Jit alternative — purpose-built for AI-built apps
Jit orchestrates a dozen OSS security tools with a unified dashboard. Securie is purpose-built for AI-built app security with specialists per vibe-coding pitfall.
Jit.io is a DevSecOps orchestrator — a platform that aggregates a dozen open-source security tools behind a unified dashboard and pipeline integration. Install Jit, and you effectively install Semgrep (SAST), Gitleaks (secrets), Trivy (containers), Checkov (IaC), KICS (more IaC), npm-audit (SCA), and a handful more, all managed through one place. The value proposition is that your DevSecOps team does not need to integrate each tool individually; Jit does the plumbing.
For mature DevSecOps teams who understand the strengths and weaknesses of each underlying OSS tool and want a unified operational surface, Jit is a legitimate value-add. The plumbing savings are real, the policy-unification across tools is useful, and the dashboard gives a single pane of glass over a stack that would otherwise require N separate logins.
For teams without a mature DevSecOps practice — particularly for AI-built-app teams where the specialist bug classes are not what the underlying OSS tools detect — Jit orchestrates tools that were not built for the job. A dozen OSS scanners aggregated does not add up to specialist coverage for Supabase RLS or prompt injection; it adds up to dozen OSS-scanner false-positive rates with one dashboard to see them in.
This page compares Jit's orchestration approach and Securie's specialist approach. The right choice depends on whether you want breadth-via-aggregation or depth-via-specialists, and on whether your engineering team has the maturity to operate a composite OSS stack effectively.
Why people leave Jit.io
- Jit aggregates Semgrep, Gitleaks, Trivy — inherits their false-positive rates
- Orchestration adds its own complexity
- Per-developer pricing at scale
Where Jit.io actually breaks down
Inherits false-positive rates of aggregated tools
Example: Jit orchestrates Semgrep, Gitleaks, Trivy, Checkov, and others. Each underlying tool has well-known false-positive patterns. Jit's dashboard aggregates the findings; it does not filter them. A team using Jit triages Semgrep false positives, Gitleaks high-entropy-but-not-secret findings, Trivy vulnerable-but-not-reachable container bugs, and Checkov IaC patterns that do not apply to their cloud — all in one queue.
Impact: The per-tool triage tax compounds in the aggregated dashboard. Engineers see 200 weekly findings where each underlying tool produced 30-50; the aggregation multiplies rather than filters, and triage time scales accordingly.
Orchestration adds its own complexity
Example: Jit's value is in the orchestration — defining policies that span multiple tools, routing findings to the right owners, unifying severity scoring across tools with different severity models. That orchestration layer is configurable and powerful, and it requires DevSecOps expertise to set up correctly. Teams without that expertise either adopt default configurations (which give default results) or invest in consulting to tune the configuration.
Impact: The 'one dashboard for everything' marketing understates the configuration work. Teams discover that getting value out of Jit requires DevSecOps engineering hours that the original tool adoption did not budget for.
Per-developer pricing at scale
Example: Jit's pricing is typically per-developer, in the $10,000-30,000/year range for teams of 10-30 developers. At the high end, this approaches the cost of a full dedicated AppSec tool like Snyk Enterprise. The value differentiator from Snyk at equivalent cost becomes harder to articulate.
Impact: Teams that initially adopted Jit as the 'affordable alternative to enterprise SAST' discover at renewal that the pricing has converged with enterprise SAST. The cost-structure argument erodes; the remaining argument is 'we like the dashboard'.
No specialist coverage for AI-built-app bugs
Example: The tools Jit aggregates — Semgrep, Gitleaks, Trivy, Checkov — do not have specialists for Supabase RLS, prompt injection, agent tool-scope abuse, or AI-feature security. Jit's orchestration cannot add specialist detection that its underlying tools lack. For AI-built apps, the aggregated coverage is the generic web-application-security slice.
Impact: Teams building AI-native applications adopt Jit expecting the breadth to cover everything and find the AI-native bug classes are entirely uncovered. The dashboard is full of generic findings and quiet on the specific risks that matter most.
