Why this is hard today
- Lots of apps, few defenders. Around 4,000 applications and a small security team. No team can read every alert by hand.
- Tools already exist. Wiz watches the cloud and does that well. But cloud alerts and code alerts live in different places.
- AI writes more code every week. Coding agents help 800 engineers ship faster. More code means more things to check.
- The real question. Out of thousands of findings, which 20 should we fix this week? Today that answer is slow and manual.
- Scale mismatch. A lean AppSec function covering roughly 4,000 applications and 800 engineers cannot manually triage multi source findings. Triage, dedup, and ownership assignment must be automated.
- Siloed telemetry. CNAPP output (Wiz) is workload centric. SAST, SCA, and pipeline findings are code centric. Without an application layer joining them, severity scores lack runtime and business context.
- AI velocity. Agent assisted development raises commit volume and changes the defect profile. Review capacity must scale with generation speed, not headcount.
- Prioritization gap. Raw CVSS ranks poorly against exploitability, reachability, and asset criticality. Risk based prioritization needs threat intelligence fused with application context.
Three agents, one outcome
See everything in one place
- Collects findings from Wiz and your code scanners
- Removes duplicates and noise
- Knows which app each finding belongs to
- Sends each item to the right team, ranked
How many hours went to dedup and ticket routing last month?
Know what attackers care about
- Checks each finding against live threat data
- Answers: is this actually being exploited?
- Scores the health of the libraries you use
- Moves the truly risky items to the top
Which of your criticals are actually being exploited in the wild?
Check code as fast as AI writes it
- Reviews new code automatically, including AI written code
- Works at the speed of your coding agents
- Flags real flaws, not style noise
- Keeps releases moving safely
Who reviews the code your coding agents write?
Aggregation and context
- Ingests CNAPP (Wiz), SAST, SCA, DAST, and pipeline findings via native connectors
- Correlates and deduplicates across sources into canonical findings
- Maps findings to an application inventory with business criticality
- Auto assigns ownership and routes per team backlogs with SLA tracking
How many hours went to dedup and ticket routing last month?
Threat informed prioritization
- Five metric model: Vendor Health, Confidence Level, Enterprise Watch, Library Scoring, Phoenix HP master score
- Fuses exploitability and exposure data with per app context
- Reranks beyond CVSS toward likelihood and impact
- Feeds executive risk reporting in business terms
Which of your criticals are actually being exploited in the wild?
AI speed code assurance
- Agentic analysis of commits, including agent generated code
- Reachability aware detection to suppress non exploitable noise
- Runs in the development flow at commit and merge time
- Findings land in the same Orange backlog with full context
Who reviews the code your coding agents write?
From noise to one clear backlog
The gap grows every quarter
- AI adoption is already company wide. Saint-Gobain gave every employee a secure AI assistant. Engineering uses coding agents. That ambition deserves security that moves at the same speed.
- More code, same team. If code doubles and the security team stays the same size, only smarter tooling closes the gap.
- Small start, fast proof. Connect Wiz and one code pipeline for one business unit. See cleaned, ranked results in about two weeks.
- Velocity trend. Agent assisted development compounds: commit volume grows while manual review capacity is flat. The exposure window widens unless analysis is automated in the pipeline.
- Pilot scope. Read only Wiz API connector plus one SCM integration, one BU. Success criteria: deduplication rate across sources, noise reduction after Blue reranking, time to owner for new findings.
- Effort. Connector setup measured in hours, not weeks. No agents on endpoints, no traffic interception, no change to existing scanners.
Three easy steps
Scoping call
Pick one business unit, confirm the tools to connect, and agree what a win looks like.
Two week pilot
Connect Wiz and one code pipeline. Phoenix cleans, ranks, and routes real findings from your estate.
Review the numbers
Duplicates removed, noise cut, and a ranked backlog per team. Decide the rollout from evidence, not slides.
Ready to see it on your own estate?
One question first
Which grows faster at Saint-Gobain today: code shipped or security headcount?
Straight to it then.
Next step: a 30 minute scoping call with Phil Moroni at Phoenix Security. Pick one business unit, connect Wiz and one code pipeline, and review real numbers two weeks later. Reply to the meeting invite and we will lock in the date.