PharosOne - 2026 Pricing, Features, Reviews & Alternatives

PharosOne is an independent security and compliance platform for enterprises deploying autonomous AI agents across sensitive operations such as financial transactions, customer data access, and refund issuance. The platform spans three integrated product lines: Pharos Framework, an open-source automated attack testing engine; Pharos Runtime, a cloud-based production behavioral monitoring service; and Pharos Audit, a human-led offensive security and penetration testing practice. Findings across all three lines map to a shared set of standards, including AIUC-1, ISO 42001, EU AI Act, NIST AI RMF, and OWASP Agentic Top 10, producing unified, audit-ready evidence for security and compliance teams.

Pharos Framework runs entirely on the user's machine. Its versioned corpus of 118 probes covers prompt injection, indirect injection via documents and tool results, tool misuse, and exfiltration. No API keys, prompts, or transcripts leave the machine. Attack probes are varied through mutation and LLM-paraphrase across multiple languages, and findings are scored by both a deterministic oracle and an LLM judge. SDKs are available for Python, TypeScript, and Go, with LLM client instrumentation wrappers for OpenAI, Anthropic, LangChain, LiteLLM, and OpenAI-compatible providers. A free open-core tier allows immediate use with no API key or Docker required; the paid tier adds the full proprietary corpus, standards mapping, and signed certificates.

PharosOne's certification architecture is designed for regulated industries. The certification server signs findings against compliance standards without ever receiving agent data, making the certificate architecturally neutral and independently verifiable. Pharos Runtime monitors every production session's tool calls, data access, and conversational turns using the pharos-1 model to establish a per-agent behavioral baseline and surface anomalies before they escalate into incidents. Pharos Audit extends coverage to web applications, external perimeter and APIs, internal networks, cloud infrastructure, LLMs and AI agents, source code, mobile applications, Wi-Fi, IoT and firmware, WAF/AV/EDR bypass, and social engineering. The platform targets technology teams, financial services organizations, and any regulated enterprise requiring documented AI governance compliance.