Prompt Security vs Robust Intelligence

Prompt Security is an AI security product that controls how employees use AI tools and protects the AI applications and agents companies build. Itamar Golan (CEO) and Lior Drihem (CTO), who had worked at Check Point and Orca Security, founded it in August 2023; it is based in Tel Aviv. It raised $23 million: a $5 million seed round led by Hetz Ventures (January 2024) and an $18 million Series A led by Jump Capital (November 2024), with Ridge Ventures, Okta and F5 joining. SentinelOne, the Mountain View, California security company, agreed to buy Prompt Security on August 5, 2025 and completed the deal on September 5, 2025. Its Form 8-K puts the consideration at approximately $180 million in cash and SentinelOne Class A stock. Prompt Security is still sold under its own name, as part of SentinelOne's Singularity Platform. The product page is on sentinelone.com; prompt.security now hosts research and free tools such as the open-source Prompt Fuzzer, and the old press release we checked there redirects to SentinelOne. **What it does** SentinelOne's Prompt Security page lists three areas. AI Usage Control inventories the AI tools and code assistants employees and developers use, including unsanctioned shadow AI, and redacts sensitive data and enforces policies across more than 15,000 AI services in real time. It also covers GitHub Copilot, Cursor and Claude Code, keeping secrets and intellectual property out of them. AI Application Security tests homegrown AI apps for prompt injection, jailbreaks and data poisoning before deployment, runs a real-time AI firewall, and turns red-team findings into guardrails. Agentic AI Security finds shadow MCP servers and unsanctioned agents, enforces least-privilege access for agents and keeps a searchable audit log. SentinelOne says Prompt's MCP gateway scores the risk of more than 13,000 known MCP servers and can allow, block, filter or redact their actions. Prompt deploys through a lightweight agent and browser extensions, and covers major LLM providers, including OpenAI, Anthropic and Google, and self-hosted models. **Product changes since the acquisition** At its OneCon conference in November 2025 SentinelOne launched Prompt Security for Employees, for AI Code Assistants and for AI Applications, plus Prompt Security for Agentic AI in beta. At RSAC in March 2026 it announced Prompt AI Agent Security, a discovery and governance control plane for agents and MCP servers (agent posture management was in preview), and Prompt AI Red Teaming for testing homegrown AI apps. **Frameworks** Neither SentinelOne's Prompt Security pages nor prompt.security name the EU AI Act, ISO 42001 or the NIST AI RMF; they refer only to meeting compliance requirements in general terms. This profile lists no frameworks. **Who it's for** Companies that want to let employees use generative AI and coding assistants while controlling data exposure, especially existing SentinelOne customers. Named customers include 10x Banking and Carnival Corporation.

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.