From 9b38ec65f6eb9c1541156cdf63850556c5eca4bc Mon Sep 17 00:00:00 2001
From: Shiva Guntoju <shguntoj@cisco.com>
Date: Wed, 22 Apr 2026 14:29:18 +0530
Subject: [PATCH 1/2] docs(integrations): add Cisco AI Defense integration page

Add documentation for the Cisco AI Defense plugin for Google ADK,
providing runtime LLM and MCP tool inspection with monitor and enforce
modes. Includes logo asset and code examples for both plugin and
callback approaches.

Resolves #1665

Made-with: Cursor
---
 docs/integrations/assets/cisco-ai-defense.png | Bin 0 -> 17570 bytes
 docs/integrations/cisco-ai-defense.md         | 177 ++++++++++++++++++
 2 files changed, 177 insertions(+)
 create mode 100644 docs/integrations/assets/cisco-ai-defense.png
 create mode 100644 docs/integrations/cisco-ai-defense.md

diff --git a/docs/integrations/assets/cisco-ai-defense.png b/docs/integrations/assets/cisco-ai-defense.png
new file mode 100644
index 0000000000000000000000000000000000000000..5425016436584294530e1ede987f382d626d2d03
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diff --git a/docs/integrations/cisco-ai-defense.md b/docs/integrations/cisco-ai-defense.md
new file mode 100644
index 0000000000..59d236b98f
--- /dev/null
+++ b/docs/integrations/cisco-ai-defense.md
@@ -0,0 +1,177 @@
+---
+catalog_title: Cisco AI Defense
+catalog_description: Runtime LLM and MCP tool inspection for ADK agents with monitor and enforce modes
+catalog_icon: /integrations/assets/cisco-ai-defense.png
+catalog_tags: ["security"]
+---
+
+# Cisco AI Defense for ADK
+
+<div class="language-support-tag">
+  <span class="lst-supported">Supported in ADK</span><span class="lst-python">Python</span>
+</div>
+
+[Cisco AI Defense](https://www.cisco.com/site/us/en/products/security/ai-defense/index.html) is an ADK plugin that integrates runtime LLM and MCP tool inspection directly into the ADK Runner lifecycle. It inspects user prompts before model calls, model outputs after generation, and MCP tool call requests/responses — then allows or blocks based on configurable security policies.
+
+## Use cases
+
+- **Runtime protection for Gemini calls**: Inspect user prompts before model calls and model outputs after generation, then allow or block based on policy (Monitor or Enforce).
+- **Tool and MCP call inspection**: Inspect tool call requests before execution and tool responses after execution, and block unsafe tool behavior in Enforce mode with clear metadata.
+- **Auditable decision trace and alerts**: Capture decision context (action, severity, classifications, request_id/event_id) and optionally trigger an `on_violation` callback for monitoring and incident response.
+
+## Prerequisites
+
+- [Cisco AI Defense](https://www.cisco.com/site/us/en/products/security/ai-defense/index.html) account and API key
+- Python >= 3.10
+- [Google ADK](https://google.github.io/adk-docs/) >= 1.0.0
+
+## Installation
+
+```bash
+pip install cisco-aidefense-google-adk
+```
+
+Set the `AI_DEFENSE_API_KEY` environment variable (and `AI_DEFENSE_MCP_API_KEY` for tool inspection).
+
+## Quick start
+
+The fastest way to add Cisco AI Defense to any ADK agent — one line:
+
+```python
+from aidefense_google_adk import defend
+
+agent = defend(agent, mode="enforce")
+```
+
+Or get a plugin for the entire app:
+
+```python
+from aidefense_google_adk import defend
+
+plugin = defend(mode="enforce")
+app = App(name="my_app", root_agent=agent, plugins=[plugin])
+```
+
+## Use with agent — Plugin approach
+
+Use `CiscoAIDefensePlugin` to apply inspection globally to all agents in a Runner:
+
+```python
+from google.adk.agents import LlmAgent
+from google.adk.apps import App
+from google.adk.runners import Runner
+from google.adk.sessions import InMemorySessionService
+
+from aidefense_google_adk import CiscoAIDefensePlugin
+
+agent = LlmAgent(
+    model="gemini-2.5-flash",
+    name="assistant",
+    instruction="You are a helpful assistant.",
+)
+
+app = App(
+    name="my_app",
+    root_agent=agent,
+    plugins=[
+        CiscoAIDefensePlugin(mode="enforce"),
+    ],
+)
+runner = Runner(app=app, session_service=InMemorySessionService())
+```
+
+## Use with agent — Callback approach
+
+Use `make_aidefense_callbacks` to wire inspection into a specific agent:
+
+```python
+from google.adk.agents import LlmAgent
+from aidefense_google_adk import make_aidefense_callbacks
+
+cbs = make_aidefense_callbacks(mode="enforce")
+
+agent = LlmAgent(
+    model="gemini-2.5-flash",
+    name="assistant",
+    instruction="You are a helpful assistant.",
+)
+cbs.apply_to(agent)  # wires all 4 callbacks
+```
+
+## Modes
+
+Mode | Behavior
+---- | --------
+`monitor` | Inspect all traffic, log violations, never block (default)
+`enforce` | Inspect all traffic, block requests/responses that violate policy
+`off` | Skip inspection entirely
+
+Modes can be set globally or per-channel:
+
+```python
+CiscoAIDefensePlugin(
+    mode="monitor",          # default for both
+    llm_mode="enforce",      # override for LLM only
+    mcp_mode="off",          # override for tools only
+)
+```
+
+## Callbacks covered
+
+ADK Callback | What it inspects
+------------ | ----------------
+`before_model_callback` | User prompt before LLM call
+`after_model_callback` | LLM response after generation
+`before_tool_callback` | Tool call request before execution
+`after_tool_callback` | Tool call result after execution
+
+## Violation callback
+
+Receive notification of every violation regardless of mode:
+
+```python
+def handle_violation(result):
+    print(f"Violation: {result.action} / {result.severity}")
+
+CiscoAIDefensePlugin(
+    mode="monitor",
+    on_violation=handle_violation,
+)
+```
+
+## Inspector-based variant (agentsec)
+
+For automatic retry with exponential backoff, fail-open/fail-closed semantics, and structured `Decision` objects, use the Inspector-based variant:
+
+```python
+from aidefense_google_adk import AgentsecPlugin
+
+app = App(
+    name="my_app",
+    root_agent=agent,
+    plugins=[
+        AgentsecPlugin(
+            mode="enforce",
+            fail_open=True,
+            retry_total=3,
+            retry_backoff=0.5,
+        ),
+    ],
+)
+```
+
+Or at the per-agent level:
+
+```python
+from aidefense_google_adk import make_agentsec_callbacks
+
+cbs = make_agentsec_callbacks(mode="enforce", fail_open=True)
+cbs.apply_to(agent)
+```
+
+## Resources
+
+- [GitHub Repository](https://github.com/cisco-ai-defense/ai-defense-google-adk)
+- [PyPI Package](https://pypi.org/project/cisco-aidefense-google-adk/)
+- [Cisco AI Defense](https://www.cisco.com/site/us/en/products/security/ai-defense/index.html)
+- [cisco-aidefense-sdk on PyPI](https://pypi.org/project/cisco-aidefense-sdk/)

