singularitycyber.com

What It Is

Singularity Cybersecurity LLC positions itself as an “AI security research lab,” with a core focus on building the security layer for AI Agents. The website indicates that its research and updates have moved to rexcoleman.dev, while the original site still showcases three planned open-source tools: AgentArmor, SkillVet, and RedClaw. This is not yet a mature commercial security platform, but rather an early-stage project aiming to turn research into products.

Core Capabilities and Protection Scope

Its protection focus is very specific: AI Agent runtime behavior, third-party skill security, and automated red teaming. AgentArmor is planned to detect abnormal tool calls, privilege escalation, and data exfiltration at runtime. SkillVet is intended to scan third-party agent skills for malicious patterns and permission violations, with an emphasis on behavioral sandboxing of “running skills” rather than static scanning. RedClaw is planned for automated red teaming of AI Agents, producing vulnerability reports mapped to OWASP Agentic. Published research covers prompt injection, tool manipulation, memory poisoning, RL Agent attacks, and ML governance frameworks, suggesting its technical direction is grounded in real attack experiments.

Deployment, Integration, and Management

The website clearly states that these tools are in the design phase, with an expected timeline of Q2 2026, and that no code has shipped yet. As a result, there is not enough information about deployment methods, consoles, alerting channels, APIs, CI/CD integrations, or SIEM integration capabilities. The only confirmed points are that the tools are planned to be open source, and that RedClaw reports will map to the OWASP Agentic Top 10. AgentArmor is intended to provide real-time detection semantics, but there are no details on policy configuration, incident response, or false-positive handling.

Pricing and Compliance

There is currently no information on pricing, payment methods, commercial editions, SLAs, or enterprise support. There is also no visible evidence of compliance certifications such as SOC 2, ISO 27001, or GDPR. For enterprise procurement, this means it cannot yet be evaluated through the standard security product process in terms of total cost of ownership, compliance boundaries, or service guarantees.

Pros, Cons, and Best Fit

Its strengths are its forward-looking direction and clearly defined problem scope, covering default-configuration weaknesses in AI Agents, credential exposure, prompt injection, and tool abuse. It is suitable for AI security researchers, Agent developers, and security teams that want to build early awareness of Agentic AI risks. The downside is that the products have not yet been released, so practical usability, false-positive rates, performance impact, and enterprise-grade support are all unknown. At this stage, it is better suited for early-access subscriptions, research tracking, and internal security methodology reference, rather than being treated as a production-ready protection solution.

Access from China and Alternatives

Accessibility from mainland China cannot be determined from the available text alone, so it should be considered unknown; payment methods are also undisclosed. If immediate deployment is required, organizations can combine existing application security, cloud security, DLP, zero-trust, and log analysis platforms, while also monitoring domestic and international solutions for model security evaluation, prompt-injection protection, AI gateways, and runtime monitoring as interim alternatives.