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Aurascape, Inc.

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CybersecuritySoftwareaurascape.aiSanta Clara, CA, United StatesUpdated

Aurascape provides real-time visibility, policy enforcement, and data protection to secure enterprise AI usage and agent workflows.

Overview

Aurascape is an AI-native security company that enables enterprises to securely adopt AI by providing real-time visibility into AI activity, inline policy enforcement, and data protection across AI tools, copilots, and agents. The platform supports governance, risk assessment, and audit-ready evidence, helping security, privacy, and IT teams manage AI use and build AI-enabled workloads with confidence.

Mission statement

To enable businesses to innovate fearlessly in the age of AI by transforming how they safeguard themselves with the world’s most advanced AI security platform.

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What we offer

Aurascape AI Security Platform

Empowers enterprises to secure AI interactions with real-time visibility and control.

Pricing not published

aurascape.ai/product/

AI Governance & Compliance

Empower organizations to enforce AI governance and ensure compliance with real-time visibility and control.

Pricing not published

aurascape.ai/ai-governance-and-compliance/

Secure Agentic AI

Ensure secure AI agent interactions with real-time visibility and control.

Pricing not published

aurascape.ai/secure-agentic-ai/

Discover and Monitor AI

Provides comprehensive visibility into AI usage, ensuring compliance and risk management.

Pricing not published

aurascape.ai/discover-and-monitor-ai/

Safeguard AI Use

Safeguard sensitive data and ensure compliance in AI interactions with real-time controls.

Pricing not published

aurascape.ai/safeguard-ai-use/

Coding Assistant Guardrails

Accelerate development with AI coding assistants while maintaining control over security and compliance.

Pricing not published

aurascape.ai/coding-assistant-guardrails/

Copilot Readiness

Ensure safe AI Copilot usage with risk assessments and data protection strategies.

Pricing not published

aurascape.ai/copilot-readiness/

Frictionless AI Security

Effortlessly manage AI security risks while maintaining user productivity and compliance.

Pricing not published

aurascape.ai/frictionless-ai-security/

Market segments

Market size by segment

Growth potential (CAGR)

AI governance

0.89 Billion USD45.3% CAGR

Capabilities to define, automate, and enforce AI policies, governance workflows, and produce audit-ready evidence across models, agents, and applications.

Products: AI Governance & Compliance, Aurascape AI Security Platform, Copilot Readiness, Frictionless AI Security, Safeguard AI Use

Agent governance and runtime protection

9 Billion USD40% CAGR

Unified policy enforcement, auditable guardrails, runtime anomaly detection, and deployment security to enforce compliance and prevent unsafe agent behavior.

Products: Secure Agentic AI, Aurascape AI Security Platform, AI Governance & Compliance

GenAI data protection

1.3 Billion USD25% CAGR

Controls that identify and prevent leakage of sensitive information within generative AI and agentic AI workflows, using LLM-based data understanding and contextual risk analysis.

Products: Safeguard AI Use, Aurascape AI Security Platform, Coding Assistant Guardrails, AI Governance & Compliance

AI asset discovery and attack surface management

0.3 Billion USD30% CAGR

Discovery and reconnaissance of shadow AI and distributed AI assets to map the AI attack surface and prioritize exposure reduction.

Products: Discover and Monitor AI, Aurascape AI Security Platform, Frictionless AI Security, AI Governance & Compliance

Coding assistant security and guardrails

1.2 Billion USD30% CAGR

Inline controls and monitoring for developer-facing AI assistants to enforce license/model use, redact secrets, contain prompt injection, and stop risky commands.

Products: Coding Assistant Guardrails, Aurascape AI Security Platform, AI Governance & Compliance

More information about our offering

Aurascape AI Security Platform

Aurascape AI Security Platform is an AI-native security platform that gives enterprises real-time visibility, classification, and control over every AI interaction across employee tools, embedded copilots, and autonomous agents. It enables inline policy enforcement, runtime governance, data protection, and audit-ready evidence across AI use and development.

Pricing not published

  • Secure Agent Lifecycle
    Ensure that AI agents are protected at all stages, minimizing risks from development to deployment.
  • Protect Sensitive Data
    Prevent data leakage during AI interactions by applying contextual controls.
  • Enforce Policies in Real-time
    Automatically enforce adherence to compliance policies during AI usage.
  • Preserve Evidence for Audits
    Facilitate compliance and accountability by having comprehensive logs for AI activity.
  • Gain Instant Visibility
    Quickly understand AI usage and associated risks within the organization.
  • Discover All AI Usage
    Keep an up-to-date inventory of AI applications and their associated risks.
  • Comprehensive Data Classification
    Ensure protection for data in any format used during AI interactions.
  • Centralize Governance
    Manage both AI utilization and development efforts in a unified manner.
  • Control MCP Access
    Ensure that all MCP connections are monitored and governed for safety.
  • Educate Users Instantly
    Provide immediate feedback and coaching to users to maintain security standards.

