How much does Straiker cost?

AWS Marketplace lists a 12-month contract at $100,000 per year for platform access, billed on committed units for the agent footprint; scoped quotes come from the vendor.

What are the best alternatives to Straiker?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Straiker among security and SOC agents are DeepKeep, Pillar Security, HiddenLayer, Lasso Security. Each is graded on the same public evidence, and no vendor pays for placement.

Can Straiker be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Straiker publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: 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. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Straiker give you tracing and observability into agent runs?

Full under the Agentic Index verification standard. Straiker publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: 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. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Straiker support MCP and tool calling?

Partial under the Agentic Index verification standard. Straiker publishes some public evidence of tool calling and API or SDK extensibility, but narrower than full Model Context Protocol (MCP) support as defined by the Agentic Index taxonomy. Evidence basis: 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 i. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Straiker

Also known as: Ascend AI, Defend AI, Discover AI

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Security / SOC agentindependentVerified 2026-09-28

Entry priceAWS 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.Full pricing detail

Agent security in three products: discovery that maps each agent's tools and permissions, attack agents that red-team the customer's agents on every change, and runtime tracing and blocking; SaaS or on premises.

Straiker sells three products for securing the customer's AI agents. Discover AI finds agents across endpoints, APIs, gateways, SaaS and inference hooks and maps each one to the models, tools, MCP servers, skills, data, permissions and systems behind it. Ascend AI uses AI attack agents to red-team the customer's agents across tools, MCP servers and workflows, continuously, on a schedule or automatically on every model deployment, prompt update or configuration change, reporting real impact such as code execution, data exfiltration and tool abuse mapped to OWASP, to MITRE ATLAS, to NIST and to the EU AI Act.

Defend AI traces every interaction across the user, model, tool chain and agent-to-agent calls, runs in Detect or Protect mode with customer-written policies, blocks prompt injection, data leakage and tool manipulation, can cut off tool access or suspend a session, and alerts through Slack, email or webhook. Integration is by a single hook through API, SDK, webhook or AI sensor, and the platform runs as SaaS or on premises. Straiker shows ISO/IEC 27001 and SOC 2 badges and runs the STAR Labs research team.

Vendor details

Canonical URL

https://www.straiker.ai

Funding status

Independent; co-founded by CEO Ankur Shah (formerly SVP and GM of Prisma Cloud at Palo Alto Networks) and CTO Sreenath Kurupati (formerly VP of AI, Data Science and Security Research at Akamai); headquartered in Mountain View with an office in Bengaluru; investors named on the about page include Marathon Growth Partners, Lightspeed, Bain Capital Ventures, Citi Ventures, Workday Ventures, Rain Capital and Illuminate Ventures. Reported funding is about $85M, including a $64M Series A in June 2026; the about page does not state totals.

Company status

independent

Use cases & customers

Primary use cases

AI agent, tool, and MCP server discovery and shadow-usage inventorycontinuous pre-deployment adversarial testing of agents (red teaming)runtime protection against prompt injection, agent manipulation, and data leakagecompliance mapping to OWASP LLM Top 10, MITRE ATLAS, and the EU AI Actpre-release model validation for frontier AI labs

Target customers

enterprises running fleets of internally built and third-party AI agentsfrontier AI labs validating pre-release modelsfinancial services and healthcare organizationsdirect-to-consumer enterprises with customer-facing AI at scale

Deployment options

SaaSon premises for regulated and sovereign environmentshook-based integration by API, SDK, webhook or AI sensor

Integrations

Covers agents built on LangGraph, CrewAI, Claude, GitHub Copilot and others; integrates by a single hook through API, SDK, webhook or AI sensor; alerts through Slack, email or webhook; listed on AWS Marketplace. No API reference is documented.

In practice

Your developers run Cursor, Claude Code and GitHub Copilot, and you cannot see which MCP servers and skills they have connected. Straiker's Discover AI catalogs every agent and tool connection and flags risky permissions and unsafe connections.

You ship a customer facing agent and need proof it resists prompt injection before each release. Ascend AI runs attack agents against it on every deployment or prompt change and maps the results to OWASP, MITRE ATLAS, NIST and the EU AI Act.

An agent starts sending company data somewhere it should not. Defend AI blocks the action at runtime, and the kill switch lets your security team suspend the session or take the agent offline while keeping the audit trail.

Sources & related URLs

Research sources

https://www.straiker.ai/blog/straiker-launches-with-21-million-to-safeguard-ai https://www.securityweek.com/straiker-raises-64-million-for-ai-security-platform/ https://www.prnewswire.com/news-releases/straiker-becomes-fastest-growing-agentic-first-ai-security-company-securing-global-enterprises-and-frontier-labs-in-under-12-months-302696565.html https://aws.amazon.com/marketplace/pp/prodview-4ey26i3k5epmi

Agentic Index coverage score

8.5 / 14 capabilities · 61%

Integrations & Tool Calling	Full
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
Workflow Orchestration	Full
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
Knowledge Grounding & RAG	Partial
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
Human Oversight & Guardrails	Partial
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
Security, Identity & Governance	Partial
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
Observability & Auditability	Full
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
Memory & State Persistence	Not documented
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
Deployment & Data Residency	Full
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
Prebuilt Agents, Templates & Packs	Partial
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
Triggers & Channel Coverage	Full
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
Model Flexibility & Routing	Not documented
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
APIs, SDKs & MCP Extensibility	Partial
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
Testing, Debugging & Optimization	Full
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
Browser & Computer Use	Not documented
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

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Product updates

August 4, 2026·Human approval / guardrailsVerified

Straiker launched the Agentic Kill Switch, a new security control designed to take rogue or compromised enterprise AI agents offline in seconds. The feature allows security practitioners to immediately sever connections and halt agent activity when an agent crosses defined security boundaries.

Bears on: Human approval / guardrails

View source

View all Straiker updates →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

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.

Committed units representing the agent footprint, annual contract.

What is public

The AWS Marketplace listing publishes a $100,000 per year, 12-month platform contract billed on committed agent-footprint units; the vendor site shows no prices.

Variable cost rationale

Committed units for the agent footprint fix spend for the term rather than per event; cost grows with the committed footprint.

Sales call required

Mixed (some tiers require a call)

Free / trial

Not published

Lowest paid plan

12-month platform access, $100,000 per year (AWS Marketplace).

Key ambiguities

The unit definition and price per additional unit are quoted by the vendor.

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Straiker

The closest documented capability profiles to Straiker among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

DeepKeep8.5 / 14Fuller documented coverage on Human Oversight & Guardrails
Pillar Security7.5 / 14A lighter documented profile than StraikerStraiker vs Pillar Security →
HiddenLayer9.0 / 14Fuller documented coverage on Security, Identity & Governance and APIs, SDKs & MCP Extensibility
Lasso Security7.0 / 14A lighter documented profile than StraikerStraiker vs Lasso Security →
Noma Security7.0 / 14A lighter documented profile than StraikerStraiker vs Noma Security →
Repello AI8.0 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Straiker with other vendors →Compare all security and SOC agents →See where Straiker ranks →

Data confidence: medium

Head to head

Straiker vs Lasso SecurityStraiker vs Noma SecurityStraiker vs ZenityStraiker vs Pillar Security