All use cases
    Use case

    AI runtime & agent security

    Defend LLMs and agents at runtime: prompts, tools, outputs.

    Why this fits, Runtime defence for AI applications and autonomous agents.

    122 vendors for this

    Air Security logoA
    Air Security
    AI Runtime & Agent Security
    3 products

    AIR secures every AI add-on before it becomes part of your enterprise. From discovery and continuous vetting to governance and runtime protection, AIR enables organizations to adopt AI safely. Air provides four solutions as a complete agentic security platform: - Air Control - Governance and control of agents across the enterprise, shadow ai discovery, posture management of agents configuration and connectivity - Air Defend - Runtime protection of agents behavior in real time. Visibility of every agent prompt and action, detection and response to dangerous and malicious behavior, runtime guardrails for agent behavior in realtime - Air Filter - Governing all agent add-ons which exist in the enterprise, continuously vetting of them, and detect and response to supply chain incidents. - Air Marketplace - Secured-by-default marketplace of pre-vetted add-ons, both external from open source and internally built, as a single source of truth for all enterprise usage

    Real-time prompt injection and jailbreak detection for LLM requests before they reach models used in agentic applications.
    Archestra.AI logoA
    Archestra.AI
    AI Runtime & Agent Security
    2 products

    Archestra.AI is an open source security and governance layer positioned between large language models, AI agents, and enterprise data systems. The platform enforces a deterministic control layer so that access rules for agents stay fixed and predictable, independent of model judgment or prompt wording. It includes a private registry for Model Context Protocol (MCP) servers that governs which tools agents can reach, a retrieval augmented generation stack that runs inside the customer's own infrastructure, and a Kubernetes native orchestrator for multi-team deployments. The product is self-hostable and targets organizations connecting AI agents to systems such as HR platforms, email, and internal communication tools. Archestra.AI is a London based, early stage, seed funded company.

    Private MCP server registry+5
    Burgus Security logoB
    Burgus Security
    SAST
    2 products

    I could not verify that a distinct vendor named Burgus Security has a documented Application Security product from the provided results. The only application-security-related result tied to the name is a directory-style entry that appears to refer to general application security services rather than a clearly described vendor platform. Based on the evidence available, Burgus Security cannot be reliably profiled as an AppSec product vendor, so the safest characterization is that its AppSec positioning is unconfirmed. If the intent was a different vendor name, the profile should be rebuilt from source documentation for that vendor.

    Inspects LLM API traffic in production to enforce security checkpoints on prompts, responses, and agent-to-model exchanges for agentic applications.
    CalypsoAI (F5) logoC
    CalypsoAI (F5)
    AI Runtime & Agent Security
    4 products

    CalypsoAI, acquired by F5 in 2025 and rebranded as F5 AI Guardrails (formerly Inference Defend), delivers runtime security for AI models, agents, and applications. It combines agentic red-teaming with swarms generating 10,000+ new attack prompts monthly and real-time inference-layer protection against prompt injection, jailbreaks, data exfiltration, and denial-of-service. The platform includes the CalypsoAI Security Index and Agentic Warfare Resilience leaderboards for model benchmarking, plus policy enforcement for GDPR, HIPAA, and EU AI Act compliance. Best for enterprises deploying production AI copilots, RAG apps, and autonomous agents needing continuous vulnerability testing and defense integrated with F5 ADSP.

    Runtime prompt injection blocking+8
    Cequence Security logoC
    Cequence Security
    API Security
    4 products

    Cequence Security sells API Security as part of its Unified API Protection platform, focusing on runtime discovery, inventory, compliance checks, and attack detection for internal, external, third-party, managed, unmanaged, shadow, and zombie APIs. It integrates with API gateways and reverse proxies to inspect live traffic and evaluate API usage and risk without adding client-side instrumentation. The product is best suited for enterprises that need continuous API attack-surface visibility and runtime protection across SaaS, on-premises, or hybrid environments. Cequence also offers adjacent bot management and WAAP capabilities, but its API Security scope centers on discovery, conformance, and blocking API abuse.

