AUTONOMOUS SYSTEMS & MCP SPECIALIST

Agentic AI
Security.

Secure systems that can decide and act. When AI moves from answering questions to executing actions across APIs, databases, and infrastructure, manipulation leads to real-world financial and operational damage.

The Agentic Defense Formula:

Red Teaming + IAM + Monitoring + Architecture

Agentic security cannot be solved by one control alone. We secure the complete decision and execution chain.

HARDENED TOOL DISPATCHER BLUEPRINTPython 3.12
class HardenedToolDispatcher:
    def __init__(self, iam_client, policy_engine):
        self.iam = iam_client
        self.policy = policy_engine

    def dispatch(self, agent_id: str, tool: str, args: dict, user_jwt: str):
        # 1. Enforce user RBAC delegation on every tool call
        user_context = self.iam.validate_delegation(user_jwt, agent_id)
        if not user_context.can_execute(tool):
            raise UnauthorizedActionError(f"User {user_context.uid} lacks privilege for {tool}")

        # 2. Enforce deterministic Human-in-the-Loop on high-impact tools
        if self.policy.is_high_impact(tool):
            mfa_token = args.get("mfa_confirmation_token")
            if not self.iam.verify_mfa_token(mfa_token, user_context.uid):
                raise ApprovalRequiredError(f"Tool {tool} requires out-of-band user MFA signature.")

        # 3. Sanitize parameters against rigid JSON schema
        clean_args = self.policy.validate_schema(tool, args)
        return self._execute_sandboxed(tool, clean_args)
Gate: Deterministic Human MFAZero Unverified Execution
Deliverables

What We Deliver for Agentic Workloads

Comprehensive testing across Reason → Choose → Act loops, third-party MCP servers, and multi-agent topologies:

1Agent Topology & Privilege Boundary Map
2MCP Security & Tool Vulnerability Assessment
3Confused Deputy & Delegation Exploit Traces
4Hardened Dual-Token Authorization Blueprint
5Agent Security Regression Test Harness

Engagement Parameters

Duration:2 to 4 weeks
Standard Investment Band:$25,000 – $60,000
Founding Deal (1/3 Price):$8,300 – $20,000
Scope an Agentic Security Engagement →
Interactive Scope & Pricing Estimator

Scope Your AI Security Engagement

Configure your production AI architecture to calculate recommended testing depth, duration, and Founding Deal pricing.

⚡ 1/3 Price for First 5 Clients
3. High-Risk Integration Factors
RECOMMENDED ENGAGEMENT:Navira Security AI Red Teaming + Agentic IAM
Est. Duration: 3 to 4 Weeks

Scope Focus: Full-Stack Adversarial Testing, MCP Schema Audit, Delegated IAM Boundaries & 45-Day Retest.

Standard Scope Price:$25,000 – $50,000
⚡ Founding Client Deal (1/3 Price):$8,300 – $16,500 (1/3 Price)
Included: ✓ 45-Day Retest Guarantee2 of 5 Founding Spots Remaining

Confidential intake. Protected under Navira Security Standard Mutual NDA. Direct communication with [email protected].