Agent inventory and discovery
Auto-discovers agents in an environment, including sanctioned, custom-built, and shadow agents, then fingerprints them by framework, system prompt, and tool schema.
Benchspan
Benchspan is an AI agent security platform that discovers agents, blocks prompt injection and data exfiltration in real time, and supports pre-launch red teaming. It is aimed at teams running agents in production and includes Python and TypeScript SDKs.
Real-time security for AI agents
Benchspan is an AI agent security platform for production environments. It combines agent discovery, runtime protection, and pre-launch red teaming so teams can see what agents are running, inspect what they do, and stop risky behavior before it has an impact.
The product is built around indirect prompt injection and related agent threats such as data exfiltration, unauthorized tool access, jailbreaks, and tool abuse. Benchspan says it sits inline on the request path, evaluates every prompt, tool call, and response, and uses confirmed threats to retrain its classifier on your traffic.
Core capabilities
Traceability and audit evidence
Tracks each agent session with tool-call chain linking, per-agent activity feeds, session replay, and audit-ready PDF or CSV exports.
Real-time runtime defense
Runs a purpose-trained classifier and policy engine inline on the request path to catch prompt injection, exfiltration, jailbreaks, and tool abuse before the agent acts.
Policy control and response actions
Supports allow, block, and escalate decisions, plus threshold-based policies, custom rules, and Agent Alignment hooks for allowed tools, output rules, and intent statements.
Operational integrations
Offers outbound alerting to Slack, PagerDuty, webhooks, and SIEM so teams can route confirmed or suspicious activity into existing incident workflows.
Red teaming and validation
Provides pre-launch adversarial testing with reproducible findings, remediation guidance, and retesting after fixes, mapped to OWASP Agentic Top 10 and MITRE ATLAS.
Common ways teams use Benchspan
Map agent usage across the environment
Security and platform teams can discover every agent in an environment, including shadow agents, and keep an inventory with traceability across sessions and tool calls.
Protect production agent traffic
Teams running customer-facing or internal agents can place Benchspan inline to inspect prompts, tool calls, and responses and block suspicious behavior in real time.
Red team new releases
Before launching a new agent or major change, security teams can run adversarial testing to surface indirect prompt injection and other agent-specific issues.
Feed incident response and audits
Operations teams can turn confirmed threats into alerts and audit evidence using exports, session replay, and notification hooks into Slack, PagerDuty, webhooks, or SIEM.
Pros and Cons
Pros
- Covers three adjacent needs in one platform: observability, runtime defense, and pre-launch red teaming.
- Designed specifically around indirect prompt injection and agent-specific attack paths rather than generic chatbot attacks.
- Includes concrete audit and workflow features such as session replay, per-agent traceability, exports, and outbound alerts.
- Offers a documented free tier with 50,000 requests per month and no credit card required to start.
Cons
- The pricing page at the provided URL returns a 404, so commercial packaging is not confirmed from the supplied sources.
- The source pages do not provide a complete public list of supported frameworks, clouds, or deployment boundaries.
FAQ
What does Benchspan do?
Benchspan is positioned as a security platform for AI agents running in production. It catalogs agents, inspects requests inline, and can block prompt injection, data exfiltration, jailbreaks, and unauthorized tool use before the agent acts.
How does Benchspan fit into an existing stack?
The source states that Benchspan provides Python and TypeScript SDKs and says the platform sits on the request path. It also describes automatic agent discovery and per-session traceability, but it does not publish a full integration list on the pages provided.
Which parts of the platform can teams use?
Benchspan's products are meant to work alone or together: AI Observability for inventory and traceability, AI Security for real-time blocking, and AI Red Teaming for pre-launch testing. The products are presented as a coordinated layer for agent environments.
Is there a free tier or published pricing?
The pricing page at the provided URL returns a 404, so the source does not confirm current plans or commercial terms. The homepage does state there is a free tier with 50,000 requests per month and no credit card required to start.
What limitations should buyers verify before adoption?
The published materials emphasize production traffic, real-time defense, and adversarial testing before launch. They do not provide a full list of supported frameworks, clouds, or deployment limits in the supplied source pages.
Quick Facts
- Category
- AI agent security platform
- Primary focus
- Prompt injection, data exfiltration, unauthorized tool access
- Products
- AI Observability, AI Security, AI Red Teaming
- SDKs mentioned
- Python and TypeScript
- Source domain
- benchspan.com
- Entry offer
- Free tier, 50,000 requests per month, forever
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