14 days. That’s how long it took Oracle Red Bull Racing’s security team to manually provision access for a new engineer before automation. Now, it takes under 30 seconds.
- Security provisioning time dropped from 14 days to under 30 seconds per engineer
- The team reduced manual access reviews by 90% using automated workflows
- Every code commit now triggers real-time policy checks, not batch scans
- Automation stack integrates with GitLab, Jira, and Okta across 150+ repositories
- Zero reported breaches since rollout began in Q4 2025
The Clock Is the Enemy
In Formula 1, a 0.3-second delay can cost a pole position. Off the track, Oracle Red Bull Racing faces a different kind of race — one where engineers can’t afford to wait two weeks to get access to systems they need to build, test, and deploy car telemetry software.
Before April 2025, every new hire in the engineering division had to wait up to two weeks for IT to manually set up access to code repositories, simulation tools, and data lakes. That bottleneck didn’t just slow innovation — it created security gaps. Engineers bypassed controls. Temporary credentials got forgotten. Audit trails were a mess.
Then the team flipped the script.
Instead of treating security as a gatekeeper function, they rebuilt it as an enabler — one that moves at the same speed as the cars on track. By April 2026, access provisioning happens in seconds. Policy enforcement is baked into CI/CD pipelines. And manual reviews? Down 90%. This isn’t just efficiency. It’s survival at scale.
Automation as a Competitive Advantage
Most teams talk about DevSecOps. Red Bull built it — and not because they wanted to check a compliance box. They did it because they couldn’t win otherwise.
The car itself is a rolling data center. Every sensor, every wheel, every brake pad feeds real-time telemetry back to the garage. Engineers use that data to tweak setups mid-race. But to do that, they need access — fast. And secure. And traceable.
The old model collapsed under its own weight. Centralized IT teams couldn’t keep up with the pace of development. More engineers meant more tickets. More tickets meant more delays. More delays meant frustrated developers cutting corners.
Now, the process is reversed. When an engineer joins, their role in HR triggers an automated workflow. Okta pulls in the profile. GitLab access is granted based on team and project. Jira permissions follow. All within seconds. No tickets. No Slack pings. No waiting.
And if someone moves from aerodynamics to powertrain? The system revokes old access and grants new rights — automatically. No follow-up needed.
No More Batch-and-Catch
The biggest shift? They killed the batch review cycle.
Before, quarterly access audits meant sifting through thousands of user permissions by hand. Mistakes were inevitable. Overprivileged accounts slipped through. Forgotten contractors lingered in systems.
Now, every access decision is evaluated in real time. If a developer tries to access a restricted data lake, the system checks their role, project status, and location — then approves or blocks instantly. No human in the loop. No lag.
It’s not just about access. Code commits trigger automated security checks — not scheduled scans. If a developer pushes code that violates policy, it’s flagged before it merges. Not after. Not during a monthly audit. Immediately.
The Toolchain Stack
The automation runs on a stack stitched together from off-the-shelf tools, not custom code. Okta handles identity. GitLab manages code and CI/CD. Jira tracks work. And a lightweight orchestration layer — built in-house using Python and Kubernetes — connects the dots.
That orchestration layer is the secret sauce. It listens for events: a new hire in Workday, a role change in Jira, a repo creation in GitLab. When it detects one, it triggers the right action — no prompts, no approvals, unless risk thresholds are crossed.
For example: a junior developer requesting access to live race telemetry? That triggers a manual approval. But access to test environments? Fully automated.
The system logs every action. Every change. Every revocation. Audit trails aren’t generated after the fact — they’re built into the flow. That’s made compliance with FIA data rules and GDPR not just easier, but nearly invisible.
Security at 200mph
What makes this notable isn’t the tech — most of it is standard in enterprise IT. It’s the velocity. Most companies implement automation to reduce headcount. Red Bull did it to keep up with the pace of innovation.
They’re not just securing systems. They’re enabling speed. And in F1, speed is everything.
The irony? The same cultural obsession with milliseconds on the track forced them to fix security debt. Because if the car’s software can’t be updated fast enough — or worse, if a breach forces a rollback mid-race — you lose. Period.
So they treated security like an engineering problem, not an IT problem. They measured it in seconds, not compliance checkboxes. And they gave engineers what they actually need: trust, access, and speed — all without sacrificing control.
