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.
Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Mindgard claims inline runtime detection and enforcement for prompt injection, data leakage, and tool abuse.
inline detection and enforcement for prompt injection, data leakage, and tool abuse
Related framework references (5)
Enkrypt AI claims a runtime layer that approves, modifies, or blocks risky behavior across agents, tools, retrieval-augmented generation (RAG), and Model Context Protocol (MCP).
approves, modifies, or blocks risky behavior across agents, tools, RAG, and MCP
Related framework references (5)
Akto claims real-time AI guardrails across employee endpoints and agent-to-tool runtime paths.
Inline policy enforcement wherever AI is used - block, redact or warn in real time
Related framework references (5)
Okta claims context-aware authorization policies that limit compromised agents after prompt injection.
context-aware authorization policies
Related framework references (5)
CyberArk claims an identity enforcement point between AI agents and the tools they use.
an enforcement point between AI agents and the tools they use
Related framework references (5)
BigID claims AI guardrails, prompt protection, model and agent vulnerability detection, and anomalous-access monitoring.
Manage AI security controls and prompt protection.
Related framework references (5)
Obsidian claims execution-time guardrails blocking privilege escalation, excessive data access, and policy violations.
Detect and block high-risk agent actions at execution time
Related framework references (5)
Cloudflare claims real-time protection for public AI applications against prompt injection, data leaks, harmful content, and PII.
Protect your AI apps and APIs from prompt injection and data leaks in real-time.
Related framework references (5)
Orca claims continuous detection of AI misconfigurations, exposed models, vulnerable packages, sensitive data, identity and access management (IAM) risks, and malware in cloud AI environments.
covering network security, data protection, access controls, and IAM
Related framework references (5)
Backslash claims real-time endpoint detection and prevention of prompt injection, data exfiltration, privilege escalation, tool poisoning, and anomalous agent behavior.
detect and prevent data leakage, prompt injections, privilege escalations and drift
Related framework references (5)