Autonomous Security Agent · meet Sentinel

The intelligence of a hacker. The discipline of a machine.

Sentinel is an AI employee that pentests your apps like an adversary, validates every finding with a real exploit, and reports like a senior engineer - continuously, at machine scale.

See how Sentinel works
your.app
SQLi
XSS
SSRF
IDOR
RCE
Auth
Path
Race
0+Attack paths explored / month
0%Validated-exploit precision
0xFaster than human pentest
0/7Continuous, never sleeps
Why now

AI attackers never sleep. Neither should your defense.

Vibe-coding and AI copilots are shipping more code than ever - and the same models are powering attackers running 24/7. Annual pentests and pattern-matching scanners can't keep up. The gap between what you built, what you tested, and what is actually exploitable widens every release.

Code volume up 4x with AI copilots
Automated attackers probe every endpoint, hourly
Manual pentests cover < 30% of attack surface
Scanner alerts: 78% false-positive median
sentinel://live · validated findingsstreaming
CRITBlind SSRF via /api/v2/preview → AWS metadata exfil
HIGHIDOR on /users/{id}/exports — cross-tenant data access
HIGHJWT alg=none accepted by legacy gateway
MEDStored XSS in comment renderer (admin context)
CRITAuth bypass: race in MFA challenge step
MEDOpen redirect in OAuth /callback
How Sentinel works

Sentinel tests like an adversary, not a checklist.

A persistent coordinator directs thousands of focused agents in parallel. Each attacks, adapts, and reports back. Every finding is validated before it ever touches your queue.

STEP 01

Scope & launch

Point Sentinel at a domain, repo, or API spec. Set boundaries, auth, and any context that should guide testing.

STEP 02

Map the attack surface

A persistent coordinator crawls every endpoint, parameter, and auth boundary - building a live model of what to attack.

STEP 03

Swarm with parallel agents

Thousands of short-lived agents each take one focused objective - SQLi, SSRF, IDOR, business logic - in parallel.

STEP 04

Validate with real exploits

Findings are only surfaced after a deterministic validator reproduces them non-destructively. Proof, not probability.

Architecture

Built for depth, scale, and trust - simultaneously.

A coordinated system of autonomous agents, deterministic validators, and real offensive tooling. Creative AI discovers. Deterministic logic decides what's real.

Coordinator

Persistent orchestration brain

Holds the global view of your environment, plans attack paths, debriefs agents, and decides what to test next.

Autonomous agents

Short-lived attack workers

Thousands of fresh-context agents reason creatively about one narrow objective, then retire. No context collapse, no bias.

Attack machine

Real offensive tooling

Steerable headless browser plus Burp, ZAP, Nuclei, sqlmap, Semgrep and custom payloads - the toolkit a senior hacker would reach for.

Validators

Deterministic exploit proof

Each finding must pass a controlled, production-safe challenge before it leaves the platform. If it can't be proven, it doesn't ship.

Findings & intel

Engineer-ready reports

Validated results land in your stack with reproduction steps, request/response, blast radius, and a suggested patch.

Proof over probability

If it can't be exploited, it doesn't ship.

Every finding from Sentinel arrives with a reproducible PoC: the exact request, response, and blast radius. No more triaging "maybe-vulns". Your team spends cycles on remediation, not on guessing whether the alert is real.

Reproducible exploit attached to every finding
Deterministic validation, not LLM judgement
Severity backed by actual blast radius
Patch hint generated from the exploit trace
Sentinel vs the restbenchmarked, last 90 days
Verified exploits / week
Scanner
6
Pentest
22
Sentinel
84
False-positive rate
Scanner
78
Pentest
14
Sentinel
2
Time to first finding
Scanner
30
Pentest
100
Sentinel
8
Coverage of attack surface
Scanner
35
Pentest
55
Sentinel
96
Outcomes

Security work that actually moves the needle.

01

Reduce real breach risk

Focus your team on what is actually exploitable - not on a backlog of scanner noise.

02

Shorter path from test to fix

Reproducible exploits with patch hints land directly in Jira, Linear, or GitHub Issues.

03

Keep pace with shipping

Re-test on every deploy. Sentinel adapts as your surface changes - no quarterly windows.

04

Compliance, continuously

SOC 2, ISO 27001, PCI - replace the annual checkbox with a living, evidence-backed pentest.

Trust & safety

Aggressive testing. Adult supervision.

Sentinel is built to run against production - safely. Every action is constrained, observable, and reversible.

Non-destructive validation

Proof challenges are read-only and audited. Sentinel never modifies data or disrupts systems.

Observable by default

Every agent action - request, response, decision - is logged with full replay.

Scoped credentials

Per-target, per-tool least-privilege keys. No shared service accounts, ever.

Guardrails & kill switch

Rate limits, blast-radius caps, and an instant stop - enforced by the coordinator.

Deploy where you need

SaaS, dedicated tenant, or in-VPC. Air-gapped builds available for regulated workloads.

Audit-ready evidence

Signed, timestamped exploit traces - exportable for SOC 2, ISO 27001, and customer security reviews.

Lives where you already work

Findings land in the tools your engineers already open.

GitHubGitHub
GitLabGitLab
JiraJira
LinearLinear
SlackSlack
NotionNotion
DiscordDiscord
PostHogPostHog
SnowflakeSnowflake
Google CloudGoogle Cloud
Questions

Answers for security leaders.

The short version of what most CISOs, AppSec leads, and platform teams ask us first.

Scanners match patterns against a checklist and dump alerts. Sentinel reasons like a hacker, chains primitives, and only reports findings it has actually exploited in a controlled, reproducible way. You get a working PoC, not a CVSS score guess.

Yes. Validation challenges are non-destructive by design - read-only, rate-limited, and bounded by the blast-radius rules you set. Most customers run continuously against production with zero incidents.

No. Sentinel handles the brute-force exploration and validation so your humans focus on judgement: business-logic threat modelling, architecture review, and remediation strategy. It amplifies a senior security engineer.

Trigger Sentinel from CI on every merge to main, or run it continuously against staging and production. Validated findings flow into Jira, Linear, or GitHub Issues with reproduction steps and patch suggestions.

Every finding ships with a working exploit. If the validator cannot reproduce it on demand, it never reaches your queue. In practice that puts precision above 96 percent.

Yes - public web, internal apps via a deployed runner, REST and GraphQL APIs, mobile backends, and LLM-powered features (prompt injection, tool-call abuse, data exfil).

Hire Sentinel

Put an always-on adversary on your team.

See Sentinel run a live, exploit-validated pentest against a target of your choice. 30-minute call, real findings, no slideware.