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Ananya-0306/README.md
$ whoami
> ananya_chatterjee.exe

$ cat role.txt
> Security Engineer // AppSec · IAM Governance · AI Red Teaming

$ status
> [ONLINE] currently breaking LLM agents for fun and CVEs
Typing SVG

LinkedIn Hashnode GitHub followers


🛰️ root@ananya:~$ about

+ 5 years deep in AppSec, IAM governance, and DevSecOps
+ Now hunting vulnerabilities in things that talk back: LLMs and AI agents
+ Currently building open-source tooling to make AI attack surfaces visible
- Not interested in "the model is a black box" as an acceptable answer

I break things that talk in natural language for a living — prompt injection, leaky RAG pipelines, agents with way too much tool access. By day: IAM reviews, access governance, compliance automation. By night: making AI applications confess their architecture.


⚔️ Featured build

LLM Attack Surface Mapper

Most AI security tools fuzz the chat box and call it a day. LLMASM goes after the architecture hiding behind it — hidden RAG proxies, leaked system prompts, agent tool chains nobody documented, shadow APIs that never made it into the docs.

pip install llmasm-ananya
llmasm

🧩 AST agent-graph mapping  •  🕵️ shadow API fuzzing  •  ⚖️ LLM-as-a-judge verification  •  🔁 native SARIF for CI/CD

Repo Stars

🎯 Built for authorized testing and AI security research — point it at your own stack, not someone else's.


🧰 root@ananya:~$ loadout

security & grc OWASP ISO27001 PCI DSS SOC 2 NIST Zero Trust CVSS

identity & auth IAM OIDC SAML RBAC

cloud & infra AWS Azure AD Kubernetes OpenShift Docker Terraform

vapt & testing Burp Suite Metasploit Nmap OWASP ZAP Nexpose

siem & monitoring Splunk QRadar

automation & code Python Bash REST APIs n8n Linux GitHub


📡 root@ananya:~$ stats


$ tail -f intentions.log
[+] mapping AI attack surfaces
[+] writing it up on Hashnode
[+] always down to talk red teaming, IAM, or both
[+] connect ↑ — DMs open

⭐ if you've made it this far, go star llmasm — it remembers

Pinned Loading

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    This is the New Jarvis AI Project it will do some functionality followed by user query.

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    LLM Attack Surface Mapper for AI Security Testing

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