AppSecNews

AI Security

AI and LLM Security

Test and defend models, prompts, agents and the infrastructure around them.

45 tools profiled

How it differs Tests and guards models, LLM applications and agents against prompt injection, jailbreaks and data leakage. Scanning an AI app's own code is still SAST or SCA.

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15 tools match

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  • Adversarial Robustness Toolbox (ART)

    Linux Foundation AI & Data

    AI Security

    Python library implementing adversarial attacks and defenses against machine learning models, covering evasion, poisoning, extraction and inference.

    Open source
    Established

  • Agentic Radar

    SplxAI

    AI Security

    Open source CLI that statically analyzes agentic AI codebases and produces a visual map of agents, their tools and the risks in that wiring.

    Open source
    Emerging

  • Arize AI

    Arize AI

    AI Security

    LLM and ML observability platform that captures application traces and runs evaluations over them, with an open source tracing and evaluation component.

    Open source and commercial
    Established

  • Arthur AI

    Arthur

    AI Security

    Model monitoring and guardrail platform that evaluates LLM inputs and outputs inline for injection, sensitive data and unsupported claims.

    Open source and commercial
    Growing

  • DeepTeam

    Confident AI

    AI Security

    Open source Python framework that generates adversarial prompts against an LLM application and scores the responses for vulnerabilities such as bias, PII leakage and excessive agency.

    Open source
    Growing

  • Future AGI

    Future AGI

    AI Security

    Evaluation and observability platform for LLM applications, combining offline scoring of model output with runtime checks on inputs and responses.

    Freemium
    Emerging

  • FuzzyAI

    CyberArk

    AI Security

    Open source fuzzer that applies a catalog of published jailbreak and prompt injection techniques against local or hosted language model endpoints.

    Open source
    Growing

  • Galileo AI

    Galileo

    AI Security

    Evaluation and observability platform for LLM and agent applications, with purpose built scoring models and an inline guardrail path.

    Commercial
    Growing

  • Adversarial Robustness Toolbox (ART)

    Linux Foundation AI & Data

    Python library implementing adversarial attacks and defenses against machine learning models, covering evasion, poisoning, extraction and inference.

    Open source Established
    AI Security

  • Agentic Radar

    SplxAI

    Open source CLI that statically analyzes agentic AI codebases and produces a visual map of agents, their tools and the risks in that wiring.

    Open source Emerging
    AI Security

  • Arize AI

    Arize AI

    LLM and ML observability platform that captures application traces and runs evaluations over them, with an open source tracing and evaluation component.

    Open source and commercial Established
    AI Security

  • Arthur AI

    Arthur

    Model monitoring and guardrail platform that evaluates LLM inputs and outputs inline for injection, sensitive data and unsupported claims.

    Open source and commercial Growing
    AI Security

  • DeepTeam

    Confident AI

    Open source Python framework that generates adversarial prompts against an LLM application and scores the responses for vulnerabilities such as bias, PII leakage and excessive agency.

    Open source Growing
    AI Security

  • Future AGI

    Future AGI

    Evaluation and observability platform for LLM applications, combining offline scoring of model output with runtime checks on inputs and responses.

    Freemium Emerging
    AI Security

  • FuzzyAI

    CyberArk

    Open source fuzzer that applies a catalog of published jailbreak and prompt injection techniques against local or hosted language model endpoints.

    Open source Growing
    AI Security

  • Galileo AI

    Galileo

    Evaluation and observability platform for LLM and agent applications, with purpose built scoring models and an inline guardrail path.

    Commercial Growing
    AI Security

  • Promptfoo

    Promptfoo

    AI Security

    Config driven test and red team harness for LLM applications, running assertions and generated adversarial probes against prompts, models and agents.

    Open source and commercial
    Growing

  • Protect AI Guardian

    Protect AI

    AI Security

    Scanning gateway for machine learning model files that inspects serialized artifacts for executable payloads and enforces policy on what may be pulled.

    Commercial
    Growing

  • Protecto

    Protecto

    AI Security

    Data privacy layer for AI pipelines that identifies sensitive fields in text and substitutes tokens so models never see the underlying values.

    Commercial
    Emerging

  • PyRIT

    Microsoft

    AI Security

    Python framework from Microsoft for automating adversarial probing of generative AI systems, with composable attack, transformation and scoring parts.

    Open source
    Growing

  • Rebuff

    Protect AI

    AI Security

    Open source prompt injection detector that layers heuristics, a classifier prompt, a vector store of known attacks and canary tokens.

    Open source
    Emerging

  • Vectara

    Vectara

    AI Security

    Managed retrieval augmented generation platform whose security relevance is grounding, citation and a hallucination evaluation model applied to responses.

    Commercial
    Established

  • WhyLabs

    WhyLabs

    AI Security

    Observability platform for ML and LLM systems built on lightweight statistical profiles, with drift monitoring and text quality and safety metrics.

    Open source and commercial
    Established

  • Promptfoo

    Promptfoo

    Config driven test and red team harness for LLM applications, running assertions and generated adversarial probes against prompts, models and agents.

    Open source and commercial Growing
    AI Security

  • Protect AI Guardian

    Protect AI

    Scanning gateway for machine learning model files that inspects serialized artifacts for executable payloads and enforces policy on what may be pulled.

    Commercial Growing
    AI Security

  • Protecto

    Protecto

    Data privacy layer for AI pipelines that identifies sensitive fields in text and substitutes tokens so models never see the underlying values.

    Commercial Emerging
    AI Security

  • PyRIT

    Microsoft

    Python framework from Microsoft for automating adversarial probing of generative AI systems, with composable attack, transformation and scoring parts.

    Open source Growing
    AI Security

  • Rebuff

    Protect AI

    Open source prompt injection detector that layers heuristics, a classifier prompt, a vector store of known attacks and canary tokens.

    Open source Emerging
    AI Security

  • Vectara

    Vectara

    Managed retrieval augmented generation platform whose security relevance is grounding, citation and a hallucination evaluation model applied to responses.

    Commercial Established
    AI Security

  • WhyLabs

    WhyLabs

    Observability platform for ML and LLM systems built on lightweight statistical profiles, with drift monitoring and text quality and safety metrics.

    Open source and commercial Established
    AI Security
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