Securie vs Jit
Jit is a DevSecOps orchestration platform — it integrates and runs many open-source security tools (Semgrep, Trivy, Gitleaks, KICS, more) under one dashboard. Securie is a specialist tool that produces sandbox-verified findings end-to-end. This page is the honest comparison for teams choosing between aggregator and specialist.
Teams comparing Securie and Jit are answering a category-level question: do we want an orchestration platform that runs many OSS scanners, or do we want a specialist tool that produces sandbox-verified findings end-to-end? Both answers are defensible, and the right one depends on team shape and risk profile.
For mid-size teams with mature AppSec functions, Jit's orchestration value is real — managing Semgrep + Trivy + Gitleaks + KICS individually is a non-trivial engineering task, and Jit's managed-service approach removes that operational burden. The tradeoff is that the underlying tools are pattern-based OSS scanners with their inherent noise profiles; Jit unifies their output but does not change their precision.
For solo founders and small teams where every false positive is an unaffordable trust cost, the orchestration layer is less valuable than the per-finding precision Securie's sandbox provides. The procurement question reflects this: Jit's buyers are AppSec engineers who want one dashboard for ten OSS tools; Securie's buyers are vibe-coders and solo founders who want one tool whose findings they can trust without security expertise.
Jit and Securie are different categories. Jit is an aggregator that runs multiple OSS tools and unifies their output; Securie is a single tool whose pipeline is purpose-built for prove-don't-flag findings. Pick Jit if you want a managed orchestration layer over open-source scanners (Semgrep, Trivy, Gitleaks, etc.). Pick Securie if you want one tool whose findings come with a reproduced exploit + a signed attestation, end-to-end.
Feature comparison
| Securie | Jit | |
|---|---|---|
| Architectural model | Single platform end-to-end (specialists → sandbox → patch loop → attestation) | Aggregator over many OSS tools (Semgrep, Trivy, Gitleaks, KICS, Bearer, ZAP, more) |
| Finding verification | Sandbox-replayed exploit per finding (Firecracker microVM) | Inherits whatever the underlying OSS tool produces; no sandbox replay |
| False positive rate | Zero by construction — no exploit, no ticket | Inherits FP rates of upstream tools (Semgrep ~30-40%, Trivy CVE noise, etc.) |
| Auto-fix PR | Sandbox-regression-tested fix | Limited — Jit's value is orchestration, not fix-generation |
| Tool integration breadth | Standalone — Securie is the tool | Strong — Jit's primary value is unifying ~10+ OSS scanners under one config |
| AI-feature security | llm-safety + multimodal-guard + rag-guard + mcp-guard + prompt-inj CI gate | Inherits whatever upstream tools cover; not Jit's focus |
| Supabase RLS specialist | Day-1 production-validated specialist | Whatever Semgrep / Bearer covers (generic SQL pattern only) |
| Audit attestation | Signed in-toto + DSSE + Sigstore-rekor (Ed25519, KMS-backed) | Aggregated findings reports; not cryptographically attested |
| Pricing | Free / $12 / $49 / $299 / Enterprise | Free tier + Pro tier // TODO: verify jit.io/pricing |
| Deploy models | SaaS / Customer-VPC / TEE | SaaS only |
Where the difference shows up in practice
A Supabase RLS policy missing WITH CHECK on INSERT
Jit: Jit's upstream tools include Semgrep + Bearer for SAST. Neither has a Supabase-specific RLS specialist; the bug is invisible at the static level. The aggregated finding queue does not show it. Developer ships; incident months later.
Securie: Securie's Supabase RLS specialist parses the policy with full Supabase semantics, identifies the missing WITH CHECK, sandbox-replays the cross-user INSERT attack, and ships the finding with the reproduced exploit + the corrected policy.
An IaC misconfiguration in Terraform — public S3 bucket
Jit: Jit's KICS integration scans Terraform and flags the public-S3-bucket misconfiguration. The finding ships in the aggregated dashboard.
Securie: Securie's launch IaC coverage is limited — IaC scanning is on the roadmap but not Day-1. For this scenario, Jit's KICS coverage is the better tool today.
