Today, every endpoint and cloud workflow is an autonomous ecosystem. Coding agents, MCP servers, and physical AI systems inherit human credentials. Spectre AI lets you see, authorize, and govern everything an agent says, calls, and does.
Agents inherit human power, but security still treats them as static software. Guardrails see the prompt but not the OS syscall; EDR sees the syscall but not the intent.
Claude Code, Cursor, Codex, and local MCP servers run as trusted, signed binaries under a legitimate user session. Traditional EDR stays completely silent when a hijacked agent reads ~/.ssh or cloud credentials.
Indirect prompt injection via a poisoned email, web page, or ticket no longer just produces bad text — it triggers a kubectl deployment, a database export, a wire transfer, or a ransomware script.
As autonomous agents move into industrial controllers, hospital systems, warehouse fleets, and counter-UAS platforms, enterprises need deterministic runtime boundaries that work 100% offline.
Post-execution SOC alerts arrive hours too late when an autonomous agent executes dozens of tool calls per second. Spectre AI enforces policy inline.
Watch how Spectre AI sees full agent lineage, understands adversarial intent, intercepts the tool call or OS syscall at the midpoint gate, and prevents execution in microseconds.
Formed by combining VotalAI and 1stProtect, Spectre AI unifies model guardrails, host agent containment, endpoint syscall prevention, and continuous red teaming.
Define what AI agents can say, access, and invoke in real time — sitting directly in the execution path between users, LLMs, RAG pipelines, and MCP servers.
vai35-4B-v2 and NVIDIA Nemotron guardrail models.Establish a strict host-level sandbox for Claude Code, OpenAI Codex, Cursor, SRE agents, and local MCP servers without slowing developers down.
Human → Agent → Tool → OS Action in <100 ms.~/.ssh, ~/.aws, kubeconfigs, or browser session stores.Deploy deterministic syscall prevention alongside CrowdStrike or Microsoft Defender. Operates 100% in user space with zero kernel drivers and zero BSOD risk.
An automated multi-turn RLHF red-teaming engine that probes your AI applications, RAG stores, and multi-agent workflows continuously — and turns every finding into an active Guardrail and SIGMA policy.
When an AI agent controls a surgical robot, factory actuator, autonomous vehicle, or counter-UAS defense system, safety cannot depend on a cloud API call.
Every prompt, MCP tool call, Non-Human Identity token, and child OS syscall is evaluated continuously. Click any active rail on the left to filter the live decision feed, or inject a test attack.
| Time | Agent / Process | Role | Tool / Syscall | Verdict | Latency | Enforcement Note |
|---|
From autonomous espionage campaigns to zero-click copilot leaks and AI-synthesized ransomware, Spectre AI stops the kill chain at both the model layer and the OS syscall.
Autonomous coding agent executed ~80–90% of an intrusion across ~30 targets at machine speed (Anthropic Threat Intelligence).
A single operator compromised 17+ organizations using agentic workflows for reconnaissance, exfiltration, and extortion.
Malware invokes a local LLM at runtime to generate fresh, polymorphic encryption scripts per victim host (ESET Research).
Zero-click Copilot leak where a single crafted email exfiltrated internal data and bypassed text classifiers (arXiv 2509.10540).
Poisoned web-form fields hijacked CRM agent workflows to siphon customer records through an external domain.
Hidden page instructions caused an autonomous browser agent to read user email and exfiltrate one-time passcodes (Brave Security).
Keep the EDR you already deployed. Add Spectre AI for deterministic agent governance, ~400 µs syscall prevention, and continuous agentic red teaming.