待翻译：Our security harness can hack to get root 9/10 times

AI 服务暂时不可用，以下为来源正文，待恢复后补全翻译。

Autonomous Security Agent - Continuous, Exploit-Validated Pentesting 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. 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.