Every program
SIEM and DetectionSecurity AutomationManaged ServicesZero TrustIdentity and AccessAI SecurityData ProtectionApplication SecurityCloud SecurityRisk and ComplianceStrategy and AdvisorySee all security programsthe team your security team calls.
code and cloud
We rank what matters and fix it with your team before it ships.
Application security domains
twelve places we work
four ways the gap opens
Now
After
Every application leans on open source libraries and hundreds of transitive dependencies. Dependency confusion, typosquatting and abandoned projects with known CVEs all reach production codebases. One compromised package can cascade through everything you ship.
after:We verify the supply chain automatically, so you can see what is in each build.
Copilot code skips traditional review gates, suggests packages nobody vetted and can repeat known vulnerable patterns. Pattern matching scanners were not built to judge the business logic in AI generated output.
after:We scan and validate AI generated code with checks that read the business logic as well as the patterns.
When manual review cycles cannot keep up, you get a backlog of unreviewed changes in production or a security team that slows delivery to a crawl. Either way, developers start looking for ways around the controls.
after:We put automated gates in the pipeline that run at delivery speed and give developers fix guidance.
API keys, database passwords and cloud credentials get committed every day, and they stay in Git history after removal. Terraform, CloudFormation and Kubernetes manifests carry the same risk: open storage buckets, broad IAM roles and unencrypted databases, found after deployment.
after:We catch secrets before they land and scan infrastructure as code on every pull request.
pick one to open it
From dependency analysis to AI assisted testing, the framework covers code, pipelines, infrastructure and AI assisted development across the software delivery lifecycle.
pillar 1 of 8
Continuous SCA scanning across direct and transitive dependencies. We find vulnerable packages, outdated libraries and license compliance issues. SBOM generation supports vendor supply chain audits and build provenance attestation.
pillar 2 of 8
SAST scanning inside your CI/CD pipeline to catch vulnerabilities before code merges. We configure it for your tech stack, tune it to your codebase and rank findings by exploitability. AI powered SAST adds semantic analysis that understands business logic and finds context dependent vulnerabilities that pattern matching scanners can miss.
pillar 3 of 8
Runtime vulnerability scanning against deployed applications and APIs. DAST finds exploitable flaws that static analysis can miss: authentication bypass, authorization gaps and session management weaknesses. We map your API inventory, enforce authentication and authorization, apply rate limiting and detect exploitation attempts with behavioral analytics.
pillar 4 of 8
Real time scanning of code repositories, CI/CD logs and infrastructure as code for exposed credentials. We set up automated secret rotation, credential vault integration and pre-commit hooks that keep secrets out of version control in the first place.
pillar 5 of 8
We scan Terraform, CloudFormation, Kubernetes manifests and Helm charts for security misconfigurations before deployment. Organization wide IaC policies are enforced through automated pull request checks and CIS benchmark validation across AWS, Azure and GCP.
pillar 6 of 8
We harden CI/CD pipelines against injection attacks, credential exposure and unauthorized changes, with branch protection, signed commits and pipeline integrity verification. Security policies are defined in code using Open Policy Agent, Sentinel or custom frameworks and enforced at build time, deploy time and runtime.
pillar 7 of 8
We scan container images for vulnerabilities, enforce base image policies and validate runtime configurations. Admission controllers stop non-compliant images from reaching production clusters. We verify dependency provenance, enforce license compliance and generate software bills of materials with artifact signing across your pipelines.
pillar 8 of 8
We scan and validate AI generated code from copilots, code generators and LLM powered development tools, looking for AI introduced vulnerability patterns, hallucinated package references and insecure suggestions. Security gates sit inside AI assisted development workflows, with policy checks on AI generated pull requests and guardrails that keep AI tools within your security and compliance boundaries.
start where you are
Every team starts somewhere. The maturity model takes you from a first gap analysis to continuous, AI aware assurance across code, pipelines and infrastructure.
Posture is unknown: no automated scanning, no dependency inventory and no secrets policy. We audit the codebase and pipeline, map the attack surface and find the biggest gaps across your SDLC and CI/CD.
SAST, SCA, IaC scanners and secrets detection go into CI/CD. Scanning runs on every commit and pull request, images are scanned before registry push, and findings are triaged by severity. Developers get baseline security training and remediation playbooks.
Security gates block risky merges. Policy as code governs what ships to production, and IDE plugins surface findings as developers work. SBOM generation, API security enforcement, supply chain verification and remediation guidance run across teams and pipelines.
Security is part of architecture, design and AI assisted workflows. AI code review validates copilot output, AI powered prediction flags risk before code is written and self healing pipelines fix common findings. Continuous AI model assessment keeps LLM powered tools inside compliance boundaries.
three common first moves
start 1
A fintech company built and deployed banking APIs without security scanning in CI/CD. We integrate Snyk and SonarCloud into the GitLab pipeline, tune the rules for their Python and Go codebases and train developers on remediation.
What you get
start 2
A compromised npm package reaches a software company's build pipeline. We deploy dependency verification, artifact signing, SBOM generation and build provenance attestation, and check each dependency against known good checksums before a build proceeds.
What you get
start 3
A platform company has AI coding assistants across its developers and finds that traditional SAST misses context dependent flaws in AI generated code. We deploy AI powered SAST that reads business logic and AI DAST that builds attack scenarios for each application.
What you get
services and pairings
Make secure the default.
Tell us where your pipeline is thinnest. We will review it with you and show you where to start.
We map the work to OWASP Top 10, NIST SSDF, SLSA, PCI DSS, CIS Benchmarks.