
Phoenix connects code, cloud, and runtime to catch risk earlier, confirm what's actually exploitable, and route it to the right owner — with a clear path to fix and humans in control.
96–99%
Fewer weekly critical findings, measured at ClearBank.
32K+
Ownership rules mapped straight to teams at Bazaarvoice.
82.4%
Less SCA-to-container noise for a global ad-tech platform.
Recent clients & partners
The problem
Every scanner adds volume. Almost none of them add a decision.
A backlog with ten thousand items looks thorough. It just means nobody's read past the first page.
Teams end up guessing which ones actually matter. That takes hours, every single week.
Too much noiseThousands of findings, no way to tell which ones are real. Teams stop trusting the queue before they finish reading it.
No clear ownerA finding without a team attached sits in a shared backlog until someone finally claims it — or nobody does.
No safe fixEven when risk is confirmed, shipping the fix without breaking something else becomes its own project.
Where teams get stuck
Deciding what matters, then what to do about it, is where the process breaks down — not finding risk in the first place.
One platform, one loop
Every module feeds the same remediation loop, so signal, code, packages and fixes land as one queue — not five disconnected backlogs.
The awareness layer. Catches package and dependency threat signals before they spread through your pipeline.
$ phoenix ingest --feeds ✓ 4 intelligence sources synced: KEV, EPSS, EUVD, OSV ! new exploit added to KEV: CVE-2025-41320 → escalating to Orange for triage
Graph-native SAST and SCA. Scans every PR with full repo context and proves whether a vulnerable function actually sits on a reachable call path.
$ phoenix scan --changed-files ✓ graph loaded: 1,918 nodes · 2,720 edges ! SQL Injection in query builder ✓ path proven: Tainted input reaches raw query · /api/orders → opening safe-to-review fix PR
The same intelligence applied as a live gate — blocking malicious or typosquatted packages at install time, before they ever reach a build.
$ npm install left-pad-evil ! blocked: typosquat detected (edit-distance 1 from left-pad) ✓ 0 malicious packages reached the lockfile → logged to audit trail
One backlog from 30+ scanners. Deduplicated and normalized into a single risk-ranked queue, so noise never buries what actually matters.
$ phoenix ingest --scanners=30 ✓ 112,000 raw findings deduplicated to 7,300 ! 300 marked reachable and business-critical → auto-assigned to owning teams
AI agents draft the fix. Humans approve every merge. Verified fix plans and opt-in pull requests move remediation at scale.
$ phoenix fix --finding=CVE-2024-38821 ✓ fix bundle generated: 3 files, 1 dependency bump ✓ safe-to-merge: tests pass, no breaking change → PR opened, awaiting review
The awareness layer. Catches package and dependency threat signals before they spread through your pipeline.
$ phoenix ingest --feeds ✓ 4 intelligence sources synced: KEV, EPSS, EUVD, OSV ! new exploit added to KEV: CVE-2025-41320 → escalating to Orange for triage
Graph-native SAST and SCA. Scans every PR with full repo context and proves whether a vulnerable function actually sits on a reachable call path.
$ phoenix scan --changed-files ✓ graph loaded: 1,918 nodes · 2,720 edges ! SQL Injection in query builder ✓ path proven: Tainted input reaches raw query · /api/orders → opening safe-to-review fix PR
The same intelligence applied as a live gate — blocking malicious or typosquatted packages at install time, before they ever reach a build.
$ npm install left-pad-evil ! blocked: typosquat detected (edit-distance 1 from left-pad) ✓ 0 malicious packages reached the lockfile → logged to audit trail
One backlog from 30+ scanners. Deduplicated and normalized into a single risk-ranked queue, so noise never buries what actually matters.
$ phoenix ingest --scanners=30 ✓ 112,000 raw findings deduplicated to 7,300 ! 300 marked reachable and business-critical → auto-assigned to owning teams
AI agents draft the fix. Humans approve every merge. Verified fix plans and opt-in pull requests move remediation at scale.
$ phoenix fix --finding=CVE-2024-38821 ✓ fix bundle generated: 3 files, 1 dependency bump ✓ safe-to-merge: tests pass, no breaking change → PR opened, awaiting review
The Token Ledger
a year spent triaging noise that was never exploitable
See the full breakdown on The Token Ledger →What customers say
Named engineers and CISOs, at named companies, on what changed once Phoenix was in the loop.

"Phoenix Security has enabled our engineering teams to address vulnerabilities faster by providing a single pane of glass to their security risk."
Read a case study →
"Cybersecurity is complex. Combining CSPM and ASPM together provides a complete view, helping to prioritize threats effectively."
Read a case study →
"CISO and engineers don't align easily on software security. Phoenix connects CISO and engineer on same risk objectives."
Read a case study →"With Phoenix I can keep track of the development team's performance and discuss with the product owners in terms of risks."

