Agentic Index
Lasso Security vs Straiker (2026)
Both vendors last verified
Lasso Security and Straiker both discover the customer's agents, red team them and enforce policy at runtime, and they split the work differently. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Straiker sells three products. Discover AI maps each agent to its models, tools, MCP servers and permissions, Ascend AI attack agents red team on every model deployment or prompt change, and a runtime layer traces and blocks. It runs as SaaS or on premises, and AWS Marketplace sells platform access at $100,000 a year. Lasso inventories agents on Vertex AI, Microsoft Copilot, AWS Bedrock and Salesforce Agentforce, attacks them from more than 3,000 payloads in CI/CD, and enforces intent based policies at its gateway, with a free assessment on request. Lasso names no hosting region and runs a fixed lifecycle from discovery to protection. Choose Straiker for testing on every change and on premises options. Choose Lasso for intent based enforcement at a gateway.
On the Agentic Index AI SOC ranking, neither Lasso Security nor Straiker clears the bar, which asks for all five investigation loop capabilities documented in full. Lasso Security does not document workflow orchestration in full, nor human oversight and guardrails; Straiker does not document human oversight and guardrails in full. 25 of the 86 vendors in the lane clear it. See the AI SOC ranking
On the Agentic Index agent infrastructure ranking, neither Lasso Security nor Straiker clears the bar, which asks for all five production contract capabilities documented in full. Lasso Security documents two of the five in full; Straiker does not document security and identity governance in full, nor model flexibility and routing. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Lasso Security and Straiker are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Lasso Security if
- Your agents span Vertex AI, Copilot, Bedrock and Agentforce.
- Runtime policy should enforce intent at a gateway.
- A free assessment helps you scope before buying.
Choose Straiker if
- Red teaming should run on every model deployment or prompt change.
- The platform must be able to run on premises.
- A public annual price of $100,000 helps your budget.
| Feature | L Lasso Security |
S Straiker |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Lasso SecurityIntegrations & Tool Calling The platform deploys inline through a gateway, API or SDK in front of the customer's AI traffic. It discovers agents across Vertex AI, Microsoft Copilot, AWS Bedrock and Salesforce Agentforce, connects to CI/CD and cloud platforms, and blocks threats at runtime. Sourcelasso.security/platform/ai-agents-securityread 2026-09-28 |
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StraikerIntegrations & Tool Calling Discovery reaches agents across endpoints, APIs, gateways, SaaS and inference hooks, for agents built on LangGraph, CrewAI, Claude, GitHub Copilot and others. Straiker also acts in outside systems. Defend AI cuts off tool access or suspends sessions and alerts through Slack, email or webhook, and Discover AI can block or revoke risky MCP and tool access directly. Builder platforms covered include AutoGen, Vercel, AWS Bedrock AgentCore, Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, Databricks and Snowflake, and the agents people use include OpenAI Codex, ChatGPT Enterprise, Cursor, Microsoft Copilot and Perplexity. SourceStraiker, straiker.ai/platform and /products/defend-airead 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Lasso SecurityWorkflow Orchestration A fixed five stage product lifecycle runs from discovery to protection, with red team findings feeding guardrail updates. Lasso does not orchestrate the customer's agents, and customers build no flows of their own in it. Lasso no longer presents offensive agents as part of the product. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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StraikerWorkflow Orchestration Ascend AI runs a team of Straiker's own attack agents, which simulate real world threats across the customer's agent stack, from prompt injection and MCP tool misuse to agentic exploits, data leakage and exfiltration. Each Ascend finding becomes a policy recommendation for Defend AI, so testing feeds runtime protection. The kill switch can contain one agent without stopping the others or respond across many agents at once. SourceStraiker, straiker.ai/products/ascend-ai, /platform and /solution/agentic-kill-switchread 2026-10-05 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Lasso SecurityTriggers & Channel Coverage Inline detection runs on every request and agent action that passes the gateway. Red teaming runs automatically on every application update through CI/CD. Neither needs anyone to start it. Sourcelasso.security/platform/ai-red-teamingread 2026-09-28 |
