefit from cloud computing. IBM Cloud Data Shield can run containerized applications in secure enclaves on the IBM Cloud Kubernetes Service.
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Apprenda
Apprenda
Apprenda Cloud Platform empowers enterprise IT to create a Kubernetes-enabled shared service on the infrastructures of their choice and offer it to developers across business units. ACP supports your entire custom application portfolio. Rapidly build, deploy, run, and manage cloud-native, microservices, and container-based .NET and Java applications or modernize traditional workloads. ACP gives your developers self-service access to the tools they need to rapidly build applications, while IT operators can very easily orchestrate the environments and workflows. Enterprise IT becomes a true service provider. ACP is a single platform spanning your multiple data- centers and clouds. Run ACP on-premise or consume it as a managed service on the public cloud; both with the assurance of complete infrastructure independence. ACP enables policy-driven control over all of your application workloads' infrastructure utilization and DevOps processes. -
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TrueFort
TrueFort
Attackers will always find a way in. Insulate your environment against spreading compromise by enforcing a positive security model that curbs lateral movement. TrueFort gives security teams the scalable workload protection platform they need to secure hybrid environments. Next-gen firewalls and IP address-based controls are completely ineffective in modern infrastructure. Whether your workloads execute in the cloud, in virtual infrastructure, or on physical servers, TrueFort protects against advanced attacks with workload hardening, integrity monitoring, detection and response, and identity-based segmentation. Only TrueFort combines environment-wide security observability with real-time response, service account behavior analytics, file integrity monitoring, and CIS-certified hardening and file integrity monitoring that highlights differences between file and binary versions. -
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RidgeShield
Ridge Security
RidgeShield cloud workload protection, is your first line of defense, providing zero-trust micro-segmentation technology to protect cloud workloads, regardless of whether they are deployed on-premises, in hybrid cloud, or multi-cloud environments. With RidgeShield, organizations can ensure the security posture of their network against sophisticated security threats. As an innovative host based micro-segmentation platform, RidgeShield supports a wide range of operating systems and workloads, continuously monitoring traffic across workloads and enforcing unified security policies across any environment. -
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Trellix Cloud Workload Security
Trellix
A single-pane view helps consolidate management across physical, virtual, and hybrid-cloud environments. Benefit from secure workloads all the way from on-prem to cloud, across the board. Automates the defense of elastic workloads to eliminate blind spots and deliver advanced threat defense. Leverage advanced host-based workload defense optimized specifically for virtual instances to avoid straining overall infrastructure. Avail virtual machine-optimized threat defenses that help deliver multilayer countermeasures. Gain awareness and protect your virtualized environment and network from external malicious sources. Comprehensive countermeasures, including machine learning, application containment, virtual machine-optimized anti-malware, whitelisting, file integrity monitoring, and micro-segmentation, to protect your workloads. Helps assign and manage all workloads automatically with the ability to import AWS and Microsoft Azure tag information into Trellix ePO. -
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OneSource Cloud
OneSource Cloud
OneSource Cloud designs, builds, and manages sovereign AI infrastructure for organizations in regulated industries that cannot run sensitive workloads on public cloud: healthcare and life sciences, financial services, government and defense, energy, legal, and research. We deliver dedicated GPU compute as a managed service. Scope covers cluster design, hardware procurement, data center colocation, deployment, and ongoing operations. Clusters use NVIDIA GPUs with InfiniBand interconnect for multi-node training and inference, backed by high-performance storage and private networking. Each customer gets an isolated, single-tenant environment, so data and models never share hardware with another tenant. Managed services include capacity planning, provisioning, workload scheduling, monitoring, patching, and support. Environments are configured to the customer's compliance requirements, including NIST 800-171 and data residency controls. We operate 20,000+ GPUs across 96+ DCs -
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Idira
Idira by Palo Alto Networks
Idira is Palo Alto Networks’ next-generation identity security platform built for the AI enterprise, designed to secure every human, machine, and agentic identity through one unified control plane. It modernizes privileged access management by extending privilege controls beyond administrators to every identity that can access sensitive systems, data, applications, cloud services, workloads, endpoints, secrets, certificates, SSH keys, and AI agents. It discovers identity risk, applies privilege dynamically, and governs the full lifecycle from first access to final session. Idira replaces static, always-on access with dynamic privilege, just-in-time access, zero standing privilege, continuous verification, policy-driven controls, and real-time enforcement based on identity, device, and context. For human identities, it unifies privileged access, workforce access, endpoint privilege management, and identity governance, helping organizations reduce privilege sprawl. -
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Lumeus