Why Securie instead
Purpose-built vs orchestrated
Jit's aggregation inherits the weaknesses of each underlying OSS tool. Securie has dedicated specialists tuned for AI-built app bugs.
Sandbox verification
None of the tools Jit aggregates verify findings in a sandbox. Securie does by default.
Feature matrix — Jit.io vs Securie
| Area | Jit.io | Securie |
|---|---|---|
| Architecture | Orchestrator over 10+ OSS tools | Custom specialist fleet with sandbox verification |
| Detection depth | Inherits from aggregated OSS tools | Framework-native specialists per AI-built-app bug class |
| Finding verification | None | Firecracker sandbox per finding |
| Supabase / AI-feature | Not covered by underlying tools | First-class specialists |
| Auto-fix | Limited; depends on underlying tool | Framework-aware patch per finding, sandbox-verified |
| Dashboard unification | Strength — one dashboard over many tools | One dashboard for one tool (no aggregation needed) |
| Setup complexity | Moderate — orchestration requires DevSecOps expertise | Low — GitHub App install + Vercel Integration click-through |
| Pricing | $10-30K/year depending on team size | Free during early access |
| Right for | Mature DevSecOps teams managing polyglot OSS stacks | AI-built-app teams needing specialist depth without orchestration overhead |
The deeper tradeoff
The orchestrator thesis — aggregate OSS tools, unify the operational surface — works best for organizations with enough scale and security maturity to justify the plumbing investment. A 100+ engineer organization with a dedicated DevSecOps team running mixed workloads (some Python backends, some Go microservices, some Kubernetes, some Terraform) can extract real value from Jit's orchestration. The team understands each underlying tool's characteristics, knows how to tune out the inherited false-positives, and benefits from the unified policy layer.
For smaller or more focused teams — particularly AI-built-app teams — the orchestrator model inverts. The underlying OSS tools were designed for traditional application stacks and their pattern libraries reflect that heritage. Aggregating them does not create specialist coverage; it creates aggregated generic coverage. And the configuration work required to make the orchestration useful is significant — the 'one dashboard' image is misleading if the team cannot operate the backend it represents.
Securie's specialist approach is the opposite bet: rather than orchestrate many OSS tools, invest in a smaller number of domain-specific specialists that are framework-native, sandbox-backed, and tuned for the AI-built-app surface. The fleet is smaller than Jit's aggregated toolset but deeper on the specific risks that matter for modern web applications. The setup complexity is lower because there is nothing to orchestrate; the specialists run as a fleet with a single configuration surface.
The decision between Jit and Securie is often a decision about organizational shape. Mature DevSecOps team with polyglot workloads: Jit is plausibly a fit. AI-native application team without dedicated DevSecOps: Securie's specialists provide better coverage per unit of operational cost.
Pricing
Jit: custom, typically $10-30K/year. Securie: $0 during early access.
Migration path
- Install Securie alongside Jit for two weeks
- Compare the real (not aggregated) findings
- Most teams find Securie eliminates the need for Jit's orchestration layer
Extended migration playbook
Step 1: Assess your DevSecOps maturity honestly
What: Do you have a dedicated DevSecOps hire? Do you run multiple languages in production? Do you operate Kubernetes + Terraform + containers at scale? These are the indicators that Jit's orchestrator value proposition maps to your organization.
Why: Jit's value is proportional to the complexity you need to manage. Teams with simple stacks (one primary application, one cloud, one language) gain less from orchestration and more from specialist depth.
Gotchas: DevSecOps maturity is not the same as 'someone owns security'. Someone owning security part-time is not the same as a dedicated DevSecOps engineer who can operate an orchestrator. Be honest about the role, not just the title.
Step 2: Map Jit's aggregated coverage to your actual incident profile
What: Review your last 12 months of incidents or near-misses. Which would each underlying Jit tool have caught? Which would none of them have caught? For the last category, you need specialist coverage Jit cannot provide.
Why: Orchestration only delivers value where the underlying tools have coverage. Bugs outside the OSS-tool coverage (Supabase RLS, AI-feature bugs, framework-specific access control) require a different architectural approach.
Gotchas: Pentest findings count as incidents for this mapping. If a recent pentest found bugs the OSS tools miss, that is direct evidence Jit will not catch those bugs either.
