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.
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
CRIT
Blind SSRF via /api/v2/preview → AWS metadata exfil
HIGH
IDOR on /users/{id}/exports — cross-tenant data access
HIGH
JWT alg=none accepted by legacy gateway
MED
Stored XSS in comment renderer (admin context)
CRIT
Auth bypass: race in MFA challenge step
MED
Open 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.
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
Coverage of attack surface
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.
GitHub
GitLab
Jira
Linear
Slack
Notion
Discord
PostHog
Snowflake
Google 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.