Your AI security engineer — scales with code, not headcount60 seconds to coverage · not 9 months to hire

Hire an AI security engineer in 60 seconds.

Your team is shipping faster than security can review. Securie sits in GitHub and your deploy path: every PR is reviewed, real exposure is proved, fixes arrive as pull requests, unsafe deploys stop, and customer-ready evidence is already signed.

Best fit

B2B SaaS and AI-app teams

10-30 engineers, enterprise prospects scrutinizing security posture, and no time to wait 9 months for an AppSec hire.

Acquisition wedge

Founders using Cursor, Lovable, v0, Bolt, Replit

Start with a free public review or a one-time launch scan, then upgrade when the first real customer asks security questions.

Expansion path

Security and regulated buyers

Scale and Enterprise add runtime Watch and custom deployment.

Best first fit: B2B SaaS and AI-app teams that need security-ready security evidence before the next customer review. Free and one-time scans are the wedge; Business and Scale are where the labor-replacement math compounds.

Coverage starts today.Designed to replace Snyk + Mobb + 0.5 FTE AppSec — for less than the hire alone.

Find your fit

Why Securie

AI broke the AppSec-to-developer ratio.

One AppSec engineer was enough for 100 LOC/day humans. Not for 5,000 LOC/day with Cursor. Whether you have AppSec or not, your coverage gap is widening every commit. Securie runs the whole loop — review, prove, patch, gate, attest — on every change, at AI-code velocity, with hire-time = zero.

secure what AI builds

Securie Agent

Securie Agent reviews pull requests, proves exploitable risk in a sandbox, opens verified fix PRs, gates unsafe deploys, and signs the evidence chain.

PR security reviewsandbox exploit proofverified fix PRsdeploy gates

Explore Securie Agent

Why now

Every software company is shipping bugs faster than its security can review.

Across public security research on AI-built and human-built apps alike, industry estimates show the same pattern: exposed credentials, missing access control, weak headers, vulnerable dependencies. The volume compounds when AI writes the code. Securie catches each class at PR-time, before it ships.

Exposed credentials

~14%

Estimated share of publicly-reachable AI-built apps shipping at least one exposed credential in the client bundle.

Vibe Leak Index

RLS disabled

~11%

Estimated share of AI-built apps with at least one Supabase table with Row-Level-Security disabled, readable via the anon key.

Vibe Leak Index

Vulnerable deps

~47%

Estimated share of AI-built apps shipping at least one client-side dependency with a High or Critical CVE.

Vibe Leak Index

Time to abuse

< 2 hrs

Estimated median time from a leaked API key landing in a public commit to the first observed abuse attempt against it.

Third-party security research

From review to release evidence

Secure the code where it actually changes.

Securie begins where teams already feel pain: pull requests, fixes, deploy gates, and evidence. One Securie review picks the right specialists for each change, proves what's exploitable, opens a verified fix PR, and signs the result.

See the platform

Start with the security review

Every AI-built change gets reviewed, proved, fixed, gated, and attested inside the developer workflow.

Turn evidence into policy

Once Securie is trusted in the release path, the same evidence model expands to approvals, runtime signals, deploy gates, and procurement proof.

Securie Agent workflow

One Securie review covers the whole change.

AI-assisted development increases change volume, but the risk lands in the same production repo. Securie keeps the workflow unified: review, prove, patch, verify, gate, and attest across code, secrets, dependencies, infrastructure, runtime evidence, and scoped pentest work.

Core Security

Secure every PR

One Securie review covers code, secrets, dependency risk, IaC, and framework-aware specialists without asking the user to choose separate tools.

Proof / Runtime

Prove real exposure

Sandbox replay, live validation, deploy gates, and signed evidence turn possible findings into confirmed risk.

Autonomous Engineer

Patch and retest

Verified fix PRs, approvals, monitoring, and evidence bundles make Securie feel like work completed, not alerts filed.

Pentest Package

Scope a pentest

Sold separately when buyers need a report, rules of engagement, authenticated testing, business-logic attacks, and retesting.

Security engineer, not alert feed

Securie runs the loop after every risky production change.

A scanner leaves a queue. Securie does the security work: review the change, prove the issue, patch it, ask approval where risk is high, gate deploys, and leave evidence behind.

Review the change

Reads the PR, stack conventions, auth boundary, data model, and deploy target before deciding what work to run.

Prove and patch

Replays the exploit in a sandbox, opens the fix beside the failing route, and verifies the regression before asking you to merge.

Gate and attest

Blocks unsafe deploys only for confirmed exposure, asks approval for risky actions, and signs the chain for auditors.

Autonomous work loop

Security work you can inspect, approve, and replay.

Securie treats every meaningful action like a run: trigger, scope, evidence, policy decision, approval state, patch, deploy verdict, and signed artifact. No reproduced exploit, no alert.

securie evidence trace· illustrative example

Sandbox replay

87.4s

00:00

spawn tenant_a + tenant_b fixtures

00:31

capture attacker cookie

01:42

GET /api/orders/ord_A184

02:08

response 200 exposes tenant A

response 200cross-tenant read

billing_email, address, line_items returned for tenant A

proven

chain

signed

Suggested fix

ready to merge

- db.orders.findById(params.id)

+ db.orders.findOne({ id: params.id, userId: session.user.id })

Attestation

predicate: https://securie.ai/proof/v1
artifact: sha256:7a9d...e418
signer: kms://prod/attestation
bundle: DSSE / in-toto v1

exploit logpatch diffregressionsigned bundle