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Wingback Security

Agent Detection & Response across every layer of your AI stack to detect drift in agent behavior

See every agent, model, and MCP server you run, and stop the ones that misbehave while they are still running.

One agent inventory across the three places AI runs.

Wingback watches every agent across infrastructure, your own software, and endpoints, and surfaces the one that is misbehaving.

  1. INFRASTRUCTURE

    LIVE

    Cloud, SaaS, data stores

    • Amazon Bedrock
    • Salesforce Agentforce
    • Snowflake
    • Databricks

    scanning 142 agents

  2. SOFTWARE

    LIVE

    The agents you ship

    • OpenAI
    • Anthropic
    • Google Gemini
    • Hugging Face

    scanning 87 agents

  3. ENDPOINTS

    LIVE

    Laptops and local tools

    • Claude Code
    • Cursor
    • GitHub Copilot
    • VS Code
    • ChatGPT

    scanning 41 agents

Continuous scan · every one

Forward-deployed security for enterprise AI.

Our engineers embed with your team and wire Wingback into your exact stack, so coverage keeps pace with your AI footprint.

  • Custom integration

    Wired into your exact stack.

    We integrate with your IdP, MCP servers, agent frameworks, and data stores, not generic plugins. Wingback adapts to your stack, not the other way around.

  • Tailored detections

    Detection logic shaped to your environment.

    Playbooks written for your apps, your agents, your data, not boilerplate rules built for a different company's threat model.

  • Keep pace with AI

    New tool today? Covered today.

    When your team adopts a new agent, MCP server, or model, Wingback wires it into your security posture within days, not quarters.

  • Embedded engineers

    AI security engineers on your team.

    Direct Slack channel, hands-on tuning, joint incident response. Not a vendor portal, a teammate working in your environment.

  • Day-one outcomes

    Wins before the kickoff dust settles.

    Visibility across every agent, blocked exfiltration attempts, and audit-ready evidence, landing in week one rather than quarter four.

  • Continuous adaptation

    Evolves with your stack.

    New threats, new tools, new compliance rules. Coverage updates continuously, driven by what we see across customers and what is specific to you.

What Wingback does, end to end.

Five capabilities covering the agent lifecycle: discovery, inference security, runtime defense, adversarial testing, and continuous governance.

Inventory the AI stack

Auto-discover agents, models, prompts, and MCP servers, with identity, tool scope, and data lineage.

  • 47 agents
  • 18 MCP servers
  • 12 data stores
Read more: Inventory the AI stack
wingback / discovery / inventorylive
agents
mcp
data
agents in scope
47 total
support-bot-v3
read247 calls
analytics-bot
read89 calls
invoice-agent
read+write34 calls
deploy-bot
prod-write12 calls
rag-indexer
read512 calls
sales-copilot
read+write118 calls
1,284 assets across 3 clouds and 214 laptopslast sync just now

Secure inference

Token-level policy at the gateway, the model provider, and the inference path, across every provider you run.

  • 7 providers
  • 312 redactions
  • 12 egress blocks
Read more: Secure inference
wingback / gateway / inference pathlive
inference path
agent
sends prompt
gateway
token policy, 4 redactions
inference
OpenAI, gpt-5
egress
exfil scan, 1 block
agent
receives response
model fleet
all under one policy
OpenAIgpt-54,824/s
Anthropicclaude-4-71,218/s
Bedrockclaude-4-7903/s
Vertexgemini-2612/s
Azuregpt-5418/s
Mistralmixtral184/s
Self-hostedin-house-llm47/s
tokens / 24h
8.4M
redactions
312
egress blocks
12
47.2M tokens this week across 7 providerspolicy v24, enforcing

Defend at runtime

Block, sanitize, throttle, or kill a session while the attack is still running, then keep the evidence.

  • 84 ms to detect
  • 4 of 5 signals
  • contained
Read more: Defend at runtime
wingback / runtime / session ses-2841live
0.00suser asked for a password reset by email
0.12ssupport-bot-v3 fetched user.profile from postgres
0.24ssupport-bot-v3 read user message, pattern scan
0.31swingback.detector prompt injection, score 0.94
0.42ssupport-bot-v3 mcp/email.send to an external inbox
0.50swingback.runtime BLOCKED: policy POL-204
time to detect
84 ms
signals matched
4 / 5
containment
complete
support-bot-v3, LangChain, us-east-184 ms to detect

Red team your agents

Adversarial campaigns against your models, agents, and RAG pipelines. Every validated finding compiles into a runtime guard.

  • 1,843 attempts
  • 15 techniques
  • 4 findings
Read more: Red team your agents
wingback / red team / campaign rt-118live
adaptive campaigns
frontier access, prohibited-use guardrails on
support-bot-v3LangChain, gpt-53 findings
842 attempts
cursor-pair-1Cursor, claude-4-71 finding
613 attempts
rag-indexerin-house, pgvectorrunning
388 attempts
sales-copilotAgentforcequeued
queued
1,843 attempts across 4 agents this weekevery finding compiled to a guard

Govern continuously

One control map across SOC 2, ISO 27001, ISO 42001, NIST AI RMF, and the EU AI Act, with evidence ready for audit.

  • 5 frameworks
  • 20 controls
  • 94% coverage
Read more: Govern continuously
wingback / governance / soc 2live
controls
18 pass, 2 warn
CC1.2
CC2.1
CC3.3
CC4.1
CC5.2
CC6.1
CC6.2
CC6.3
CC6.6
CC6.7
CC6.8
CC7.1
CC7.2
CC7.3
CC7.5
CC8.1
CC8.2
CC9.1
CC9.2
CC7.4
coverage
94%
evidence, continuous
policy-grants.json
2,847 entries, signed
session-replays.tar
412 sessions, 30 days
redteam-rt-118.pdf
4 findings, guards linked
AUDIT-READY
one control map across 5 frameworkslast export 3 min ago

Questions security teams ask first.

Something else? Talk to our team.

See what your agents are doing. Stop what they shouldn't.

A forward-deployed engineer wires Wingback into your stack and shows you what it sees, live.