• Grimly AI

  • Grimly AI is a security platform designed to protect your AI systems from adversarial prompts, jailbreaks and malicious inputs in real time. It acts as a safeguard for large language models, agents and AI-powered workflows.

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About Tool

Grimly AI addresses a growing challenge in AI deployment: the risk of prompt injection, model misuse and agent hijacking. With many organisations embedding large language models into critical workflows, any malicious prompt or cleverly crafted input can lead to data leaks, unwanted behaviour or compliance issues. Grimly places a protective layer between your frontend and the model, analysing incoming requests, blocking or sanitising dangerous content, and logging attempts for audits. For teams building AI agents, chatbots or LLM-driven automation, it offers peace of mind by shifting focus from reactive fixes to proactive defence.

Key Features

  • Prompt Injection Firewall: blocks known and emergent attacks before they reach your model.
  • Semantic Threat Detection: catches paraphrased or obfuscated exploit attempts via embedding similarity.
  • System Prompt Guard: protects your base instructions from being overridden or exposed.
  • Adaptive Rule Engine: customisable blocklists, rate limits, overrides per endpoint or organization.
  • Full Visibility & Logging: detailed audit trails of inputs, outputs, blocked attempts and metadata.
  • Seamless Integration: works with major LLMs (OpenAI, Anthropic, Mistral, etc.) and supports both cloud and on-premises deployment.

Pros:

  • Provides a robust layer of defence for AI systems, reducing risk of exploitation.
  • Customisable and flexible for different organisational policies and endpoints.
  • Audit-friendly great for compliance-heavy industries with logging and traceability.
  • Minimal disruption to existing AI workflows plug-in style implementation.

Cons:

  • As a specialised tool, it may require some technical setup for optimal integration.
  • Focuses on external/input sanitisation; internal logic errors or misuse beyond input may still need separate controls.
  • Cost and complexity may escalate for large-scale deployments or multi-agent environments.

Who is Using?

Grimly AI is used by AI development teams, enterprise security and compliance departments, developers building AI agents, SaaS platforms embedding LLMs, and organisations in regulated sectors (finance, healthcare, legal) that must ensure safe, auditable AI interactions.

Pricing

Grimly AI utilises a usage-based subscription model, typically based on token volume, endpoints protected and support level. Example entry pricing starts around US $59/month for a startup tier (e.g., up to 1 M tokens/month) with higher custom plans for enterprise usage.

What Makes It Unique?

What differentiates Grimly AI is its targeted focus on preventing prompt-based threats rather than general AI generation or analytics tools. It acts as a specialised firewall for LLMs, offering deep protection layers (semantic detection, system prompt guard, audit logs) that few tools combine in one package.

How We Rated It:

Ease of Use: ⭐⭐⭐⭐☆
Features: ⭐⭐⭐⭐☆
Value for Money: ⭐⭐⭐⭐☆

If you’re building or deploying AI systems especially ones with public inputs, autonomous agents or regulatory exposure Grimly AI is a compelling tool to add to your stack. It helps you shift from worrying about “what if the model is hacked” to confidently running agents with safeguards in place. While it won’t replace manual oversight or broader AI governance frameworks, it significantly raises the bar for safety and control in LLM usage.

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Grimly AI

About Tool

Grimly AI addresses a growing challenge in AI deployment: the risk of prompt injection, model misuse and agent hijacking. With many organisations embedding large language models into critical workflows, any malicious prompt or cleverly crafted input can lead to data leaks, unwanted behaviour or compliance issues. Grimly places a protective layer between your frontend and the model, analysing incoming requests, blocking or sanitising dangerous content, and logging attempts for audits. For teams building AI agents, chatbots or LLM-driven automation, it offers peace of mind by shifting focus from reactive fixes to proactive defence.

Key Features

  • Prompt Injection Firewall: blocks known and emergent attacks before they reach your model.
  • Semantic Threat Detection: catches paraphrased or obfuscated exploit attempts via embedding similarity.
  • System Prompt Guard: protects your base instructions from being overridden or exposed.
  • Adaptive Rule Engine: customisable blocklists, rate limits, overrides per endpoint or organization.
  • Full Visibility & Logging: detailed audit trails of inputs, outputs, blocked attempts and metadata.
  • Seamless Integration: works with major LLMs (OpenAI, Anthropic, Mistral, etc.) and supports both cloud and on-premises deployment.

Pros:

  • Provides a robust layer of defence for AI systems, reducing risk of exploitation.
  • Customisable and flexible for different organisational policies and endpoints.
  • Audit-friendly great for compliance-heavy industries with logging and traceability.
  • Minimal disruption to existing AI workflows plug-in style implementation.

