AI Agents for Osint/Sigint vs PromptTrace

Memoize page layouts so extraction cost falls as usage grows. Public beta is open.

Free prompt injection labs with real LLMs. Practice RAG poisoning & tool exploitation. Inspect assembled prompt layers with Context Trace; sensitive values are redacted....

About AI Agents for Osint/Sigint

Memoize page layouts so extraction cost falls as usage grows. Public beta is open. This consists of claws, browser/computer-use, and agentic crawlers, and scrapers. These have made it easier to retrieve data, but the cost has stayed the same. It's an work-in-progress implementation for a continual learning harness focusing on Browser-use. Lower cost at scale: as layouts are memoized, cost comes down to a vector query. Your agentic loop only has to deal with the DOM nodes it's concerned with: More signal, less noise.

About PromptTrace

Free prompt injection labs with real LLMs. Practice RAG poisoning & tool exploitation. Inspect assembled prompt layers with Context Trace; sensitive values are redacted. No experience required. Learn why prompt-level defenses fail and what actually works. The learning path connects each lab to the vulnerability and its mitigations. A practical guide to AI jailbreak techniques: roleplay and DAN prompts, fake authority, encoding, multi-turn attacks, and reasoning exploits. Learn how each one works, why it bypasses safety, and how to defend.