Practical security, engineering-aligned outcomes
Security that reduces real risk and improves delivery confidence
Digital Consulting, Inc. is a California security practice working on the applications, products, and environments companies build and run. A startup usually needs a fast baseline it can act on this quarter. A larger engineering organization is after assessments with evidence behind them, and practices that outlast the engagement.
Typical outcomes
- A ranked account of what can actually be exploited, and what it would cost the business if someone did.
- Remediation options with an owner and an implementation path, sized to your architecture and your release cadence.
- Artifacts your team can put in front of a customer, an auditor, or a board without rewriting them first.
Start from your situation
Most engagements start when a customer, auditor, or investor asks for security information by a specific deadline.
Senior technical security leadership
Engagements are led by Edward Bonver, CISSP, CSSLP, with 25 years in product security and director-level roles at Symantec, Raytheon, United Technologies Corporation, Veritas, Arctera, and Cornerstone OnDemand. He has published peer-reviewed papers on software security and speaks at global cybersecurity conferences. More about Edward Bonver.
Our core services
Application security
Web, API, and software development lifecycle security, weighted by what is exploitable and what it costs.
- API security testing and authorization review
- Threat modeling and secure architecture review
- Business logic and abuse-path analysis
- Penetration test scoping, vendor selection, and findings triage
- Secure development lifecycle and developer enablement
Product security
Ongoing support across releases, posture, and vulnerability intake.
- Attack surface and posture assessments
- Secure-by-default configuration reviews
- Release readiness and security gating
- Vulnerability management and PSIRT support
Cyber security
Cloud and operational security, from configuration through incident readiness.
- Cloud and infrastructure security reviews
- Logging and monitoring readiness
- Incident readiness and tabletop exercises
- Security program advisory, including virtual CISO support
AI governance
Policy, tool decisions, and working practice for teams putting AI into their products and into how they build.
- AI use policy and acceptable-use standards
- AI tool and vendor security review
- SOPs for AI-assisted development
- Guardrails for AI coding assistants in a repository
Early-stage companies usually arrive with one deadline and one question. The fixed-scope engagements for that situation are on the security for startups page.
Full service catalog
Application security
Application and API security assessments
- API security testing (REST/GraphQL, authn/authz, object-level authorization, rate limiting, abuse cases)
- Business logic testing and abuse-path analysis
- Authentication and session security review (SSO/OAuth/OIDC patterns, token handling)
- Data protection review (PII handling, encryption, secrets exposure, logging risks)
- Penetration test scoping, vendor selection, and triage of what comes back. The testing itself is delivered by the vendor.
Typical deliverables
- Executive summary with top risks and business impact
- Technical findings with reproduction steps and evidence
- Risk-ranked remediation guidance (quick wins and long-term fixes)
- A review of the fixes once they land, against the findings they close
Secure architecture and threat modeling
- Threat modeling for applications, APIs, and platforms
- Secure architecture review (trust boundaries, data flows, identity, tenancy isolation)
- Abuse case and misuse case development
- Security requirements and secure-by-default recommendations
Secure development lifecycle enablement
- Security requirements and definition-of-done integration
- CI/CD and pipeline security guidance (artifact integrity, branch protections, secrets controls)
- Security testing strategy aligned to maturity
- Developer enablement: secure coding guidance and targeted training
- Vulnerability triage and remediation workflow design
Product security
Product security assessments and hardening
- Product attack surface analysis
- Secure configuration and default posture review
- Release readiness and security gating recommendations
- Risk review for new features and architectural changes
Vulnerability management and PSIRT support
- Intake and triage process design
- Severity scoring guidance and remediation SLAs
- Coordination support across engineering, support, and customer-facing stakeholders
- Security advisory practices and customer communications (as appropriate)
Security assurance for customer trust
- Security questionnaire support and response strategy
- Security posture narratives and standard evidence packs
- Alignment guidance for common expectations (policies, controls, secure development claims)
Cyber security
Cloud and infrastructure security reviews
- Cloud configuration and identity review (IAM posture, privileged access patterns, segmentation)
