Smartflow vs. Straiker: Agentic Security vs. Request Path

Straiker secures AI agents against attack. Discover AI inventories agents and their tools, Ascend AI red-teams them, and Defend AI blocks threats at runtime, through SDKs, sensors, hooks and the AI gateways a customer already runs. Smartflow is a gateway on the request path: policy is evaluated before the prompt reaches the model, a person decides where policy requires one, and each decision is written to the customer's SIEM. They differ on where enforcement happens, who decides, and what the record is built to prove.

The short version

Straiker is a security platform for agents. It red-teams them before release with Ascend AI, detects attacks in production, and takes a compromised agent offline. It reaches custom, coding and productivity agents through whichever integration fits.

Smartflow is one control point on the path a call takes, with policy, routing and caching on the same gateway. An action that needs a person waits as an approval ticket, and the record of each decision goes to the customer's SIEM.

Which leads depends on whose question is more urgent: the security team asking what an attacker can make an agent do, or the supervisor asking who approved what the agent did. Regulated firms get asked both.

Feature Comparison

Where enforcement happens

Straiker attaches wherever an agent can be reached: an SDK that exports traces, an eBPF sensor for Kubernetes workloads, proxy-log ingestion for SaaS agents, a browser extension, and a gateway or API mode. Defend AI also runs as a guardrail inside Kong AI Gateway and the LiteLLM proxy, and inference hooks inspect Claude Code tool calls before they execute.

That breadth reaches agents a single gateway never sees, including SaaS agents a firm did not build. It also means enforcement depends on the integration: some paths block inline, others are analyzed in Straiker's Detection Cloud. A buyer should map each agent to its integration and confirm which run in Protect mode.

Smartflow has one enforcement point, and policy applies the same way to every call routed through it. Nothing is discovered automatically. The trade is that a call has to be pointed at the gateway.

Who decides, and what the record shows

Straiker's glossary draws a useful line: "Stopping an action prevents one specific operation from completing." And: "Stopping an agent prevents the agent from continuing to act." Defend AI does the first. The Agentic Kill Switch does the second, with a security practitioner making the call. Straiker also says Defend AI "requires human approval for high-impact actions." It does not publish how that approval works, such as who can approve or how the approver is verified.

In Smartflow, an action that needs someone with authority to approve it pauses as an approval ticket: pending until someone with approval rights approves or denies it, redeemed once when the action runs, and expired after 24 hours. With step-up, the approver re-verifies their identity before the approval counts, and the record shows who decided.

The records answer different questions. Straiker maps its evidence to OWASP, MITRE ATLAS, NIST AI RMF and the EU AI Act, and states plainly that it "doesn't certify compliance. It proves readiness." Smartflow's record of each decision is bound to the human who owns the agent, hash-chained and written to the customer's SIEM, and its examination packages for FINRA 3110, HIPAA, SOX and the EU AI Act are generated from those records. A supervisor asks which person authorized an action. That is the record Smartflow is built to produce.

Where it runs, and what else sits on the path

Straiker documents SaaS or an on-premises Helm deployment for regulated and sovereign environments, which settles residency for most buyers. Air-gapped operation is not documented. A firm whose AI runs in an enclave with no egress should ask which components, the Detection Cloud included, run inside the boundary. For Smartflow: configured with local embeddings and a local model, policy, cache and audit make no call to us or anyone else.

Smartflow also routes and fails over across model providers, with caching, on the gateway that enforces policy. Straiker documents none of that. Its gateway mode evaluates model payloads for threats, and its Kong and LiteLLM integrations add guardrails to gateways a customer already runs.

Where Straiker is strong

Straiker covers the agent lifecycle from discovery to containment. Ascend AI runs "continuous, scheduled, or on-demand" adversarial tests, triggers from CI/CD on every model deployment, prompt update or configuration change, and, in Straiker's words, "Every successful Ascend AI attack can become a Defend AI policy." That loop from test to control is good engineering, and every team shipping agents needs the discipline.

Its detection is deep and measured. Defend AI inspects text, code, images, audio and file uploads, checks MCP connections against its own threat database, and draws on its STAR Labs research team. Straiker publishes its benchmark method, with true and false positive rates and detection latency against frontier models used as standalone detectors, so a buyer can check the method as well as the result.

Its reach is broad: coding agents such as Cursor and Claude Code, productivity agents such as ChatGPT Enterprise, custom agents on the major clouds, and a kill switch that contains one agent or the whole estate. It is ISO 27001 certified with a SOC 2 Type II attestation, and was named a Sample Vendor for Agentic AI Security in two 2026 Gartner Hype Cycles. For a security team whose first question is what an attacker can make its agents do, Straiker answers it directly.

When to choose Smartflow

• Air-gapped operation: configured with local embeddings and a local model, policy, cache and audit make no call to us or anyone else
• A person decides, on the record: the action pauses as an approval ticket, the approver re-verifies identity with step-up where policy requires it, and the record shows who decided
• Examination evidence: packages and model inventory for FINRA 3110, HIPAA, SOX and the EU AI Act, generated from enforcement records
• Agent identity: AIDA issues a cryptographic credential to the agent itself, scoped and revocable independently of its launcher

Running both

Most of their jobs differ. Straiker tests agents before release, watches coding and SaaS agents through its hooks and sensors, and contains an agent that goes wrong. Smartflow enforces policy on each call routed through it, pauses an action for a person where policy requires one, and writes the record. The cost is two systems whose policies have to stay aligned. The benefit is that red-team findings and runtime enforcement each sit with the product built for them.

Common questions

Can Straiker run on-premises? Yes. Straiker documents SaaS or an on-premises Helm deployment for regulated and sovereign environments. Air-gapped operation is not documented.

Does Straiker sit inline? Where it is deployed inline: as a guardrail in Kong AI Gateway or the LiteLLM proxy, through inference hooks on Claude Code, or through its gateway mode. SDK traces, eBPF sensors and proxy logs feed its Detection Cloud.

What does the Agentic Kill Switch do? It contains a compromised agent by revoking tools, suspending sessions, isolating it or shutting it down, for one agent or many. Straiker announced it on August 4, 2026.

Does Straiker red-team agents? Yes. Ascend AI runs adversarial tests from CI/CD and maps results to OWASP, MITRE ATLAS, NIST and EU AI Act controls.

Does Smartflow replace Straiker? No. Smartflow enforces policy inline on every call routed through it and records each decision. Nothing is discovered automatically; a call has to be pointed at the gateway.

Related reading

AI red teaming · Indirect prompt injection · MCP security · Tool poisoning · Step-up approval for AI agents · AIDA agent identity guide · Examination readiness · Air-gapped AI deployment · Smartflow vs. Onyx Security · All comparisons

Verified against each vendor's published documentation in November 2026. Vendor capabilities change. If something here is out of date, tell us and we will correct it.

Straiker sources: straiker.ai, /platform, /products/defend-ai, /products/ascend-ai, /products/discover-ai, /solution/guardrails, /solution/mcp-agent-skills-security, /solution/agentic-kill-switch, /solution/ai-compliance-governance, /solution/eu-ai-act-ai-agent-security, /solution/anthropic-claude, /solution/benchmarking, /industries/banks-and-financial-services-ai-security, /industries/healthcare-ai-security, /industries/high-tech, /partner/technology-and-channel-partners and /glossary/ai-agent-kill-switch; and Straiker's posts of November 14, 2025 (integration models), December 18, 2025 (Defend AI release), August 4, 2026 (Agentic Kill Switch) and October 13, 2026 (Gartner Hype Cycle).