Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
Operant AI claims it detects and prioritizes AI-specific risks including prompt injection, large language model (LLM) poisoning, model theft, and sensitive data leakage.
Detect and prioritize AI-specific risks like prompt injection, LLM poisoning, model theft, and sensitive data leakage.
Related framework references (5)
Apex (Tenable) claims it detects and stops AI-specific attacks including prompt injection and jailbreak attempts.
Detect and stop AI-specific attacks such as prompt injection and jailbreak attempts
Related framework references (5)
JetStream claims it systematizes how agentic systems are assembled by introducing intent, structure, and risk context early.
systematize how agentic systems are actually assembled. Go beyond simple AI registries to introduce intent, structure, and risk context early
Related framework references (5)
Singulr claims Runtime Control enforces against unapproved AI services, redacts PII and PHI, controls prompt injection, and bounds agent permissions across browser, endpoint, and agentic execution paths.
Enforce against unapproved AI services, redact PII and PHI before exposure, control prompt injection, and bound agent permissions at the browser, the endpoint, and across agentic execution paths. Singulr Agent Pulse™ delivers runtime control for the agentic enterprise: agent discovery, topology mapping, control-drift metrics, and MCP server vulnerability scanning.
Related framework references (5)
Onyx provides application programming interfaces (APIs), Model Context Protocol (MCP), connectors, and custom agents for building generative AI workflows, but does not publicly claim independent large language model (LLM) application security testing.
Full REST API, an MCP server, and a connector framework for custom data sources.
Related framework references (5)
CrowdStrike claims it can detect and stop direct and indirect prompt injection, unsafe content, and attempted model manipulation in real time.
Detect and stop direct and indirect prompt injection, unsafe content, and attempted model manipulation in real time.
Related framework references (5)
HiddenLayer claims AI Runtime Security monitors, detects, and responds to adversarial threats on agentic and generative AI applications.
Firewall to monitor, detect, and respond real-time to adversarial threats on agentic and generative AI applications.
Related framework references (5)
Aurascape claims it helps organizations securely build and operate AI agents and applications with controls from development to runtime.
We help teams reduce risk across the AI lifecycle with controls that protect data, govern behavior, and strengthen security from development to runtime.
Related framework references (5)
Cyberhaven claims prompt- and response-level runtime guardrails with block, redirect, and coaching controls.
Enforces runtime guardrails at the prompt and response level, blocking high-risk data movement, redirecting users to sanctioned tools, and coaching employees with plain-English policy explanations.
Related framework references (5)
Knostic claims OpenAnt provides large language model (LLM)-powered vulnerability discovery for CI/CD pipelines with two-stage verification.
LLM-powered vulnerability discovery for CI/CD pipelines. Two-stage verification: Stage 1 detects, Stage 2 attacks - what survives is real
Related framework references (5)
Island claims browser-level controls combat prompt injection and risky extensions.
Browser-level controls combat prompt injection and risky extensions.
Related framework references (5)
Aembit claims policy-based, identity-driven controls for AI agents accessing large language models (LLMs), application programming interfaces (APIs), and tools.
Streamline and secure access from AI agents to leading LLMs like OpenAI, Claude, and Gemini, APIs, and tools with policy-based, identity-driven controls.
Related framework references (5)
Wiz claims it detects and responds to AI runtime threats from data exposure to malicious agent actions.
Detect and respond to AI runtime threats, from data exposure to malicious agent actions.
Related framework references (5)
Varonis claims Atlas secures everything built and run with AI across the entire AI data lifecycle.
The complete AI security platform that allows you to secure everything you build and run with AI across the entire AI data lifecycle.
Related framework references (5)
Pangea claims Prompt Guard detects and stops direct and indirect prompt injection attacks and jailbreak attempts in AI applications.
Pangea Prompt Guard detects and stops direct and indirect prompt injection attacks and jailbreak attempts in AI applications.
Related framework references (5)
F5 claims AI Security Platform protects AI systems and application programming interfaces (APIs) against prompt injection, excessive agency, and data leakage.
Protect AI systems and APIs against prompt injection, excessive agency, and data leakage with industry-leading efficacy
Related framework references (5)
Iterate.ai claims AgentWatch provides configurable guardrails and policy modes for AI application traffic.
Configurable guardrails and policy modes aligned to common frameworks
Related framework references (5)
Credo AI claims runtime observability and trace-level policy enforcement for governed AI systems.
Runtime observability with trace-level policy enforcement
Related framework references (5)
Holistic AI claims runtime guardrails across models, agents, application programming interfaces (APIs), workflows, and generative AI applications.
Deploy runtime guardrails across models, agents, APIs and workflows.
Related framework references (5)