A new container CVE on an Alpine base image
Jit: Jit's Trivy integration scans the container image and flags the CVE. Aggregated finding ships; deploy may or may not be blocked depending on Jit's gating config.
Securie: Securie's launch scope does not include container CVE scanning — runtime-eBPF for customer-app containers is on the roadmap (alongside the MVP) but it is a different surface. For container CVE coverage today, Jit's Trivy is the right tool.
A leaked OpenAI key live-validated against the API
Jit: Jit's Gitleaks integration detects the key pattern in source. The finding ships with the pattern match. Gitleaks does not validate liveness against the OpenAI API.
Securie: Securie's secret_scanner specialist detects the key + live-validates against OpenAI. If active, the finding carries 'Live key confirmed' + an auto-rotate PR (mint new key, update env, revoke old). Validated exposure, not pattern-match possibility.
The deeper tradeoff
Jit is an orchestrator; Securie is a specialist. Comparing them feature-by-feature is partly category-confused. The honest comparison is at the architectural-commitment level: what is each tool committing to, and does that match what your team needs?
Jit's commitment is operational simplification. Running Semgrep + Trivy + Gitleaks + KICS + Bearer + ZAP individually is a real engineering burden — config management, version updates, output normalization, false-positive tuning per tool, dashboard integration. Jit takes that burden, centralizes it, and produces unified output. For teams with the engineering bandwidth to want orchestration but not the bandwidth to manage each tool, Jit's value is straightforward.
The inherent limitation is that the underlying tools are pattern-based and have their own precision profiles. Jit can tune them, weight them, deduplicate findings, and apply an LLM judge to mute noise — but the upstream signal is what it is. The aggregation does not change the precision of the individual scanners.
Securie's commitment is structural — every finding is reproduced as a working exploit before it ships. The pipeline is purpose-built for prove-don't-flag, with the sandbox as the central commitment. Auto-fix is regression-tested against the reproduced exploit. The attestation chain produces auditor-verifiable evidence per scan. The tradeoff is scope — Securie covers the AI-app surface (TypeScript + Next.js + Supabase + Vercel + AI features) deeply, and does not cover IaC scanning, container scanning, DAST, or polyglot language coverage at launch.
The procurement choice is between a managed orchestration layer (Jit) and a single specialist tool (Securie). For teams whose risk surface spans the categories Jit's stable covers, the orchestration is real value. For teams whose risk concentrates in the AI-app surface, the specialist depth wins. For teams with both surfaces, running Jit for IaC/container/DAST and Securie for AI-app is the reasonable answer — they cover disjoint categories rather than competing on the same surface.
Pricing
Free ($0) · Indie ($12) · Solo Founder ($49) · Startup ($299).
Free tier; Pro per-developer; Enterprise. // TODO: verify jit.io/pricing.
Migration playbook
Step 1: Inventory which underlying Jit tools are doing real work
What: Over the last 90 days, classify Jit's findings by upstream tool: Semgrep findings (real-bug count vs total), Trivy findings, Gitleaks findings, KICS findings, ZAP findings. Identify which upstream tools produce the real bugs your team fixes.
Why: Jit's value is the union of its underlying tools. The real-bug-per-tool breakdown shows which tools are load-bearing and which are noise-generators on your stack.
Gotchas: Aggregation can hide per-tool weakness. A tool that produces 200 noise findings and 1 real bug per week shows up in Jit's dashboard the same as a tool with 5 findings, all real. Disaggregate before deciding.
Step 2: Map Securie's coverage against your real-bug profile
What: For each real bug class your team has fixed in 90 days, mark whether Securie's launch surface covers it (Day-1 specialists: Supabase RLS, secrets, broken auth; ~20 code-complete specialists: XSS, CSRF, SSRF, etc.; AI-feature specialists). The unmapped categories are Jit-only territory (IaC, containers, DAST, non-launch languages).
Why: If Securie covers most of your real-bug profile, the consolidation question is open. If Jit's IaC/container/DAST surfaces are doing most of the real work, Jit stays.
Gotchas: Beware mapping by category name. 'SAST' in both tools may cover non-overlapping bug classes — Jit's Semgrep covers canonical patterns; Securie's specialists cover framework-specific patterns. Map at the bug-class level.
