AI-Native SDLC Defense

Security at the Speed of Generation

Floor the accelerator. We've built the guardrails to handle the agentic era. Unify developer endpoint protection, Supply Chain Security, and AppSec into a single execution engine.

Secure the code, the agent, and the endpoint — before commit.
001 / Why Now

The Golden Age of Velocity is Here

Software development has shed its speed limits. AI coding agents are generating features, refactoring codebases, and shipping updates 24/7. It is a massive competitive advantage.

But the math of manual security is broken. Exponential code volume has collided with linear human capacity. You cannot govern a machine-speed factory with human-speed security. Forcing agent-generated code through legacy manual triage queues creates un-catch-uppable backlogs and expensive context switches.

Make 10x engineering velocity safe and sustainable.
// legacy security math
code_volume = agents × 24h × 365d
human_review = 3 eng × 8h × 260d
backlog_growth = code_volume human_review
backlog_growth = ∞ (un-catch-uppable)
Boost runs on the same clock as your agents. We give you the automated infrastructure to enforce standards, fix vulnerabilities, and validate supply chains in real time.
002 / The Platform

The AI-Native SDLC Defense Platform

You can’t secure the code if you don’t secure the supply chain. AI agents write first-party logic and import third-party packages in the exact same millisecond. If you use one tool for AppSec and a different tool for Supply Chain, your security is fractured. Boost is the only platform that secures both. One set of controls, pre-commit to production.

Developer Endpoint Security

Secure the Origin

Govern AI agents, sanitize prompts, and block malicious packages directly on the laptop before the code is even drafted.
Software Supply Chain Security

Secure the Materials

Continuously map your AI-BOM, block typosquatting in real-time, and lock down your CI/CD pipelines against tampering.
AI-Native ASPM

Secure the Code

Use reachability to auto-triage the noise, and deploy AI-generated, context-aware fixes directly into the PR.
003 / Architecture

Govern the Agentic SDLC

When your release cycle shrinks from 4 weeks to 4 hours, human review can’t be your only checkpoint. Boost embeds directly into the autonomous loop, applying guardrails at the exact moments of creation, testing, and deployment.

Agent Implements

Secure Agentic Generation
Enforce approved models, block hallucinated dependencies, mask outbound credentials.

Learn & Iterate

Continuous AI Visibility
Track which agents, extensions, and models touch your codebase via the AI-BOM.

Agent Tests & Docs

Machine-Speed Remediation
Reachability analysis separates material risk from noise. Auto-fix injected into the PR.

Agent Implements

Pipeline & Supply Chain Integrity
Verify artifact provenance. Crush "living off the pipeline" attacks before production.

Agent Implements

Secure Agentic Generation
Enforce approved models, block hallucinated dependencies, mask outbound credentials.

Learn & Iterate

Continuous AI Visibility
Track which agents, extensions, and models touch your codebase via the AI-BOM.

Agent Tests & Docs

Machine-Speed Remediation
Reachability analysis separates material risk from noise. Auto-fix injected into the PR.

Agent Implements

Pipeline & Supply Chain Integrity
Verify artifact provenance. Crush "living off the pipeline" attacks before production.
004 / Results

Survive the Math. Without Asking for Headcount.

Enterprise security leaders use Boost to prove that 10x engineering velocity is safe, sustainable, and strictly governed.

530

Verified Fixes in 14 Days
Demandbase cleared a multi-year backlog and reduced critical MTTR to under 48 hours.
— Demandbase Security Team

1:166

Security-to-Developer Ratio
Travelport reclaimed 20+ hours a week from manual triage, governing 6,000 repositories with a 3-person team.
— Travelport Engineering

100%

Visibility in 2 Hours
A Global Toy Manufacturer achieved a full 700-repository rollout in hours, without pipeline changes or developer friction.
— Fortune 500 Customer
005 / Open Source

Understand Your Attack Surface with Bagel

Did you know your developer's laptop is the softest target in your supply chain? Stop guessing what's exposed. We built Bagel, a cross-platform, privacy-first, open-source CLI that inventories security-relevant metadata, credentials, and misconfigurations on developer workstations in seconds.

$ bagel scan --workstation
⟐ Scanning developer environment...
IDE extensions inventoried — 23 found
MCP servers cataloged — 4 active
⚠ Exposed credentials — 2 in .env
⚠ Stale SSH keys — 1 expired
AI agent permissions — audited
Report saved → ./bagel-report.json
006 / Developer Community

Built in the Open.
Battle-Tested by the Community.

We don't just sell security we ship it as open source. Our tools are used by security researchers, platform engineers, and red teams worldwide to harden CI/CD pipelines and developer environments.

600+

GitHub Stars

50+

Forks

30+

Contributors

20

Public Repos
Poutine
boostsecurityio

Security scanner that detects misconfigurations and vulnerabilities in build pipelines. Analyze an entire GitHub org in one command. Custom Rego rules, SARIF output, and MCP integration for AI coding assistants.

Go
GitHub Actions
GitLab CI
Azure DevOps
OpenSSF
SLSA 3

379

379

379

v1.0.8

Lotp
boostsecurityio

Living Off the Pipeline the GTFOBins of CI/CD. A community-curated catalog of how common dev CLIs have hidden RCE-by-design features that attackers exploit after workflow injection.

Research
Supply Chain
CI/CD Footguns
Community

143

15

10

Apache-2.0

CI/CD Scanners
boostsecurityio

Drop-in scanner plugins for every major CI platform. GitHub Actions, GitLab CI, Azure DevOps, CircleCI, and Buildkite plus a community-driven dev-registry of scanner modules.

Go
GitHub Actions
GitLab CI
Azure DevOps
OpenSSF
SLSA 3

10

5

6 repos

Get Started

Stop Being the Bottleneck.

Move beyond "vibe coding." Get the infrastructure to secure the code, the agent, and the endpoint. Connect Boost in minutes, let it run alongside your existing tools, and see the difference cleaner signals and machine-speed remediation can make.