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StraikerTriggers & Channel Coverage Ascend AI assessments start automatically on every model deployment, prompt update or configuration change through native CI/CD integration, and also run on schedules or on demand. Defend AI acts on every interaction at runtime, and Discover AI assesses each agent, tool connection and MCP server continuously. SourceStraiker, straiker.ai/products/ascend-ai, /products/discover-ai and /platformread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Lasso SecurityKnowledge Grounding & RAG Discovery inventories every agent and application and maps their models, system prompts, tools and guardrails. The result is a named map of the customer's AI estate. Lasso names no retrieval structure for agents to draw on. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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StraikerKnowledge Grounding & RAG Discover AI maps agents to the models, tools, MCPs, skills, data, permissions and systems behind them, and STAR Labs research feeds evaluations. That is a map of the customer's estate plus Straiker's own research, and there is no knowledge store its agents retrieve from. STAR Labs is Straiker's AI and security research team studying how real agents behave, and Defend AI checks MCP connections against Straiker's MCP Threat Database. SourceStraiker, straiker.ai/platform and /products/defend-airead 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Lasso SecurityMemory & State Persistence The customer's agents get no memory from Lasso. Intent Security's behavioral baselines are the product's own detection state, and Lasso does not say how long they are kept. The audit trails record what agents did, and the agents do not draw on them as memory. Sourcelasso.security/platform/intent-securityread 2026-09-28 |
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StraikerMemory & State Persistence There is no memory for the customer's agents. The discovery map and the traces record the estate and its activity, not anything an agent remembers. Discover AI keeps every agent, tool connection and MCP server on record and assesses them continuously, and the kill switch keeps the activity and audit trail after an agent is stopped. SourceStraiker, straiker.ai/products/discover-ai and /solution/agentic-kill-switch; straiker.ai/platformread 2026-10-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Lasso SecurityHuman Oversight & Guardrails Policies are enforced inline at the proxy, API or gateway. Intent Security acts on a threshold by "either blocking the request or sending an alert". Lasso names no step where a person approves an agent's action before it commits. Sourcelasso.security/platform/intent-securityread 2026-09-28 |
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StraikerHuman Oversight & Guardrails Defend AI runs in Detect or Protect mode with policies the customer writes, blocks prompt injection and tool manipulation, cuts off tool access and suspends sessions. The customer sets these limits, and no step has a person approve or get asked before an agent action goes through. With the kill switch, the security team can stop an agent mid task while it investigates, isolate it or take it offline, and Straiker says it stops agents in seconds. SourceStraiker, straiker.ai/platform and /solution/agentic-kill-switchread 2026-10-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Lasso SecuritySecurity, Identity & Governance ISO, AICPA, GDPR and PCI badges sit in Lasso's site footer, and its information security policy sits in an embedded document. Lasso names no SSO, role model or audit surface for the product itself, and its product docs sit behind a login. The access controls Lasso sells govern its customers' AI, not who can use Lasso. Sourcelasso.security/information-security-policyread 2026-09-28 |
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StraikerSecurity, Identity & Governance Straiker displays ISO/IEC 27001 and SOC 2 badges and is a member of the Cloud Security Alliance. It names no SSO, roles or audit log for its own console, and its security features protect the customer's agents, not access to Straiker itself. SourceStraiker, straiker.ai and /platformread 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Lasso SecurityObservability & Auditability Intent Security monitors "the entire interaction execution path" and checks each tool invocation against the request, a check Lasso calls Tool and Response Alignment. The agent product keeps "audit trails for every agent activity and decision in real-time". The record covers the customer's agents down to each step and tool call. Sourcelasso.security/platform/intent-securityread 2026-09-28 |
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StraikerObservability & Auditability Defend AI traces every interaction across the user, the model, the tool chain and calls between agents, and keeps full agentic traces as evidence ready for audit, recording each tool call the customer's agents make. Alerts go out instantly over Slack, email or webhook, and the kill switch preserves the activity and audit trail when an agent is stopped. SourceStraiker, straiker.ai/products/defend-ai and /solution/agentic-kill-switchread 2026-10-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Lasso SecurityDeployment & Data Residency Integration runs through a gateway, API or SDK. No hosting region is published, and Lasso does not say whether customers can run it in their own environment. Its product docs sit behind a login. Sourcelasso.security/platform/ai-agents-securityread 2026-09-28 |
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StraikerDeployment & Data Residency Straiker runs as SaaS or on premises for regulated and sovereign environments, so the platform can sit in a customer environment. The AWS Marketplace listing is a way to buy, not a deployment option. Defend AI installs through a single hook based integration, a one line install by API, SDK or webhook, and Straiker says it deploys in minutes. SourceStraiker, straiker.ai/platform and /products/defend-airead 2026-10-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Lasso SecurityPrebuilt Agents, Templates & Packs A prebuilt library of more than 3,000 attack payloads, with more than 500 variants added weekly, ships with prebuilt policies. The catalog has no name of its own, and Lasso ships no prebuilt agents. Sourcelasso.security/platform/ai-red-teamingread 2026-09-28 |
