// PebBlo safe agent

MCP Security in Action

See how agent context becomes executable and
how Pebblo Safe Agent governs it in real time.

Pebblo Safe Agent

As AI agents move from experimentation to production, Model Context Protocol (MCP) has become the control plane for agentic workflows. MCP servers aggregate tickets, documents, messages, databases, and SaaS APIs into a single stream of context that agents reason over and act upon.

That shift changes the security model fundamentally.

Agents do not just fetch data. 
They interpret it, plan with it, and execute actions based on it.

This means context itself becomes executable.

// Challenges

Why Traditional Security Fails

Traditional security assumes a clear boundary between data and instructions. MCP collapses that boundary. A Jira ticket, a document paragraph, or a database field can silently influence agent behavior. As MCP adoption grows, three security questions become unavoidable:

Can context be weaponized
to control an agent?

Can agents leak sensitive
data simply by doing their job?

How do you govern agents when static rules are incomplete or wrong?

// ANSWERS

These three demos answer those questions. Together, they represent the core pillars of MCP security:

Context integrity

(preventing prompt injection and hidden intent)

Data protection

(controlling what agents can see and share)

Behavioral governance

(detecting unsafe agent behavior in real time)

Pebblo Safe Agent is built around these exact pillars.

MCP Bleed: Context as an Attack Vector

What this validates

MCP can be exploited by hiding instructions inside otherwise normal data.

A Jira ticket is poisoned with prompt-like commands.

An agent retrieves it via MCP and executes the instructions as part of its reasoning process.

Security insight

This is not a bug in the agent.
It is a consequence of treating aggregated context as trusted input.

Pebblo Safe Agent enforces

Prompt and instruction sanitization

Runtime intent validation

Inline blocking and audit logging

Episode 2

MCP DLP: When Helpful Becomes Harmful

What this validates

Even without an attacker, agents can leak data.

An agent retrieves a ticket with PII.

It follows references or makes a data access request it is not entitled to, pulling confidential documents from other systems.

Security insight

Agents optimize for task completion, not data minimization.

Without guardrails, over-collection and over-sharing are inevitable.

Pebblo Safe Agent enforces

Dynamic redaction of structured data

Policy-based blocking of sensitive documents

Full visibility into MCP tool calls

Episode 3

Guardian Agent: Governing Agents, Not Just Access

What this validates

Static controls alone cannot govern agent behavior.

RBAC is often missing, overly broad, or outdated.

Agents operate across long chains of actions and changing context.

Security insight

Governing agents requires reasoning, not just rules.

Pebblo Safe Agent introduces

Static guardrails for identity, posture, and content

A Guardian Agent for real-time, intent-aware access control

Detection of risky actions even when technically allowed

Pebblo Safe Agent

As AI agents move from experimentation to production, Model Context Protocol (MCP) has become the control plane for agentic workflows. MCP servers aggregate tickets, documents, messages, databases, and SaaS APIs into a single stream of context that agents reason over and act upon.

That shift changes the security model fundamentally.

Agents do not just fetch data. They interpret it, plan with it, and execute actions based on it.

This means context itself becomes executable.

Why These Three Matter Together

These are not isolated problems.

MCP security fails if any one of these is ignored.

Pebblo Safe Agent addresses all three, inline, at the MCP layer where agent context and action intersect.

Prompt injection compromises agent control

Data leakage compromises enterprise trust

Missing governance compromises long-term safety

// Solution

Pebblo Safe Agent by Daxa

Built for real agentic workflows, not theoretical threats.

Secure MCP gateway and proxy

Context-aware prompt and data protection

Agent-focused access control

Continuous behavioral oversight

MCP Security in Action

Pebblo Safe Agent

Why Traditional Security Fails

These three demos answer those questions. Together, they represent the core pillars of MCP security:

Pebblo Safe Agent is built around these exact pillars.

MCP Bleed: Context as an Attack Vector

What this validates

Security insight

Pebblo Safe Agent enforces

MCP DLP: When Helpful Becomes Harmful

What this validates

Security insight

Pebblo Safe Agent enforces

Guardian Agent: Governing Agents, Not Just Access

What this validates

Security insight

Pebblo Safe Agent introduces

Pebblo Safe Agent

Why These Three Matter Together

Pebblo Safe Agent by Daxa

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