Agnys

AGNYS is an enterprise-grade observability, attribution, and compliance platform purpose-built for AI agents. As AI agents increasingly take autonomous actions—such as sending emails, writing to databases, or calling paid APIs—they operate as "compliance black boxes," leaving teams with no reliable record of what they did or why. AGNYS solves this by capturing every agent action and organizing it into a structured, tamper-evident audit trail that answers exactly what happened, who authorized it, if the behavior was normal, and whether it complies with global regulations. Core Capabilities & Differentiators: Dual-Capture Integration: AGNYS seamlessly monitors both the agents your engineering team builds and the third-party AI tools your employees use. Developers can integrate custom agents built on frameworks like LangChain, AutoGen, and LlamaIndex using a simple 3-line Python or Node.js SDK. For external applications like ChatGPT, Claude Desktop, or local models, a zero-code Desktop Forwarder captures activity via a local HTTPS proxy and log tailing without requiring any code changes. Cryptographic Chain of Custody: To satisfy strict security and auditor requirements, every single agent event is recorded and SHA-256 hash-chained to its predecessor. This provides mathematical proof that an audit log has not been tampered with; if a single record is altered, the entire verification chain fails. Deterministic Compliance & Auditor-Ready Exports: Instead of generic logging, AGNYS evaluates real activity against 18 deterministic, code-based compliance checks mapping directly to regulations like the EU AI Act, GDPR, SOC 2, HIPAA, and ISO 42001. Teams can generate and export digitally signed PDFs or CSVs with control-level pass/fail findings, providing immediate, mapped evidence for auditors. True Attribution Model: AGNYS goes beyond raw event counting to establish exactly who is accountable for an AI's action. It categorizes every trace by automation level—determining if it was `human_initiated`, `human_in_loop`, `full_auto`, or background `system` noise—and traces the action back to the original human instructor, rather than just the immediate system caller. Behavioral DNA & Circuit Breakers: The platform learns an agent's baseline behavior across dimensions like timing, tool usage, and operation speed. If an agent severely deviates from this baseline or triggers critical anomaly rules, an automated "Circuit Breaker" will trip, halting further automated actions to prevent a malfunctioning agent from causing harm at scale. AI Search Lab & AQL: Users can query their agent telemetry using "AQL" (a Splunk-style query language purpose-built for AI logs) or by asking plain-English questions. For instance, a user can ask "why did my agent send emails at 2am," and the system's AI layer will translate it into a structured query to return matching events. Who is it for? AGNYS is designed for Engineering Leaders, CISOs, and Compliance Officers who need to prove their AI systems are governed and secure. It is especially critical for teams facing strict regulatory deadlines, such as the EU AI Act's mandatory logging requirements for high-risk AI systems.