It starts the same way in almost every engineering team.
Developers are moving fast, building features, integrating third-party packages, and now, writing code with AI copilots. The CI/CD pipelines are humming day and night, pushing updates to production faster than ever. Customers are happy with the speed.
But in the back of every CISO’s mind sits the same gnawing question: “Can I trust what we’re releasing?”
When Speed Outruns Trust
For years, the default answer was “we’ll scan it later.” Vulnerability scanners would flag risks, and security teams would scramble to triage them after the build. But over time, the flaws in this model became obvious.
- A dependency update sneaks in a poisoned library.
- A misconfigured pipeline leaks a secret.
- And now, AI-generated code introduces bugs at a volume no human review team can keep up with. The scale kills “shift left” (and it wasn’t in the greatest shape to begin with…)
What once felt like “good enough” was now overwhelmed by scale. Regulations, too, began catching up: SSDF, SLSA, EU CRA, DORA, FedRAMP – all demanding proof that software is built securely, not just promises.
That’s when Scribe Security’s story begins.
Chapter One: The Evidence Factory
Scribe’s founding idea was simple: if you can’t prove security with evidence, you don’t have security at all.
So we built ScribeHub, a platform that quietly sits inside the software factory and collects signed evidence at every step. It doesn’t grab source code; instead, it gathers:
- SBOMs and even AI-BOMs.
- Build metadata, pipeline posture, scanner outputs.
- Signatures and provenance records.
- Who approved what, when, and where.
Each piece is signed, encrypted, and fed into a tamper-proof knowledge graph – a living map of the entire SDLC.
Now, for the first time, a product security leader could answer hard questions with confidence based on hard evidence: Where did this container come from? Who signed it? Did it pass every policy check?
It was a leap forward. But then AI changed the pace again.
Chapter Two: When AI Becomes the Builder
AI coding assistants multiplied developer productivity, but also developer mistakes. Functional code appeared instantly, but so did misconfigurations, vulnerabilities, and exposed secrets.
Suddenly, the problem wasn’t just scale, it was exponential scale.
The Scribe team realized that if AI could create risks faster than humans could fix them, then AI also had to help remediate those risks. That insight sparked our next evolution: Agentic AppSec.
Chapter Three: The Rise of the Agents
Instead of one monolithic AI, we designed a network of specialized agents, each focused on a critical piece of the software supply chain:
- Heyman, the AppSec copilot, talks in plain English. Ask “show me exploitable vulns in payments service,” and it not only answers but opens the right Jira tickets.
- Remus doesn’t just suggest fixes; it creates pull requests, validates changes, and updates provenance records.
- Docktor optimizes Dockerfiles – choosing safer bases, shrinking images, re-evaluating builds.
- Compy continuously checks compliance frameworks and drafts audit-ready reports.
- Eva ensures evidence is collected correctly across every pipeline.
Each agent pulls from the same evidence graph, ensuring their actions are consistent, explainable, and auditable.
Together, they transform security from a manual bottleneck into a frictionless, automated safety net.
Chapter Four: Trust Without Slowing Down
The magic lies in how invisible these checks are to developers.
Push code as usual, and behind the scenes:
- Artifacts are signed.
- SBOMs are generated.
- Policy gates enforce what’s allowed.
- Agents analyze risks and, when safe, auto-remediate.
Developers see only what matters: a clean PR that fixes a vulnerability, or a ticket that explains why a build was blocked. Security no longer slows releases; it accelerates them safely.
Chapter Five: Proof in the Real World
Organizations using Scribe report powerful results:
- 40–70% reduction in vulnerability noise through contextual triage.
- MTTR (mean time to remediate) is cut from weeks to hours for recurring findings.
- Audit prep slashed by more than half thanks to continuous evidence collection.
- Improved release stability – fewer last-minute blocks, fewer hotfixes.
And most importantly: the ability to ensure that every software release meets your mandatory security requirements to prove, not just claim, that every release is secure.
Epilogue: Security in the AI Era
The story of software security is no longer about scanning after the fact. It’s about building trust into the pipeline itself.
Scribe Security’s evolution, from continuous assurance to agentic AppSec, is a recognition that the world has changed:
- Software is faster.
- Risks are faster.
- And now, thanks to Scribe, security is faster too.
With evidence as the foundation and AI agents as the workforce, Scribe delivers what every CISO and developer needs: software you can trust, at the speed you must ship. Read the full story
This content is brought to you by Scribe Security, a leading end-to-end software supply chain security solution provider – delivering state-of-the-art security to code artifacts and code development and delivery processes throughout the software supply chains. Learn more.
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