20%
AI-accelerated exploitation
Exploited vulnerabilities were the entry point in 20% of breaches, up 34% year over year.
Verizon 2025 Data Breach Investigations Report
AI-powered offensive security
Attackers have AI now. Find your vulnerabilities before they do.
Aegent pairs autonomous AI agents with senior security engineers to test your apps, APIs, cloud and LLM features continuously. Every finding is validated by a human, proven with a working exploit, and ranked by what it would cost you.
30-minute scoping call with a senior engineer. NDA available before we talk.
- recon: 1,284 endpoints discovered
- auth matrix: 6 roles mapped
- testing /api/v2/invoices
- IDOR candidate: tenant_id not enforced
- human review: confirmed by senior engineer
- CRITICAL 9.6 · proof of concept attached
- Critical9.6Cross-tenant data access via IDOR in /api/v2/invoicesExploit verified
- High8.1Indirect prompt injection in support copilot exfiltrates ticket historyExploit verified
- High7.5Agent tool send_email callable without user confirmationFix in review
- Medium5.3Public S3 bucket exposes build artifacts with embedded keysRemediated
Testing methodology and reports mapped to
- OWASP Top 10
- OWASP API Security Top 10
- OWASP Top 10 for LLM Apps
- MITRE ATT&CK
- MITRE ATLAS
- NIST AI RMF
- NIST CSF 2.0
- SOC 2
- ISO/IEC 27001
- PTES
- CWE Top 25
We map findings to these frameworks. Aegent does not claim certification by these bodies.
The threat model changed
Your code ships weekly. Your pentest happens once a year.
Attackers now point AI at public code, exposed APIs and new CVEs to find a working exploit in hours. Meanwhile most teams test once a year and ship hundreds of changes in between. Every new endpoint, dependency and AI feature goes live untested.
DeploysAnnual pentestUntested window
LLM01
AI features open new doors
Prompt injection, data leakage through models and over-permissioned agents are now OWASP's top risks for LLM applications. Traditional scanners weren't built to test them.
OWASP Top 10 for LLM Applications 2025
+$670K
Ungoverned AI raises the bill
Breaches at organizations with high levels of shadow AI cost an average of $670,000 more.
IBM Cost of a Data Breach Report 2025
The gap between your last test and your next release is where breaches start. See how Aegent closes it
From first scan to fixed in four steps.
Onboarding takes one call and read-only access. Our agents start the same week.
- 01Assess
Deep initial assessment
We map your attack surface, then AI agents and senior engineers attack it: apps, APIs, cloud, CI/CD, dependencies and AI features. You get a full report in 2–3 weeks.
- 02Monitor
Continuous testing
Agents retest every new deploy, endpoint and published CVE that touches your stack. Humans review anything that looks exploitable.
- 03Report
Weekly or monthly reports
Engineer-ready tickets with proof of concept and fix guidance, plus an executive summary and framework mapping you can forward to your board or auditor. Criticals reach you within 24 hours.
- 04RemediateOptional
We fix it, then prove it
Our engineers open pull requests against your repos, or pair with your team. Every fix is retested and closed in the next report.
Continuous cycle: Remediate → Monitor
Everything an attacker can reach. Including your AI.
We test the way attackers move: from an exposed asset to a foothold to your data.
llm
AI & LLM applications
- Direct and indirect prompt injection (documents, emails, web pages, tool outputs)
- Jailbreaks and system prompt extraction
- Sensitive data exfiltration through model responses and RAG retrieval
- Agent and tool abuse: excessive permissions, unconfirmed actions, MCP server risks
- Training data and model theft, embedding inversion
- Insecure output handling leading to XSS, SSRF or code execution
- Denial of wallet: token and cost exhaustion
Mapped to OWASP Top 10 for LLM Applications and MITRE ATLAS.
webWeb applications
- Authentication and session flaws
- Broken access control and IDOR
- Injection: SQL, NoSQL, command, template
- Business logic abuse
- Multi-tenant isolation
apiAPIs
- REST, GraphQL, gRPC and webhooks
- Broken object and function level authorization
- Mass assignment
- Rate limiting and enumeration
- Shadow and deprecated endpoints
cloudCloud & infrastructure
- AWS, GCP and Azure misconfigurations
- IAM privilege escalation paths
- Exposed storage, databases and secrets
- Kubernetes and container security
- External network perimeter
supplySupply chain
- Vulnerable and malicious dependencies
- CI/CD pipeline and build secrets
- Third-party SaaS integrations and OAuth scopes
- SBOM review
- Model and dataset provenance
codeCode & identity
- Secure code review of critical paths
- Secrets in repos and history
- SSO, MFA and admin exposure
- Mobile app backends
See exactly what lands in your inbox.
