AI Attack Surface Management

AI ships at the speed of your engineers. Your security doesn’t.

That gap is where the next breach lives. Foundation Zero continuously discovers every AI feature your team has shipped on your web properties, tests each one for prompt injection, data exposure, and tool abuse, and routes owner-attributed fixes to the engineer who built it. Always on. Always inventoried. Priced to keep running.

Request design partner access → See how it works
Built for engineering and
security teams shipping
AI faster than they
can inventory it.
- 01

The attack surface changed. Most tooling hasn’t.

The companies getting burned right now aren’t the ones ignoring security. They’re the ones whose tooling was built for a stack that predates LLMs. Every AI feature your team ships is a new class of attack surface: one that responds to natural language, can be coerced into leaking its own instructions, and can be tricked into using your tools, your credentials, and your customer data against you. Your WAF doesn’t parse it. Your SIEM doesn’t log it. Your DLP can’t fingerprint it. Nothing in your current stack was built to look for it.

Sales
spun up a chatbot on Replit last week.
Marketing
shipped an AI sales demo built in Lovable.
CS
deployed a Voiceflow bot, never told anyone.

Your EASM finds the subdomain. Your SaaS posture tool flags employees using ChatGPT. Nothing finds the AI feature your own team deployed on your own domain, on your own brand, with your own customer data flowing through it. Not until it leaks data, gets prompt-injected in the wild, or shows up in a researcher’s disclosure email.

Foundation Zero finds it, tests it, and routes the fix. Continuously.

- 02

A discovery, testing, and triage loop built for AI surfaces.

- DISCOVERY

See what was deployed.

Continuous crawl of your domains. AI feature fingerprinting across 20+ build platforms: Replit, Vercel, Lovable, Voiceflow, Botpress, custom stacks.

fingerprint // platform
extract // owner_signal
classify // ai_surface_type
- TEST

Probe it the way an attacker would.

Automated prompt injection, system-prompt extraction, jailbreak susceptibility, PII leakage, tool/function enumeration on agentic surfaces.

probe // injection_suite
probe // leak_detection
score // owasp_llm_top10
- TRIAGE

Route to whoever shipped it.

Owner attribution from repo, deployment, or DNS history. Severity-scored findings. Platform-specific remediation guidance. One console, one queue.

attribute // owner
prioritize // severity
remediate // guidance
- 03

Productized by red team operators.

We're red team operators, not analysts. The team behind Foundation Zero runs full-scope adversary emulation against production systems as their day job. They find paths to impact, not just lists of CVEs. That's the only reason the tooling stays sharp. Every new attack pattern surfaced in a live engagement becomes an automated test in your console within days.

The platform stands alone. When you want humans in the loop, three optional paths are scoped from the console in one click. Your choice, your finding, your call.
Public Acknowledgments
Apple Security · credited
Google VRP · credited
Microsoft MSRC · credited
Mozilla · credited
+ 12 more
Research Output
120+ CVEs disclosed
20-year combined experience across web, mobile, infrastructure, and AI system testing.
Red Team Operations
Active · ongoing engagements
Live adversary emulation work feeds the platform's test library on a published cadence. New attack patterns ship to your console within days.
- 04

After the platform delivers, you choose what's next.

Platform finding
- Default action · in-platform · included

Fix it in the console.

Every finding ships with platform-tuned remediation: system-prompt patches, guardrail snippets, owner attribution, automatic re-test on apply. The full loop closes here. No human engagement required.

When the in-console fix isn't enough
- Pentest

Validate the finding. →

Human-led deep-dive on the specific finding or asset. Time-boxed, scoped, technical. When you need an operator to confirm exploitability and produce a report.

Tactical · point-in-time
- Red Team

Emulate the adversary. →

Goal-driven exercise across people, process, and technology. Tests detection and response capability, not just whether the vulnerability exists.

Strategic · executive-level
- Enablement

Train the builders. →

Behavior-change curriculum for the teams adopting and shipping AI. Tuned to your stack and your existing adoption programs. Stop creating the findings in the first place.

Preventative · annual
- 05

One scan, one price, one conversation.

- Free
$0
One scan · ever
  • Full discovery across your brand
  • All findings with severity scoring
  • Remediation summaries: what to fix, conceptually
  • No executable artifacts, no rescan, no monitoring

See what you have. Fix what's broken on your own. Come back when you want it managed.

- Pro
$299/m
Monthly · findings communicated to the team that shipped them
  • Monthly scheduled scans
  • Full remediation with patches, snippets, owner routing
  • Re-test on apply, continuous status
  • Slack / Linear / Jira routing
  • HMAC-signed probes · auditable scan logs
  • One-click escalation to pentest, red team, or enablement

Loose asset classification. Above limits → a conversation, not a surprise invoice.

- Scale
$799/m
Static analysis · faster cadence
  • Everything in Pro
  • 1 static-analysis integration included (OSS engine)
  • Optional bi-monthly scan cadence
  • Add-on integrations, priced per connector
  • Owner attribution from commit history

Static analysis requires dedicated infrastructure. The commitment tier.

- Custom
Talk
Multi-brand · regulated · scale
  • Multi-workspace org structure
  • Continuous / change-triggered scan cadence
  • Additional static-analysis connections
  • SSO, audit logs, custom compliance lift
  • Direct line to the operators behind the platform

For organizations with depth that doesn't fit on a sticker.

- Additional static-analysis connections priced per integration. Variable third-party costs (e.g., A/V scanning where applicable) pass through transparently.
- 06

How we handle your data.

Data residency US AWS infrastructure. Customer data does not leave US-region storage. No data egress to research environments.
Research access Engagement-scoped, audit-logged, time-bound. No persistent access to customer environments.
Traffic attribution All probes carry HMAC-signed identifiers: HTTP headers, prompt-injection trailing tokens, workspace/job IDs. SOC teams can verify, whitelist, and audit Foundation Zero activity in their own logs with cryptographic certainty.

Procurement, security, or legal questions? Email trust@foundationzero.com. Typical response within one business day.

- 07

Find the AI already live on your web properties.

Start with a scoped discovery scan across domains you own. We'll map AI surfaces, validate the risk, and show the findings that need a fix, a retest, or a deeper human-led review.

Request a scan →
/Scoped to your owned domains only
/Read-only at discovery; testing on opt-in per asset
/Founder-led onboarding, no SDRs