From cd93a987fb98f36458e7df66a1198eaea654591e Mon Sep 17 00:00:00 2001
From: Kristopher Overholt <koverholt@google.com>
Date: Mon, 27 Apr 2026 17:32:42 -0500
Subject: [PATCH 2/2] Formatting and copy edits

---
 docs/integrations/cisco-ai-defense.md | 76 ++++++++++++++++-----------
 1 file changed, 44 insertions(+), 32 deletions(-)

diff --git a/docs/integrations/cisco-ai-defense.md b/docs/integrations/cisco-ai-defense.md
index 59d236b98f..c088019077 100644
--- a/docs/integrations/cisco-ai-defense.md
+++ b/docs/integrations/cisco-ai-defense.md
@@ -1,29 +1,42 @@
 ---
 catalog_title: Cisco AI Defense
-catalog_description: Runtime LLM and MCP tool inspection for ADK agents with monitor and enforce modes
+catalog_description: Security guardrails to monitor or block agent prompts and tool calls
 catalog_icon: /integrations/assets/cisco-ai-defense.png
-catalog_tags: ["security"]
 ---
 
-# Cisco AI Defense for ADK
+# Cisco AI Defense plugin for ADK
 
 <div class="language-support-tag">
   <span class="lst-supported">Supported in ADK</span><span class="lst-python">Python</span>
 </div>
 
-[Cisco AI Defense](https://www.cisco.com/site/us/en/products/security/ai-defense/index.html) is an ADK plugin that integrates runtime LLM and MCP tool inspection directly into the ADK Runner lifecycle. It inspects user prompts before model calls, model outputs after generation, and MCP tool call requests/responses — then allows or blocks based on configurable security policies.
+[Cisco AI
+Defense](https://www.cisco.com/site/us/en/products/security/ai-defense/index.html)
+is an enterprise AI security platform that provides runtime guardrails to
+protect against threats like prompt injection, data leakage, and harmful
+content. The [ADK
+plugin](https://github.com/cisco-ai-defense/ai-defense-google-adk) integrates
+these guardrails directly into the ADK Runner lifecycle: it inspects prompts,
+model responses, and tool calls, then allows or blocks them based on configurable
+security policies.
 
 ## Use cases
 
-- **Runtime protection for Gemini calls**: Inspect user prompts before model calls and model outputs after generation, then allow or block based on policy (Monitor or Enforce).
-- **Tool and MCP call inspection**: Inspect tool call requests before execution and tool responses after execution, and block unsafe tool behavior in Enforce mode with clear metadata.
-- **Auditable decision trace and alerts**: Capture decision context (action, severity, classifications, request_id/event_id) and optionally trigger an `on_violation` callback for monitoring and incident response.
+- **Runtime protection for model calls**: Inspect user prompts before model
+  calls and model outputs after generation, then allow or block based on policy
+  (`monitor` or `enforce`).
+- **Tool and MCP call inspection**: Inspect tool call requests before execution
+  and tool responses after execution, and block unsafe tool behavior in
+  `enforce` mode with clear metadata.
+- **Auditable decision trace and alerts**: Capture decision context (action,
+  severity, classifications, request_id/event_id) and optionally trigger an
+  `on_violation` callback for monitoring and incident response.
 
