At a time when many enterprises are accelerating agentic AI adoption, BMC Helix is focused on safely advancing AI innovation and efficiency. AI is no longer confined to isolated applications; it’s deeply integrated into the tools, applications, and digital landscapes that influence every aspect of business and services. As enterprises build more AI models and use more AI solutions, it’s important to ensure governed execution to minimize risk, keep business secure, and most importantly, protect enterprise value.
Building trust and ensuring compliance
- Policy-driven controls for defining what Helix AI agents can and cannot do through configurable policies.
- Transparent decision logging to capture every AI action with the reasoning that led to it for audit and analysis.
- Graduated autonomy support for full autonomous actions alongside human-approved change implementations.
- Role-based oversight to give different stakeholders different views of the AI system.
Helix AI agents are grounded in enterprise knowledge, integrating references for trust and variability with tight human oversight. Most importantly, Helix conducts comprehensive security testing to protect enterprises against vulnerabilities unique to AI and LLM systems so customers can scale agentic AI for service and operations management with confidence.
Guardrails for your Helix AI agents
While we provide domain-specific AI agents out of the box, our customers are empowered to build and customize their own new AI agents in BMC Helix Agent Studio. BMC Helix Zero Trust Guardrails is an integrated AI agent and LLM security and governance capability for Agent Studio, incorporating several of the risks identified by the Open Web Application Security Project (OWASP) into the agent creation process to help minimize and mitigate security risks. New and customized AI agents created with Agent Studio inherit the same guardrails as standard Helix AI agents.
Key features and capabilities include:
- Prompt and output validation: The Helix platform enforces strict input validation and filtering to detect and block malicious prompt injections. It also manages all LLM-generated content, treating it as untrusted data until it has been properly validated and sanitized to prevent downstream vulnerabilities.
- Principle of least privilege enforcement: Following software development best practices, this ensures that LLM agents and related extensions operate with the minimum necessary permissions required for their specific function, thereby reducing the impact of excessive agency or unauthorized actions.
- Data provenance and integrity checks: This feature tracks the origin of training data and model versions, as in AIOps scenarios, using cryptographic hash functions to prevent data poisoning or tampering attacks that occur within the supply chain.
- Configurable guardrails and human oversight: It helps establish independent security guardrails outside the LLM to enforce compliance, as system prompts alone are vulnerable to attack. Human-in-the-loop controls can also be mandated for high-risk actions.
Protecting enterprise value
Agentic AI delivers its greatest value when it operates within an operational system of context, workflows, and governance. To accelerate and deepen defense, Helix is combining multiple controls to mitigate prompt injection, data poisoning, and sensitive information disclosure, alongside dashboards and governance within Agent Studio’s configuration and build flow.
This approach ensures IT operations and management teams can continue to build and run AI agents safely without exposing sensitive information or jeopardizing compliance. It’s about protecting enterprise value while improving business outcomes and experiences.
Kruger, K. (2022, October 11). 5 reasons why MiVoice Business is the ideal foundation for effective collaboration. Mitel. https://www.mitel.com/blog/5-reasons-why-mivoice-business-is-the-ideal-foundation-for-effective-collaboration