AI Defense Stack

Agent & MCP security

Straiker: agent discovery, testing and defense platform

Straiker is an agent discovery, testing and defense platform from Straiker. It is a commercial product offered as: SaaS, On-prem. Pricing model: not published.

  • Last reviewed
Visit Straiker (opens in a new tab)
Commercial Layer 7: Agent and tool access

Best for

  • Teams running custom or MCP-connected agents that want discovery, adversarial testing and runtime blocking from one vendor
  • Security teams that must cover coding agents, workplace assistants and custom-built agents under one set of policies

Consider instead if

  • You want a guardrail API for a single LLM application rather than a platform for agents. See Lakera Guard.
  • You need the whole platform documented as self-hostable (Pillar), or an MCP gateway on Kubernetes with an open red teaming CLI (Operant). See Pillar Security or Operant AI.

What Straiker does

Straiker sells three agent security jobs that buyers often source separately: finding agents, attacking them, and defending them in production, as Discover AI, Ascend AI and Defend AI. Pillar Security and Operant AI make the same three-part pitch, so the differences sit in the details. Straiker names the agents it covers by type: coding agents such as Cursor and Claude Code, workplace assistants such as Microsoft Copilot and Agentforce, and custom agents on Bedrock or Azure AI Foundry. Its runtime product connects through an API, SDK, webhook or sensor rather than an inline proxy, and checks MCP servers against a threat database Straiker maintains. Only Defend AI is documented for on-premises use. We found no public documentation or changelog, and the product page quotes accuracy figures without a method, so ask for evaluation data before you compare vendors.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Vendor
Straiker Source, checked October 21, 2026: straiker.ai (opens in a new tab)
Status
Active Source, checked October 21, 2026: straiker.ai (opens in a new tab)
Open source
No: closed source (proprietary) Source, checked October 21, 2026: straiker.ai (opens in a new tab)
Latest release
Not documented in the sources we checked
Deployment
SaaS, On-prem Source, checked October 21, 2026: straiker.ai (opens in a new tab)
Pricing model
Not published in the sources we checked Source, checked October 21, 2026: straiker.ai (opens in a new tab)
Website
straiker.ai Source, checked October 21, 2026: straiker.ai (opens in a new tab)
Documentation
Not documented in the sources we checked
API reference
Not documented in the sources we checked
Quickstart
Not documented in the sources we checked
Security page
Not documented in the sources we checked
Attestations or disclosure
SOC 2 certified; ISO/IEC 27001 certified Source, checked October 21, 2026: straiker.ai (opens in a new tab)

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where Straiker fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that Straiker covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L7 Agent access Agent and tool access Primary Limit which tools, MCP servers, data and credentials an agent can use, and require approval for risky actions. Follows its category, Agent & MCP security
L2 Discovery Discovery and posture Also covers Documents discovery of AI agents and monitoring of their tools and MCP connections. Discovers AI agents and monitors their tools and MCP connections
L4 Testing Testing and red teaming Also covers Documents continuous red teaming of agents across tools, MCP servers and workflows. Continuously red-teams agents across tools, MCP servers and workflows

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

OWASP LLM risks mapped to Straiker, with the capabilities each mapping rests on
RiskHow it appliesBased on
LLM01 Prompt Injection Defend AI stops direct and indirect prompt injection. Stops direct and indirect prompt injection and agent manipulation
LLM02 Sensitive Information Disclosure Monitors for exfiltration of PII, regulated data and secrets. Monitors for data exfiltration, including extraction of PII, PCI, HIPAA-regulated data and secrets; Defend AI covers coding agents, workplace assistants and custom agents, connected by API, SDK, webhook or sensor
LLM06 Excessive Agency Blocks risky tool access and flags malicious or vulnerable MCP servers. Checks MCP servers and tool connections against its own MCP Threat Database of local and remote MCP risks; Blocks or revokes risky MCP and tool access

Not mapped in our analysis: LLM05, LLM07. These are risks we expect tools in this category to cover; the sources we checked do not document a matching capability.

Alternatives and related tools

More in Agent & MCP security, ranked within the category by Coverage Score.

Cisco DefenseClaw

Cisco

Open sourceApache-2.0
  • CLI
  • Self-hosted

Scans skills and MCP servers, inspects agent tool calls and keeps an audit trail around AI coding agents.

Best for: Security teams that want scanning, guardrails and an audit trail around the coding agents developers already run, starting in observe mode before anything is blocked

Coverage Score 76 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

Docker MCP Gateway

Docker

Open sourceMIT
  • CLI
  • Self-hosted

Proxies AI clients to MCP servers it runs as isolated Docker containers, with tool filters and call logs.

Best for: Developers and platform teams that already use Docker and want MCP servers to run in containers behind one gateway with per-server tool selection

Coverage Score 72 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

agentgateway

agentgateway (a Series of LF Projects, LLC)

Open sourceApache-2.0
  • CLI
  • Self-hosted
  • Cloud-native

Open-source proxy that applies auth, CEL policy and guardrails to LLM, MCP and agent-to-agent traffic.

Best for: Platform teams that want one open-source gateway in front of MCP servers and LLM providers, with token validation, CEL rules per MCP method and pluggable guardrails

Coverage Score 69 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

Straiker FAQ

Is Straiker open source?

No. It is a commercial platform, and we found no public source repository for the product.

How does Straiker compare with Pillar Security and Operant AI?

All three cover agent discovery, red teaming and runtime defense. In the listings here, Pillar is documented as self-hosted for its platform, Operant runs on Kubernetes with an MCP gateway and an open-source red teaming CLI, and Straiker names coverage for coding, workplace and custom agents and connects without an inline proxy.

Does Straiker send alerts or logs to other tools?

The Defend AI page lists dashboards, audit logs and alerts over Slack, email or webhook. It names no SIEM export, so a webhook would be the route into a SIEM.

Can Straiker be run on premises?

The platform page says Defend AI is offered as SaaS or on premises for regulated and sovereign environments.

Key facts you can cite

We have no commercial relationship with Straiker.

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.