Find what everyone else missed
Apex investigates like an attacker, tracing subtle logic flaws and chained exploits through code and running systems that scanners and even expert reviews have already cleared.
Offensive agent · recorded attack trace
Minting signed sessions for a stranger
Every node is a step Apex actually took, the doors it tried, the one that held, and the one that gave way. Click any node to follow the path.
De-identified. Hosts, endpoints, identifiers, live tokens, and secrets are removed and replaced with neutral placeholders. The attack mechanism is reproduced in full; nothing here identifies the assessed system.
The findings other tools left behind
Real exploit chains uncovered in production code, then triaged, fixed, and verified.
Traditional AppSec vs. Apex
Scanners flag patterns. Apex proves the exploit
Apex follows the attack path across files, services, identities, and runtime behavior to expose the subtle, chained vulnerabilities that pattern matching misses. Then it writes the fix and verifies it.
Explore six representative examples.
Traditional
A scanner flags a pattern that might be vulnerable.
Apex
Apex traces a real attack path through the codebase.
Traditional
Your team investigates every finding without production context.
Apex
Apex determines what is reachable, relevant, and exploitable.
Traditional
Security asks engineering to reproduce and prove the issue.
Apex
Apex builds the proof of concept and validates the impact.
Traditional
Another ticket enters an already crowded backlog.
Apex
Apex writes the fix and opens a pull request.
Traditional
Engineering has to interpret guidance and ship the remediation.
Apex
Apex delivers a tested patch that is ready to review.
Traditional
A re-scan starts the same cycle all over again.
Apex
Apex verifies the remediation and closes the loop.
One workflow, whatever the starting point
Whether Apex starts with a repository, a pull request, a running application, or an existing finding, it follows the same path: investigate in context, prove what's exploitable, generate the fix, and verify the result.
- 01
Start
Start with a repository, pull request, running application, or an existing finding from Apex or another tool.
- 02
Investigate
Apex analyzes the relevant code and connected systems to understand how an attacker could reach the issue.
- 03
Prove
It validates reachability, attacker-controlled input, and real impact, or explains why the issue isn't exploitable.
- 04
Fix
Based on your policy, Apex generates the remediation, opens the pull request, or routes for human review.
- 05
Verify
Apex retests the change and records evidence that the issue has been resolved.
One control plane for application security
Apex brings code, dependencies, cloud, APIs, secrets, running applications, and AI systems into one place. Instead of stitching together disconnected scanner output, your team works from a single system that surfaces verified vulnerabilities and drives them to resolution.
Prove exploitability
Trace attacker reachability and real impact instead of escalating every theoretical issue.
Close the loop
Generate the remediation, open a pull request where configured, and verify the fix.
One workflow across your attack surface
Apply the same reasoning and policies across code, dependencies, cloud, APIs, AI systems, and runtime.
Keep control
Choose your autonomy level, require approval for consequential actions, and keep every decision logged and attributable.
What Apex covers
The security surface Apex understands, across your code and the systems around it.
Context-aware source review
Security review that catches logic flaws, auth bypasses, and injection paths that scanners miss, fast enough to keep up with AI-accelerated development.
- Logic flaws
- Auth bypasses
- Injection paths
Dependency & supply-chain security
Apex identifies the vulnerable symbol from an advisory and traces the call graph to prove whether it's actually reachable, turning a wall of CVE noise into the handful that matter, then opening the version-bump PR.
- Reachable symbols
- Call-graph tracing
- Version-bump PRs
Secret detection & response
Apex finds leaked secrets, tests (read-only) whether they're still live, scopes how far back in git history they reach, then drives revoke, rotate, and purge, and adds pre-commit / CI scanning so it can't recur.
- Live-credential checks
- Git-history scope
- Revoke · rotate · purge
Cloud security
Misconfiguration is the most common AppSec failure mode. Apex surfaces public buckets, over-permissive IAM, and cloud exposure, graded by real data sensitivity and actual usage, before it becomes an incident.
- Public buckets
- Over-permissive IAM
- Sensitivity-graded
AI and agent security
Finds vulnerabilities across the model interfaces, APIs, and agent surfaces you're shipping, covering the new attack surface most tooling ignores.
- Model interfaces
- Agent surfaces
- Tool & API abuse
How you can use Apex
Apex meets your code at every stage, from a first look to an outside-in attack. Match the mode to the moment.
White-box source review
A full, context-aware pass over a repository, reasoning across your whole codebase about architecture, trust boundaries, and attacker paths.
Audit scan
A deeper, higher-budget pass with broader hunting and stricter validation for high-risk, trust-boundary-heavy codebases.
PR scan
Catches vulnerabilities in changed code before it merges, reviews the diff in CI and posts checks and comments on the pull request.
Fix review
Ship a fix and let Apex confirm it, retests the original finding against your patch and flags anything the fix may have introduced.
Lite scan
A fast, low-cost pass between deeper reviews, so nothing goes unchecked while you wait on a full audit.
Black-box testing
Attacker's-eye testing of your running web app, real browser and session state to find ATO, IDOR, privilege escalation, and exposed data.
Penetration testing
Expert-led offensive engagements across web, mobile, APIs, and AI systems, backed by proof and a report you can hand to auditors.
CLI and MCP
Run Apex from your terminal, CI pipeline, or coding agent, kick off scans, pull findings, and export results without leaving your workflow.
Apex finds what humans and other tools miss
- coverage vs. human security reviews
- 0% coverage vs. human security reviews
- in breaches prevented
- $0B+ in breaches prevented
- of false positives eliminated
- 0% of false positives eliminated
- on the HackerOne leaderboard
- #0 on the HackerOne leaderboard
I was truly impressed by the subtle bugs that Cantina uncovered in an open-source cryptographic repository that I maintain, which had already gone through thorough reviews. Their AI-powered tool acts as a valuable safety net to catch bugs that humans and other tools may have missed.
Case studies
All case studies
Cantina case study: how Apex found a critical RCE bug in Spring AI
Read the story
Cantina case study: Apex finds 44-year-old bugs in OpenSSH
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Cantina case study: catching a 15-year-old dependency bug before attackers did
Read the storySecurity leaders keep asking for the same thing: a platform that helps security operate as a real partner to engineering, not just a team that sends vulnerability tickets. That's the job Apex was built to do.
Hand off your AppSec. For good
See how Apex reads your codebase, proves what's exploitable, and ships the fix, so your team can ship with confidence and stop thinking about application security.