Lakera vs Noma Security

Lakera is a Zurich-based AI security company founded in 2021 by former Google, Meta, and aerospace engineers. The company provides the Lakera Guard platform, which offers real-time prompt injection prevention, data leakage protection, jailbreak detection, and AI agent security for enterprise generative AI deployments. It operates across workforce AI security, AI agent security, and AI red teaming, with sub-50ms runtime latency and a SaaS-first, API-first architecture. Lakera is the creator of Gandalf, a widely used AI security educational game with over 1 million players and 80M+ prompts collected, which provides a continuously updated threat intelligence database. The company is cited in the OWASP LLM and GenAI Security Landscape Guide 2025, recognized as a Representative Vendor in the 2024 Gartner Innovation Guide for Generative AI (TRiSM), and had Lakera's CEO join the World Economic Forum 2024 alongside Yann LeCun and others. Named customers include Dropbox and a top-3 US bank.

Noma Security is a security and governance platform for AI agents and the wider AI lifecycle. It was founded in 2023 by Niv Braun (CEO) and Alon Tron (CTO), who met in the Israel Defense Forces' 8200 intelligence unit. Its contact page lists a single office, in New York, and its development center is in Tel Aviv. Noma has raised $132 million: a $7 million seed round led by Glilot Capital Partners and a $25 million Series A led by Ballistic Ventures, announced together when it came out of stealth (reported October 31, 2024), and a $100 million Series B led by Evolution Equity Partners in July 2025, with Ballistic and Glilot taking part. Databricks Ventures made an undisclosed investment in June 2025, alongside a partnership with Databricks. The platform has four products. AI-SPM finds agents, MCP servers, skills, models and tools across cloud platforms, SaaS platforms, code repositories and endpoints (through existing EDR or MDM tools), and flags misconfigurations such as excessive agency, unsandboxed agents and secrets in agent instructions. It also scans models from open registries such as Hugging Face for malicious artifacts, hidden instructions and known vulnerabilities, and assesses MCP servers for supply chain risk. Agent Access Control defines which agents are approved, what data they can reach and what actions they can take. AI-DR monitors agent sessions at runtime for prompt injection (including indirect injection through tool responses), data leakage, tool poisoning and scope violations; it can alert, block, mask data inline, steer the agent, require human approval or stop it with a kill switch. AI Red Teaming runs multi-turn attack campaigns against apps and agents, including in CI/CD pipelines, and feeds findings into runtime policies. Policies are enforced through agent hooks, AI and MCP gateways, agent SDKs and APIs. Noma covers SaaS agents built in Microsoft Copilot Studio and Salesforce Agentforce, and homegrown agents on Amazon Bedrock, Azure AI Foundry and Databricks or built with LangChain and CrewAI. Since February 2026 it has been available through the Extended plan of AWS Security Hub, covering Amazon Bedrock and SageMaker workloads. **AI compliance coverage** Noma says its AI-SPM and red-teaming findings map to the NIST AI RMF, the EU AI Act and ISO 42001, as well as the OWASP Top 10 for LLMs and MITRE ATLAS, and its red-teaming product offers these frameworks as compliance presets. A UiPath case study on its site says Noma's scanning supported UiPath's ISO/IEC 42001:2023 certification. We found no published control-by-control mappings. **Who it's for** Large enterprises with many AI agents across endpoints, SaaS and cloud that want one security layer from discovery to runtime. Noma says it is used by more than 10% of the Fortune 100, and testimonials on its site come from people at UiPath, Kantar, Best Buy, Nielsen and Endor Labs.