AccuroAI
UnclaimedAccuroAI provides enterprise AI security and governance to help organizations govern AI usage, protect data, and demonstrate regulatory compliance.
Overview
AccuroAI provides an enterprise AI security and governance platform designed to help organizations adopt AI with visibility, control, and trust. The company serves regulated industries and large enterprises that must manage AI risk across tools, data, and workflows. Its approach centers on inline governance and data protection that travels with AI across all surfaces, enabling teams to govern usage, redact sensitive data, enforce policies, and generate auditable evidence for compliance. The platform emphasizes policy-as-code, cross-tool policy enforcement, and a unified audit trail aligned to major regulatory frameworks. By unifying governance across multiple AI tools and teams, AccuroAI aims to reduce data exposure risk, support regulator-ready reporting, and accelerate secure AI deployments without compromising speed or collaboration. The organization positions itself as a partner for security, IT, and governance leaders seeking scalable AI governance that aligns with industry standards and enables safer, faster AI-enabled operations.
Mission statement
Let every enterprise move at the speed of AI — without sacrificing control, compliance, or customer trust.
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What we offer
Workforce AI Governance
Gain complete control and visibility over all AI tools in your organization with automated governance and compliance.
Pricing not published
accuroai.co/products/workforce-ai-governanceAI Agent Security
Govern and secure AI agent actions in real time to prevent data leaks and manage compliance.
Pricing not published
accuroai.co/products/ai-agent-securityWho do we serve
Regulated Enterprise AI Governance
Regulated enterprises seeking unified policy enforcement and auditable AI governance.
Geography: Global
Pain points: Disparate tools, lack of policy control, poor audit trails, regulatory reporting gaps
Goals: Reduce AI risk, regulator-ready reporting, speed compliant deployments
Positioning: Unified policy enforcement and auditable AI governance across tools and endpoints for regulated enterprises.
AI Risk And Compliance Leaders
AI risk and compliance leaders seeking streamlined audits and risk visibility.
Geography: Global
Pain points: Regulatory drift, audit readiness, fragmented controls
Goals: Improve risk posture, streamline audit processes
Positioning: Enables risk and compliance teams to enforce policy, generate regulator-ready evidence, and streamline AI risk management.
Data Science And MLOps Teams
Data science teams needing governance and safety controls for AI initiatives.
Geography: Global
Pain points: Lack of policy controls, governance gaps, audit readiness
Goals: Deploy AI rapidly with governance, minimize risk
Positioning: Policy-first governance and safe experimentation for data science and MLOps teams deploying AI at scale.
IT Security And Governance Operators
It teams overseeing enterprise-wide AI policy and endpoint governance.
Geography: Global
Pain points: Shadow AI, uncontrolled tool usage, inconsistent policy enforcement
Goals: Centralized governance, rapid incident response
Positioning: Centralized policy enforcement and endpoint governance for IT security and operations teams.
Market segments
Market size by segment
Growth potential (CAGR)
Runtime AI protection
Real-time threat detection and context-aware enforcement for AI applications and autonomous agents to prevent prompt injection, data leakage, and unsafe actions with low-latency inline protections and runtime guardrails.
Products: AI Agent Security
AI governance and compliance
Frameworks and controls to govern AI assets, manage model risk, enforce policies, ensure explainability and auditability, and support regulatory compliance.
Products: Workforce AI Governance
AI governance and data security
Governance, access control, audit, and privacy controls that manage model usage, protect sensitive information, and ensure compliance when scaling AI over corporate knowledge.
Products: AI Agent Security, Workforce AI Governance
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: Workforce AI Governance
More information about our offering
Workforce AI Governance
An enterprise AI governance platform that discovers every AI tool, inspects prompts, and governs agents. It provides a single console with one policy engine and an auditable trail, with live discovery of tools, board-ready reporting, and auto-mapped evidence for eight frameworks. Deployment is rapid, under 30 minutes. It ensures complete control and visibility over AI interactions across desktops and IDEs.
Pricing not published
- Secure AI Activity On Every EndpointProvides comprehensive oversight of AI usage beyond the browser, ensuring that all AI interactions on desktops and IDEs are monitored and governed.
- Inline Policy EnforcementReduces risk by applying policies instantly, blocking or redacting sensitive information as AI interactions occur.
- Identify All AI ToolsInstantly detects and catalogs AI usage across platforms, ensuring no tool goes unnoticed.
- Streamline Compliance EvidenceAutomatically aligns audit evidence with regulatory requirements, ensuring readiness.
- Automate Policy ComplianceEnsures consistent enforcement of governance policies through codified approaches.
- Consistent Policy Enforcement Across All SurfacesEnsures that all AI activities across different endpoint surfaces are controlled by a unified policy, simplifying governance.
- Enforce Human OversightMandates human approval for critical AI interactions to minimize risk.
- Simplify Executive ReportingProvide clear, concise reporting to stakeholders, reducing audit preparation time.
- Monitor AI UsageImplements real-time tracking of AI tool usage and associated risks.
- Seamlessly Connect Security ToolsEnhances your existing security stack by integrating with widely used tools, providing context and routing events effectively.
- Identify All Installed AI ToolsEnsures visibility into shadow AI applications, enabling proactive governance before potential risks materialize.
- Maintain Complete LogsKeeps detailed records for audit and compliance needs, enhancing transparency.
- Streamline Audit ProcessesFacilitates compliance by providing timely access to documented interactions and policy applications.