Cons:

  • As a specialised tool, it may require some technical setup for optimal integration.
  • Focuses on external/input sanitisation; internal logic errors or misuse beyond input may still need separate controls.
  • Cost and complexity may escalate for large-scale deployments or multi-agent environments.

Who is Using?

Grimly AI is used by AI development teams, enterprise security and compliance departments, developers building AI agents, SaaS platforms embedding LLMs, and organisations in regulated sectors (finance, healthcare, legal) that must ensure safe, auditable AI interactions.

Pricing

Grimly AI utilises a usage-based subscription model, typically based on token volume, endpoints protected and support level. Example entry pricing starts around US $59/month for a startup tier (e.g., up to 1 M tokens/month) with higher custom plans for enterprise usage.

What Makes It Unique?

What differentiates Grimly AI is its targeted focus on preventing prompt-based threats rather than general AI generation or analytics tools. It acts as a specialised firewall for LLMs, offering deep protection layers (semantic detection, system prompt guard, audit logs) that few tools combine in one package.

How We Rated It:

Ease of Use: ⭐⭐⭐⭐☆
Features: ⭐⭐⭐⭐☆
Value for Money: ⭐⭐⭐⭐☆

If you’re building or deploying AI systems especially ones with public inputs, autonomous agents or regulatory exposure Grimly AI is a compelling tool to add to your stack. It helps you shift from worrying about “what if the model is hacked” to confidently running agents with safeguards in place. While it won’t replace manual oversight or broader AI governance frameworks, it significantly raises the bar for safety and control in LLM usage.

Product Image
Product Video

Grimly AI

About Tool

Grimly AI addresses a growing challenge in AI deployment: the risk of prompt injection, model misuse and agent hijacking. With many organisations embedding large language models into critical workflows, any malicious prompt or cleverly crafted input can lead to data leaks, unwanted behaviour or compliance issues. Grimly places a protective layer between your frontend and the model, analysing incoming requests, blocking or sanitising dangerous content, and logging attempts for audits. For teams building AI agents, chatbots or LLM-driven automation, it offers peace of mind by shifting focus from reactive fixes to proactive defence.

Key Features

  • Prompt Injection Firewall: blocks known and emergent attacks before they reach your model.
  • Semantic Threat Detection: catches paraphrased or obfuscated exploit attempts via embedding similarity.
  • System Prompt Guard: protects your base instructions from being overridden or exposed.
  • Adaptive Rule Engine: customisable blocklists, rate limits, overrides per endpoint or organization.
  • Full Visibility & Logging: detailed audit trails of inputs, outputs, blocked attempts and metadata.
  • Seamless Integration: works with major LLMs (OpenAI, Anthropic, Mistral, etc.) and supports both cloud and on-premises deployment.

Pros:

  • Provides a robust layer of defence for AI systems, reducing risk of exploitation.
  • Customisable and flexible for different organisational policies and endpoints.
  • Audit-friendly great for compliance-heavy industries with logging and traceability.
  • Minimal disruption to existing AI workflows plug-in style implementation.

Cons:

  • As a specialised tool, it may require some technical setup for optimal integration.
  • Focuses on external/input sanitisation; internal logic errors or misuse beyond input may still need separate controls.
  • Cost and complexity may escalate for large-scale deployments or multi-agent environments.

Who is Using?

Grimly AI is used by AI development teams, enterprise security and compliance departments, developers building AI agents, SaaS platforms embedding LLMs, and organisations in regulated sectors (finance, healthcare, legal) that must ensure safe, auditable AI interactions.

Pricing

Grimly AI utilises a usage-based subscription model, typically based on token volume, endpoints protected and support level. Example entry pricing starts around US $59/month for a startup tier (e.g., up to 1 M tokens/month) with higher custom plans for enterprise usage.

What Makes It Unique?

What differentiates Grimly AI is its targeted focus on preventing prompt-based threats rather than general AI generation or analytics tools. It acts as a specialised firewall for LLMs, offering deep protection layers (semantic detection, system prompt guard, audit logs) that few tools combine in one package.

How We Rated It:

Ease of Use: ⭐⭐⭐⭐☆
Features: ⭐⭐⭐⭐☆
Value for Money: ⭐⭐⭐⭐☆

If you’re building or deploying AI systems especially ones with public inputs, autonomous agents or regulatory exposure Grimly AI is a compelling tool to add to your stack. It helps you shift from worrying about “what if the model is hacked” to confidently running agents with safeguards in place. While it won’t replace manual oversight or broader AI governance frameworks, it significantly raises the bar for safety and control in LLM usage.

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