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Pluto Security

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CybersecuritySoftwarepluto.securityUpdated

Pluto Security enables secure AI-enabled work by letting teams build freely while security stays in control.

Overview

Pluto Security is the AI workspace security platform that enables organizations to oversee and protect all AI-building ventures across every work environment while enabling people to build securely with AI. Pluto recognizes that AI-enabled tools accelerate work, but security teams previously faced a binary choice: block everything or accept risk. Pluto offers a third way: allow people to build, while security stays in control. The company was founded by a world-class team from Unit 8200, Microsoft, and Palo Alto Networks - builders who have led security at global scale. Backed by leading security and cloud ecosystems, and supported by accelerators including AWS, CrowdStrike, and NVIDIA, Pluto is rethinking how security works for a world where everyone can build. Pluto protects modern creation workflows spanning AI builders, developer tools, and business workspaces with visibility, risk understanding, and real-time guardrails. Its approach emphasizes discovery, context, and enforcement, helping security teams manage risk without slowing innovation. Pluto positions itself as a partner for enterprises seeking governance, compliance, and risk management across the AI work surface, from endpoints to integrations. The company's values - Enable, don't block; Visibility over guesswork; Frictionless, always; Security that takes action - underline a practical philosophy: security should unlock progress, not hinder it. Pluto's mission is to secure what people build with AI, empowering knowledge workers, developers, and operators to use AI tools responsibly while preserving control. Pluto's story reflects a commitment to broad coverage across AI toolchains and work environments, with a focus on reducing blind spots, improving observability, and delivering proactive, actionable security guidance. The organization emphasizes that its platform enables builders to innovate safely and that governance should scale with the way work happens in the real world.

Mission statement

We secure what people build with AI

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What we offer

Pluto AI Workspace Security Platform

Empower secure AI development while maintaining visibility and control.

pluto.security →

Market segments

Market size by segment

Growth potential (CAGR)

AI workspace security

3.5 Billion USD21% CAGR

Provides organization-wide visibility, contextual risk assessment, and real-time policy enforcement for AI creation workflows across endpoints, developer tools, and business workspaces.

Products: Pluto AI Workspace Security Platform

Autonomous agent governance

1.2 Billion USD25% CAGR

Capabilities to discover, permission, and enforce real-time guardrails for autonomous AI agents across environments, including agent discovery, granular read/write/execute permissions, prompt injection mitigation, and data protection in agentic workflows.

Products: Pluto AI Workspace Security Platform

ML supply chain security

0.25 Billion USD25% CAGR

Pre-deployment analysis and continuous assessment of machine learning packages, code, and configurations to surface vulnerabilities and misconfigurations before installation.

Products: Pluto AI Workspace Security Platform

Prompt security and data leakage prevention

2 Billion USD30% CAGR

Context-aware detection and prevention of prompt injection and data exfiltration across multimodal inputs and languages, with enforcement controls and continuous learning from adversarial data.

Products: Pluto AI Workspace Security Platform

More information about our offering

Pluto AI Workspace Security Platform

Pluto is the AI workspace security platform that helps security teams oversee and protect all AI-building ventures across every workstation and tool. It provides visibility into the tools and data in use, delivers risk understanding, and enforces real-time guardrails so teams can build securely without slowing innovation.

  • Understand Risk Context
    Enables teams to see the implications of each tool configuration and data flow, ensuring informed decision-making.
  • Instantly Enforce Policies
    Provides immediate enforcement of security policies to mitigate risks effectively as they arise.
  • Evaluate Risks Pre-installation
    Allows organizations to make informed deployment decisions by understanding potential risks before they install an MCP server.
  • Facilitate Innovation
    Allows employees to utilize innovative tools while maintaining necessary governance and controls.
  • Ensure Transparent Risk Evaluation
    Gives users actionable insights by detailing the exact lines of code or package locations where vulnerabilities exist, allowing for informed decision-making.
  • Comprehensive Vulnerability Assessment
    Covers a broad range of security risks that may expose systems to attacks, ensuring thorough protection.
  • Gain Comprehensive Insights
    Offers an overview of all AI tools and their usage, helping identify potential vulnerabilities.
  • Expand Analysis Across Deployments
    Facilitates a comprehensive overview of multiple MCP installations, ensuring that broader security measures can be applied effectively.
  • Manage AI Agents Effectively
    Ensures that all AI agents act within defined boundaries, preventing unauthorized actions and data access.
  • Streamline Package Evaluation
    Enables users to quickly assess the security of MCP packages without needing extensive technical support.
  • Empower Non-Developers
    Allows everyday employees to innovate with AI tools while ensuring they adhere to security protocols.

Sources

Methodology and sourcing behind the figures and links shown above.

AI workspace security

Estimation uses the provided market reports for adjacent categories. Cloud security is a large, established market (~$39.6B in 2025) while AI-focused segments show smaller bases but high growth (AI TRiSM ~$2.87B in 2025; AI security platforms ~$32B in 2025). "AI workspace security" is a narrower, specialized subset (visibility, contextual risk, policy enforcement across AI workflows) so its addressable market is expected to be closer to the AI trust/risk/security niche. Growth potential is aligned with AI security/AI-TRiSM forecasts (~21% CAGR), reflecting rapid adoption of AI controls and tooling across enterprises.

Autonomous agent governance

No search results contained market-size or CAGR data for "autonomous agent governance." I estimated using internal market-knowledge and analogies to adjacent markets (AI governance, model risk/security, and emerging agent platforms). Assumptions: autonomous-agent governance is a niche early-stage segment of broader AI governance/security spending — roughly several percent of enterprise AI governance budgets today — driven by rapid adoption of agentic workflows, regulatory and compliance pressure, and rising demand for runtime guardrails (discovery, permissions, prompt‑injection mitigation, data protection). Using a conservative allocation of enterprise AI governance spend to agent governance yields a market around $0.8–1.5B today; I selected $1.2B as a mid‑point. Growth potential (CAGR ~25%) reflects fast adoption, new compliance requirements, and continued investment by security and MLOps vendors, producing high double‑digit growth in the next 3–5 years.

ML supply chain security

Estimate based on published market figures for adjacent markets (software/supply-chain security and AI/ML security) in the search results and the relative niche share for ML-focused supply-chain security. Supply-chain security software market estimates range roughly $3–5+B (low-to-mid single-digit billions) with CAGRs ~8–12%. AI/ML-in-supply-chain and AI-in-security segments show much higher growth (e.g., ML in supply chain ~31% CAGR in one report). ML supply-chain security (pre-deployment and continuous assessment of ML packages/code/configs) is an early, specialized subset of both supply-chain security and AI/ML security; assuming it represents roughly 5–10% of the broader supply-chain/security spend today and will grow faster than the core supply-chain security market, a conservative current market estimate is ~$0.25B with higher growth potential (approx. 25% CAGR) reflecting rapid adoption and nascent demand.

Prompt security and data leakage prevention

Estimated by mapping the prompt-security/data-leakage niche to published AI-security submarkets in the search results: MarketsandMarkets’ agentic AI security (includes prompt tools) and Grand View’s generative AI cybersecurity (includes data security/privacy). Agentic AI figures (USD 1.65B in 2026) set a lower bound; generative AI cybersecurity data-security share implies a multi-billion pool. I therefore estimate ~USD 2.0B for prompt security and data leakage prevention today/near-term, with strong growth potential (CAGR ~30%) between published CAGR ranges (18.5%–42%).

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