
Your IdP can issue an agent a cryptographic identity, scope its permissions per task, and rotate credentials hourly. None of that stops the process. Sevorix evaluates every shell command, outbound request, and syscall inside a supervised process tree against your policy — before it executes.
Application-level guardrails rely on intent; Sevorix relies on physics. When an autonomous agent goes rogue, we return EPERM at the kernel before the payload ever executes.
Agents have "God Mode" access but lack judgment. A single hallucination can wipe your production database in milliseconds.
Firewalls block bad IPs, but agents are trusted insiders. Traditional security is blind to lateral movement from authorized AI.
Human security teams react in days. AI attacks happen in milliseconds. You need a machine to fight a machine.
Stop hoping your LLMs behave. Enforce absolute boundaries at Ring-0 and generate structured audit records that support your Art. 12 record-keeping and ISO 42001 evidence requirements.
Sevorix decouples "Intelligence" from "Action." Your AI models can hypothesize, hallucinate, or be manipulated—but they can only execute what your kernel-level policy allows.
Every AI tool call (SQL, Shell, API) and underlying system call is captured by the Sevorix runtime environment before it ever touches your critical infrastructure. We don't just monitor application intent; we monitor the OS kernel.
The Policy Engine instantly cross-examines the requested action against your security boundaries. We map your GRC controls to deterministic execution rules.
Authorized actions execute seamlessly. Unauthorized network requests, data exfiltration attempts, or destructive commands trigger the Deterministic Kill Switch. We return EPERM to the calling process, issue a TCP RST, or send SIGKILL where the policy sets kill: true, and generate structured, exportable audit records. Escalate to a human operator only where you configure it.
System-level interception of autonomous compute.
The operational layer houses dynamic AI frameworks like LangGraph, CrewAI, and AutoGen. Because autonomous agents are susceptible to prompt injections, hallucinations, and raw shell drops, Sevorix treats this entire node as fundamentally untrusted compute.

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Registers the agent's process tree into a shared eBPF map at launch. Sitting at the OS layer, Sevorix evaluates every shell command, outbound request, and intercepted syscall against deterministic enterprise governance policies — dropping the connection before the first packet leaves the node.
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Your enterprise crown jewels. Internal databases, proprietary APIs, VPCs, and root files remain completely isolated from rogue AI behaviors. Sevorix ensures zero unauthorized outbound data exfiltration and blocks East-West lateral movement.

Three outcomes, not two.
EPERM, TCP RST, or SIGKILL where the policysets kill. Deterministic — no model sits in this path. If a rule says deny, thesyscall fails every time.
eBPFrewrites the destination at the kernel layer, routing the agent into anisolated honeypot serving mocked data with tracking beacons. It believes itsucceeded — so the retry loop never starts, and you map the attacker'sinfrastructure while they think they're winning.
Known-goodpatterns pass with no measurable overhead. A cache hit returns a verdict from alocal SHA-256 signature match.
From localhost experimentation to air-gapped enforcement.
Traditional firewalls filter packets. Identity systems verify principals. Sevorix filters actions. It sits between your agent and the system it's operating on, evaluating every shell command, outbound request, and syscall against your policy before execution. If an agent attempts a destructive or unauthorised action — from a bad inference or a successful jailbreak — the call fails at the OS, not at a prompt.
Three paths. In-kernel blocks resolve at Ring-0 with no round trip. Cache hits — a SHA-256 match against the local semantic cache — return in nanoseconds. Only a cache miss escalates to concurrent multi-model evaluation, inside a sub-50ms end-to-end budget. Allowed traffic on a known pattern adds no measurable overhead.
Different layers, and you probably want both. An MCP server or L7 gateway governs the tool calls your agent declares — structured, well-formed, visible at the application layer. Sevorix governs what actually executes. If an agent is injected into dropping to a raw shell or opening a socket directly, it never touches the gateway; Sevorix still sees the execve or connect. The gateway is policy. We're enforcement.
Sevorix enforces at the host level, so it's framework-agnostic — it sees what the process does, not what the framework intended, and works the same for raw Python as for any orchestration library. It requires the agent to run inside a supervised process tree. On Kubernetes that's automatic: a mutating admission webhook injects the interception layer into targeted pods with no application changes. On laptops and enclaves the agent launches through our shim. We ship a first-class integration for Claude Code today, with Codex and OpenClaw in development.
Depends on the tier, and we'll be precise. Lite runs entirely on your machine — no account, no telemetry. Pro enforces locally and syncs event metadata to your Watchtower dashboard, 7-day retention. Enterprise is self-hosted or air-gapped; enforcement and storage both stay inside your boundary. Centralised policy sync, the shared audit ledger, and fleet-wide STEER live on Enterprise where you deploy them. In every tier, before anything is escalated for evaluation, zero-copy tokenization scrubs PII locally — sensitive values are swapped for sterile tokens and never leave your VPC. Enforcement decisions are always made locally; no action waits on a network call to us.
You cannot prompt-inject a Linux kernel firewall. No runtime layer stops injection — it happens in the context window, before an action exists to intercept. What Sevorix changes is the blast radius. Assume the injection succeeds. Assume the model is fully compromised and doing exactly what an attacker wants. It still has to make a syscall to do damage, and that syscall meets a policy written by you, not by the model. We don't secure the prompt. We make it survivable.
Two layers, two jobs. The kernel layer is deterministic and unconditional. It doesn't reason, it doesn't score, it enforces. If a rule says deny, the syscall fails — every time, regardless of what the model believes it's doing. Above it, Jury of Rivals handles the cases policy can't express as a pattern: three heterogeneous models, adversarial personas, concurrent evaluation, majority required to block. It is probabilistic, and the architecture treats it that way — it can only narrow what the deterministic floor already permits, never widen it. A hung jury doesn't open a door.
It degrades before it blocks, and it never opens.
Startwith what isn't affected. Your deterministic policies live in compiled eBPFmaps on the node. They don't call out, they don't wait on anything, and they have no network dependency — a total loss of connectivity to Sevorix changes nothing about whether a denied syscall is denied on your box. On Lite and Pro that is the decision path: there's no external evaluation to fail.
Escalation exists on Enterprise, where actions your policy can't express as a pattern go to Jury of Rivals. That path degrades in stages: connectivity loss has no effect on kernel enforcement; a slow or erroring cloud jury trips the circuit breaker and reroutes over a local UNIX socket to the on-node SLM jury; if thelocal jury is unavailable or not deployed, the terminal case is block. The absence of a verdict is never counted as approval.
What never happens is fail-open. There is no timeout, outage, or degraded mode in which an action we could not evaluate is allowed through. Security over uptime is the constraint the system is built around; the failover path exists so that constraint costs as little availability as possible — not so it can be relaxed.
Every Block, Steer, and Flag event records the agent identity, the intercepted action, the matching policy, the verdict, and a timestamp — structured, exportable audit records for the chain of custody your HIPAA, ISO 42001, and EU AI Act auditors will ask for.
Yes — and you don't have to start there. Policies are JSON or YAML: substring, regex, or an external checker binary, scoped to shell, network, or syscall context and grouped into roles. Rules hot-reload without restarting agents. For enterprise, Watchtower ingests your existing compliance documents and compiles them into deterministic constraints, then signs the compiled policy with your enterprise private key before it's pushed to the fleet. The local daemon verifies that signature against a pinned public key before it touches the eBPF maps — invalid, missing, or altered in transit, the update is dropped and the fleet alerts.