Aurascape, Inc.
UnclaimedAurascape 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
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
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
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
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
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 LifecycleEnsure that AI agents are protected at all stages, minimizing risks from development to deployment.
- Protect Sensitive DataPrevent data leakage during AI interactions by applying contextual controls.
- Enforce Policies in Real-timeAutomatically enforce adherence to compliance policies during AI usage.
- Preserve Evidence for AuditsFacilitate compliance and accountability by having comprehensive logs for AI activity.
- Gain Instant VisibilityQuickly understand AI usage and associated risks within the organization.
- Discover All AI UsageKeep an up-to-date inventory of AI applications and their associated risks.
- Comprehensive Data ClassificationEnsure protection for data in any format used during AI interactions.
- Centralize GovernanceManage both AI utilization and development efforts in a unified manner.
- Control MCP AccessEnsure that all MCP connections are monitored and governed for safety.
- Educate Users InstantlyProvide 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 ActivityEnsure that agents operate within defined policy limits, tracking their decisions and actions to mitigate risks.
- Implement Effective GovernanceEnforce AI policies directly within usage scenarios to ensure compliance and operational security.
- Restrict Tool UsageControl access to approved technologies, maintaining the integrity of enterprise data and systems.
- Protect Sensitive InformationSafeguard critical data using real-time monitoring and risk-based controls.
- Control Development EnvironmentsManage the use of coding assistants to safeguard intellectual property and ensure compliance in development workflows.
- Ensure Safe AI DeploymentEvaluate and mitigate risks associated with AI tools prior to integration into corporate workflows.
- Establish Audit TrailsEnsure that all AI activities are recorded for easy access during audits and investigations.
- Discover Hidden RisksIdentify 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 InteractionsAchieve seamless governance from conversation initiation to action execution, ensuring every aspect of agent activity is managed effectively.
- Ensure Secure Tool UsageEnforce policies that govern how AI agents can interact with tools and systems, maintaining control over every connection made.
- Enforce Policies in Real-TimeImplement policies instantly as agent decisions are made, ensuring compliance and risk mitigation during operations.
- Protect Sensitive InformationUtilize context-aware controls to manage sensitive data and prevent unauthorized exposure during agent operations.
- Validate Security Pre-DeploymentPerform rigorous adversarial testing to identify potential vulnerabilities and enhance security measures before releasing AI solutions.
- Achieve Full Agent TransparencyMaintain 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 AppsEnsure no AI tools are overlooked, providing a complete inventory of AI utilization within the organization.
- Assess AI Risk InstantlyUtilize risk scores to inform immediate policy adjustments for secure AI deployment.
- Monitor AI InteractionsGain insights into user interactions with AI tools, allowing for better governance and risk assessment.
- Reveal Unsanctioned ToolsMitigate risks associated with unknown AI tools by integrating them into governance frameworks.
- Ensure Regulatory ComplianceProactively identify and mitigate compliance violations resulting from AI tool use.
- Track Local AI UsageIdentify 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 ActionsFlexible policy enforcement allows tailored responses based on data sensitivity and user actions to enhance security.
- Control Data MovementImplement policies to prevent unauthorized data exposure and ensure secure usage of AI interactions.
- Detect OversharingIdentify and manage instances where sensitive data is shared inappropriately, reducing compliance risks.
- Fingerprint Sensitive DataAutomatically classify and monitor sensitive data in real time to prevent unauthorized access and data leaks.
- Coach Users InlineProvide 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 InstantlyThese guardrails ensure real-time compliance and security by actively monitoring and controlling actions during coding.
- Prevent Potential DamageEnsures that harmful commands are blocked in real-time, reducing the risk of serious errors or data loss.
- Prevent Unauthorized UsageThis feature guarantees that only approved licenses are utilized, safeguarding company resources and compliance.
- Safeguard Sensitive InformationProtects critical credentials from being exposed during AI interactions to maintain confidentiality.
- Secure Critical ToolsIt ensures that all tools and extensions comply with organizational standards to protect sensitive data.