"DevSecOps programs are struggling to keep up with the sheer number of vulnerabilities across multiple build pipelines. Phoenix allows us to focus on the exploitable items first."
These teams already trust Phoenix with their risk. See what it finds in yours.
See Phoenix in ActionControl
Every fix Phoenix proposes is reviewable before it ships. Nothing merges without a human decision.
Outcomes
Not better dashboards — measurable reduction in critical exposure and time-to-fix.
Noise reduction with reachability analysis
Phoenix reachability release
Vulnerabilities removed across the platform
Tracked across code, containers, cloud & runtime

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Scanning tools find vulnerabilities. ASPM tells you which ones actually matter. Application Security Posture Management connects findings from SAST, SCA, containers, and cloud into one normalized model — then adds runtime context, ownership, and business risk. The result: 98% less noise, and a clear path to remediation. Scanners give you a list. ASPM gives you a plan.
No. Phoenix ingests findings from 30+ scanners — Snyk, Wiz, Qualys, Prisma, and more — without ripping anything out. You keep your existing tools. Phoenix deduplicates, normalizes, and adds the context your scanners can’t provide: reachability, ownership, and exploit intelligence. Most teams reduce their critical backlog by over 90% without changing a single scanner.
Phoenix builds a living ownership graph from your repos, pipelines, service catalogs, and on-call data. It maps every vulnerability to the team responsible — not a shared queue. As your org changes, the graph self-heals. No more “who owns this?” tickets. Every finding has an owner before it reaches a developer.
Most teams prioritize by CVSS score. Phoenix prioritizes by what’s actually running and reachable in production right now. A critical CVE in a container that never runs is not your problem. A medium CVE in a reachable service with a public exploit is. Phoenix combines runtime reachability, CISA KEV, EPSS, and threat intel to surface the 2–3% of findings that represent real risk.
Phoenix AI agents analyze the full dependency graph, identify the minimum-impact upgrade path, and generate a fix plan. They open opt-in PRs — nothing merges without developer approval. Agents run campaigns across thousands of repos simultaneously, but every fix goes through your existing review process. Humans stay in control at every step.
Yes. Phoenix remediates across code (SAST), containers, cloud misconfigurations, and infrastructure. The AI agent understands the full stack — it doesn’t just bump a package version. For container vulnerabilities, teams have seen 98% reduction. For cloud critical findings, Phoenix generates fix plans that account for blast radius and compensating controls.
Most teams connect their first scanner in under 30 minutes. Within 24 hours, Phoenix has deduplicated findings, assigned ownership, and surfaced the top 10 risks by reachable exposure. ClearBank reduced their critical container vulnerability count to zero within weeks. Bazaarvoice cut their critical exposure by 94%. You don’t need a 6-month implementation to see results.
Ready for the next step
Bring your backlog. We'll show you what's actually reachable, who owns it, and what ships first.
Major Player (IDC MarketScape)
Named a Major Player in the 2025 IDC MarketScape for ASPM.
Application Security Management Leader
Named Application Security Management Leader in the 2026 Latio report.
Embrace the power of AI, utilize dynamic prioritization, and set targets with one click to ACT on Risk.
Derek Fisher – Head of product security at a global fintech. Speaker, instructor, and author in application security.
Derek is an award winning author of a children’s book series in cybersecurity as well as the author of “The Application Security Handbook.” He is a university instructor at Temple University where he teaches software development security to undergraduate and graduate students. He is a speaker on topics in the cybersecurity space and has led teams, large and small, at organizations in the healthcare and financial industries. He has built and matured information security teams as well as implemented organizational information security strategies to reduce the organizations risk.
Derek got his start in the hardware engineering space where he learned about designing circuits and building assemblies for commercial and military applications. He later pursued a computer science degree in order to advance a career in software development. This is where Derek was introduced to cybersecurity and soon caught the bug. He found a mentor to help him grow in cybersecurity and then pursued a graduate degree in the subject.
Since then Derek has worked in the product security space as an architect and leader. He has led teams to deliver more secure software in organizations from multiple industries. His focus has been to raise the security awareness of the engineering organization while maintaining a practice of secure code development, delivery, and operations.
In his role, Jeevan handles a range of tasks, from architecting security solutions to collaborating with Engineering Leadership to address security vulnerabilities at scale and embed security into the fabric of the organization.
Jeevan Singh is the Director of Security Engineering at Rippling, with a background spanning various Engineering and Security leadership roles over the course of his career. He’s dedicated to the integration of security practices into software development, working to create a security-aware culture within organizations and imparting security best practices to the team.
In his role, Jeevan handles a range of tasks, from architecting security solutions to collaborating with Engineering Leadership to address security vulnerabilities at scale and embed security into the fabric of the organization.
James Berthoty has over ten years of experience across product and security domains. He founded Latio Tech to help companies find the right security tools for their needs without vendor bias.
Chris Romeo is a leading voice and thinker in application security, threat modeling, and security champions and the CEO of Devici and General Partner at Kerr Ventures. Chris hosts the award-winning “Application Security Podcast,” “The Security Table,” and “The Threat Modeling Podcast” and is a highly rated industry speaker and trainer, featured at the RSA Conference, the AppSec Village @ DefCon, OWASP Global AppSec, ISC2 Security Congress, InfoSec World and All Day DevOps. Chris founded Security Journey, a security education company, leading to an exit in 2022. Chris was the Chief Security Advocate at Cisco, spreading security knowledge through education and champion programs. Chris has twenty-six years of security experience, holding positions across the gamut, including application security, security engineering, incident response, and various Executive roles. Chris holds the CISSP and CSSLP certifications.
Jim Manico is the founder of Manicode Security, where he trains software developers on secure coding and security engineering. Jim is also the founder of Brakeman Security, Inc. and an investor/advisor for Signal Sciences. He is the author of Iron-Clad Java: Building Secure Web Applications (McGraw-Hill), a frequent speaker on secure software practices, and a member of the JavaOne Rockstar speaker community. Jim is also a volunteer for and former board member of the OWASP foundation.
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