Products

gsage is an on-premise Security Operations Center (SOC) assistant that integrates AI agents, structured tooling, and human oversight to enhance security teams' efficiency. By enabling monitoring, investigation, triage, and response within an organization's infrastructure, gsage eliminates the need to rely on third-party SaaS solutions, ensuring data remains secure and operations are auditable. Key Features and Functionality: - AI-Driven Orchestration: Utilizes AI agents with scoped tool access

Guardrail Technologies offers a comprehensive security platform designed to protect organizations from cyber threats by providing real-time monitoring, threat detection, and automated response capabilities. Their solutions are tailored to meet the needs of businesses seeking to enhance their cybersecurity posture through advanced technologies and proactive defense mechanisms. Key Features and Functionality: - Real-Time Monitoring: Continuously observes network activity to identify potential se

Cade is an AI-driven security assistant designed to streamline and enhance cybersecurity operations by integrating seamlessly into existing tools and workflows. It automates routine tasks, allowing security professionals to focus on complex challenges, thereby boosting productivity and reducing operational complexity. Key Features and Functionality: - Incident Response: Automates detection and initial handling of security incidents, providing timely alerts and suggested actions. - Cloud Securi

S21 VisionX is an advanced AI platform designed to assist investigators in the rapid and accurate categorization of Child Sexual Abuse Material (CSAM) and the identification of victims and suspects. Operating entirely offline within a secure environment, it automates the classification of CSAM media, generates detailed, court-ready descriptions, and supports the mental well-being of investigators by reducing exposure to harmful content. Key Features and Functionality: - Automated CSAM Detectio

SISA PRISM is a comprehensive AI security and governance platform designed to protect AI systems across various frameworks. It offers six interconnected modules—Discover, Strike, MLScanner, Secure, Observe, and Govern—that collectively address the entire AI security lifecycle, from asset discovery to regulatory compliance. Key Features and Functionality: - PrismDiscover: Identifies and catalogs AI assets, including models, agents, MCP servers, and API endpoints, ensuring a governance-ready inv

Operant AI is a comprehensive Runtime AI Application Defense Platform designed to actively protect every layer of live cloud and AI applications, from infrastructure to APIs. By integrating discovery, detection, and defense into a single platform, Operant AI secures the entire "cloud within the cloud," including all APIs, services, and identities beyond traditional firewalls. This proactive approach safeguards against critical runtime attacks such as data exfiltration, AI supply chain attacks, m

GuardAI is an advanced cybersecurity solution designed to protect organizations from evolving digital threats. Utilizing artificial intelligence and machine learning, it offers real-time threat detection, automated response mechanisms, and comprehensive security analytics. GuardAI's key features include continuous network monitoring, anomaly detection, and integration with existing security infrastructures. By proactively identifying and mitigating potential risks, GuardAI enhances an organizati

NeverTrust.ai is a network-layer AI security solution designed to protect organizations from emerging threats associated with artificial intelligence. As AI becomes integral to business operations, it introduces risks such as data leakage, prompt injection attacks, and autonomous agents acting unpredictably. NeverTrust.ai addresses these challenges by providing real-time monitoring and enforcement mechanisms that prevent sensitive information from being exposed, detect and block malicious inputs

Radware Agentic AI Protection discovers, monitors, and secures autonomous AI agents across an organization's ecosystem. It addresses critical visibility gaps and security risks introduced by agents that operate, adapt, and chain actions without direct human oversight. The solution provides real-time, behavioral-based detection against unique threats like prompt injection, goal hijacking, and memory poisoning. Additionally, it features continuous security posture management (AI-SPM) via a dynamic

Rockfort AI is an AI security platform designed for AI-native companies that need to become enterprise-ready fast. Enterprise buyers increasingly ask AI vendors difficult security and compliance questions: * How do you prevent prompt injection attacks? * Can your AI leak customer data? * Have you red teamed your LLM? * What controls protect sensitive information? * How do you monitor AI usage in production? * How do you prevent employees from exposing regulated data to AI chatbots? Many AI st

Clampd is a runtime firewall for AI agents, LLM applications, and MCP (Model Context Protocol) servers. Every tool call an agent makes - database queries, API requests, file access, shell commands, payment transactions - gets intercepted, classified, scored, and either signed or blocked before it reaches the downstream service. This addresses the core failure mode of agentic systems: a model can be socially engineered, prompt-injected, or simply hallucinate, but the security boundary lives outsi

DapplePot is an AI Agent Security and Observability platform that helps enterprises monitor, secure, and govern AI agents in production. As organizations deploy AI agents that can access data, use tools, execute workflows, and make autonomous decisions, traditional security and observability tools struggle to provide meaningful visibility into agent behavior and risk. DapplePot bridges this gap by delivering real-time monitoring, risk detection, and governance specifically designed for AI agent

Lynx is a unified control plane for Kubernetes-native AI agents. It sits in the path of every agent call — agent-to-agent, agent-to-tool, and agent-to-LLM — to authenticate, authorize, mediate, and audit each one. Lynx plugs into the tools enterprises already run, including their identity provider (EntraID, Okta) or via SPIFFE/SPIRE, and existing observability systems, and is built on open standards rather than proprietary lock-in.

LLM Capsule lets enterprises run LLM, RAG, and AI agent workflows on real business documents without losing the context models need. It preserves document structure, replaces business-specific content with structure-matched stand-ins before model execution, and reconstructs outputs with original business context. No manual rework.

Quint is the behavioral security platform for AI agents. As enterprises deploy autonomous coding agents like Claude Code, Cursor, GitHub Copilot, Windsurf, and Devin, security teams have zero visibility into what those agents actually do at runtime. The gap between what an agent claims and what the OS actually sees is where every AI agent breach lives. Existing AI security tools stop at the API gateway. Quint doesn't. A single action is never the signal. The sequence is. Quint intercepts every

Vector is an AI agent security gateway designed to monitor, control, and secure autonomous AI agents and MCP-based workflows in real time. It sits inline between AI agents and external systems, inspecting every action, tool call, and data request before execution. Vector evaluates intent, enforces policies, and prevents unauthorized actions such as data exfiltration, over-privileged tool access, and indirect prompt injection attacks. Built for modern agentic systems, Vector provides granular c

Armor is an AI security layer designed to protect LLM-powered applications, AI agents, and GenAI workflows from real-time threats. It detects and blocks prompt injection attacks, jailbreak attempts, and unsafe model behavior while preventing sensitive data leakage such as PII, PHI, and confidential business data. Armor operates at runtime, inspecting prompts, responses, and tool interactions before they reach users or external systems. Built for developers and security teams, Armor adds guardr

Proofpoint AI Security provides runtime inspection and enforcement for AI applications and agents. The product detects, alerts, and blocks threats across agent-to-tool and agent-to-LLM interactions and evaluates whether agent actions and behavior align with user intent throughout the full execution chain. Deployed at the infrastructure layer via eBPF, coverage is consistent across frameworks, LLM providers, and agent platforms without developer instrumentation.

Akto’s Agentic AI Security platform helps AI security teams to discover AI agents, run Redteaming, and enforce guardrails on MCPs and GenAI applications. Akto offers its Agentic AI Security capabilities through two purpose-built products, designed to secure both employee-facing and internally built AI systems: 1. Akto Atlas for Employees: Gain visibility into how employees use MCPs, AI agents, and AI tools across web, desktop, and endpoint devices. Detect developers spinning up MCP servers lo

DoYouNeed is a domain monitoring platform that helps businesses and developers stay on top of their web infrastructure.