Autonomous AI Security Engineer
Abstract translucent attack path with connected security nodes

Find the attack path.
Fix it before attackers do.

AIGuardix investigates risk across cloud, code, identity, applications, APIs, and infrastructure—connecting isolated findings into evidence-backed attack paths and helping teams eliminate them.

01Discover
02Investigate
03Correlate
04Prioritize
05Remediate
06Verify

The difference

Alerts are isolated.
Attackers connect them.

Traditional tools show a vulnerability, a public workload, an overprivileged role, and a sensitive bucket as four separate findings.

AIGuardix explains how they combine into a realistic route from the internet to customer data—and what to fix first.

Traditional workflow

Scanner → Finding → Alert

Critical vulnerabilitySeparate finding
Public workloadSeparate finding
Overprivileged IAM roleSeparate finding
Sensitive S3 bucketSeparate finding

AIGuardix

Signal → Evidence → Attack path

InternetEntry point
payments-apiPublic workload
CVE-2026-1842Exploitable
runtime-rolePrivileged identity
customer-dataSensitive target
Business impact identified

Customer data exposure is possible from a public entry point.

One continuous loop

From signal to verified remediation.

AIGuardix operates like an autonomous member of your security engineering team—continuously gathering context, reasoning across your environment, and closing the loop.

Autonomous investigation01 / 05

Investigate, don’t just alert.

Collect infrastructure, code, identity, network, and business context automatically.

Investigation / INV-1042Complete
09:32Asset context collected
09:33Runtime workload mapped
09:34Identity permissions calculated
09:35Sensitive target confirmed
Attack path analysis02 / 05

Connect the full path.

Trace the route from entry point to meaningful business impact with evidence at every hop.

InternetEntry point
payments-apiPublic workload
CVE-2026-1842Exploitable
runtime-rolePrivileged identity
customer-dataSensitive target
Risk prioritization03 / 05

Prioritize what attackers can reach.

Combine exploitability, exposure, identity privilege, asset sensitivity, and security controls.

Contextual risk · Live

Internet-to-data path

Immediate remediation recommended.

94/100
Exploitability96
Reachability100
Identity privilege88
Asset sensitivity92
Autonomous remediation04 / 05

Generate the fix. Keep humans in control.

Prepare code, cloud, IAM, and configuration fixes with impact analysis and approval gates.

Remediation / IAMApproval ready

Scope S3 permissions checkout-runtime-role

- "Resource": "*"
+ "Resource": "arn:aws:s3:::customer-data-prod/payments/*"
Verification05 / 05

Prove the path is removed.

Recalculate reachability after deployment and verify that the vulnerability is truly resolved.

Attack path removed

Reachability and permissions recalculated successfully.

940

The AI security platform

Security work that moves at engineering speed.

Give every security and engineering team the same evidence, attack path, remediation plan, and verified outcome.

Cloud security

Deep AWS visibility across infrastructure, identities, networks, workloads, controls, and data.

Application security

Connect source code, dependencies, secrets, APIs, containers, and IaC to runtime impact.

Identity security

Calculate effective permissions, trust relationships, privilege escalation, and blast radius.

Security graph

Maintain a living relationship model across resources, findings, identities, owners, and risk.

Connect your security environment

Connect the context.
Keep your tools.

AIGuardix brings security signal and operational context together without forcing teams into a new stack.

AWS
GitHub
GitLab
Bitbucket
Kubernetes
Terraform
Docker
Security Hub
GuardDuty
Inspector
AWS Config
Slack

Security & trust

Autonomy with clear boundaries.

Least-privilege access, scoped integrations, human approvals, and complete audit history keep every AI action understandable and controlled.

Explore security & trust

Scoped access

Connect only the accounts, repositories, and resources you choose.

Human approval

Require review before sensitive production, IAM, or code changes.

Complete auditability

See every AI and user action with evidence, policy, and result.

Tenant isolation

Keep customer environments and credentials logically separated.

Outcomes, scaled to your environment

From findings to verified security outcomes.

Pricing is based on the cloud, code, investigation, and governance scope your team needs. No invented per-asset math.

Find the path

Connect exposures, vulnerabilities, permissions, and sensitive targets.

Prioritize impact

Focus teams on reachable risk with meaningful business consequences.

Verify the outcome

Prove remediation removed the path—not just closed an alert.

Frequently asked

Answers, before you have to ask.

Still unsure? Book a working session with our team.

No. It uses security findings as signals, then investigates context across cloud, code, identity, networks, and data to determine realistic attack paths and business impact.

See your real attack paths

Turn security signals
into verified outcomes.

Bring one high-priority risk. We’ll show you how AIGuardix would investigate, connect, and remediate it.

Book a meeting