Manage your entire AI agent fleet from one platform. DapplePot monitors every action in real time, lets you control rogue sessions instantly, and protects your stack with automated OWASP coverage — so you can intervene before damage is done.
Enterprises aren't deploying one agent. They're deploying fleets — and every fleet is a new risk surface.
Threats caught and killed before they reach your users or external systems.
A complete, tamper-evident record of everything your agent did — automatically.
Behavioral trends, drift detection, and fleet-level risk scoring across all your agents.
Most tools stop at “runtime.” DapplePot covers the full arc — from the first LLM call to cross-session health of your entire fleet.
Drop the SDK into your agent code and DapplePot starts monitoring immediately — every LLM call, tool use, and decision captured across the entire session.
Read the docs ↗import anthropic from dapplepot_sdk import DapplePot # Initialize once — your credentials dp = DapplePot( sdk_key = "dp_sk_•••", tenant_id = "acme-corp", agent_id = "sales-copilot", ingest_url = "https://ingest.dapplepot.com", ) dp.instrument_anthropic() # Wrap each conversation in dp.session() with dp.session(user_context_id="user_123"): response = anthropic.Anthropic().messages.create( model="claude-opus-4-7", max_tokens=1024, messages=[{"role": "user", "content": "Hello!"}], ) # Runtime detection fires inline. # Post-session audit runs automatically. # Cross-session health tracked continuously.
Every action, every call recorded in sequence. Replay any session frame by frame.
Kill sessions instantly. Push policy updates to running agents without a redeploy. Set what is expected for each agent — any deviation raises a flag automatically.
Catch threats in runtime, post-session and cross-session to maintain a long-sighted lighthouse view of your entire agent fleet.
Full visibility, live intervention, and inline detection — without changing how your agents run or slowing them down.
DapplePot gives each stakeholder exactly what they need — from the same source of truth.
You built the agent. Now see what it actually does in production — not what you think it does in a notebook.
AI agents are your largest unmonitored attack surface. DapplePot brings them into your security perimeter.
When auditors ask what your agent did, "it seemed fine" won't cut it. DapplePot gives you the tamper-evident trail.
Full coverage across OWASP LLM Top 10 and OWASP Agentic AI Top 10 — the standards your security and compliance teams already recognize.
Malicious inputs override agent instructions
Sensitive data leaks through outputs
Not detectable at inference time
Not detectable at inference time
Unvalidated output triggers harm downstream
Agent acts beyond its sanctioned mandate
Internal instructions exposed to users
Some sub-checks excluded — pre-runtime only
Hallucinated outputs delivered with confidence
Runaway resource and cost abuse
Agent objective redirected mid-session
Tools exploited beyond intended scope
Agent impersonates or escalates access
Compromised plugins or dependencies
Agent triggers unintended runtime actions
Persistent memory injected with malicious context
Multi-agent trust exploited to spread threats
One failure triggers a chain reaction
Human over-reliance weaponized against users
Agent operates entirely outside its boundaries