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Straiker

Agentic AI Security for Every Agent

Straiker gives security teams visibility and control across AI agents in the enterprise. Discover AI maps agents, MCP servers and agentic workflows; Ascend AI adversarially tests agents for prompt injection and tool misuse; Defend AI provides runtime detection and blocking of threats to agents.

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In research (1)

Red-teaming and robustness for AI agents.

Haize Labs stress-tests agents with automated adversarial attacks — prompt injection, tool misuse, unsafe actions — and ships an SDK for continuous safety evaluation in CI.

3 pros · 3 cons

Automated evaluation and guardrails for LLM systems.

Patronus AI scores outputs against policy and business criteria in CI and production, catching regressions before users do — 'unit tests for AI'.

4 pros · 3 cons

Human approval and context engineering for agents.

HumanLayer builds tooling for human-in-the-loop agent workflows and authored '12-Factor Agents' — the widely-cited methodology for building production harnesses. Now focused on agentic code review tooling.

3 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Built on · 1

Similar entries · 2

Sources

  1. Straiker website