- Enhance Security ControlImplements tailored access rights, ensuring proper use of AI resources.
AI Agent Security
Security and governance for autonomous AI agents, with runtime protection across agent actions and tool calls.
Pricing not published
- Isolate Threats ImmediatelyBy quarantining sessions in real time, organizations can stop potentially harmful actions before they escalate, ensuring rapid response to threats.
- Prevent Unauthorized AccessDetect and block all forms of injection attacks, ensuring that harmful instructions do not affect AI operations.
- Maintain Compliance EffortlesslyEnsure all interactions are governed by compliance policies, which automatically follow actions taken by agents and users.
- Enforce Policies InstantlyApply security policies in real time across all agent activities, ensuring that operations remain within safe parameters.
- Mitigate Data BreachesInspect all tool calls and data retrieval actions to capture sensitive information before it is exposed.
- Identify Anomalies InstantlyReal-time monitoring of agent actions enables organizations to detect and address unusual behaviors quickly.
Sources
Methodology and sourcing behind the figures and links shown above.
Runtime AI protection
Estimate based on recent market reports for runtime application self-protection (RASP) and AI TRiSM/runtime protection. ResearchNester and MarketsandMarkets place the RASP/AI TRiSM market around $3.1–3.5B in 2026; MarketsandMarkets calls out ~30%+ CAGR for AI TRiSM and 33.1% for AI security & runtime protection. A midpoint current-size (~$3.3B) and a high-growth CAGR (~30%) reflect the segment’s alignment with rapid AI/agent adoption and cited subsegment growth rates, while acknowledging lower RASP estimates (≈18.9% CAGR) in some reports.
- In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion.
- The AI TRiSM market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, at a CAGR of 30.3%.
- Global runtime application self-protection market Size Expected to Grow from USD 874.26 million in 2026 to USD 4180.89 million by 2035, at a CAGR of 18.9%.
AI governance and compliance
Primary anchor: MarketsandMarkets provides an explicit 2024 baseline (USD 0.89B) and a 2029 forecast (USD 5.78B) with a 45.3% CAGR (2024–2029), so the market-size and CAGR estimates use that forecast. Other search results show a range of CAGRs (Forrester ~30% 2024–2030; NextMSC/other vendors 37–51% across different horizons), which indicates high consensus on rapid, multi‑year double‑digit growth; MarketsandMarkets was selected as the primary, conservative industry-source for the 2024 baseline and near‑term CAGR.
- The global AI governance market is projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- The global AI Governance Market size is estimated at USD 620 million in 2024...projected to grow to USD 7,380 million by 2030, with a CAGR of 51% (2025–2030).
AI governance and data security
Estimate based on combining reported AI-governance market (~USD 0.89B in 2024) with data-governance/data-security market (~USD 3.1B in 2024). Weighted growth rates use high AI-governance CAGRs (25–45%+ in sources) and lower data-governance CAGRs (~15%), yielding an aggregate CAGR ≈21.8%. Sources cited below provide the specific market size and CAGR inputs used.
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- 2024 Market Size$ 3.1 Billion ... CAGR (2025 - 2035)15.02%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- market to reach USD 5,748.6 Million by 2034, exhibiting a CAGR of 35.25% from 2026-2034; 2025 market USD 353.1 Million.
AI asset discovery and attack surface management
Search results show the broader attack-surface/CAASM markets range from roughly $0.9B–$2.8B (2024–2025) with CAGRs from ~17%–29%. No source isolates AI-asset discovery specifically, so I treated it as a nascent subset of ASM/CAASM. Using a mid-range ASM base (sources below) and assuming AI-asset discovery/shadow-AI mapping represents ~10%–12% of current ASM/CAASM spend (given early adoption but high priority), I estimate a current market size ≈ $0.3B. Because AI asset discovery demand should outpace general ASM (rapid AI adoption, shadow-AI risk), I project an elevated CAGR (~30%), above most ASM averages.
- projected to expand from USD 0.9 billion in 2024 to USD 3.3 billion by 2029, CAGR of 29.3%
- global attack surface management market size was valued at USD 1.03 billion in 2025 ... to USD 5 billion by 2034, exhibiting a CAGR of 21.03%
- Global Cyber Asset Attack Surface Management market valued at $2.8 billion in 2025 ... CAGR of 17.1%
- AccuroAI
- Workforce AI Governance
- AI Agent Security
- In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion.
- The AI TRiSM market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, at a CAGR of 30.3%.
- Global runtime application self-protection market Size Expected to Grow from USD 874.26 million in 2026 to USD 4180.89 million by 2035, at a CAGR of 18.9%.
- The global AI governance market is projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- The global AI Governance Market size is estimated at USD 620 million in 2024...projected to grow to USD 7,380 million by 2030, with a CAGR of 51% (2025–2030).
- 2024 Market Size$ 3.1 Billion ... CAGR (2025 - 2035)15.02%.
- market to reach USD 5,748.6 Million by 2034, exhibiting a CAGR of 35.25% from 2026-2034; 2025 market USD 353.1 Million.
- projected to expand from USD 0.9 billion in 2024 to USD 3.3 billion by 2029, CAGR of 29.3%
- global attack surface management market size was valued at USD 1.03 billion in 2025 ... to USD 5 billion by 2034, exhibiting a CAGR of 21.03%
- Global Cyber Asset Attack Surface Management market valued at $2.8 billion in 2025 ... CAGR of 17.1%
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