Lumeus
Automate anomaly detection to meet SLAs. Monitor the entire network. Optimize digital experiences. Modernize network security leveraging your existing infrastructure through an agentless, AI-assisted approach. Enforce access by least privilege. Create identity-based boundaries. Extend to applications, devices, and infrastructure. Instant notifications of escalations. Review all session activity and details from cohesive logs. Enable device fingerprinting and gain network topology insights. Seamlessly connect to your existing infrastructure. Unify connectivity and control from campus to cloud. Organizations can use Lumeus to monitor and detect escalations using AI; segment traffic to prevent lateral movement; and secure user access by extending MFA and zero trust to network infrastructure all with one unified management plane. Lumeus has a cloud management portal that connects to your infrastructure via API. -
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IONOS Cloud Managed Kubernetes is a platform designed to orchestrate containerized applications through a fully automated Kubernetes environment that simplifies deployment, scaling, and management of container workloads. It enables users to quickly create and manage Kubernetes clusters and node pools without handling the complexity of the underlying infrastructure. It supports the automated setup of clusters on virtual servers and allows developers to configure hardware properties such as CPU type, number of CPUs per node, RAM, storage size, and storage performance to match specific workload requirements. It is built for distributed production environments and provides integrated persistent storage so that both stateless applications and stateful services can run reliably. Automatic scaling adjusts resources up or down depending on demand, maintaining consistent performance and availability during traffic spikes while preventing unnecessary overprovisioning.Starting Price: $0.05 per hour
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Straiker
Straiker
Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows. -
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Falcon Cloud Workload Protection
CrowdStrike
Falcon Cloud Workload Protection provides complete visibility into workload and container events and instance metadata enabling faster and more accurate detection, response, threat hunting and investigation, to ensure that nothing goes unseen in your cloud environment. Falcon Cloud Workload Protection secures your entire cloud-native stack, on any cloud, across all workloads, containers and Kubernetes applications. Automate security and detect and stop suspicious activity, zero-day attacks, risky behavior to stay ahead of threats and reduce the attack surface. Falcon Cloud Workload Protection key integrations support continuous integration/continuous delivery (CI/CD) workflows allowing you to secure workloads at the speed of DevOps without sacrificing performance -
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Rancher
Rancher Labs
From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads. From datacenter to cloud to edge, Rancher's open source software lets you run Kubernetes everywhere. Compare Rancher with other leading Kubernetes management platforms in how they deliver. You don’t need to figure Kubernetes out all on your own. Rancher is open source software, with an enormous community of users. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. When running Kubernetes workloads in mission-critical environments, our community knows that they can turn to us for world-class support. -
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HashiCorp Vault
HashiCorp
Secure, store and tightly control access to tokens, passwords, certificates, encryption keys for protecting secrets and other sensitive data using a UI, CLI, or HTTP API. Secure applications and systems with machine identity and automate credential issuance, rotation, and more. Enable attestation of application and workload identity, using Vault as the trusted authority. Many organizations have credentials hard coded in source code, littered throughout configuration files and configuration management tools, and stored in plaintext in version control, wikis, and shared volumes. Safeguarding and ensuring that a credentials isn’t leaked, or in the likelihood it is, that the organization can quickly revoke access and remediate, is a complex problem to solve. -
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Trend Micro Deep Security
Trend Micro
Get streamlined with a complete set of workload security capabilities and protect your cloud-native applications, platforms, and data in any environment with a single agent. Thanks to our strong API integration with Azure and AWS, Deep Security works seamlessly in the cloud. Protect your sensitive enterprise workloads without the need to set up and maintain your own security infrastructure. Accelerate and maintain compliance for your hybrid and multi-cloud environments. Although AWS and Azure have many compliance certifications, you are still responsible for securing the workloads you put in the cloud. Secure servers across the data center and cloud with a single security product. Remove the need to worry about product updates, hosting, or database management. Quick Start AWS CloudFormation templates available for NIST and AWS Marketplace. Host-based security controls that can be deployed automatically, even while auto-scaling. -
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Fasoo AI-R DLP
Fasoo AI
