// Platform

The machine behind the loop.

Autonomous exploitation only earns trust if you can see inside it. Here's how Rift's agents reason, prove, and stay on the rails — and how it all wires into the way you already ship.

// Philosophy

Proof over probability

A scanner hands you a pile of 'possibles' and makes verification your problem. Rift inverts that: an agent only reports a finding once it has fired a real exploit and captured the receipt. What reaches you is true.

Explore, then verify

Separate agents discover and confirm. The one that finds a weakness isn't the one that decides it's real — so plausible-but-wrong findings don't survive.

Reason, don't pattern-match

Agents build a model of your app and infrastructure and plan attacks against it, chaining steps the way a human operator would.

Evidence, always

Every finding carries the request, payload, and response that proves it — and every action is logged for full replay.

100%
Findings backed by an exploit
0%
False-positive SLA
Independent validators per finding
Full
Replay log of every action
// The loop

SAST, DAST, and pentesting — one cycle

The same model that reads your code drives your running app and fires the exploit that proves the bug — then re-tests the fix on the next deploy. Hover a stage to explore it.

One loopALWAYS ON1SAST2DAST3EXPLOIT4TRIAGE5REMEDIATE
Stage 1 / 5

Read the code

Agents ingest your source, infra-as-code, and CI config — building a white-box model of where untrusted input can reach sensitive sinks.

// Architecture

What's under the hood

Coordinator

Plans the engagement, allocates agents across the attack surface, and keeps work within authorized scope.

Autonomous agents

Parallel recon, reasoning, and exploitation agents that explore independently and hand off discoveries.

Attack runtime

An isolated, instrumented environment where exploits are built and fired safely against the target.

Validators

Independent verification that a finding is real and exploitable before it's ever surfaced to a human.

Triage & dedupe

Findings scored by exploitability, deduped against history, and stripped of noise.

Findings & intelligence

The report layer: evidence, reproduction, remediation guidance, and ticket routing.

// Guardrails

Autonomous, not reckless

01

Scope-locked by design

Agents physically cannot act outside the assets and domains you authorize. Every target is verified before a single packet flies.

02

Safe-by-default exploitation

Proof-of-impact without the damage — it confirms a SQLi exists without dumping your database or altering state.

03

Production-aware throttling

Rate-limits and quiet-hours respect live traffic, so a continuous scan never reads as a self-inflicted DoS.

// Integrations

Wired into how you ship

Findings land where your team already works, with reproduction steps attached. No new dashboard to live in.

GitHubGitLabJiraLinearSlackServiceNowBurpAWSCloudflareWebhooksSARIF / CI

See the loop run on your own surface.

Get early access and we'll bring you on the moment Rift is ready.