Understand the codebase.
Security context lives across files and functions. Sentinel’s prototype analyzes repositories to investigate code in context.
CONTEXT OVER PATTERN MATCHES AUTONOMOUS SECURITY. HUMAN AMBITION.
Your code
moves fast.
Security should
think ahead.
The autonomous AI security engineer
for modern codebases.
From understanding your repository to finding a path to a fix. We’re building Sentinel to turn security from an endless queue into work that gets done.
In active development. Built for what comes next.
REPOSITORY INTELLIGENCEFIG. 001
Context before conclusions.CONCEPTUAL VIEW
01 / A DIFFERENT KIND OF SECURITYBuilt to understand, not just flag.
Another alert isn’t
the answer.
Your team needs a way through the noise.
Finding a suspicious line is only the start. Someone still has to understand the surrounding system, investigate the risk, and work out a fix. That’s the gap Sentinel is built to close.
Investigate what matters.
Our next step: specialized agents that interrogate potential findings and validate exploitability before asking for your attention.
EVIDENCE OVER ALERT VOLUMEMove toward resolution.
AI-assisted remediation today. A connected workflow for proposing and verifying fixes is the direction we’re building toward.
PROGRESS OVER BACKLOGS02 / THE AUTONOMOUS WORKFLOWNEXT-PHASE ARCHITECTURE
One mission.
Specialized minds.
We’re designing a Claude-powered team of agents, each responsible for a different part of the security investigation. From the first signal to a verified fix.
AGENT 01 / DISCOVER
Read the system. Find the weakness.
A discovery agent maps repository context and follows how untrusted input moves through the code, looking for vulnerabilities that isolated pattern matches can miss.
Candidate identified
api/routes/documents.tsILLUSTRATIVE
Potential path traversal
router.get('/documents/:name', (req, res) => { const name = req.params.name; const file = path.join(DOCUMENTS_DIR, name); return res.sendFile(file);});User-controlled input reaches a filesystem operation.
An interactive look at our planned architecture. This example is illustrative; autonomous validation and fix verification are in development.
03 / BUILT FROM A WORKING FOUNDATIONA prototype today. A bigger vision ahead.
Real code.
Real complexity.
A running start.
Sentinel began with repository-aware security analysis. We’re evolving that foundation into an autonomous application security platform.
Talk to the founderAI-native, from the first commit.
CURRENT PROTOTYPE
Repository-aware analysis
Investigates software repositories with codebase context, rather than treating every file as an island.
AI-powered vulnerability detection
Uses Gemini to identify potential security weaknesses and produce structured findings.
Incremental rescanning
Revisits changed code so analysis can keep moving with the repository.
SARIF exports
Exports findings in a standard format for use in compatible security tooling.
AI-assisted remediation
Helps turn a finding into a proposed code change for an engineer to review.
04 / THE LONG VIEW
Software is being built
at a new speed.
Security needs a new mind.
We believe the future of application security is an engineer that can reason about your system, investigate its weaknesses, and help make it stronger.
Sentinel Security Labs is an early-stage company building toward that future: autonomous security engineers that take on the investigative work, so people can focus on the decisions that matter.
SENTINEL SECURITY LABS / INDEPENDENTLY BUILDING HELP SHAPE WHAT COMES NEXT
Build fast.
Stay a step ahead.
Building a modern codebase? We’d like to hear how your team approaches security. Get in touch about early access to Sentinel.
Let’s talk Sentinel founder@ethanjoseph.dev