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Lakera Inc

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Enterprise Securitylakera.aiSan Francisco, CA, United States

Enterprise AI security company providing governance, risk visibility, and runtime protection for AI agents and GenAI deployments.

Overview

Lakera Inc is a security technology company focused on protecting enterprise AI. It provides a unified platform that helps organizations see and govern how AI is used, where data flows, and how agents behave. It combines discovery and risk assessment of AI agents and connected systems with policy-based enforcement at runtime to prevent unsafe actions, data leakage, and prompt attacks. It serves Fortune 500 companies and startups alike, enabling secure deployment and ongoing governance of GenAI, agents, and automation across the organization. The company emphasizes speed and scalability, offering governance, security testing, and continuous protection without requiring changes to models or prompts. Its mission is to enable safe AI adoption at scale by giving security teams real-time visibility, risk management, and protective controls across the entire AI lifecycle.

Mission statement

Lakera's mission is to secure AI across employees, applications, and agents by providing real-time governance, risk visibility, and runtime protection that lets organizations deploy AI at scale with confidence.

What we offer

Lakera Guard

Lakera Guard protects AI systems from cybersecurity risks in real-time.

platform.lakera.ai/

AI Red Teaming

Proactively uncovers safety and security risks in AI applications, enhancing security and compliance.

www.lakera.ai/ai-red-teaming

AI Red Teaming Service

Service

Proactively uncover safety and security risks in your AI applications with expert-led testing.

www.lakera.ai/ai-red-teaming-services

Market segments

Market size by segment

Growth potential (CAGR)

Adversarial testing and threat modeling

1.05 Billion USD13.84% CAGR

Offensive testing, red-team assessments, and threat modeling applied to applications and AI/ML systems to identify vulnerabilities, attack vectors, and remediation guidance.

AI governance and agent monitoring

7.28 Billion USD39.85% CAGR

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

Prompt security and data leakage prevention

0.5 Billion USD40% 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.

More information about our offering

Lakera Guard

Lakera Guard is an enterprise security solution that inspects AI interactions in real-time to prevent prompt injections, data leakage, and unsafe agent actions. It provides context-aware detection, enforcement controls, and continuous learning from adversarial data. It supports 100+ languages and multimodal inputs, integrates with existing security stacks, and offers deployment options (SaaS or self-hosted) for scalable protection across the organization.

  • Adapts To New Threats
    This feature allows Lakera Guard to continuously improve its detection and prevention capabilities based on recent trends and attack patterns.
  • Immediate Threat Response
    Enables rapid identification and mitigation of potential security risks, keeping AI operations safe.
  • Protect Data In Prompts
    Implement safeguards that adapt based on the context of interactions, ensuring sensitive data remains secure.
  • Govern AI Usage Precisely
    Establish detailed governance policies tailored to specific users, applications, and actions to enhance security.
  • Prevent Sensitive Data Exposure
    This feature prevents sensitive information from being inadvertently shared or leaked during AI interactions, ensuring compliance with data privacy regulations.
  • Block Malicious Input
    By stopping prompt injections, this feature protects AI behaviors from being manipulated, thus maintaining the integrity of decision-making.
  • Customizable Protection
    Give organizations control over how they protect sensitive data with tailored security policies.
  • Identify Unsanctioned AI Usage
    Uncover unauthorized AI tools and applications in use, allowing organizations to manage and streamline AI governance.
  • Enforce Real-Time Policy Decisions
    Monitor and control AI agent actions dynamically to ensure compliance and security during execution.
  • Respond Instantly to Threats
    This capability allows organizations to react quickly to emerging threats, limiting potential damage and reinforcing the security posture of AI applications.
  • Govern Live Agent Actions
    Enforcing policies at runtime ensures that AI agents perform actions within safe parameters, reducing the risk of harmful outputs.
  • Seamless Integration
    Integrates with existing monitoring systems, facilitating thorough oversight of security incidents.
  • Enhance Decision Accuracy
    By analyzing interaction contexts, this feature helps AI agents make informed decisions while ensuring compliance with designated policy frameworks.
  • Identify and Manage Risk
    Enhances visibility into AI deployments, facilitating better governance and risk management throughout the AI lifecycle.
  • Global Reach
    Ensures comprehensive protection for diverse applications and varying user needs worldwide.

