Defensive Security & AI Agent Auditing.

01 / The Threat Landscape in Modern Web & AI Systems

Modern web applications and autonomous AI platforms operate on deeply connected architectures. While traditional vulnerabilities like SQL injection and credential stuffing remain prevalent, the rapid adoption of autonomous AI agents introduces an entirely new threat surface: prompt injection, untrusted tool execution, and context exfiltration.

At Zeriotic, we provide comprehensive defensive cybersecurity, vulnerability audits, and penetration testing. We don't just point out flaws; we build hardened architectures that prevent database SQLi dumps, protect backend APIs from mass scraping, fortify authentication against brute-force and dictionary attacks, and safeguard autonomous AI agents from adversarial prompt manipulation.

02 / Web Application & Database Defense: SQLi Dump Prevention

Database security remains the cornerstone of enterprise resilience. In our vulnerability audits, we test both direct and indirect injection vectors to ensure databases are completely impenetrable to unauthorized query alteration and data extraction.

Key Defensive Mitigations:

• Preventing SQL Injection (SQLi) & Blind SQLi: Complete deprecation of dynamic SQL string interpolation across all backend tiers in favor of strictly parameterized queries and compiled Abstract Syntax Tree (AST) ORM abstractions.
• Database Dump Mitigation: Restricting database user privileges with principle-of-least-privilege (PoLP), prohibiting administrative schema dumps, and deploying database firewalls that block bulk table extraction patterns.
• ORM Injection & Parameter Tampering Audits: Auditing raw queries, search filters, and GraphQL resolvers to prevent parameter pollution and unauthorized relational traversals.
• Automated Data Masking & Field Encryption: Ensuring sensitive client data, credentials, and financial records are encrypted at rest using AES-256-GCM, rendering leaked storage blobs unreadable.

03 / API & Backend Scrape Defense: Shielding Proprietary Data

Competitors and automated crawlers frequently target internal backend APIs to scrape proprietary pricing, business listings, or customer datasets. We engineer robust multi-layered defenses that shut down unauthorized automated harvesting without introducing friction for legitimate human users.

Scrape Mitigation Architecture:

• Token-Bucket & Leaky-Bucket Rate Limiting: Enforcing granular per-IP, per-session, and per-token rate limits at Cloudflare and Edge gateways.
• Cryptographic Request Signing: Generating short-lived HMAC request signatures tied to client device entropy, preventing headless scripts (Puppeteer, Playwright, cURL) from replaying API endpoints.
• Headless Browser & Bot Fingerprinting: Inspecting TLS client hello fingerprints (JA3/JA4), HTTP/2 frame semantics, and WebGL canvas signatures to detect automated bot swarms.
• Decoy Data & Honeytokens: Planting traceable synthetic data points that trigger automated alert pipelines and instant IP blocklisting when scraped.

04 / Authentication Resilience & Password Cracking Auditing

Authentication endpoints are under continuous siege from automated brute-force attacks, credential stuffing campaigns, and password dictionary exploits. In our security audits, we stress-test credential systems using industry-standard penetration testing tools including John the Ripper and Hashcat to verify password hashing entropy and cracking resistance.

Defensive Credential Engineering:

• Brute-Force & Dictionary Attack Prevention: Progressive exponential backoff, adaptive CAPTCHAs, and IP reputation firewalls that neutralize rapid credential guessing attempts.
• Auditing Hash Resistance with John the Ripper: We simulate realistic offline dictionary and rule-based cracking runs using John the Ripper against test hash sets to ensure enterprise password storage withstands specialized GPU cracking clusters.
• High-Work-Factor Argon2id & Bcrypt: Implementing memory-hard Argon2id (memory=64MB, iterations=3, parallelism=4) for all user password hashing, making parallel dictionary brute-forcing computationally prohibitive.
• Leaked Credential Detection: Integrating real-time HaveIBeenPwned k-anonymity API checks during registration and password changes to reject known compromised credentials before they enter the system.
• Multi-Factor Authentication (MFA) & Passkey Hardware Keys: Enforcing FIDO2/WebAuthn hardware-backed passkeys to eliminate credential replay vulnerabilities at the architectural level.

05 / Anti-AI Agent Attack Audits: Hardening Autonomous Systems

As companies deploy autonomous AI agents like sales assistants, internal copilots, and Model Context Protocol (MCP) tool-callers, they inherit unprecedented security vulnerabilities. Adversaries attempt prompt injections, context escapes, and agent hijackings to extract internal system prompts or invoke dangerous database tools.

Zeriotic provides specialized Anti-AI Agent Defense Auditing to protect autonomous LLM agents and multi-agent meshes:

Anti-AI Agent Protections:

• Prompt Injection Mitigation: Isolating untrusted user inputs from system instructions using structured message delimiters, input sanitation, and multi-turn semantic classifiers.
• System Prompt & Memory Exfiltration Defense: Applying strict negative guardrail patterns that prevent agents from divulging proprietary instructions, internal API tokens, or hidden guidelines.
• Jailbreak & Role-Reversal Prevention: Multi-tiered input and output guardrails (e.g. Llama Guard, NeMo Guardrails, custom semantic embeddings) that intercept persona overrides, DAN prompts, and adversarial character roleplay.
• Autonomous Tool Calling Sandboxing: Restricting Model Context Protocol (MCP) tool execution behind strict parameter verification schemas, read-only database views, and human-in-the-loop approvals for sensitive transactions.
• Indirect Prompt Injection Defense: Sanitizing external web pages, emails, or PDFs read by autonomous agents before they enter the context window, preventing stealthy command hijacking.

06 / Audit Deliverables & Post-Remediation Verification

Every Zeriotic security engagement concludes with a comprehensive remediation report and re-testing verification cycle. We provide code-level diffs, configuration templates, and architectural diagrams so engineering teams can implement immediate fixes without guesswork.