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StraikerPrebuilt Agents, Templates & Packs Prebuilt evaluations ship with the platform (new STAR Labs research becomes a production evaluation as it lands), along with compliance mappings to OWASP, MITRE ATLAS, NIST and the EU AI Act. The evaluation catalog and the attack agents are not named. Packaged solutions cover coding agents, custom built agents, productivity agents, the agentic kill switch, MCP and agent skills security, AI compliance and governance, and EU AI Act readiness for agents. Ascend AI also hands over remediation playbooks matched to the customer's risk tolerance. SourceStraiker, straiker.ai/platform and /products/ascend-ai; straiker.ai/products/ascend-airead 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Lasso SecurityModel Flexibility & Routing Lasso secures traffic to third party and in house models. It offers no model choice or routing of its own. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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StraikerModel Flexibility & Routing The detection models are Straiker's own, and it offers no model choice or routing for the customer. Defend AI reports 98.1% detection accuracy at under 300 ms of latency and 6 to 21 times fewer false positives than frontier models used as judges, and it inspects text, code, images, audio and file uploads. SourceStraiker, straiker.ai/products/defend-airead 2026-10-05 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Lasso SecurityAPIs, SDKs & MCP Extensibility Customers deploy Lasso "with a single line of code via Gateway, API, or SDK". The API and SDK reference, at app.lasso.security/docs-auth, sits behind a login. Sourcelasso.security/platform/ai-agents-securityread 2026-09-28 |
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StraikerAPIs, SDKs & MCP Extensibility Customers integrate through an API, SDK, webhook or AI sensor, though no API reference or SDK documentation is public, since the developer docs at docs.straiker.ai ask for an access code. Ascend AI also hooks into CI/CD pipelines to catch issues during builds and guide developers to fix them early. SourceStraiker, straiker.ai/products/defend-ai, /products/ascend-ai and docs.straiker.airead 2026-10-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Lasso SecurityTesting, Debugging & Optimization Red teaming tests the customer's models, agents and applications with adversarial simulations over several turns, drawn from a library of more than 3,000 payloads. It runs automatically on every application update through CI/CD. Each result maps to a fix in a guardrail, system prompt or tool permission. The tests run against the customer's deployed agents directly. Sourcelasso.security/platform/ai-red-teamingread 2026-09-28 |
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StraikerTesting, Debugging & Optimization Ascend AI continuously red teams the customer's agents across tools, MCP servers and workflows in development, staging and production, reporting real impact (code execution, exfiltration, tool abuse) mapped to OWASP, to MITRE ATLAS, to NIST and to the EU AI Act. Assessments run continuously, on a schedule or on demand, and also report unauthorized actions. Each finding becomes a suggested Defend AI policy. Straiker claims the highest attack success rate in the industry, and the mapped results serve as evidence for compliance reviews. SourceStraiker, straiker.ai/products/ascend-ai and /platformread 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Lasso SecurityBrowser & Computer Use Everything happens at the gateway, API and policy layer, and there is no browser or computer use. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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StraikerBrowser & Computer Use The platform works through hooks, APIs, SDKs and sensors, and its own agents use no browser or computer. It does watch coding agents such as Cursor, Claude Code and GitHub Copilot for destructive commands, file access violations and suspicious outbound access. SourceStraiker, straiker.ai/platform and /products/defend-ai; straiker.ai/products/defend-airead 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | L Lasso Security |
S Straiker |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales; no prices published. Demo and a free assessment on request. | AWS Marketplace: 12-month contract at $100,000 per year for platform access (about $8,333 a month), billed on committed units for the agent footprint; scoped quotes from the vendor. |
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Pricing confidence How public the numbers are |
Contact only | Public, partial |
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Billing Primary billing axis |
Inference, not stated by the vendor: scope of models, agents and applications secured. | Committed units representing the agent footprint, annual contract. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Lasso Security
-
· Integrations
Claude Enterprise activity can now flow into Lasso through Anthropic's Claude Compliance API, an integration now generally available.
Source -
· Security / enterprise
Lasso introduced LEAP, AI security guardrails that run on CPUs while aiming for the accuracy of GPU based models, built to evaluate complex agentic workflows.
Source
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