Fasoo AI-R DLP is an advanced data protection solution that safeguards sensitive information from being exposed through generative AI platforms. Built to meet the growing challenges of AI adoption in the workplace, it monitors user interactions in real time and blocks attempts to share confidential data through AI prompts. This solution uses intelligent pattern recognition and policy-based controls to enforce security across departments, user roles, and devices. It gives organizations the flexibility to customize policies and restrict risky AI use while still enabling productivity. With support for Remote Browser Isolation (RBI), Fasoo AI-R DLP creates a secure environment for AI interactions, ensuring sensitive content stays protected within corporate boundaries. Ideal for companies adopting generative AI tools at scale, Fasoo AI-R DLP provides deep visibility into user activity with detailed logs and alerting mechanisms. -
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mogenius
mogenius
mogenius combines visibility, observability, and automation in a single platform for comprehensive Kubernetes control. Connect and visualize your Kubernetes clusters and workloads. Provide visibility for the entire team. Identify misconfigurations across your workloads. Take action directly within the mogenius platform. Automate your K8s operations with service catalogs, developer self-service, and ephemeral environments. Leverage developer self-service to simplify deployments for your developers. Optimize resource allocation and avoid configuration drift through standardized and automated workflows. Eliminate duplicate work and encourage reusability with service catalogs. Get full visibility into your current Kubernetes setup. Deploy a cloud-agnostic Kubernetes operator to receive a complete overview of what’s going on across your clusters and workloads. Provide developers with local and ephemeral testing environments in a few clicks that mirror your production setup.Starting Price: $350 per month -
46
Kubermatic Kubernetes Platform
Kubermatic
Kubermatic Kubernetes Platform (KKP) helps enterprises successfully drive digital transformation by automating their cloud operations anywhere. KKP enables operations and DevOps teams to centrally manage VMs and containerized workloads across hybrid-cloud, multi-cloud, and edge environments with an intuitive self-service developer and operations portal. Kubermatic Kubernetes Platform is open source. Automate operations of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments with unparalleled density and resilience. Setup and run your multicloud self service Kubernetes platform with the shortest time to market. Empower your developers and operations team to deploy their clusters in less than three minutes on any infrastructure. Centrally manage your workloads from a single dashboard with a consistent experience from cloud to on-prem to edge. Manage your cloud native stack at scale with enterprise level governance. -
47
Oracle Bare Metal Servers
Oracle
Oracle bare metal servers provide customers with isolation, visibility, and control with a dedicated server. The servers support applications that require high core counts, large amounts of memory, and high bandwidth - scaling up to 128 cores (the largest in the industry), 2 TB of RAM, and up to 1 PB of block storage. Customers can build cloud environments in Oracle bare metal servers with significant performance improvements over other public clouds and on-premises data centers. The E4 family of compute instances includes the industry’s largest bare metal option, with 128 OCPUs and 2TB of memory. Most enterprise applications can be run on a single AMD-based compute instance. Bare metal servers enable customers to run high performance, latency-sensitive, specialized, and traditional workloads directly on dedicated server hardware—just as they would on-premises. Bare metal instances are ideal for workloads that need to run in nonvirtualized environments. -
48
Zerostand
Zerostand
Zerostand is a self-hosted privileged access management platform for security and IT teams managing access to servers, databases, web consoles and workload identities. It grants short-lived, policy-checked access to people and services, with approval chains, configurable access windows, ticket checks and MFA. The platform brokers supported SSH, RDP, database and web sessions, and provides a vault for accounts that still require passwords, with scheduled rotation and verification. Workload identity integrations let services authenticate through Kubernetes, AWS, Azure, Google Cloud or OIDC. Administrators can discover accounts, run recertification campaigns and export audit evidence. Zerostand runs as containers on infrastructure controlled by the customer, either on premises or in the customer's cloud. Users sign in through supported OIDC identity providers; specific capabilities vary by target system. -
49
GPT Guard
Protecto
Unlock and freely use your data for AI and data analytics while safeguarding security and meeting privacy regulations. Generate different text formats such as customer emails, summaries, meeting notes, contracts etc., securely and privately. Analyze sensitive data such as customer surveys, support tickets, and employee feedback without sending personal data to LLMs. Get answers to your questions, improving your productivity and reducing your workload without sacrificing security and privacy.Starting Price: $8 per user per month -
50
Armor Cloud
Armor
Turnkey, secure, and compliant infrastructure for mission-critical data and sensitive workloads. With built-in security & compliance controls, 24/7 threat detection, and response services included, you can rest easy knowing that your sensitive data and workloads are being fully protected and managed by experts. The Armor Cloud ensures security isn’t negatively impacting performance and reliability. Armor’s XDR+SOC service is the backbone to our cloud capability so if you leverage Armor Cloud you also have the same experience for your risk and security posture for the rest of your IT estate. Armor Cloud controls map to compliance mandates such as HIPAA, HITRUST, PCI, and GDPR. Customers who host their data and workloads on the Armor Cloud benefit from reduced regulatory scope, simplified audit processes, and lowered management costs. Armor’s solution address controls across domains such as physical security, data backup, network security, access control, incident response, etc.
