AI penetration testing. Proof, not promises.
Traditional pentests take weeks and deliver a PDF. SureHunt deploys autonomous AI agents that find vulnerabilities, generate proof-of-concept exploits, and deliver actionable results in hours. Every finding comes with evidence, not just a severity label.
Why Annual Pentesting Is Not Enough?
Traditional penetration testing was designed for a slower release cycle. Today, infrastructure changes daily new deployments, new permissions, new services. A point-in-time test becomes outdated the moment your next release ships.
Manual pentests take weeks to schedule, execute, and deliver. By the time you receive a static PDF report, your attack surface has already evolved. Most teams can only afford one or two tests per year leaving long gaps where exploitable paths go unvalidated.
Without continuous validation, you’re relying on assumptions instead of evidence. Modern security requires ongoing attack simulation, real proof-of-exploit findings, and prioritization based on real risk not just theoretical vulnerabilities.
Think like an attacker. Move like a machine.
Continuous Attack Validation Engine
AI-driven pentesting that continuously discovers, maps, and validates real attack paths across your live environment. Every finding is proven — not theoretical.
Continuous AI Pentesting
Autonomous AI agents continuously simulate real-world attacks across your live environment. Tests run safely in production, validating exposure as your infrastructure changes.
Dynamic Attack Surface Discovery
Automatically discover internet-facing assets, shadow services, and internal pivot points. SureHunt maps your real attack surface — not just what’s documented.
Validated Attack Graphs
Build real-time attack graphs showing chained vulnerabilities and lateral movement paths. See exactly how an attacker could move from initial access to critical assets.
Safe Proof-of-Exploit Validation
Every finding includes validated proof-of-exploit evidence. Exploits are executed safely with guardrails to avoid disruption while proving real impact.
Risk-Based Prioritization
Findings are ranked by exploitability, blast radius, asset sensitivity, and business context — so your team fixes what actually reduces risk.
CI/CD & Workflow Integration
Trigger pentests on pull requests, releases, or schedule. Automatically push findings into Jira, Slack, or your ticketing system to close the loop between detection and remediation.
Pentesting that keeps pace with your releases
Average Pentest Time
PoC Evidence Rate
Continuous Monitoring
Downtime Caused
Pentest on every deploy
Integrate SureHunt into your CI/CD pipeline. Trigger scans on every pull request, gate merges on security findings, and get results before code reaches production.
REST API
Launch scans, query findings, and manage targets programmatically
GitHub Actions
Pre-built action to trigger SureHunt scans on PR and deploy events
Webhooks
Real-time callbacks when scans complete or critical findings emerge
1import suregrid23client = suregrid.Client(api_key="sg_live_...")45# Launch an AI pentest6scan = client.surehunt.create_scan(7 target="app.example.com",8 scope="full",9 notify_webhook="https://hooks.example.com/scan"10)1112print(f"Scan ID: {scan.id}")13print(f"Status: {scan.status}")1415# Wait for results16results = client.surehunt.get_findings(scan_id=scan.id)17for finding in results:18 print(f" [{finding.severity}] {finding.title}")19 print(f" PoC: {finding.poc_url}")Find what attackers would find
Deploy SureHunt against your environment and get proof-of-concept results in hours. No scheduling, no scoping calls, no waiting for a PDF three weeks later.
<4hrs
First results delivered
100%
Findings with PoC evidence
Non-destructive
Safe for production