Step 3: Run Securie alongside Jit for two weeks if AI-app surface is material
What: Install Securie's GitHub App alongside Jit. Let both run on every PR. Tally findings per tool, real-bug-precision per tool, auto-fix-PR-merge-rate per tool.
Why: Two weeks of parallel operation gives ground-truth on whether Securie's specialist depth produces real bugs Jit's stable misses. The data is the comparison.
Gotchas: Findings overlap on canonical bugs (XSS, SQL injection patterns) — both tools may produce findings on the same line. Configure precedence to avoid duplicate PRs.
Step 4: Decide based on category coverage + risk profile
What: If Securie covers your dominant surface (AI-app + auth + secrets) and Jit's IaC/container/DAST coverage is incremental: consolidate on Securie + run open-source Trivy/KICS standalone for the gaps. If Jit's IaC/container/DAST is load-bearing: keep Jit, add Securie for AI-app surface (running both is the answer).
Why: The procurement decision should match category coverage to risk surface. Forcing a single-tool answer when your risk surface spans two specialist domains creates a coverage gap.
Gotchas: Watch for the sunk-cost fallacy on Jit setup — past tuning effort is irrelevant to the forward decision. Make the call on forward value.
Step 5: If both: configure boundaries so the two tools do not duplicate work
What: Set Jit to handle IaC + container + DAST + non-launch-language SAST. Set Securie to handle AI-app SAST + auth + secrets + AI-feature security + attestation. Document the boundary in your security runbook.
Why: Tool overlap on the same finding produces noise — two PRs touching the same code, two dashboard entries, two triage paths. Explicit category boundaries prevent that.
Gotchas: Boundary drift over time — when a new tool capability ships, re-evaluate which tool owns it. Regular boundary review (quarterly) keeps the configuration coherent.
When to pick Jit
You want one dashboard that runs Semgrep + Trivy + Gitleaks + KICS + Bearer + ZAP under one config, you are comfortable with the noise profile of those upstream tools, and you have engineering bandwidth to triage the aggregated finding queue.
When to pick Securie
You want one tool that produces sandbox-verified findings + auto-fix + signed attestation end-to-end, you are tired of triaging OSS-scanner noise, and you ship AI-built apps where AI-app-specific specialists matter.
Bottom line
Jit wins on tool-integration breadth — it manages a stable of scanners under one config and produces unified findings. Securie wins on per-finding commitment — every finding is sandbox-verified, every fix is regression-tested, every scan emits a signed attestation. The honest answer depends on whether you want orchestration of many tools or depth on one.
FAQ
Can Jit and Securie run together?
Yes — they cover different layers. Jit orchestrates the OSS-scanner stable; Securie runs as a specialist on top. The combination is unusual because the value overlap is high (both produce findings on every PR), but for teams with established Jit deployments and an AI-app surface Jit's upstream tools do not cover well, adding Securie for the AI-app slice is reasonable.
Why not just run the same OSS tools Jit runs, directly?
You can — Jit's value is the orchestration layer (one config, unified UI, per-tool tuning). For teams that already manage Semgrep + Trivy + Gitleaks individually, Jit is a managed-service convenience. Securie is a different choice — not 'orchestrate the same OSS tools' but 'use one specialist tool whose findings come with a reproduced exploit.'
Does Securie cover everything Jit's underlying tools cover?
No — Jit's upstream tool stable covers IaC scanning (KICS), container scanning (Trivy), DAST (ZAP), and language-scope Securie does not have at launch (Java, C#, more). For teams whose risk profile spans those categories, Jit's breadth is hard to match. For teams whose risk profile is AI-app surface, Securie's depth is the better fit.
What about audit evidence?
Jit produces aggregated findings reports usable as compliance evidence. Securie produces signed in-toto + DSSE + Sigstore-rekor attestations per scan. For SOC 2 / FedRAMP-pathway audits where cryptographically signed evidence is the requirement, Securie's chain is structurally different. For SOC 2 Type 1 audits where findings reports are sufficient, Jit's output works.