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
Harness AI Security materials reviewed did not provide a public claim for workforce discovery of unmanaged AI tools, accounts, users, and usage.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for AI-feature discovery across the enterprise business-application environment.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims continuous monitoring of AI application programming interface (API) traffic and an inventory of large language model (LLM), Model Context Protocol (MCP), AI application programming interface (API), and generative AI assets.
Automatically monitor all AI API traffic
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for blocking, coaching, redirecting, or containing unapproved AI use.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims inspection of AI prompts and responses for PII and other sensitive data.
inspect AI prompts and responses for sensitive data types
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for session-level browser or software as a service (SaaS) controls for employee AI use.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims real-time detection and blocking of prompt-injection attacks against running AI applications.
Detect and block prompt injection attacks in real time
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for AI inventory, risk, approval, exception, and compliance workflows.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims dynamic predeployment testing of AI-native applications for prompt injection, data exfiltration, and other AI-specific threats.
Dynamically test your AI-native applications for AI-specific threats
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for model and AI-artifact supply-chain inspection.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims runtime AI guardrail policies and blocking for protected AI applications.
Create policies to enforce best practices for AI usage
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for runtime visibility into agent decisions, actions, tools, and outcomes.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for authorization and control across agent, tool, Model Context Protocol (MCP), or connector handoffs.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for non-human identity and machine-credential lifecycle controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for agent registration, delegated authorization, scoped access, and revocation.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for coding-agent, integrated development environment (IDE), CLI, workstation, tool, and package-action governance.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for AI usage attribution, budgeting, anomaly detection, and cost controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness AI Security materials reviewed did not provide a public claim for a public per-user, per-app, usage-based, or enterprise-platform commercial model.
No quoted source text is recorded for this claim.
Related framework references (2)
Harness positions AI Security as an external AI discovery, testing, and protection layer built on runtime application programming interface (API) visibility.
built on our industry-leading API security platform
Related framework references (5)