We break what
others trust.
agent::offense is an offensive security team attacking the full modern stack — web, API, cloud, infrastructure and the emerging attack surface of autonomous AI agents. We find the exploit path before a real adversary does.
services
Every service is delivered adversary-first: manual, exploit-driven testing backed by reproducible proof and clear remediation — not a template scanner report.
Web Application Penetration Testing
Manual web application penetration testing against the OWASP Top 10 and business-logic flaws. Exploit-driven testing with reproducible PoCs…
- Broken access control & IDOR
- SQL, NoSQL & command injection
- Authentication & session management flaws
API Penetration Testing
REST and GraphQL API penetration testing against the OWASP API Top 10 — BOLA, BFLA, mass assignment, auth…
- Broken object-level authorization (BOLA)
- Broken function-level authorization (BFLA)
- Mass assignment & excessive data exposure
Mobile Application Penetration Testing
iOS and Android mobile application penetration testing — static and dynamic analysis, runtime instrumentation, secret extraction and API…
- Hardcoded secrets, keys & token extraction
- Insecure local & keychain storage
- Certificate-pinning & root/jailbreak bypass
External Network Penetration Testing
External network penetration testing of your internet-facing perimeter — exposed services, misconfigurations and exploitable hosts, tested from an…
- Attack-surface & service enumeration
- Exposed admin panels & default credentials
- Exploitable service vulnerabilities
AWS Penetration Testing
AWS penetration testing — IAM privilege escalation, S3 and storage exposure, SSRF-to-metadata, and misconfiguration review mapped to attacker…
- IAM privilege escalation paths
- S3 and storage exposure
- SSRF-to-instance-metadata (IMDS) abuse
Kubernetes Penetration Testing
Kubernetes penetration testing — container escape, RBAC misconfiguration, exposed control plane, and pod-to-cluster-admin escalation across your clusters.
- Container escape & privileged pods
- RBAC & service-account misconfiguration
- Exposed API server, etcd & kubelet
Red Team Operations
Full-scope red team operations — stealthy, objective-driven attack simulation across digital, human and physical vectors to test detection…
- Objective-based full kill-chain attack
- Initial access via phishing & exposure
- Command-and-control & evasion
Active Directory Penetration Testing
Active Directory penetration testing — Kerberos attacks, delegation abuse, ACL and privilege-escalation paths to domain admin, with concrete…
- Kerberoasting & AS-REP roasting
- Unconstrained & constrained delegation abuse
- ACL and object-permission escalation
AI Agent Penetration Testing
Penetration testing for autonomous AI agents — tool-use abuse, goal hijacking, privilege escalation and sandbox escape across agentic…
- Tool-use & function-calling abuse
- Goal hijacking & instruction override
- Privilege escalation through agent tools
Prompt Injection Testing
Prompt injection testing — direct and indirect injection across every untrusted input path, including RAG and tool outputs,…
- Direct prompt injection
- Indirect injection via RAG & documents
- Tool-output & web-content injection
MCP Server & Tool-Chain Security Testing
MCP server security testing — tool schema tampering, confused-deputy paths, credential-scope leakage and abuse of Model Context Protocol…
- MCP server & tool abuse
- Tool schema tampering & poisoning
- Confused-deputy & privilege paths
engagement flow
A disciplined, repeatable methodology from first recon to retest.
Scope & Recon
Define rules of engagement, map the full attack surface and set objectives.
Exploit
Manual, chained exploitation to prove real impact — not theoretical findings.
Report
Reproducible PoCs, severity calibration and prioritized, actionable fixes.
Retest
Verify remediation and confirm the attack path is genuinely closed.
why ai-agent security
Autonomous agents act with real permissions, call real tools and read untrusted data. That is a new, high-value attack surface most testing programs do not cover.
agents_execute
An LLM agent that can browse, run tools or move funds becomes an insider the moment it ingests attacker-controlled text. We test that boundary end to end.
trust_is_implicit
RAG stores, MCP servers and plugins are trusted by default. We treat every one of them as hostile input and prove where that assumption breaks.
./request_engagement
Ready to see your systems the way an attacker does? Scope a pentest of your application, infrastructure or AI agents today.
Get in touch