Step 3: Evaluate Securie on the specialist coverage Jit lacks
What: Install Securie on the same repositories Jit scans. Focus the comparison on the AI-built-app bug categories — Supabase RLS, BOLA, prompt injection, AI-feature security. Track whether Securie catches bugs in these categories that Jit's aggregated tools miss.
Why: Securie's specialist coverage is the direct complement to Jit's generic aggregation. The comparison shows whether the specialist depth is material for your stack.
Gotchas: Do not compare total finding count across the tools — Jit will always win on volume. Compare real-bug count per category, which is the signal.
Step 4: Decide based on organization shape
What: Mature DevSecOps team with polyglot workloads: Jit plus Securie for the AI-native specialist slice is a reasonable stack. Startup or focused AI-app team: Securie alone plus Dependabot/Socket for supply chain is usually sufficient, and Jit's orchestration value is low.
Why: The tools target different organizational profiles. Clarity about which profile matches your team prevents overpaying for orchestration complexity you cannot use.
Gotchas: 'We might grow into it' is not a reason to buy orchestration now. Buy tools for the current year's operating reality; reassess annually.
Pick Securie if…
AI-built app stack, value signal over breadth.
Stay with Jit.io if…
You have a mature DevSecOps team that wants a unified dashboard over 10+ OSS tools.
Common questions during evaluation
Does Jit have specialists for AI-built app bugs?
Not directly. Jit aggregates OSS tools that were designed before AI-built-app bug classes became common. The underlying tools' pattern libraries do not cover Supabase RLS, prompt injection, or agent tool-scope abuse, so Jit's aggregated coverage does not either.
Can Securie integrate with Jit's dashboard?
Not at launch. Securie exports findings and attestations via webhook + SARIF; Jit could consume those formats in principle, but Securie's intended shape is a standalone tool rather than a feed into another aggregator. Teams who have committed to Jit can treat Securie as a complementary checker that runs in parallel on its own interface.
What about Jit's AppSec-Prompt feature for prompt-injection?
Jit has added AI-security features in its 2025-2026 release cycle, including some prompt-injection detection. These features are relatively new and typically implemented as community-grade detectors rather than dedicated specialists. Coverage depth is less than a purpose-built tool like Securie's AI-feature specialist fleet but better than the original OSS aggregation.
Is the 'one dashboard' value real for small teams?
For small teams, the 'one dashboard' value is smaller because small teams rarely run 10+ tools to begin with. A small team's security stack is typically 2-3 tools; unifying three tools' dashboards is less valuable than unifying ten. Securie's single-tool approach replaces the need for the dashboard entirely.
How does pricing compare long-term?
Jit's pricing at 15-25 developers typically lands in the $15-25K/year range. Securie's founding-rate tier (the rate offered to early-access customers for life when paid tiers ship) is designed to land materially below that for equivalent team sizes. Precise Securie pricing is Series A+; the intent is competitive with alternatives, not premium.
Can we run Jit and Securie together?
Yes, and for mature DevSecOps teams with polyglot workloads this can be a reasonable stack. Jit covers the polyglot OSS surface (Python Semgrep rules, Go scanners, Kubernetes scanners); Securie covers the AI-native TypeScript specialist surface. The tools are largely non-overlapping in that split.
Verdict
Jit is a legitimate DevSecOps orchestrator for mature teams running polyglot workloads with dedicated DevSecOps expertise. The orchestration value is real when the underlying complexity justifies it. For this profile, Jit removes plumbing work that would otherwise consume engineering time.
For AI-built-app teams — particularly startups and mid-stage companies without dedicated DevSecOps hires — Jit's orchestration of generic OSS tools does not map to the AI-native bug surface where the actual risk lives. Aggregating tools that miss Supabase RLS does not produce Supabase RLS coverage. For this profile, Securie's specialist fleet plus sandbox verification is the architectural fit.
The honest split is organizational, not technical. If your operating shape matches the DevSecOps-orchestrator thesis, Jit earns its place. If your operating shape is focused AI-app engineering, Securie's specialist depth returns more value per dollar and per engineering hour.