ASAI Security ResearchIndependent public-source research
Public reviewread only

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

Showing 21–40 of 70 evidence records

Clear all filters
Palo Alto Networks Prisma AIRSGenerative AI application securitySource checkedStrong public support for this requirement

Palo Alto Networks claims Prisma AIRS red teams AI agents and applications and provides runtime safeguards against manipulation, data exposure, and unsafe actions.

Monitor AI behavior. Enforce real-time safeguards to prevent manipulation, data exposure, and unsafe actions during live AI interactions.
Related framework references (5)
Cisco AI DefenseGenerative AI application securitySource checkedStrong public support for this requirement

Cisco claims AI Defense validates AI models and applications and protects production AI applications with network-embedded guardrails.

Protect production AI applications with guardrails embedded in the network.
Related framework references (5)
Microsoft Purview DSPM for AIGenerative AI application securitySource checkedLimited public support for this requirement

Microsoft says Purview Insider Risk Management has a risky AI usage policy template for prompt injection and protected-material access signals.

Use the Risky AI usage policy template to detect risky usage that includes prompt injection attacks and accessing protected materials.
Related framework references (5)
Noma SecurityGenerative AI application securitySource checkedStrong public support for this requirement

Noma claims it can discover, test, and protect custom AI applications and agents through application programming interfaces (APIs), SDKs, and centralized gateway enforcement.

Discover, test, and protect custom-built AI applications and agents through our REST API, native Python and JavaScript SDKs for frameworks like LangChain and CrewAI, or our centralized gateway for unified policy enforcement.
Related framework references (5)
Netskope AI SecurityGenerative AI application securitySource checkedStrong public support for this requirement

Netskope claims AI Gateway secures AI-powered applications as data risk shifts to autonomous app-to-large language model (LLM) application programming interface (API) calls.

As you build AI-powered applications, data risk shifts from human prompts to autonomous app-to-LLM API calls.
Related framework references (5)
ElvexGenerative AI application securitySource checkedLimited public support for this requirement

Elvex claims teams can build, deploy, and control AI agents across the business with the platform secure by design.

Build, deploy, and control AI agents across your business with elvex.
Related framework references (5)
Prompt Security / SentinelOneGenerative AI application securitySource checkedStrong public support for this requirement

Prompt Security claims it blocks prompt injections, data leaks, and toxic large language model (LLM) content for homegrown generative AI apps.

Block prompt injections, data leaks and toxic LLM content
Related framework references (5)
AIM Security / Cato NetworksGenerative AI application securitySource checkedStrong public support for this requirement

AIM (Cato) claims it secures private AI applications in runtime and detects runtime AI attacks and compliance violations.

Homegrown AI applications and AI agents are attractive targets for internal and external attacks—an emerging threat vector that requires dedicated defenses. Using proprietary models specifically trained to detect all types of runtime AI attacks and compliance violations, IT teams can support enterprise-scale secure delivery of AI apps and agents.
Related framework references (5)
WitnessAIGenerative AI application securitySource checkedStrong public support for this requirement

WitnessAI claims it blocks prompt injection and jailbreak attempts with bidirectional runtime defense and filters outputs before they reach users or agents.

Block prompt injection and jailbreak attempts with bidirectional runtime defense
Related framework references (5)
Lasso SecurityGenerative AI application securitySource checkedStrong public support for this requirement

Lasso Security claims it enforces policies inline at the proxy, application programming interface (API), or AI Gateway layer with runtime protection that adapts as the application evolves.

Enforce policies inline at the proxy, API, or AI Gateway layer with runtime protection that adapts as your application evolves.
Related framework references (5)
ZenityGenerative AI application securitySource checkedLimited public support for this requirement

Zenity claims it monitors step-level agent execution, correlates behavior with context, and enforces inline controls to stop unsafe actions.

Monitor step-level agent execution, correlate behavior with context, and enforce inline controls to stop unsafe actions
Related framework references (5)
Nightfall AIGenerative AI application securitySource checkedLimited public support for this requirement

Nightfall claims AI-agent security controls that intercept and block indirect prompt-injection driven tool calls.

Indirect prompt injection via email triggers Claude agent tool calls > Nightfall's hooks intercept and block before execution.
Related framework references (5)