Safeguard vs Aikido
Enterprise-Grade vs Startup Security: Why Scale and Depth Matter
Aikido provides developer-focused security scanning for startups. Safeguard (.sh = Self-Healing) delivers enterprise-grade supply chain security with Griffin AI's autonomous remediation across deep transitive dependency analysis. See why federal compliance and enterprise scale require more.
Feature-by-Feature Comparison
Enterprise-grade supply chain security vs startup developer tool
Target Market
Enterprise and federal—designed for defense contractors and large regulated enterprises
Startups and SMBs—developer-focused tool for smaller teams
Dependency Depth
Deep transitive dependency analysis—enterprise-grade deep supply chain analysis
Standard dependency scanning—limited deep transitive analysis
Remediation
Autonomous Auto-Fix with Griffin AI—self-healing at enterprise scale
Developer-triggered fixes—requires manual review and approval
Federal Compliance
FedRAMP HIGH, IL7, SOC 2 Type II (audit in progress)—compliance-ready architecture designed for federal requirements
SOC 2 Type II and ISO 27001 certified—commercial compliance, not architected for IL7, FedRAMP HIGH, or defense contractor needs
SBOM Lifecycle
Complete lifecycle: generation, enrichment, validation, distribution, monitoring, EO 14028 attestation
Basic SBOM generation—no lifecycle management or federal attestation
Third-Party Risk
Dedicated TPRM with vendor SBOM validation—enterprise vendor risk management
No dedicated third-party/supplier risk module with vendor-SBOM intake—focuses on your own code and dependencies
Cloud Coverage
15 cloud providers, on-premises, air-gapped—true enterprise flexibility
Limited to major clouds—no air-gapped or multi-cloud enterprise deployment
Enterprise Scale
Multi-tenant architecture with complete tenant isolation—designed for 10,000+ developers
Designed for smaller teams—limited enterprise multi-tenant isolation
AI Capabilities
Griffin AI purpose-built for autonomous supply chain security with OODA loop
AI Autotriage and AI Autofix assist developers—not a purpose-built autonomous security model lineup
Simplicity for Startups
Enterprise platform—more comprehensive but steeper learning curve
Simple developer experience—easy setup for startup teams
In-House Security-Tuned Model Lineup
Seven in-house models purpose-built for security (Griffin 5 variants + Eagle + Lion)
Uses general-purpose foundation models from third-party providers—no in-house security-tuned lineup
Aegis Attention Architecture
Long-context Aegis attention with MoE in the largest tier for whole-repo reasoning
Standard third-party model inference—no proprietary long-context architecture
Security-Only Training Corpus
Models trained on a security-only corpus with no customer code and no general web crawl
Relies on general-purpose model providers trained on web-scale data
Security-Augmented Tokeniser
Custom tokeniser aware of CVE IDs, purls, package names, CWE classes
Standard tokenisers from upstream model providers
Structured Reasoning Trace
Every finding ships with a first-class structured reasoning trace as machine-readable output
Findings are prose summaries; no structured trace contract per finding
Adversarial Disproof Pass
A second model actively tries to disprove every finding before it is shown to the user
AI Autotriage helps suppress false positives but no published adversarial disproof step
Auto-Router Across Model Variants
Triage score routes each request to the smallest model variant that can answer it
Single-model inference path—no equivalent multi-variant router
Inline On-Device Model
Lion runs locally with sub-100ms p95 for inline IDE and pre-commit checks
Cloud-hosted analysis—no on-device inline model for the developer loop
Cross-Package Taint Chain Reasoning
Code-level taint chain reasoning up to 12+ hops across packages
Standard SAST reachability—no published deep cross-package taint chain
Multi-Finding Correlation
Correlates multiple findings into a single reasoning pass to surface root causes
Findings are deduplicated and prioritised but not correlated through a single reasoning pass
Local AI Coding Agent
Safeguard Code agent runs in terminal and IDE for security-aware coding workflows
No first-party local coding agent
MCP Server with Egress Guardrails
MCP Server with capability scoping and sensitive-data egress guardrails
Ships an MCP server, but without published capability scoping or sensitive-data egress guardrails
AI-BOM (Models, Prompts, Tools)
First-class AI-BOM cataloguing models, prompts, and tools used across the SDLC
No AI-BOM artefact for the SDLC
Coordinated Disclosure Pipeline
End-to-end pipeline: upstream patch + maintainer test-suite + disclosure draft
Intel team publishes malicious package advisories—no productised disclosure pipeline for customers
Public Threat Intelligence Feed
Public threat intel feed available as RSS, JSON, and STIX
Publishes the Intel feed for malicious packages, mainly via the dashboard and blog
Published Security Research
Safeguard-published research with coordinated disclosure on supply chain CVEs
Publishes write-ups via the Intel programme
Bug Bounty Programme
Public bug bounty for the platform itself
Operates a vulnerability disclosure programme
Sovereign + Air-Gapped Deployment
Sovereign and air-gapped deployment with the full Griffin Zero (671B-MoE) model
SaaS with an enterprise self-hosted option—no fully air-gapped deployment with an in-house model
Published Constitutions
Constitutions of Security, AI, and Human Values are published publicly
No equivalent publicly published constitution documents
Public Product Roadmap
Product roadmap published publicly
Public changelog of shipped features; forward roadmap is not fully public
Public Training & Certification
Public training and certification programme on the platform
Documentation and tutorials available—no formal certification programme
Customer-Verifiable Model Provenance
Customer-verifiable model provenance bundle ships with every release
No model provenance bundle (uses third-party models)
Documented Deployment Shapes
Five documented deployment shapes spanning SaaS, dedicated, hybrid, on-prem, and air-gapped
Primarily SaaS with a self-hosted option on the enterprise tier
Customer-Controlled Audit Log Export
Audit log export under customer control in JSON and CycloneDX formats
Audit log access available—export formats are more limited
Sandbox Tenant for Self-Serve Evaluation
Sandbox tenant available for self-serve evaluation without sales contact
Free self-serve sign-up is a core part of the Aikido motion
Why Choose Safeguard Over Aikido?
Enterprise vs Startup Scale
Aikido is designed for startups with simple needs. Safeguard is architected for enterprises: 10,000+ developers, complete tenant isolation, air-gapped deployment, and multi-cloud flexibility. Different scales require different architectures.
Federal Compliance Requirements
Aikido has basic SOC 2 compliance. Safeguard's compliance-ready architecture is designed for FedRAMP HIGH, IL7, and SOC 2 Type II (audit in progress)—meeting defense contractor, intelligence community, and federal civilian agency requirements.
Deep Dependency Analysis
Aikido provides standard dependency scanning. Griffin AI performs deep transitive dependency analysis—critical for enterprises with complex supply chains and deeply nested transitive dependencies.
Complete SBOM Lifecycle
Aikido generates basic SBOMs. Safeguard Portal manages complete lifecycle: auto-generation, enrichment, validation, secure distribution, continuous monitoring, and EO 14028 attestation for federal procurement.
Third-Party Risk Management
Aikido doesn't address vendor risk. Safeguard TPRM validates supplier SBOMs with continuous monitoring—critical for enterprises where 95% of breaches involve third-party software.
Autonomous vs Manual Workflows
Aikido requires developer-triggered fixes. Griffin AI autonomously heals vulnerabilities without manual approval—critical for enterprises with thousands of repositories and limited security team capacity.