Automate SDLC security
From Pipeline to Proof. Security You Can Measure, Enforce, and Show
Five integrated capabilities that automate SDLC security, manage risk continuously, and generate the evidence your auditors, regulators, and board actually need.
Attestation Store:SDLC Governance & Compliance
Always Audit Ready. Not Just Audit Responsive.
Most compliance programs generate evidence in a panic before an audit. The Attestation Store collects, signs, and evaluates policy compliance continuously — across every pipeline, every product version, every day. When your auditor asks for proof, you download a report. You don't build one.
Evidence Signing
Cryptographically signed attestations that can't be tampered with after the fact
Policy as Code
Define, version, and deploy security policies via Git — 100+ out-of-the-box rules or build your own
Pipeline Gating
Block non-compliant builds at the CI/CD or Kubernetes admission level
CISOs managing audit cycles · AppSec teams running SLSA, SSDF, or SOC2 programs · DevSecOps engineers embedding compliance into pipelines.
Compliance standards supported: SLSA L1–L3 SSDF SOC2 EU CRA Custom Policies
Vulnerability Manager: Risk Management
Manage Vulnerabilities Like Code , Not Like a Spreadsheet.
Most teams re-triage the same CVE six times across six different tools. Vulnerability Manager eliminates that overhead: scan once, enrich automatically with AI and external threat intel, then manage state in Git. When a vulnerability is fixed, reports update themselves. When it's accepted as risk, the decision is documented permanently.
AI Enrichment
Proprietary AI analysis augments raw CVE data with context, exploitability scoring, and fix guidance
VEX support
Machine-readable vulnerability exploitability exchange documents, generated automatically
Decide Once
Document a risk decision once; it propagates across all affected reports and versions
AppSec teams managing large CVE backlogs · Product Security leads reporting to the board · DevSecOps teams integrating SCA into pipelines
Threat Detection
Your Scanner Checks a List. Our Detectors Watch for Behavior
Supply chain attacks don't announce themselves. Hulud-style install-time attacks, dependency confusion, and malicious pipeline injections evade signature-based tools because they're new, or because they're subtle. Our detectors are built around attack patterns — not blacklists — so they catch what others miss, including threats with no prior signature.
Behavioral Detection
Pattern-based analysis of pipeline activity, not just known-bad package lists
Tailored to Your Environment
Generic and custom detectors configured to your specific pipeline architecture
Zero Pipeline Disruption
Docker image integration — no agent installs, no infrastructure changes
Who it's for: DevSecOps leads worried about software supply chain integrity · Security teams in defense, fintech, and critical infrastructure · AppSec engineers who've already deployed SAST/SCA and want the next layer
Secure Use of AI in the SDLC
Your Developers Are Already Using AI to Write Code. Do You Know How?
Vibe coding is here. GitHub Copilot, Cursor, and AI agents are writing production code in your pipelines today — with or without a governance framework. This product gives you visibility into how AI is being used, enforces your organizational policy through the Attestation Store, and lets you enable AI-assisted development safely rather than prohibit it and lose the productivity gain.
Visibility
Understand which AI tools are being used, by whom, and what they're generating
Policy Enforcement
Define acceptable AI use in the SDLC and enforce it automatically via the Attestation Store
Safe Enablement
Equip developers with secure AI skills and prompts — don't just block, empower
Who it's for: CISOs navigating EU AI Act obligations · Engineering leaders adopting AI coding tools at scale · AppSec teams establishing AI security baselines
Compliance tie-in: EU AI Act NIST AI RMF
AI-Augmented Remediation
Finding the Vulnerability Was Never the Problem. Fixing It Was.
The average AppSec team closes fewer than 30% of SAST findings per sprint — not because they don't care, but because triaging and remediating at scale is a human bandwidth problem. AI-Augmented Remediation automatically analyzes findings, proposes fixes, and opens pull requests in your SCM. Your developers review and merge. Your security posture improves without adding headcount.
AI Analysis
Context-aware vulnerability and SAST finding analysis beyond raw scanner output
Auto-PR Generation
AI-generated pull requests submitted directly to the developer's workflow
Backlog Reduction
Measurable reduction in open finding count without growing the security team
Who it's for: AppSec leads with backlogs their team can't close · DevSecOps engineers building shift-left programs · CTOs looking to quantify the ROI of their security tooling investment
Integration Architecture
One Stack.
Zero Rearchitecting.
We don't replace your stack. We make it enforceable
What you already have
How Resilience integrates
GitHub / GitLab / Bitbucket
Native SCM integration for storage, PRs, and policy deployment
Jenkins / GitHub Actions / CircleCI
Docker image drop-in — no pipeline restructuring
Existing SAST / SCA tools
Normalization layer ingests results from any scanner
Kubernetes
Admission controller for policy gating at deployment
Air-gapped / on-prem environments
Fully supported — all components run in your infrastructure