Best IT Security Software for Helm
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Compare the Top IT Security Software that integrates with Helm as of May 2026
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This a list of IT Security software that integrates with Helm. Use the filters on the left to add additional filters for products that have integrations with Helm. View the products that work with Helm in the table below.
What is IT Security Software for Helm?
IT security software is designed to protect information technology (IT) systems, networks, and data from cyber threats, such as malware, hacking, and unauthorized access. These tools provide various features such as antivirus protection, firewalls, encryption, intrusion detection and prevention systems, and vulnerability management to ensure the integrity, confidentiality, and availability of sensitive information. IT security software helps organizations detect, prevent, and respond to security incidents, mitigate risks, and ensure compliance with industry regulations. It is critical for businesses and individuals to safeguard against cyberattacks, data breaches, and other security vulnerabilities. Compare and read user reviews of the best IT Security software for Helm currently available using the table below. This list is updated regularly.
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Cequence Security
Cequence Security
Start analyzing and protecting your APIs with passive, inline or API-based integration with any existing network component – API gateway, proxy, CDN or ingress controller. Predefined policies, fine-tuned using threat patterns observed in protecting billions of API transactions per day delivers unmatched, out-of-the-box protection. A rich user interface and an open, API-based architecture enables integration with threat intelligence feeds, CI/CD framework tools, other security components, and SIEM/SOAR/XDR solutions. Patented ML-based analysis eliminates JavaScript and SDK integration pen-alties such as extended development cycles, slow page loads and forced mobile-app upgrades. ML-based analysis generates a unique Behavioral Fingerprint to determine malicious intent and continually tracks attackers as they retool. -
2
Traceable
Traceable
Meet the Industry’s Context-Aware API Security Platform Traceable identifies all of your APIs, and evaluates your API risk posture, stops API attacks that lead to incidents such as data exfiltration, and provides analytics for threat hunting and forensic research. With our solution, you can confidently discover, manage and secure all of your APIs, quickly deploy, and easily scale to meet the ongoing needs of your organization. If you’re planning on improving the data security posture in your APIs, Traceable would love the opportunity to discuss how we could help and share some of our lessons learned from working with enterprise customers like Canon, Informatica, Outreach, and many others.Starting Price: $0 -
3
Resurface
Resurface Labs
Resurface is a runtime API security solution. Detect and respond to API threats and risk in real-time with Resurface continuous API scanning. Purpose-built for API data, Resurface captures complete request and response payloads (including GraphQL) to instantly see threats and failures. Get alerts on data breaches for zero-day detection and response. Mapped to OWASP Top10, Resurface alerts on threats with complete data security patterns and behaviors. Resurface is self-hosted, all data is first-party, installed with a single Helm command. Resurface is the only API security solution engineered for deep inspection at scale. Handling millions of API calls, Resurface detects and alerts on active attacks. Machine learning models indicate anomalies and identify low-and-slow attack patterns.Starting Price: $9K/node/year -
4
Paralus
Paralus
Paralus is a free, open source tool that enables controlled, audited access to Kubernetes infrastructure. It provides just-in-time service account creation and user-level credential management, integrating seamlessly with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) systems. Paralus applies zero-trust security principles, ensuring secure access to Kubernetes clusters by generating, maintaining, and revoking access configurations across clusters, projects, and namespaces. It offers both a browser-based graphical user interface and command-line interface tools for managing kubeconfigs directly from the terminal. Additionally, Paralus includes comprehensive auditing tools that provide detailed logging of activities and resource access, facilitating real-time and historical tracking. Installation is straightforward, with Helm charts available for deployment across various environments, including major cloud providers and on-premises setups.Starting Price: Free -
5
Grafana Loki
Grafana
Grafana Loki is an open source log aggregation system designed to efficiently collect, store, and query logs from various sources. Unlike traditional logging systems, Loki is optimized for cloud-native applications, making it a great fit for modern, containerized environments like Kubernetes. It works seamlessly with Grafana for visualizing log data alongside metrics and traces, providing a unified observability platform. Loki indexes only metadata, such as labels and timestamps, which reduces the amount of data stored and improves query performance compared to more traditional log management systems. This lightweight approach allows for easier scalability and cost-effective storage. Loki also supports log aggregation from various sources, including Syslog, application logs, and container logs, and integrates with other observability tools to provide a complete view of system performance.Starting Price: Free -
6
NudgeBee
NudgeBee
NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.Starting Price: $150 per month -
7
Shoreline
Shoreline.io
Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. -
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Curity
Curity
The Curity identity server is a standards-based identity and API security platform designed to provide robust authentication and authorization for digital services. It combines identity and API security, enabling scalable customer identity and access management to accelerate digital transformation, growth, and customer loyalty. It offers a range of features, including multi-factor authentication, user journey orchestration, decentralized identity, and secure access management. It supports various identity-related standards such as OAuth, OpenID Connect, and SCIM, ensuring interoperability and compliance with industry protocols. Curity's architecture is built on the principle of separation of concerns, enhancing security, flexibility, and scalability. It provides advanced configuration management with transaction-based changes, rollbacks, and backups, accessible through a web UI, CLI, RESTCONF API, and XML config files. -
9
NVIDIA Morpheus
NVIDIA
NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. Morpheus incorporates AI to reduce the time and cost associated with identifying, capturing, and acting on threats, bringing a new level of security to the data center, cloud, and edge. Morpheus also extends human analysts’ capabilities with generative AI by automating real-time analysis and responses, producing synthetic data to train AI models that identify risks accurately and run what-if scenarios. Morpheus is available as open-source software on GitHub for developers interested in using the latest pre-release features and who want to build from source. Get unlimited usage on all clouds, access to NVIDIA AI experts, and long-term support for production deployments with a purchase of NVIDIA AI Enterprise. -
10
Snapper
Snapper
Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring.
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