Noma Security vs Robust Intelligence

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.

Robust Intelligence was an AI security company founded in 2019 by Yaron Singer, a Harvard computer science and applied mathematics professor who became its CEO, and Kojin Oshiba, his former student. It was based in San Francisco and also had operations in Israel. Sequoia Capital led its seed and Series A rounds ($14 million combined, announced in October 2020), and Tiger Global and Sequoia led a $30 million Series B in December 2021, bringing its funding to about $44 million. Cisco Investments was also an investor. Cisco announced its intent to acquire Robust Intelligence on August 26, 2024 and completed the deal on September 24, 2024. The price was not disclosed. Robust Intelligence is no longer a separate product: its technology is the core of Cisco AI Defense, which Cisco unveiled on January 15, 2025 and said would be available that March. Buyers should evaluate Cisco AI Defense. **What it sold** Robust Intelligence started with RIME (the Robust Intelligence Model Engine), built around an "AI Firewall" that wraps a model, checks its inputs and outputs, and stress-tests it. Its later platform had two parts. AI Validation automatically tested models for security and safety vulnerabilities (such as prompt injection and data poisoning) before and after deployment, scanned open-source models, data and files for supply chain vulnerabilities such as malicious pickle files, recommended guardrails and produced reports. AI Protection applied those guardrails in production. It ran as SaaS in Robust Intelligence's private AWS VPC or as a hybrid deployment with a self-hosted data plane, and it integrated with observability and SIEM tools such as Splunk, Datadog, CrowdStrike and AppDynamics. The company also co-developed the AI Risk Database and said it co-authored NIST's adversarial machine learning taxonomy and contributed to the OWASP Top 10 for LLM Applications. **Frameworks** Its product page says tests were mapped to the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST's adversarial machine learning taxonomy, the EU AI Act and the White House executive order on AI. It does not mention the NIST AI RMF or ISO 42001. Cisco AI Defense maps to the NIST AI RMF, MITRE ATLAS and the OWASP Top 10 for LLMs. **Status** The robustintelligence.com site is still online and describes AI Validation and AI Protection without mentioning Cisco. We found no current way to buy Robust Intelligence separately from Cisco.