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Prompt Security

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CybersecuritySoftwareprompt.securityUpdated

AI security resources and tooling provider delivering open-source tools, education, and guidance to govern and secure AI usage and agentic systems.

Overview

Prompt Security is an AI security research and tooling organization that provides education, threat research, and practical tooling to help organizations govern and secure their AI usage, data, and agent-based workflows. The organization curates an accessible library of AI security resources, including glossaries, tutorials, research articles, and community-driven tooling—designed for security teams, IT, developers, and risk managers. Its offerings emphasize visibility into how AI tools are used within an organization; governance of AI-enabled applications and pipelines; and control over autonomous agent behavior through policy, monitoring, and enforcement. Content and tools are presented openly with a strong emphasis on open-source software and collaboration, enabling practitioners to assess, test, and improve AI security posture. The platform also includes a startup map to highlight AI security initiatives and a centralized view for discovering tools, guidance, and best practices. By combining educational content, research insights, and practical tooling, Prompt Security supports responsible AI adoption while helping organizations reduce risk across usage, integration, and agentic operations.

Mission statement

To empower organizations to govern and secure AI usage, integration, and agentic AI through tools, research, and guidance.

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What we offer

ClawSec

Enhance AI agent security with real-time monitoring and compliance tools.

prompt.security →

OneClaw

Gain comprehensive visibility and control over OpenClaw deployments in your organization.

oneclaw.prompt.security →

Prompt Fuzzer

Enhance AI application security by uncovering and hardening vulnerabilities in system prompts.

prompt.security →

Market segments

Market size by segment

Growth potential (CAGR)

AI governance and agent monitoring

0.75 Billion USD40% CAGR

Monitors autonomous AI agents and models for policy compliance, performance, and risk; provides enforcement, audit capabilities, and analytics to govern AI-driven actions.

Products: ClawSec, OneClaw

Model and agent observability

1.2 Billion USD28% CAGR

End-to-end monitoring and diagnostic capabilities for models and autonomous agents across development and production to measure performance, drift, and root cause.

Products: OneClaw, ClawSec

Prompt security and adversarial testing

1.6 Billion USD26.8% CAGR

Assessing and hardening system prompts through fuzz testing and adversarial prompt generation, interactive testing playgrounds, multi-provider attack coverage, and developer-focused vulnerability analysis.

Products: Prompt Fuzzer

More information about our offering

ClawSec

ClawSec is Prompt Security's open-source security tool for AI agents. It provides a security skill suite for AI agents, including drift detection, live recommendations, automated audits, and skill integrity verification. It also baselines an agent's trusted instruction files, detects tampering, and restores the approved version.

  • Monitor Skill Changes
    Quickly identify and address unexpected changes in agent behavior, ensuring they operate as intended.
  • Ensure Skill Integrity
    Protect against unauthorized changes by validating the integrity of AI agent skills.
  • Streamline Compliance Audits
    Automated audits help maintain compliance with organizational policies, saving time and ensuring consistent governance.
  • Restore Approved Configurations
    Automatically revert to verified configurations in case of unauthorized modifications, ensuring consistent operation.
  • Establish Trusted Baselines
    Create a baseline for trusted instructions, ensuring agents operate within safe parameters.
  • Enhance Agent Governance
    Provide actionable insights to enhance governance and safety of AI agents dynamically.

OneClaw

OneClaw provides OpenClaw visibility and oversight across an organization, enabling tracking and analysis of OpenClaw deployments, with visibility into agent activity, usage patterns, and security insights.

  • Ensure Comprehensive Oversight
    Gives a full view of all OpenClaw deployments, allowing for enhanced monitoring and management of agent operations.
  • Detect Anomalies In Real-Time
    Constantly analyzes agent activities to identify unusual patterns and potential security threats, ensuring rapid response to issues.
  • Generate Security Insights
    Analyzes historical data to provide actionable security insights, helping to mitigate risks associated with AI agents.
  • Analyze Deployment Patterns
    Provides insights into the distribution and usage of OpenClaw across your organization, helping optimize resource allocation.
  • Govern AI Interactions Proactively
    Ensures compliance and security by actively enforcing predefined policies across all agent activities.

Prompt Fuzzer

Prompt Fuzzer is an open-source AI security vulnerability assessment tool that fuzz tests system prompts to improve resilience against adversarial prompts. It includes a fuzzing engine that generates diverse test case scenarios, a Playground for interactive testing, supports 16 providers and 16 attack types, and helps developers harden prompts.

  • Generates Diverse Test Cases
    This feature allows developers to simulate various attack scenarios, identifying weaknesses in system prompts and improving their robustness.
  • Stress Tests Model Behavior
    By varying prompts, this feature reveals potential vulnerabilities in AI systems under adverse conditions.
  • Covers 16 Attack Types
    This extensive coverage allows AI developers to assess the effectiveness of their prompts against a broad range of threats.
  • Promotes Community Collaboration
    Being open-source, it allows for community contributions, enhancements, and customized solutions for AI security challenges.
  • Interactive Testing Environment
    Users can experiment with different prompts in a controlled environment, facilitating rapid iterations and prompt refinement.
  • Integrates With 16 Providers
    This ensures compatibility with various AI systems and enhances flexibility for developers.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance and agent monitoring

Primary estimate uses a targeted AI governance market report (Wissen Research) that values the global AI governance market at USD 0.75B in 2024 and projects rapid growth to USD 5.64B by 2030 (CAGR ~40%). Adjacent markets—AI runtime security and agentic AI—show substantial market sizes and high CAGRs (SNSInsider: AI runtime security CAGR ~27%; Hostinger: agentic AI CAGR ~40.5%), and model-evaluation/governance subsegments are also forecast to grow quickly (Precedence Research: governance-related segment CAGR ~26.5%). Combining the explicit AI governance valuation with corroborating high-growth signals from related segments supports the 0.75B current-size and high-growth (40%) estimate.

Model and agent observability

Search results provided no explicit market-size or CAGR data for “model and agent observability.” Estimate uses internal benchmarking to adjacent markets: MLOps/model monitoring, observability/APM, and enterprise AI tooling spend. Assumptions: (1) model & agent observability is a niche subsegment of MLOps/observability capturing a small share of those markets; (2) rapid LLM/agent adoption, regulatory/compliance needs, and rising production ML complexity drive above-average growth; (3) plausible current addressable revenue for tooling, services and cloud offerings in this niche ≈ $1.0–1.5B, so midpoint ~ $1.2B; (4) expected adoption rates and enterprise AI investments justify a high CAGR in the 25–35% range, so a mid-point estimate of 28% CAGR over the next 3–7 years.

Prompt security and adversarial testing

Estimate grounded in niche prompt/prompt-security market reports that place current size in the low‑single‑digit billions (prompt security: USD 1.42B in 2024; agentic/AI model security: ~USD 1.65–1.69B in 2026). Growth potential uses the prompt security testing CAGR (26.8%) and is supported by similar AI model/security forecasts (~26% CAGR). Adjacent agentic/agent-runtime reports show higher CAGRs (42–47%), indicating upside if agentic AI adoption accelerates.

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