Why This Isn’t Just for Race Teams
You don’t need a wind tunnel to learn from this. Most engineering teams are drowning in access requests, audit cycles, and security bottlenecks. They accept delays as normal. They treat security as a tax.
Red Bull shows it doesn’t have to be.
Their model proves that automation isn’t about replacing people — it’s about removing friction. When security moves at the same speed as development, you don’t slow down. You accelerate.
And the best part? They didn’t need AI, blockchain, or some flashy startup tool. Just disciplined use of existing platforms, clear policies, and a commitment to real-time enforcement.
It’s a reminder: the most powerful security upgrades aren’t always the most complex. Sometimes, they’re just fast.
The Bigger Picture: Real-Time Risk in Modern Engineering
What Red Bull achieved reflects a broader shift in how technical organizations manage access and risk. In 2024, the average enterprise used 130 SaaS applications; by 2026, that number jumped to over 180, according to Okta’s Business at Work report. Each tool adds another identity silo, another access point, another potential failure. Manual governance in that environment isn’t just inefficient — it’s functionally impossible.
Other high-velocity tech companies are noticing. At Netflix, automated role-based access provisioning has reduced onboarding time from 5 days to under 2 hours across its 7,000 engineers. Shopify implemented real-time access revocation for contractors in 2025, cutting orphaned accounts by 97%. These aren’t isolated wins. They’re responses to the same pressure Red Bull faced: the more your business runs on code, the less tolerance you have for security lag.
The difference? Red Bull operates under physical-world constraints. A misconfigured sensor feed isn’t just a debugging issue — it could mean misreading tire wear during a race, leading to a pit stop too late. That tangible consequence forces faster decisions. Most companies don’t feel that pressure until after a breach. By then, it’s too late.
This shift also aligns with changes in regulatory expectations. The EU’s NIS2 Directive, effective October 2024, requires real-time logging and access review for critical infrastructure providers. While F1 teams aren’t classified as such, the overlap in data sensitivity — especially with cross-border telemetry and cloud-based simulation — means compliance frameworks are converging. Red Bull’s system doesn’t just prevent breaches. It future-proofs against tightening rules.
What Competitors Are Doing — and Where They’re Falling Short
Red Bull isn’t the only F1 team modernizing its DevSecOps pipeline. Mercedes-AMG Petronas upgraded its CI/CD security in 2025 with GitLab’s compliance controls and automated Jira workflows. But their process still relies on biweekly access reviews, creating a 14-day window where policy drift can occur. Ferrari’s team uses Palo Alto Prisma Access for zero-trust networking but hasn’t integrated identity automation at the HR level, leaving onboarding delays at 7–10 days.
McLaren Applied, which licenses its data platform to other industries, built a similar orchestration layer using HashiCorp Vault and Azure AD. However, their deployment is limited to cloud services, not on-premise simulation clusters — a blind spot during races when internet connectivity is restricted. Red Bull’s Kubernetes-based engine, in contrast, runs locally in the garage, ensuring access decisions happen even when disconnected from central systems.
Outside motorsports, automakers are catching on. Tesla’s factory software teams use automated provisioning for over 5,000 engineers, but their access policies are still updated in batch mode every 72 hours — a gap that led to an internal audit finding 12% of users had excessive privileges in Q1 2026. Rivian and Lucid have lagged further, with manual access requests still the norm in their software divisions.
The lesson? Integration depth matters more than tool selection. Red Bull didn’t outspend others. They connected systems end-to-end — HR to identity to code to audit — and enforced policy at every handoff. That’s why their breach count remains zero while peers report minor access incidents annually.
What This Means For You
If you’re a developer, this should feel familiar. You’ve waited days for access. You’ve worked around broken workflows. You’ve seen security teams act like roadblocks instead of partners. Red Bull’s playbook shows that doesn’t have to be the default. You can demand systems that move at your pace — and hold leadership accountable when they don’t.
For engineering leads and CISOs, the lesson is sharper. Manual processes aren’t just slow — they’re dangerous. Every delay creates pressure to bypass controls. Every batch review misses real-time risks. Automating access and policy isn’t a cost-saving move. It’s a risk-reduction imperative. And if a racing team can do it with off-the-shelf tools, so can you.
What if your next hire had full, secure access before their first meeting? What if every code commit was checked against policy — instantly? That’s not sci-fi. It’s what happens when you stop treating security like a checkpoint and start treating it like code.
The question isn’t whether you can automate. It’s why you haven’t already.
Sources: Dark Reading, original report
