PromptShield
A drop-in filter that sits between customer messages and a business's AI chatbot or support agent, scanning incoming text for prompt injection attempts, data exfiltration requests, and adversarial instructions before they reach the model.
customer service and IT managers at SMBs running AI chatbots
- Pre-LLM classifier that flags and rewrites suspicious user messages before they hit the agent
- Per-tenant policy controls (block/allow lists, sensitive topic fences, output redaction)
- Real-time dashboard of blocked attacks with attacker fingerprinting and conversation replay
- One-click deployment as a proxy in front of Intercom, Zendesk, or a custom GPT wrapper
The GitLost disclosure showed that any AI agent reading external content (issues, tickets, emails) can be weaponized with a single crafted message, and most SMBs running AI chatbots have zero defenses against this attack class today.
OWASP ranks prompt injection #1 on Top 10 for LLM Applications 2025; GitLost got 257 HN points and was covered by Noma Security, TNW, DevOps.com — clear enterprise awareness, but SMB-specific demand less documented.Prompt Injection Attacks: Examples and Defences ↗GitLost: How We Tricked GitHub's AI Agent into Leaking Private Repos ↗
Crowded field: Lakera Guard is the category-defining managed firewall, plus PromptArmor, Aegis, NeMo Guardrails, Promptfoo, Garak, LLM Guard, HiddenLayer, Check Point AI Guardrails — most target enterprise, leaving only a thin SMB niche.LLM Firewall & Guardrail Tools Compared (2026): Lakera, PromptArmor ... ↗
Lakera is 'priced for enterprise' and LLM Guard/Promptfoo are open source — no public evidence of SMB willingness to pay; per-request economics for low-volume SMB chatbots make monetization questionable.Lakera AI alternatives — which prompt injection guardrail should I use ... ↗LLM Firewall & Guardrail Tools Compared (2026) ↗
OWASP Top 10 placement plus multiple 2025-2026 academic surveys and dedicated research labs (Noma, Obsidian) signal a permanent category tied to a fundamental LLM architectural weakness that will worsen with agent adoption.Prompt Injection Attacks in 2025 | Risks, Defenses & Testing ↗Securing AI Agents Against Prompt Injection Attacks ↗
Proven architecture with multiple open-source reference implementations (LLM Guard, Promptfoo, Garak) and managed examples (Lakera, Check Point) — drop-in filter pattern is well-trodden and buildable with existing tools.Prompt Injection Defense Comparison: Aegis, NeMo Guardrails, Lakera ... ↗Lakera Alternatives: Best Competitors to Consider (2026) ↗