Enterprise-grade security hardening for AI agents and LLM-powered applications.
We help organisations reduce risk across Claude, Bedrock, and other agentic AI deployments by strengthening guardrails, tool permissions, MCP integration controls, identity, logging, rate limits, and production governance.
AI agents can read data, call tools, execute workflows, and interact with internal and external systems. Without robust controls, they create significant operational, security, and compliance risk.
Malicious inputs can hijack your agent's behaviour, bypassing instructions and executing unintended actions.
Without access controls, agents can leak sensitive data to external services, APIs, or malicious actors.
Unbounded API calls and model requests can drain your budget in hours without proper rate limits and cost caps.
Third-party skills and plugins can introduce supply-chain vulnerabilities if not properly vetted and sandboxed.
We offer fixed-scope baseline assessments, targeted hardening engagements, and ongoing advisory support. All work is scoped according to your environment, risk profile, and compliance requirements.
Initial baseline assessment and hardening engagement. Initial reviews can often be completed quickly depending on scope, with broader hardening work tailored to architecture complexity and operational requirements.
Continuous monitoring and hardening as threats evolve. Available as a flexible advisory engagement aligned to your delivery and governance needs.
We support secure enterprise adoption of Anthropic Claude and related agentic AI patterns, including direct API integrations, Bedrock-based deployments, and tool-enabled workflows.
1-hour strategic call to understand your agent, use case, and security requirements.
Remote audit of your configuration, tools, credentials, and access controls.
Implement allowlists, approval gates, logging, rate limits, and cost caps.
Full documentation, team training, and validated security controls.
The same security rigour we apply at major financial institutions — tailored to AI agent and LLM deployments of any scale.
We will review your current AI agent configuration and provide an initial findings summary outlining key risks, control gaps, and recommended next steps.
Book an Initial Review Call →We will review your current architecture, existing controls, security priorities and determine the right scope for assessment or ongoing advisory support.
Or email us directly:
contact@mjlnet.com