A redacted report from a real-format engagement against our own test environment. Same structure, same depth.
Aegent
AGT-2026-1031 · v1.2Security assessment report
Executive summary
Two critical paths allow an unauthenticated attacker to read other tenants’ invoices and to make the support copilot leak ticket history. Both have working exploits and fixes in review.
Findings
- 9.6Cross-tenant data access via IDOR in /api/v2/invoicesExploit verified
- 8.1Indirect prompt injection in support copilot exfiltrates ticket historyExploit verified
- 7.5Agent tool send_email callable without user confirmationFix in review
- 5.3Public S3 bucket exposes build artifacts with embedded keysRemediated
3New
1Fixed
3Open
9.6AGT-0412Cross-tenant data access via IDOR in /api/v2/invoices
Proof of concept
GET /api/v2/invoices/88213
Authorization: Bearer <tenant_A>
HTTP/1.1 200 OK
{"tenant_id":"t_B","total":48120}Recommended fix
- inv = Invoice.find(id)
+ inv = Invoice.where(
+ tenant_id: ctx.tenant).find(id)Controls
SOC 2 CC6.1ISO 27001 A.8.3OWASP API1:2023CWE-639
- Executive summary: risk in one page, written for your board.
- Every finding has a reproducible proof of concept.
- Severity by CVSS plus business impact, so you fix what matters first.
- Fix guidance with code your engineers can paste.
- Mapped to SOC 2, ISO 27001, OWASP and NIST AI RMF controls.
- Trend view: what's new, what's fixed, what's still open.
PDF, 24 pages. Work email only. We don’t share it.
Available in English and Spanish.
AI agents for speed. Senior engineers for judgment.
Attackers use AI to try thousands of paths. So do we. Then a human with offensive security experience decides what is real, chains it into an impact you can understand, and signs off on the report.
Agents
- Map every asset and endpoint, every day
- Fuzz inputs and auth flows at scale
- Run thousands of prompt injection and jailbreak variants
- Retest on every deploy and new CVE
Experts
- Validate every finding and kill false positives
- Chain low-severity issues into real attack paths
- Test business logic that tools can't read
- Write the fix and explain the risk to your leadership
Validated by M.R., Senior Security Engineer
Rules of engagement
- Written rules of engagement before any test
- Staging first, production only with your approval and in agreed windows
- Rate limits and a kill switch you control
- Least-privilege, time-bound credentials
- No destructive payloads, no data kept beyond the engagement
| Automated scanner | Annual pentest | Aegent | |
|---|---|---|---|
| Frequency | Continuous | Once a year | Continuous + deep assessment |
| Findings validated by a human | No | Yes | Yes, every one |
| Proof of concept | Rarely | Usually | Always |
| Business logic and chained attacks | No | Yes | Yes |
| AI/LLM red teaming | Limited | Sometimes, extra cost | Included |
| Fixes the issues | No | No | Optional |
| Reports | Dashboard noise | One PDF | Weekly or monthly |
Commitments we put in the contract.
- 24hCritical findings reported within 24 hours of validation
- 100%of reported findings validated by a senior engineer, with a proof of concept
- 5 daysfrom signed scope to agents running
- 60 daysfree retest window after your assessment
20% of breaches began with an exploited vulnerability, up 34% in a year.
Breaches at organizations with high shadow AI cost $670K more on average.
We hold ourselves to the standard we test you against.
How we protect your data
- Your code and data never train any model, ours or a vendor's
- Encrypted in transit and at rest, in isolated per-client environments
- Findings shared only through encrypted channels and your own tools
- Data deleted at the end of the engagement, with written confirmation
- Mutual NDA before scoping; DPA available
Frameworks we map to
Every report maps findings to the controls your auditors and customers ask about.
- SOC 2 (Trust Services Criteria)
- ISO/IEC 27001:2022 Annex A
- OWASP Top 10, API Top 10, LLM Top 10
- NIST AI RMF 1.0
- NIST CSF 2.0
- MITRE ATT&CK and ATLAS
- PCI DSS 4.0 (on request)
- EU AI Act, NIS2 and DORA risk areas (on request)
- LATAM regulations on request
Alignment, not certification. We help you produce evidence; your auditor issues the attestation.