AI Governance & Compliance

Move from AI policy to enforceable governance by discovering AI use, enforcing approved tools and policies, protecting sensitive data, and preserving audit-ready evidence across use, build, and agent workflows.

Pricing not published

  • Govern Agent Activity
    Ensure that agents operate within defined policy limits, tracking their decisions and actions to mitigate risks.
  • Implement Effective Governance
    Enforce AI policies directly within usage scenarios to ensure compliance and operational security.
  • Restrict Tool Usage
    Control access to approved technologies, maintaining the integrity of enterprise data and systems.
  • Protect Sensitive Information
    Safeguard critical data using real-time monitoring and risk-based controls.
  • Control Development Environments
    Manage the use of coding assistants to safeguard intellectual property and ensure compliance in development workflows.
  • Ensure Safe AI Deployment
    Evaluate and mitigate risks associated with AI tools prior to integration into corporate workflows.
  • Establish Audit Trails
    Ensure that all AI activities are recorded for easy access during audits and investigations.
  • Discover Hidden Risks
    Identify and govern unsanctioned AI applications operating within the organization.

Secure Agentic AI

Govern agents as they move from conversation to action, including MCP activity, tool use, delegated permissions, and risky actions, with full visibility and runtime policy enforcement across agent interactions.

Pricing not published

  • Control AI Agent Interactions
    Achieve seamless governance from conversation initiation to action execution, ensuring every aspect of agent activity is managed effectively.
  • Ensure Secure Tool Usage
    Enforce policies that govern how AI agents can interact with tools and systems, maintaining control over every connection made.
  • Enforce Policies in Real-Time
    Implement policies instantly as agent decisions are made, ensuring compliance and risk mitigation during operations.
  • Protect Sensitive Information
    Utilize context-aware controls to manage sensitive data and prevent unauthorized exposure during agent operations.
  • Validate Security Pre-Deployment
    Perform rigorous adversarial testing to identify potential vulnerabilities and enhance security measures before releasing AI solutions.
  • Achieve Full Agent Transparency
    Maintain complete visibility of agent actions and the data they access or manipulate to assess risks continuously.

Discover and Monitor AI

Get a clear picture of all AI activity with continuous discovery and monitoring of AI use, risk, and policy adherence across an organization.

Pricing not published

  • Identify All AI Apps
    Ensure no AI tools are overlooked, providing a complete inventory of AI utilization within the organization.
  • Assess AI Risk Instantly
    Utilize risk scores to inform immediate policy adjustments for secure AI deployment.
  • Monitor AI Interactions
    Gain insights into user interactions with AI tools, allowing for better governance and risk assessment.
  • Reveal Unsanctioned Tools
    Mitigate risks associated with unknown AI tools by integrating them into governance frameworks.
  • Ensure Regulatory Compliance
    Proactively identify and mitigate compliance violations resulting from AI tool use.
  • Track Local AI Usage
    Identify AI tools and features operating in local environments to mitigate shadow AI risks.

Safeguard AI Use

Protect data and regulatory compliance in AI usage with real-time data classification, fingerprinting, and eight-action policy enforcement across AI interactions.

Pricing not published

  • Enforce Eight Actions
    Flexible policy enforcement allows tailored responses based on data sensitivity and user actions to enhance security.
  • Control Data Movement
    Implement policies to prevent unauthorized data exposure and ensure secure usage of AI interactions.
  • Detect Oversharing
    Identify and manage instances where sensitive data is shared inappropriately, reducing compliance risks.
  • Fingerprint Sensitive Data
    Automatically classify and monitor sensitive data in real time to prevent unauthorized access and data leaks.
  • Coach Users Inline
    Provide timely feedback and suggestions to users as they interact with AI systems, enhancing security awareness.

Coding Assistant Guardrails

Guardrails for AI coding assistants to accelerate development safely by enforcing inline controls over access, licensing, secrets, and commands within developer workflows.

Pricing not published

  • Enforce Controls Instantly
    These guardrails ensure real-time compliance and security by actively monitoring and controlling actions during coding.
  • Prevent Potential Damage
    Ensures that harmful commands are blocked in real-time, reducing the risk of serious errors or data loss.
  • Prevent Unauthorized Usage
    This feature guarantees that only approved licenses are utilized, safeguarding company resources and compliance.
  • Safeguard Sensitive Information
    Protects critical credentials from being exposed during AI interactions to maintain confidentiality.
  • Secure Critical Tools
    It ensures that all tools and extensions comply with organizational standards to protect sensitive data.
  • Protect Against Manipulation
    This feature helps to safeguard the development process by preventing malicious instructions from being executed.
  • Gain Insights Instantly
    Real-time monitoring allows teams to stay informed about security incidents and compliance issues as they arise.

