Daily Threat Intel by CyberDudeBivash
Zero-days, exploit breakdowns, IOCs, detection rules & mitigation playbooks.Follow on LinkedInApps & Security Tools

CyberDudeBivash Pvt Ltd | AI Security Services

CYBERDUDEBIVASH AI Security Hardening Service

Secure your GenAI, LLM, RAG, agentic workflows, and enterprise copilots against prompt injection, data leakage, model abuse, insecure plugins/tools, and supply-chain risks — with a Zero-Trust, CISO-grade hardening approach.Official Hub: cyberdudebivash.com/apps-products

Intel & Articles: cyberbivash.blogspot.com

Company Blog: cyberdudebivash.com

Who This Service Is For

• Organizations deploying LLM chatbots, RAG search, internal copilots, or AI agents in production
• SaaS teams integrating AI features (summarization, ticket triage, code assistants, knowledge Q&A)
• Enterprises concerned about data leakage from third-party files and connectors
• Security teams building AI governance, controls, monitoring, and incident response playbooks

What We Protect You From

• Direct prompt injection: jailbreaks, instruction override, policy bypass attempts
• Indirect prompt injection: malicious content inside third-party files, webpages, PDFs, tickets, docs, email threads
• RAG data leakage: unauthorized retrieval, oversharing, cross-tenant data exposure, context bleed
• Agent/tool abuse: unsafe tool permissions, command execution, over-broad connectors, data exfil routes
• Model/behavior abuse: sensitive output generation, prompt-based social engineering, data reconstruction
• Supply chain risk: plugins, SDKs, vector DB integrations, prompt templates, model endpoints
• Logging & privacy: secrets in logs, PII leakage, unsafe telemetry pipelines

Deliverables (What You Get)

1. AI Threat Model: assets, trust boundaries, attack paths, abuse cases, and prioritized risk register
2. Hardening Blueprint: guardrails, policies, and secure-by-design architecture guidance
3. LLM/RAG Security Controls: input/output filtering strategy, system prompt protection, retrieval controls, and data governance mapping
4. Agent Permission Model: least-privilege tool design, scoped connectors, safe actions, approvals, and kill-switches
5. Detection & Monitoring Pack: logging schema, alert logic, anomaly signals, and investigation workflow
6. Incident Response Playbook: AI-specific triage, containment, evidence handling, rollback, and comms templates
7. Executive Summary: board-ready report with impact, exposure, and roadmap

CyberDudeBivash Hardening Framework (Zero-Trust for AI)

• Identity & Access: strict authN/authZ for AI entrypoints, per-user permissions, scoped tokens, secret hygiene
• Data Controls: classification, redaction, safe retrieval, row-level security, tenant isolation, DLP patterns
• Prompt Controls: instruction hierarchy, immutable system constraints, context segmentation, injection resistance
• Tool Controls: allowlisted tools, parameter validation, sandboxing, rate limits, approvals, safe execution
• Output Controls: sensitive data prevention, policy checks, anti-exfil patterns, safe formatting
• Monitoring: detection signals for injection attempts, unusual retrieval spikes, tool misuse, suspicious responses
• Resilience: kill-switches, fallback modes, safe degradation, versioning, and rollback plans

Service Packages

Package A: AI Hardening QuickScan

• High-level review of your LLM/RAG/agent architecture
• Top risks + prioritized fixes
• Baseline guardrails + logging checklist
• Executive 1–2 page summary

Package B: Production AI Security Hardening

• Full threat model + secure architecture recommendations
• Prompt injection & indirect injection defense plan
• RAG access control, retrieval tuning, and leakage prevention
• Agent/tool permission hardening (least privilege, approvals, kill-switch)
• Detection & monitoring pack + IR playbook
• Security backlog with owner-ready tasks

Package C: Enterprise AI Security Program

• Policy + governance alignment (data, access, model usage)
• Secure SDLC for AI features (reviews, gates, testing)
• Red-team style abuse testing (defensive reporting, no exploit handoff)
• Continuous improvement plan: 30–60–90 day roadmap
• Training for dev + security teams

What We Need From You (Fast Onboarding)

• Architecture diagram (or a short walkthrough)
• List of data sources + connectors (Drive, Jira, Slack, SharePoint, etc.)
• LLM endpoints/providers, vector DB, orchestration layer, and tools
• Auth model and user roles
• Existing logging/monitoring setup

Important Boundaries (Ethics & Safety)

CyberDudeBivash provides defensive security. We do not deliver weaponized exploit chains, extortion playbooks, or instructions intended to harm systems. We can perform controlled security testing and provide remediation-focused findings, guardrails, and safe proof-of-concept demonstrations where appropriate.

Get Started

To engage CyberDudeBivash AI Security Hardening, share your AI stack overview and goals. We will respond with the best package fit and a clear hardening plan.Apps & Products: Visit the official hub

Main Website: cyberdudebivash.com

Intel Blog: cyberbivash.blogspot.com

Recommended Security Stack 

These partner resources can support training, endpoint protection, and operational readiness.Edureka (Security/DevOps Training)

Kaspersky (Endpoint & Threat Protection)

Alibaba (Enterprise Infrastructure & Procurement)

AliExpress (Security Accessories & Lab Gear)

Rewardful (Affiliate Program Management)

TurboVPN (Privacy & Secure Browsing)Disclosure: Some links may be partner links. Using them helps support CyberDudeBivash.

#cyberdudebivash #AISecurity #LLMSecurity #GenAISecurity #RAGSecurity #PromptInjection #IndirectPromptInjection #AgentSecurity #ZeroTrust #DataLeakagePrevention #SecurityArchitecture #ThreatModeling #SOC #IncidentResponse #CloudSecurity #IdentitySecurity #AppSec #DevSecOps #OWASP #EnterpriseSecurity