Who's behind Aegent
Aegent is a business unit of Toptive LLC, an engineering firm that has built and run production software for clients across the Americas. Our security team is senior, bilingual and works in your time zone.
Clear scope. Fixed price. No surprise invoices.
Every engagement starts with a free scoping call and a written quote within 2 business days.
Assess
One deep assessment. A report you can act on and show.
From$9,500one-time
Best for A deep baseline before an audit, a fundraise or an enterprise deal
Includes
- Attack surface discovery across domains, apps, APIs and cloud accounts
- Manual + AI-driven pentest of your top-priority applications
- AI/LLM red team of production AI features
- Full report: executive summary, validated findings, PoCs, fix guidance
- Readout call with your engineering and leadership teams
- One free retest of fixed findings within 60 days
Continuous
Your attack surface, tested every week.
From$3,900/ month
Best for Teams shipping weekly who need coverage between releases
Includes
- Everything in Assess, to start
- Continuous AI agent testing on every deploy and new CVE
- Weekly or monthly reports, your choice
- Critical findings reported within 24 hours
- Named security lead and shared Slack or Teams channel
- Quarterly executive briefing and audit-ready evidence pack
Remediate
The team that found it fixes it.
From$150/ hour
Best for Teams without spare engineers to fix findings
Includes
- Pull requests against your repos, reviewed by your team
- Cloud and IAM hardening, secrets rotation, dependency upgrades
- Guardrails for LLM features: input/output filtering, tool permissions, eval suites
- Retest and closure evidence for every fix
Continuous plans are billed monthly with a 3-month minimum, then cancel with 30 days notice. Annual plans include the initial assessment at no extra cost. Prices in USD; local currency invoicing available in Mexico, Colombia, Chile, Argentina and Spain.
Questions security teams ask us
Is it safe to let AI agents test our systems?
Yes, within written rules of engagement. We start in staging, test production only in windows you approve, cap request rates, and give you a kill switch. Agents never run destructive payloads, and a senior engineer supervises every engagement.
How is this different from a vulnerability scanner?
Scanners match known signatures and leave you to sort the results. Our agents explore your app the way an attacker would, and a human validates each finding with a working exploit before it reaches you. You get fewer, real findings, ranked by business impact.
We already do an annual pentest. Why add this?
An annual pentest is a snapshot. Continuous testing covers the months in between, when most of your code changes. You can keep your annual pentest for compliance and use Aegent for everything else; we're happy to share findings with your pentest firm.
Can you test our chatbot, copilot or AI agents?
Yes. AI red teaming is part of every tier. We test for prompt injection (direct and through documents, emails and tool outputs), jailbreaks, data leakage through responses and RAG, agent tool abuse and cost exhaustion, mapped to the OWASP Top 10 for LLM Applications.
What happens to our code and data?
It stays in an isolated, encrypted environment, is never used to train any model, and is deleted when the engagement ends. We sign an NDA before scoping and a DPA on request.
Will the report help with SOC 2, ISO 27001 or customer security questionnaires?
Yes. Each finding is mapped to SOC 2, ISO 27001, OWASP and NIST controls, and we provide a summary letter you can share with customers. We don't certify you; your auditor does. Our report gives them the evidence.
What do you need from us to start?
A 30-minute scoping call, a list of in-scope assets, test accounts for each user role, and (optionally) read-only access to your code and cloud. Agents start within 5 business days of a signed scope.
Do you fix the vulnerabilities, or only report them?
Both, if you want. Remediation is an optional add-on: our engineers open pull requests in your repos, harden your cloud and add guardrails to AI features, then retest every fix.
Do you work with companies outside the US?
Yes. We work across the US, Latin America and Spain, in English and Spanish, and deliver reports in either language. We can map findings to local regulations on request.
What if you find something critical?
You hear from us within 24 hours of validation, by phone and your shared channel, with the proof of concept and an immediate mitigation. We don't wait for the scheduled report.
Someone is already scanning you. Make sure it's us first.
Book a 30-minute call with a senior security engineer. We'll review your attack surface, tell you where we'd start, and send a written scope within 2 business days.
No cost for the scoping call. NDA on request. Reply in English or Spanish.