Lakera Inc
UnclaimedEnterprise 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-teamingAI Red Teaming Service
Proactively uncover safety and security risks in your AI applications with expert-led testing.
www.lakera.ai/ai-red-teaming-servicesMarket segments
Market size by segment
Growth potential (CAGR)
Adversarial testing and threat modeling
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
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
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 ThreatsThis feature allows Lakera Guard to continuously improve its detection and prevention capabilities based on recent trends and attack patterns.
- Immediate Threat ResponseEnables rapid identification and mitigation of potential security risks, keeping AI operations safe.
- Protect Data In PromptsImplement safeguards that adapt based on the context of interactions, ensuring sensitive data remains secure.
- Govern AI Usage PreciselyEstablish detailed governance policies tailored to specific users, applications, and actions to enhance security.
- Prevent Sensitive Data ExposureThis feature prevents sensitive information from being inadvertently shared or leaked during AI interactions, ensuring compliance with data privacy regulations.
- Block Malicious InputBy stopping prompt injections, this feature protects AI behaviors from being manipulated, thus maintaining the integrity of decision-making.
- Customizable ProtectionGive organizations control over how they protect sensitive data with tailored security policies.
- Identify Unsanctioned AI UsageUncover unauthorized AI tools and applications in use, allowing organizations to manage and streamline AI governance.
- Enforce Real-Time Policy DecisionsMonitor and control AI agent actions dynamically to ensure compliance and security during execution.
- Respond Instantly to ThreatsThis capability allows organizations to react quickly to emerging threats, limiting potential damage and reinforcing the security posture of AI applications.
- Govern Live Agent ActionsEnforcing policies at runtime ensures that AI agents perform actions within safe parameters, reducing the risk of harmful outputs.
- Seamless IntegrationIntegrates with existing monitoring systems, facilitating thorough oversight of security incidents.
- Enhance Decision AccuracyBy analyzing interaction contexts, this feature helps AI agents make informed decisions while ensuring compliance with designated policy frameworks.
- Identify and Manage RiskEnhances visibility into AI deployments, facilitating better governance and risk management throughout the AI lifecycle.
- Global ReachEnsures 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 AnalysisIdentifies vulnerabilities throughout the entire lifecycle of agent interactions, ensuring robust defenses.
- Ensures Comprehensive CoverageEvaluates AI resilience against a variety of attack methods to strengthen security protocols.
- Streamlines Security ProcessesReduces manual testing burdens and provides ongoing evaluation of AI systems in real time.
- Facilitates Quick ResolutionEnsures engineering teams can address vulnerabilities swiftly, minimizing risk exposure.
- Provides In-Depth UnderstandingDelivers critical insights into risk factors, allowing for informed decision-making in governance.
- Maximizes Remediation EfficiencyEnables 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 VulnerabilitiesEmploys expert methodologies to uncover gaps in security that standard testing mechanisms might overlook.
- Enhance System ResilienceEnsures that testing reflects real-world conditions, thereby giving a true assessment of the system's security.
- Address Core Risk CategoriesFocuses on testing for damaging content generation, security vulnerabilities, and compliance issues.
- Deliver Strategic InsightsProvides essential insights for decision-makers to understand security posture and prioritize risk mitigation.
- Prioritize Remediation EffortsOffers clear steps for addressing identified vulnerabilities to strengthen overall system security.
- Ensure Long-Term SecurityFacilitates 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.
- Market size was valued at USD 1,049.6 million in 2024; expected to reach USD 2,960.62 million by 2032, CAGR 13.84%.
- grow from an estimated USD 0.8 billion in 2022 to USD 1.6 billion by 2027 (CAGR 14.9%).
- 2024 Market Size $12.55 Billion; CAGR 16.57% (2025-2035).
- $1.08 Bn in 2024, projects $4.29 Bn by 2034, representing a 14.8% CAGR.
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.
- Market size reached USD 7.28 billion in 2025; forecast to USD 38.94 billion by 2030 at a 39.85% CAGR.
- The global AI governance market reached USD 839.2 million in 2025; CAGR (2026–2035) 31.4%.
- Projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, CAGR 45.3%.
- AI governance market valued at USD 309.01 million in 2025; projected to USD 5,883.90 million by 2035, CAGR 34.27%.
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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# Lakera Inc *Also known as Lakera* - Website: https://lakera.ai - Location: San Francisco, CA, United States - AI agent profile: https://nowen.ai/agents/lakera-ai - Industry: Enterprise Security > Enterprise AI security company providing governance, risk visibility, and runtime protection for AI agents and GenAI deployments. 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:** 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. ## Products & Services ### [Lakera Guard](https://platform.lakera.ai/) *Product* Lakera Guard protects AI systems from cybersecurity risks in real-time. - **Adaptive Guardrails** — Adapts To New Threats - **Real-time Context-aware Detection** — Immediate Threat Response - **Context-aware Data Protection in Prompts** — Protect Data In Prompts - **Granular Policy Controls by User, App, and Action** — Govern AI Usage Precisely - **Data Leakage Protection** — Prevent Sensitive Data Exposure - **Prompt Attack Prevention** — Block Malicious Input - **Enforcement Controls** — Customizable Protection - **Shadow AI Discovery Across Apps and Browsers** — Identify Unsanctioned AI Usage - **Runtime Governance for AI Interactions** — Enforce Real-Time Policy Decisions - **Real-Time Threat Detection** — Respond Instantly to Threats - **Runtime Protection for AI Applications** — Govern Live Agent Actions - **Enterprise Auditing and Integrations** — Seamless Integration - **Dynamic Contextual Insight** — Enhance Decision Accuracy - **Agent Discovery and Governance** — Identify and Manage Risk - **Language and Multimodal Coverage** — Global Reach ### [AI Red Teaming](https://www.lakera.ai/ai-red-teaming) *Platform* Proactively uncovers safety and security risks in AI applications, enhancing security and compliance. - **End-to-End Agent Workflow Testing** — Critical Workflow Analysis - **Direct and Indirect Attack Simulations** — Ensures Comprehensive Coverage - **Automated Red Teaming Capabilities** — Streamlines Security Processes - **Collaborative Remediation Guidance** — Facilitates Quick Resolution - **Comprehensive Risk Analysis** — Provides In-Depth Understanding - **Risk-Based Vulnerability Management** — Maximizes Remediation Efficiency ### [AI Red Teaming Service](https://www.lakera.ai/ai-red-teaming-services) *Service* Proactively uncover safety and security risks in your AI applications with expert-led testing. - **Expert-Led Adversarial Testing** — Identify Vulnerabilities - **Runtime Testing Against Live AI Systems** — Enhance System Resilience - **Comprehensive Risk Coverage** — Address Core Risk Categories - **Executive Risk Summary** — Deliver Strategic Insights - **Technical Findings and Remediation Guidance** — Prioritize Remediation Efforts - **Continuous Adversarial Testing Workflow** — Ensure Long-Term Security ## Market Segments - **Adversarial testing and threat modeling** (market size $1.1B, CAGR 13.84%): 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** (market size $7.3B, CAGR 39.85%): 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** (market size $500M, CAGR 40%): 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.
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