What is a Pencheff agent swarm?

The Pencheff agent swarm is a multi-agent red team system where a planner agent decomposes a target into attack sub-goals, then fans out to 19 specialised breaker agents that each pursue a specific attack vector in parallel — dramatically increasing coverage over single-agent approaches.

How does the swarm handle catastrophic or irreversible actions during testing?

Every breaker agent operates under a budget (maximum tool calls) and a killswitch monitored by the planner. Potentially destructive actions require explicit escalation approval. Pencheff maintains a full audit trail of every action taken during the swarm run.

What is the difference between a swarm test and a standard LLM red team?

A standard LLM red team probes a single model endpoint for input/output vulnerabilities. A swarm test operates as a realistic adversarial actor against an entire agent pipeline — testing multi-step attack chains, tool misuse, and emergent vulnerabilities that only appear in multi-turn agent interactions.

AI security

Agent swarms

Recon, breaker, exploit, synthesis, and reporting agents.

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ScopeFeatured

Test AI products before attackers do: prompt attacks, tool abuse, data leakage, unsafe output, guardrail bypass, multi-agent workflows, and runtime policy enforcement.

OutputUnified evidence

Findings, reports, dashboards, exports, integrations, and retests all read from the same normalized record.

MethodDeterministic first

Pencheff favors repeatable checks, then uses AI for triage, enrichment, orchestration, and remediation where it adds signal.

Coverage

What does Agent swarms test?

Recon, breaker, exploit, synthesis, and reporting agents.
This page is part of AI Security under Featured.
It links back into the broader red team models, agents, tools, and guardrails experience.
OWASP LLM Top 10 coverage for prompt injection, sensitive information disclosure, supply chain, data leakage, plugins, agency, overreliance, and model theft.
Jailbreak strategies, roleplay, encoding, payload splitting, multilingual variants, custom datasets, and judge-backed scoring.
Agentic tests for tool authorization, memory poisoning, context exfiltration, planner hijacking, and unsafe side effects.
Sentry runtime guardrails, HTTP sidecars, LiteLLM plugins, MCP middleware, PII, secrets, unsafe HTML, and tool authorization checks.
AI governance mapping to OWASP LLM, MITRE ATLAS, NIST AI RMF, EU AI Act, ISO/IEC 42001, GDPR, and SOC 2.

Execution

How does Pencheff run this?

Register an LLM endpoint, chatbot, model gateway, MCP host, or agent workflow.
Choose built-in categories, datasets, guardrails, custom prompts, and optional judge settings.
Run adversarial campaigns across prompt, tool, memory, retrieval, output, and policy paths.
Classify failures by category, strategy, severity, transcript, token cost, and guardrail recommendation.
Turn passing and failing prompts into regression suites for releases and model upgrades.

Evidence

What evidence does this produce?

Prompt, response, tool call, policy decision, transcript, category, strategy, judge result, and confidence.
Recommended guardrails with exact unsafe behavior, enforcement point, and regression prompt.
Token usage, model/provider metadata, retry behavior, and cost-oriented observability.
Governance mappings for AI risk, safety, privacy, and compliance programs.

Controls

How is this kept safe to run?

Tests can be run through HTTP, chat-completions, LiteLLM, MCP, or custom adapters.
Guardrail recommendations stay tied to the scan that exposed the failure.
Agentic testing focuses on authorization, context boundaries, and side-effect control.
Runtime policy checks can be placed before prompts, after responses, or around tools.

Documentation

Read the full reference.

FAQ

Common questions

What is a Pencheff agent swarm?: The Pencheff agent swarm is a multi-agent red team system where a planner agent decomposes a target into attack sub-goals, then fans out to 19 specialised breaker agents that each pursue a specific attack vector in parallel — dramatically increasing coverage over single-agent approaches.
How does the swarm handle catastrophic or irreversible actions during testing?: Every breaker agent operates under a budget (maximum tool calls) and a killswitch monitored by the planner. Potentially destructive actions require explicit escalation approval. Pencheff maintains a full audit trail of every action taken during the swarm run.
What is the difference between a swarm test and a standard LLM red team?: A standard LLM red team probes a single model endpoint for input/output vulnerabilities. A swarm test operates as a realistic adversarial actor against an entire agent pipeline — testing multi-step attack chains, tool misuse, and emergent vulnerabilities that only appear in multi-turn agent interactions.