 ## Prerequisites
 
 - [Cisco AI Defense](https://www.cisco.com/site/us/en/products/security/ai-defense/index.html) account and API key
 - Python >= 3.10
-- [Google ADK](https://google.github.io/adk-docs/) >= 1.0.0
+- [ADK](https://adk.dev) >= 1.0.0
 
 ## Installation
 
@@ -31,11 +44,14 @@ catalog_tags: ["security"]
 pip install cisco-aidefense-google-adk
 ```
 
-Set the `AI_DEFENSE_API_KEY` environment variable (and `AI_DEFENSE_MCP_API_KEY` for tool inspection).
+Set the `AI_DEFENSE_API_KEY` environment variable (and `AI_DEFENSE_MCP_API_KEY`
+for tool inspection).
 
-## Quick start
+## Use with agent
 
-The fastest way to add Cisco AI Defense to any ADK agent — one line:
+### Quickstart
+
+Add Cisco AI Defense to any ADK agent with a single line:
 
 ```python
 from aidefense_google_adk import defend
@@ -52,9 +68,10 @@ plugin = defend(mode="enforce")
 app = App(name="my_app", root_agent=agent, plugins=[plugin])
 ```
 
-## Use with agent — Plugin approach
+### Global plugin
 
-Use `CiscoAIDefensePlugin` to apply inspection globally to all agents in a Runner:
+Use `CiscoAIDefensePlugin` to apply inspection globally to all agents in a
+Runner:
 
 ```python
 from google.adk.agents import LlmAgent
@@ -65,7 +82,7 @@ from google.adk.sessions import InMemorySessionService
 from aidefense_google_adk import CiscoAIDefensePlugin
 
 agent = LlmAgent(
-    model="gemini-2.5-flash",
+    model="gemini-flash-latest",
     name="assistant",
     instruction="You are a helpful assistant.",
 )
@@ -80,7 +97,7 @@ app = App(
 runner = Runner(app=app, session_service=InMemorySessionService())
 ```
 
-## Use with agent — Callback approach
+### Per-agent callbacks
 
 Use `make_aidefense_callbacks` to wire inspection into a specific agent:
 
@@ -91,7 +108,7 @@ from aidefense_google_adk import make_aidefense_callbacks
 cbs = make_aidefense_callbacks(mode="enforce")
 
 agent = LlmAgent(
-    model="gemini-2.5-flash",
+    model="gemini-flash-latest",
     name="assistant",
     instruction="You are a helpful assistant.",
 )
@@ -100,6 +117,8 @@ cbs.apply_to(agent)  # wires all 4 callbacks
 
 ## Modes
 
+The plugin supports three operating modes:
+
 Mode | Behavior
 ---- | --------
 `monitor` | Inspect all traffic, log violations, never block (default)
@@ -110,24 +129,16 @@ Modes can be set globally or per-channel:
 
 ```python
 CiscoAIDefensePlugin(
-    mode="monitor",          # default for both
-    llm_mode="enforce",      # override for LLM only
-    mcp_mode="off",          # override for tools only
+    mode="monitor",      # default for both
+    llm_mode="enforce",  # override for LLM only
+    mcp_mode="off",      # override for tools only
 )
 ```
 
-## Callbacks covered
-
-ADK Callback | What it inspects
------------- | ----------------
-`before_model_callback` | User prompt before LLM call
-`after_model_callback` | LLM response after generation
-`before_tool_callback` | Tool call request before execution
-`after_tool_callback` | Tool call result after execution
-
 ## Violation callback
 
-Receive notification of every violation regardless of mode:
+Use the `on_violation` callback to receive notifications for every violation in
+both `monitor` and `enforce` modes:
 
 ```python
 def handle_violation(result):
@@ -139,9 +150,10 @@ CiscoAIDefensePlugin(
 )
 ```
 
-## Inspector-based variant (agentsec)
+## Retry and fail-open support
 
-For automatic retry with exponential backoff, fail-open/fail-closed semantics, and structured `Decision` objects, use the Inspector-based variant:
+For automatic retry with exponential backoff, fail-open/fail-closed semantics,
+and structured `Decision` objects, use the `AgentsecPlugin` variant:
 
 ```python
 from aidefense_google_adk import AgentsecPlugin
@@ -169,7 +181,7 @@ cbs = make_agentsec_callbacks(mode="enforce", fail_open=True)
 cbs.apply_to(agent)
 ```
 
-## Resources
+## Additional resources
 
 - [GitHub Repository](https://github.com/cisco-ai-defense/ai-defense-google-adk)
 - [PyPI Package](https://pypi.org/project/cisco-aidefense-google-adk/)