Lyrie.ai Launches Agent Trust Protocol for AI Security

Dubai-based cybersecurity firm OTT Cybersecurity LLC has officially exited stealth mode with the launch of Lyrie.ai, an autonomous security platform targeting the emerging agentic AI market. The company announced the release of the Agent Trust Protocol (ATP), an open, royalty-free cryptographic standard designed to verify AI agent identity and authority in real time.

The announcement coincides with a $2 million pre-seed funding round, according to the company's official press release on GlobeNewswire. CEO and founder Guy Sheetrit stated the protocol aims to become the foundational trust layer for the agentic AI economy, similar to how SSL/TLS secured the web.

ATP establishes five cryptographic primitives: identity verification, scope definition, attestation of unaltered instructions, delegation tracing, and instant revocation. The reference implementation is available under MIT license at GitHub, with plans to submit the standard to the Internet Engineering Task Force (IETF).

This addresses a genuine problem. Traditional access management systems weren't built for non-human actors operating at machine speed. Every AI agent currently functions anonymously across corporate networks—no identity verification, no scope enforcement, no tamper detection. (This is a massive oversight, frankly.)

The platform also deploys an autonomous threat intelligence engine for zero-day vulnerability tracking. Lyrie.ai claims it can generate disclosure packages with proof-of-concept analysis and remediation guidance within hours of vulnerability discovery. This compresses what is typically a weeks-long exposure window into a matter of hours.

Industry context matters here. Gartner analysts project that by 2028, half of all enterprise incident response efforts will involve AI-driven applications. The OWASP Agentic Security Initiative (ASI 2026) warns the attack surface is expanding beyond malicious prompts to include vulnerabilities like "Agent Goal Hijack" and "Tool Misuse."

OTT Cybersecurity LLC has also been accepted into Anthropic's Cyber Verification Program, a framework for verified dual-use cybersecurity operators. This supports Lyrie's work around vulnerability research and red-team workflows on Claude's AI infrastructure, subject to Anthropic's safety policies.

The physical reality of this technology involves running seven-phase penetration tests from a single command, executing adversarial AI red-teaming workflows on H200 GPU infrastructure, and monitoring global infrastructure through autonomous discovery. It's not just theory—it's production-ready from consumer hardware through enterprise GPU infrastructure.

Competition is already forming. Google Cloud's Gemini Enterprise Agent Platform uses the SPIFFE standard for cryptographic identity, and NIST recently launched its own AI Agent Standards Initiative. The industry is also exploring extensions of OAuth 2.0 and OpenID Connect for autonomous agents.

Whether ATP becomes the universal standard remains uncertain. Open standards win through adoption, not announcements. The company is preparing a Series A round to scale deployment across enterprise and government markets, but the real test comes when security teams actually integrate ATP into their existing infrastructure.

Building security for autonomous AI agents is necessary work. Whether anyone actually pays for it is the question that matters.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn