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You don’t have the coverage you need. Your team can’t review every pull request, join every design discussion, or catch every flaw before it ships. And that's exactly where risk builds up. Quietly. Steadily. Until it’s too late.
Developers push features fast, while leaving security reviews lagging behind. So they start skipping them. Not of malice, but because they’re under pressure to deliver, and the process doesn’t scale. Meanwhile, your team is buried in tickets, scrambling to keep up, and forced into a reactive cycle that never ends.
That’s why Security Champions programs exist. But let’s be clear: slapping a title on a developer and calling them a “champion” doesn’t solve anything. You’ve probably tried the nice approach, light guidance, a few lunch-and-learns, maybe a Slack channel that’s been quiet for weeks. And you’ve seen how little it makes any difference.
They’re vague, unsupported, and built more for optics than outcomes. You give someone a title, drop them into a Slack group, and hope they somehow turn into a security advocate. They don’t.
The core problem is structure (or the lack of it). Someone on the team gets nominated, usually because they’ve been around the longest, and that’s it. No time allocation, no role clarity, and no path to impact. You’re asking them to champion security without giving them the time, tools, or backing to actually do it.
And when that happens, nothing changes. Same issues keep showing up in reviews. Same back-and-forth with AppSec. Same fire drills. Only now, there’s someone wearing a champion badge who’s just as overworked and unclear as everyone else.
Here’s what that failure looks like in practice:
Another issue? Choosing champions based on rank instead of influence. A senior engineer might be respected technically but ignored when they talk about security. On the other hand, a staff-level dev who owns critical features and mentors others might be the one who actually drives behavior change. That’s the person you need.
And it’s not just about who you pick, but also what they’re accountable for. If there’s no clear scope or expectations, then they don’t know when they’re succeeding or failing. Neither do you.
What makes this worse is the lack of enablement. You can’t expect a developer to coach others on secure design, threat modeling, or risk tradeoffs unless they’ve seen what good looks like. Most programs don’t provide real training, contextual examples, or support from the AppSec side. The result is a champion network that doesn’t build confidence… it just sits there.
There's no need to ask developers to do AppSec's job. Instead, you can focus on changing how your teams operate so that security isn’t something bolted on at the end or passed off to another group. It becomes part of how software gets built: inside the actual engineering work, owned by the people closest to the risk.
Distributed ownership means security decisions happen within the team, during design reviews, code discussions, and feature planning. Because here, you’re not just giving engineers an escalation path, but the skills, context, and authority to recognize issues early and act on them. This changes the game in three key ways:
This model only works when teams are equipped. Developers need to know what good looks like. They need examples, context, and real ownership over outcomes. Otherwise, you end up back in the same loop, with security bottlenecks, late reviews, and risk piling up quietly.
Scaling AppSec isn’t about adding more AppSec engineers every time coverage drops. It’s about getting developers to think like security, act early, and build defensible systems from the start. The Security Champions model can help you get there, but only when it’s designed to drive real ownership.
Who you're looking for is someone who's already operating like an extension of the AppSec team. Someone who knows the code, cares about quality, and has enough influence to actually shift team behavior.
These people don't usually raise their hands first. They’re the ones who’ve already flagged insecure patterns in reviews, helped clean up auth logic, or pushed back on risky shortcuts. They ask questions that go beyond functional correctness. They care about how systems behave under pressure and what could go wrong when things scale.
The traits that matter are consistent across teams:
Watch out for the usual failure signals. These are the signs your program will stall before it starts:
There’s a better way to identify the right people, and it’s all in your engineering data. Look at who’s already touched security-relevant code. Check who’s contributed to past incident reviews, who’s fixed the most auth, input validation, or crypto bugs. Look at code review data. Who’s leaving comments that actually improve safety and robustness?
When you do that, you stop recruiting based on potential and start investing in people who already care about secure engineering. You’re basically recognizing a behavior that already exists and putting structure around it.
You don’t get long-term engagement from developers by handing them a title and vague expectations. What you need is structure that aligns with how engineering teams actually work. That means clear scope, real time carved out in the sprint, and outcomes that show up in delivery metrics instead of just status updates.
Champions should be decision participants. That means they own security outcomes inside their domain, such as in code quality, architectural decisions, incident readiness, and team-wide secure practices. Here’s what strong scope looks like across engineering workflows:
This is real work that touches almost every stage of the lifecycle. Without a clear scope like this, champions will default to being passive, flagging issues but not resolving them, asking questions but not driving outcomes.
Security work doesn’t happen in leftover time. Instead, you need to schedule it like any other engineering function. Managers need to know what their champion is responsible for and agree to create space for it. Here’s what good alignment looks like:
Without this, security work always loses to roadmap pressure. And champions become less effective every sprint they’re deprioritized.
You need to measure whether the program is reducing risk. That means focusing on outcomes, such as what changed, where coverage improved, and how incidents dropped. Track metrics like:
Each of these can be tied to specific services, teams, or repos, and champions should be accountable for driving improvements alongside their engineering leads.
Engineers respect roles that are scoped, scheduled, and measured. Just like any other part of the software lifecycle. When that structure is missing, champions default to reactive tasks, their work gets ignored, and AppSec ends up back in the loop anyway.
So before you roll out a program, make sure you’ve locked down:
Otherwise, you’re just putting a new name on the same old problem.
The most overlooked part of any champions program is investment. You expect engineers to take on security responsibilities, influence decisions, and improve risk posture. But what about training, tools, and a path forward? That’s how programs fail quietly: not because of bad intent, but because you underinvested in the people doing the work.
Security champions are expected to lead threat modeling, review critical code, and advise on risk. That means they need a deeper skill set than your average secure coding module provides. The training has to match what they actually do. At a minimum, that should include:
This training needs to happen more than once. It should be revisited as your systems evolve, threat models shift, or new risk areas show up in post-incident reviews. Security Champion training is a standing commitment, and not a one-off workshop.
They don't have the time to build everything from scratch. If they need to run a threat model or lead a security review, they should be able to pull up a vetted template and go. If they’re coaching a team on safer design patterns, they should have reference examples that match your architecture. You need to equip them with:
These should be tailored for microservices, serverless apps, APIs, and data pipelines instead of one-size-fits-all documents. Include prompts that help identify trust boundaries, data flow risks, and system dependencies.
Break these down by category, such as input handling, auth logic, secrets, API exposure, infra misconfigurations, and map them to common design and implementation decisions. Good checklists prevent misses in high-pressure reviews.
Provide internal examples of how your org handles RBAC enforcement, TLS configurations, API rate limiting, or secure token management. Don’t describe the concept. Show your teams already solved it.
Maintain a catalog of threats you’ve actually encountered, from auth bypass to SSRF to privilege escalation chains. For each one, include the affected system, detection methods, and remediation pattern.
Curated examples of secure architecture patterns that map to your org’s environment, such as how to isolate sensitive workloads on Kubernetes, enforce secure defaults in Terraform, or configure zero-trust proxies.
Playbooks need to cover what champions are expected to do during security incidents, like triage steps, log locations, escalation contacts, and rollback processes tailored to their service or stack.
Give champions a package to onboard new teammates into secure engineering practices for their area. Include common risks, test cases, and what good looks like for that team’s architecture.
These assets should be accessible directly in PR templates, IDE extensions, or developer portals. If you bury them in SharePoint or Confluence, they won’t be used.
When your champions have immediate access to tools that reflect your environment and address real decisions they face, they’re far more likely to step into the role consistently and effectively.
Security leadership often underestimates how much risk accumulates in silence. As in through routine inaction, and not through catastrophic misses. A Security Champions program is one of the few levers that can shift that reality from the inside. But only when it’s treated as infrastructure.
This is all about velocity. The longer you rely on a centralized AppSec team to gate every critical change, the more delay you bake into your own roadmap, and the more risk goes unaddressed under deadline pressure.
The pressure will only grow from here. Developer productivity tools are accelerating output. AI is generating code faster than most teams can review. And unless you’ve embedded security judgment at the point of design and commit, your surface area will grow faster than your coverage.
Security Champions programs will either mature into distributed security teams that drive real decisions... or they’ll collapse under the weight of unclear scope and passive engagement.
Make the call now. Design the program with purpose, fund it with intent, and tie it directly to the systems you care about most. Anything less is organizational theater.
AppSecEngineer’s Security Champions training is built for exactly this shift. Your champions get practical, real-world security skills that apply directly to how code is written, including threat modeling for AI-generated systems. If you’re serious about security at scale, this is the next step worth taking.