- Protect Against ManipulationThis feature helps to safeguard the development process by preventing malicious instructions from being executed.
- Gain Insights InstantlyReal-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 ChecksEnsure your organization is prepared by identifying potential oversharing risks before deploying AI Copilots.
- Detect Overshared DataIdentify sensitive content that may be at risk of unauthorized access or exposure during Copilot operations.
- Monitor Copilot ActivityTrack usage patterns and access requests to mitigate compliance risks in real-time.
- Tighten Data PermissionsReceive actionable suggestions to enhance security by adjusting access controls before Copilot implementation.
- Ensure ComplianceProtect your organization from regulatory breaches through diligent oversight of data sharing practices.
- Tag Sensitive ContentEnsure 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 InstantlyAurascape ensures enterprises are aware of all AI tools in use, minimizing the risk introduced by unknown applications.
- Safeguard Sensitive Data SeamlesslyAurascape enables real-time monitoring and protection, keeping sensitive data secure across all interactions.
- Streamline Policy Disputes EfficientlyThis feature simplifies the management of policy violations, allowing users to resolve issues without lengthy delays.
- Empower Users With Contextual GuidanceAurascape not only blocks risky actions but also educates users on safer practices, fostering compliance and security awareness.
- Enhance Alert AccuracyBy 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.
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, registering a remarkable CAGR of 45.3%.
- The global AI Model Risk Management market reached US$ 6.43 billion in 2025 and is expected to reach US$ 28.54 billion by 2035, CAGR 16.2%.
- The global AI maturity assessment market size accounted for USD 1.52 billion in 2025 and is predicted to increase to USD 5.38 billion by 2035, CAGR 13.48%.
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.
- Market Size (2025): USD 8.73 Billion; CAGR (2026–2034): 39.5%.
- Projected to reach USD 13.52 billion by 2032 from USD 1.65 billion in 2026; CAGR 42.0% (2026–2032).
- Market valued at USD 18.72 billion in 2025; CAGR 39.12% (2026–2035).
- Market valued at USD 0.9 billion in 2026; projected USD 29.6 billion by 2035; CAGR 47.4% (2026–2035).
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→$206.5B year-over-year) to justify a higher CAGR for the security/guardrail subset; enterprises prioritize governance, so a ~30% CAGR is plausible over the near term.
- Aurascape, Inc.
- Aurascape AI Security Platform
- AI Governance & Compliance
- Secure Agentic AI
- Discover and Monitor AI
- Safeguard AI Use
- Coding Assistant Guardrails
- Copilot Readiness
- Frictionless AI Security
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, registering a remarkable CAGR of 45.3%.
- The global AI Model Risk Management market reached US$ 6.43 billion in 2025 and is expected to reach US$ 28.54 billion by 2035, CAGR 16.2%.
- The global AI maturity assessment market size accounted for USD 1.52 billion in 2025 and is predicted to increase to USD 5.38 billion by 2035, CAGR 13.48%.
- Market Size (2025): USD 8.73 Billion; CAGR (2026–2034): 39.5%.
- Projected to reach USD 13.52 billion by 2032 from USD 1.65 billion in 2026; CAGR 42.0% (2026–2032).
- Market valued at USD 18.72 billion in 2025; CAGR 39.12% (2026–2035).
- Market valued at USD 0.9 billion in 2026; projected USD 29.6 billion by 2035; CAGR 47.4% (2026–2035).
- Market size: $300M CAGR: 30% Methodology
- Market projected to grow from USD 32.0 billion in 2025 to USD 143.7 billion by 2035, at a CAGR of 16.2%.
- AI Red Teaming Services market size reached USD 1.43 billion in 2024; CAGR 26.1% (2025–2033).
- The global market reached $3.9 billion in 2025; expanding at a compound annual growth rate of 18% to 25% through 2030.
- Gartner currently forecasts roughly $206.5 billion of AI agent software spending this year, up from about $86.4 billion last year.
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