AI Red Teaming

Risk-based testing for AI applications and agentic systems. Provides structured adversarial testing across the AI stack with actionable remediation guidance.

  • Critical Workflow Analysis
    Identifies vulnerabilities throughout the entire lifecycle of agent interactions, ensuring robust defenses.
  • Ensures Comprehensive Coverage
    Evaluates AI resilience against a variety of attack methods to strengthen security protocols.
  • Streamlines Security Processes
    Reduces manual testing burdens and provides ongoing evaluation of AI systems in real time.
  • Facilitates Quick Resolution
    Ensures engineering teams can address vulnerabilities swiftly, minimizing risk exposure.
  • Provides In-Depth Understanding
    Delivers critical insights into risk factors, allowing for informed decision-making in governance.
  • Maximizes Remediation Efficiency
    Enables targeted efforts on the most critical vulnerabilities, optimizing resource allocation.

AI Red Teaming Service

Expert-led adversarial testing service for AI systems, delivering runtime testing, detailed findings, and remediation guidance to strengthen defenses against AI-native threats.

  • Identify Vulnerabilities
    Employs expert methodologies to uncover gaps in security that standard testing mechanisms might overlook.
  • Enhance System Resilience
    Ensures that testing reflects real-world conditions, thereby giving a true assessment of the system's security.
  • Address Core Risk Categories
    Focuses on testing for damaging content generation, security vulnerabilities, and compliance issues.
  • Deliver Strategic Insights
    Provides essential insights for decision-makers to understand security posture and prioritize risk mitigation.
  • Prioritize Remediation Efforts
    Offers clear steps for addressing identified vulnerabilities to strengthen overall system security.
  • Ensure Long-Term Security
    Facilitates proactive risk management with a dynamic testing approach adapted to system changes.

References

Methodology and sourcing behind the market figures shown above.

Adversarial testing and threat modeling

Estimate anchored to recent market reports in the search results. Credence Research values the threat-modeling tools market at USD 1,049.6M (2024) with a 13.84% CAGR; MarketsandMarkets gives a similar multi-year trajectory (USD 0.8B in 2022 to USD 1.6B by 2027, ~14.9% CAGR). One outlier (MarketResearchFuture) reports a much larger scope ($12.55B in 2024, CAGR 16.57%)—likely a broader definition. I adopt the near-term consensus (~USD 1.05B) and ~14% CAGR as the best-supported estimate for this segment.

AI governance and agent monitoring

Estimate uses agentic AI governance market data as the best match for “AI governance and agent monitoring.” Mordor Intelligence explicitly sizes agentic governance at USD 7.28B (2025) with a 39.85% CAGR to 2030. Broader AI governance sources (GMInsights, MarketsandMarkets, Precedence) show smaller core governance figures (USD 0.31–0.84B in 2025) but similarly high CAGRs (31–45%), reflecting strong regulatory and enterprise adoption drivers. I selected the Mordor agentic governance figure because it specifically addresses governance for autonomous/agentic systems, which aligns with the marketSegment description.

Prompt security and data leakage prevention

Estimate based on MarketsandMarkets agentic AI security figures (which explicitly include prompt-security tools and guardrails). Agentic AI security is projected at USD 1.65B in 2026 and USD 13.52B by 2032 (CAGR 42%); prompt-security and data-leakage prevention is a focused subsegment (tooling, guardrails, runtime protections) plausibly representing a meaningful share of the broader agentic AI security market today—roughly $0.5B—and expected to grow at a similar high rate as enterprises adopt AI guardrails and runtime DLP (estimated CAGR ~40%).

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