Copilot Readiness

Prepare for and monitor AI Copilot use by identifying overshared data, tagging sensitive content, and tightening data permissions before rollout.

Pricing not published

  • Run Readiness Checks
    Ensure your organization is prepared by identifying potential oversharing risks before deploying AI Copilots.
  • Detect Overshared Data
    Identify sensitive content that may be at risk of unauthorized access or exposure during Copilot operations.
  • Monitor Copilot Activity
    Track usage patterns and access requests to mitigate compliance risks in real-time.
  • Tighten Data Permissions
    Receive actionable suggestions to enhance security by adjusting access controls before Copilot implementation.
  • Ensure Compliance
    Protect your organization from regulatory breaches through diligent oversight of data sharing practices.
  • Tag Sensitive Content
    Ensure critical data is recognized and managed in line with security policies during Copilot usage.

Frictionless AI Security

Make AI security practical with real-time user coaching, automatic discovery and risk analysis, and incident-management workflows that minimize disruption to work.

Pricing not published

  • Detect New AI Tools Instantly
    Aurascape ensures enterprises are aware of all AI tools in use, minimizing the risk introduced by unknown applications.
  • Safeguard Sensitive Data Seamlessly
    Aurascape enables real-time monitoring and protection, keeping sensitive data secure across all interactions.
  • Streamline Policy Disputes Efficiently
    This feature simplifies the management of policy violations, allowing users to resolve issues without lengthy delays.
  • Empower Users With Contextual Guidance
    Aurascape not only blocks risky actions but also educates users on safer practices, fostering compliance and security awareness.
  • Enhance Alert Accuracy
    By minimizing inaccurate alerts, teams can focus on genuine threats without distractions.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance

Primary industry report (MarketsandMarkets) explicitly values the global AI governance market at USD 0.89 billion (2024) with a projected rise to USD 5.78 billion by 2029 at a 45.3% CAGR. Supplementary reports for adjacent segments (AI model risk management and AI maturity assessment) show larger, fast-growing governance-related markets (CAGRs ~13–16%), supporting high growth potential driven by regulatory pressure, enterprise adoption of generative AI, and demand for auditability and compliance.

Agent governance and runtime protection

Primary anchor is industry research specific to AI agent governance (IGTP) which reports a 2025 market of USD 8.73B and ~39.5% CAGR. Cross-checked agentic/ runtime-security reports from MarketsandMarkets, SNSInsider and Globe Market Research show consistent high-growth forecasts (CAGRs ~30–47%) but differing 2025/2026 bases (USD 0.9B–18.7B) depending on scope. Because the segment combines governance, runtime guardrails, and runtime protection, I used the governance-focused figure as the primary baseline and took a conservative midpoint on growth given multiple reports clustering around ~40% CAGR.

GenAI data protection

No explicit market figures were present in the provided search results. Estimate derived from market hierarchy reasoning: GenAI data protection is a specialized subset of existing Data Loss Prevention (DLP), cloud security, and emerging AI-governance/AI-security spend. Assuming a multi‑billion-dollar addressable market across DLP, cloud security controls and AI-governance (~tens of billions collectively), a targeted share for GenAI-specific data protection of roughly 5–12% yields an estimated current market ~$1.0–1.5B; midpoint used: $1.3B. Growth potential (CAGR ~25%) reflects rapid enterprise GenAI adoption, increasing regulatory/compliance requirements, and rising vendor investment in LLM-aware data controls over the next 3–5 years.

AI asset discovery and attack surface management

Primary source (CloudSEK / Boon agent page) explicitly estimates the AI asset discovery & attack-surface segment at USD 300M with a 30% CAGR, treating it as a nascent subset of broader ASM/CAASM. I used that explicit figure as the market-size estimate. Broader market reports in the search results (AI-in-cybersecurity; AI red teaming) show much larger addressable markets and multi‑decade growth (CAGRs ~16–26%), supporting the view that AI-specific discovery/security subsegments can command above-average growth (CloudSEK’s 30% figure).

Coding assistant security and guardrails

Estimated current market size derived from AI coding tools market sizing and the emerging agentic-AI security/governance spend. Planetcrust reports the AI coding tools market at $3.9B (2025); allocating a 25–35% share to developer-facing security, governance and guardrails yields ~ $1.0–1.4B (midpoint $1.2B). Growth potential uses planetcrust’s AI-coding CAGR (18–25%) and Gartner’s large, rapid increase in agent-related spending ($86.4B→$206.5B year-over-year) to justify a higher CAGR for the security/guardrail subset; enterprises prioritize governance, so a ~30% CAGR is plausible over the near term.

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