    Complete API visibility and monitoring+10
    Darkhunt logoD
    Darkhunt
    AI Runtime & Agent Security
    1 product

    Darkhunt is an AI security company. We supervise AI agents in production: every action checked, every decision logged, dangerous actions stopped before they run. That lets security teams approve agents with real access to company data without putting a human behind every step. Darkhunt helps security teams discover, test, monitor and protect AI agents through continuous red teaming, observability and runtime protection, identifying risks including prompt injection, manipulation and unsafe agent behaviour. We see every action an agent takes, the tools it calls and the data it touches. Each action is checked against your policies before it runs. Normal actions go through. Dangerous ones are blocked. Your team only reviews the exceptions. Every decision is logged: what the agent did, what data it accessed, and why it was allowed or stopped. That gives you evidence for audits, incident investigations and GDPR, NIS2, DORA and EU AI Act reviews.

    runtime guardrailsGuardian Agent+15
    General Analysis logoG
    General Analysis
    AI Runtime & Agent Security
    1 product

    General Analysis is a security platform for organizations that run AI agents and large language model systems in production. It discovers and inventories AI assets, including models, vector stores, MCP servers and agent workflows, by connecting to code repositories, LLM providers and cloud infrastructure, and scores each asset by risk. The platform runs automated red team simulations covering prompt injection, tool misuse, sensitive data retrieval and multi step exploit chains to find exploitable gaps before an incident occurs. It also deploys runtime guardrails that block threats and monitor for policy violations and performance drift. Buyers include enterprise security teams securing employee copilots, customer support agents and AI workflows in healthcare, legal and financial services.

    AI asset discovery & inventory+5
    JetStream Security logoJ
    JetStream Security
    AI Runtime & Agent Security
    1 product

    JetStream Security is a security-first AI governance platform that fits the AI Runtime & Agent Security category by governing live agent and LLM activity with identity-bound controls, runtime policy enforcement, and MCP oversight. Its public materials emphasize continuous discovery, blueprint-based control, and runtime governance for agents, tools, workflows, and model traffic rather than static AI inventory or posture scanning. It appears best suited for enterprises running production agentic systems that need to verify third-party MCP servers, restrict tool permissions, and trace every invocation to an accountable owner. Adjacent capabilities like AI spend tracking are present but secondary in this profile.

    AI visibility and discovery+11
    NeuralTrust logoN
    NeuralTrust
    AI Runtime & Agent Security
    5 products

    NeuralTrust is an AI security platform that discovers and protects autonomous AI agents, models, and tools across an enterprise. Its runtime layer inspects every request an agent makes to models, tools, MCP servers, and data before execution, blocking prompt injection, data leakage, and unauthorized API calls in real time. The platform combines an agent gateway that enforces unified policies across homegrown apps, SaaS tools, and platforms like ChatGPT, Gemini, and Copilot, an agent discovery and posture module that inventories deployed agents and workflows, and adversarial red teaming to surface model vulnerabilities before deployment. It is built for enterprise security and compliance teams and deploys as SaaS, on premises, or hybrid, keeping the data plane local for data sovereignty.

    Runtime agent protection+5
    Raven logoR
    Raven
    ASPM
    6 products

    Raven.io provides a runtime application security platform that runs inside cloud-deployed applications to detect and block malicious code execution as it happens, independent of whether a CVE exists. The platform includes application detection and response for forensic visibility down to libraries, functions and call paths, a runtime software composition analysis capability that uses reachability data to de-prioritize vulnerabilities, and a module for discovering and controlling AI agents operating inside application environments. It is aimed at enterprises running internet-facing applications on Kubernetes, containers and compute instances across AWS, GCP and Azure, supporting languages including Java, Python, JavaScript, Go, Ruby, PHP, C++ and .NET. Customers include organizations in regulated industries such as insurance and financial services.

    Runtime exploit prevention+5
    Tenet Security logoT
    Tenet Security
    AI Runtime & Agent Security
    2 products

    Tenet Security provides runtime protection for autonomous AI agents inside enterprises. Its platform, built around a technique it calls Agent-side Simulation, models an agent's likely next actions before they execute against live systems and can block actions judged risky before they occur, rather than alerting after the fact. It addresses threats specific to agentic AI, including unauthorized access, data exfiltration, agent manipulation and a technique the company calls Agentjacking, where malicious content hidden in emails, documents, logs or databases covertly alters agent behavior. The company was founded by former Cisco AI Defense researchers Barak Sternberg and Nevo Poran and emerged from stealth in 2026 with a six million dollar seed round.

    Agent-side action simulation+5
    Trent AI logoT
    Trent AI
    AI Runtime & Agent Security
    2 products

    Trent AI builds an AI-native security platform for organizations building or operating autonomous AI agents. The product uses a coordinated set of scanning, judgment, mitigation and evaluation agents to continuously assess code, infrastructure and AI agent runtime behavior, detecting risks such as prompt injection, tool misuse, unintended actions, data exfiltration and privilege escalation. It prioritizes findings by real-world exploitability, generates remediation fixes or prompts for developer tools, verifies that fixes are deployed, and maps controls to compliance frameworks such as SOC 2 and NIST. It targets AI-native startups without dedicated security staff and enterprise security teams seeking automation, and can be deployed in public cloud, a customer VPC, or on-premises using frontier, open-source or private AI models.

    Continuous code and infra scanning+5