- Logging and monitoring readiness assessment
- Network exposure and ingress/egress review
- Secure remote access patterns and administrative controls
- Hardening recommendations for high-risk services and misconfiguration patterns
Incident readiness and response preparation
- Incident readiness assessment (people/process/technology)
- Logging, alerting, and triage workflow design
- Tabletop exercises and scenario-driven readiness testing
- Lightweight playbooks aligned to your environment
Security program advisory and virtual CISO support
- Security roadmap development and prioritization
- Risk management structure (risk register and decision cadence)
- Vendor/security review support for critical suppliers
- Metrics and executive reporting that align security to business objectives
AI governance
AI use policy and standards
- An AI use policy stating which tools are approved, for what work, and with what data
- Handling rules for company and customer information going into AI tools
- Review of an existing policy against how teams are working today
AI tool and vendor security review
- Security review of an AI tool or service before it is adopted
- Vendor questions on data retention, training use, sub-processors, and tenancy, answered in writing
- A recommendation with the conditions of use attached to it
AI-assisted development practice
- SOPs covering what an assistant may touch and what a human reviews before a change merges
- Configuration and guardrails for AI coding assistants in a repository
- Secret handling and dependency risk where an assistant writes part of the change
Typical deliverables
- A written policy sized to how the organization already works
- SOPs an engineer can follow without a security person in the room
- A tool review memo carrying the decision, the conditions, and what to check again later
Security across your delivery lifecycle
-
Design
Trust boundaries and data flows, reviewed before the code exists.
-
Build
Secure development lifecycle and developer enablement.
-
Release
What has to be true before a build ships.
-
Operate
Vulnerability management and PSIRT support.
-
Evidence
Reports your team can put in front of a customer or an auditor.
Engagement models and common questions
Engagement models
- Fixed-scope assessments: defined scope, timeline, deliverables; optional retest.
- Retainer and ongoing support: monthly allocation for continuous improvement.
- Project-based programs: SDLC rollout, vulnerability management buildout, incident readiness upgrades.
Frequently asked questions
Do you only work with small businesses? No. The delivery model changes with size and maturity, and the work does not.
Can you integrate with our development workflow? Yes. Findings land in your tracker, on your cadence, in a form your engineers can pick up.
Working with us
Security work inside your existing process
How engagements run
The work covers the lifecycle: requirements and design, build pipelines, release readiness, and production. Threat modeling, architecture and design review, code and dependency risk analysis, pipeline hardening, and cloud and infrastructure review are the usual pieces. Penetration testing is scoped and sourced here and the findings come back for triage; a specialist vendor runs the test.
Most decisions about AI get made by engineers week to week, ahead of any policy. The AI work is the policy itself, the standards for what data may go into which tool, and the SOPs a team follows when an assistant writes part of a change. Tools and vendors get reviewed before adoption, while the answer can still change the decision. Data handed to a vendor's model is hard to withdraw later, and a policy written after a tool is already in daily use is harder to enforce than one written ahead of it.
Some clients want a fixed-scope assessment with a prioritized plan. Others need advisory support while they stand up a secure development lifecycle, or ongoing help for a product team shipping every two weeks.
What you get back
A founder or a security leader is usually asking a wider question: where risk sits across the company, how much of it matters, and what to do first. Engagements answer that with a ranked risk view, a decision cadence to keep it current, a roadmap in priority order, and reporting an executive can take into a board meeting or a customer's security review. Some risk gets reduced by lowering what an incident costs once it happens, and the incident readiness work is aimed there.
Engineers get reproduction steps, root cause, and remediation options that fit the codebase and the deployment model. Product and executive readers get risk framing, priorities, and what each fix costs in effort and calendar time. Both come out of one engagement and one readout.
Every finding is tied to what it would cost the business. Every recommendation names an implementation path and says what risk you carry if you defer it. Nothing arrives as a scanner dump.
Contact
Schedule an initial consultation
Mailing address
Digital Consulting, Inc.P.O. Box 227
Woodland Hills, CA 91365-0227
United States