Most programs are unsuccessful because they are not built with clear structure, support, or measurable outcomes. They often fail due to: Vague expectations, which causes champions to be passive and not drive solutions. Selecting champions based on seniority or organizational rank rather than influence and actual security involvement. A lack of protected time for security work, leading to it being constantly deprioritized under sprint pressure. Insufficient or generic training, which leaves champions unprepared to lead secure design or threat modeling. No tracking of measurable changes in risk reduction or security coverage since the program's start.
The core goal is to establish distributed security ownership. This means embedding security into the regular engineering workflow, where security decisions are made within the development team—during design, code discussions, and feature planning. This shifts the focus from AppSec gatekeeping every change to engineers owning the security outcomes for their own systems.
Distributed security ownership changes the development lifecycle in three critical ways: Threats are flagged earlier: Developers can identify design flaws and attack patterns before code is implemented, which is much more effective than finding issues during a late-stage review. Fixes happen faster: The person writing the code understands the security model, allowing them to spot problems and apply controls without waiting for a lengthy, external triage cycle. AppSec focuses on high-impact work: The central AppSec team is freed from wasting time on basic misconfigurations, allowing them to concentrate on systemic patterns, high-risk architecture, and deeper analysis.
Do not select champions based on title or who volunteers first. Instead, look at existing engineering data and behavior. The best candidates are people who already act like an extension of the AppSec team. Look for engineers who have: Already flagged insecure patterns in code reviews. Contributed to past incident reviews. Fixed the most authorization, input validation, or cryptography bugs. Left code review comments that consistently improve safety and robustness. High peer credibility and code-level influence within the team.
Effective champions possess key traits that allow them to shift team behavior: Peer Credibility: The team respects and listens to them on technical and quality standards. Curiosity: They want to understand the impact of a security issue, the underlying pattern, and how to prevent it in the future. Code-Level Influence: They are active in pull requests, shape implementation details, and set the standard for secure code quality. Reliability: They are consistent and follow through on their security tasks, which demonstrates their commitment to risk ownership.
Security Champions should be decision participants who own security outcomes within their domain. Their scope should cover almost every stage of the lifecycle: Design phase: Lead or participate in threat modeling, reviewing data flow, authentication models, and integration risks. Development: Review pull requests that touch security-critical logic, such as input validation, authorization, and secrets handling. Testing: Help integrate misuse-case testing and identify gaps in security control coverage. Deployment and Ops: Ensure infrastructure-as-code templates use secure defaults and validate logging, monitoring, and Role-Based Access Control (RBAC). Incident Response: Act as the first security contact for their team’s code, supporting triage, containment, and post-mortem analysis.
Security work will always lose to roadmap pressure if it is not scheduled and protected. Managers must explicitly allocate a defined number of hours or story points per sprint for champion duties. This time must be tracked in the same system used for regular engineering work (e.g., Jira, Linear), and security initiatives should be part of the team's regular planning rhythm, like Quarterly OKRs and retrospectives. Without this protection, champions become less effective due to constant deprioritization.
Program success should be measured by risk reduction and improved coverage, not just status updates. Key outcomes to track include: Threat Modeling Coverage: The percentage of new features or services with a completed and reviewed threat model before implementation. Time to Resolution: The median time it takes for a security finding to be fixed and merged by a specific team or repository. Review Effectiveness: The frequency of repeat issues in secure coding areas like access control or data validation, which indicates if champion coaching is effective. Incident Readiness: Champion participation in Incident Response (IR) drills, documented runbooks, and validated escalation paths for their owned service.
Training must be hands-on and contextual to the champion’s work, moving beyond generic modules. Essential topics include: Hands-on secure coding labs tailored to the organization’s specific tech stack and frameworks. Threat modeling walkthroughs focused on real, internal services. Simulated red team or incident response scenarios to build practice under pressure. Labs and exercises on secure design patterns for APIs, authorization systems, and cloud infrastructure.
To ensure consistency and efficiency, champions need immediate access to ready-to-use assets that reflect the organization’s environment and integrate into their workflow. These include: Threat modeling templates scoped for specific architectures like microservices or data pipelines. Review checklists broken down by security categories like API exposure or secrets handling. Secure-by-default reference implementations that show how the organization handles standards like RBAC, TLS configuration, or secure token management. A searchable internal threat library cataloging threats actually encountered, including detection and remediation patterns. IR playbooks with system-specific procedures, log locations, and escalation contacts. Integration with dev tooling so assets are easily accessible in PR templates, IDE extensions, or developer portals.

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Koushik M.
"Exceptional Hands-On Security Learning Platform"

Varunsainadh K.
"Practical Security Training with Real-World Labs"

Gaël Z.
"A new generation platform showing both attacks and remediations"

Nanak S.
"Best resource to learn for appsec and product security"





.png)
.png)

Koushik M.
"Exceptional Hands-On Security Learning Platform"

Varunsainadh K.
"Practical Security Training with Real-World Labs"

Gaël Z.
"A new generation platform showing both attacks and remediations"

Nanak S.
"Best resource to learn for appsec and product security"




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