Trust Your AI. Secure Your Enterprise.
AI agents are revolutionising enterprise workflows—but without the right safeguards, they’re a risk.
Beam9 is a security and compliance layer purpose-built for generative AI and AI agents, helping regulated organizations deploy AI confidently without compromising on privacy, trust, or regulatory obligations.
Why Unprotected AI Is a Threat in Regulated Industries
Sensitive Data Leakage
AI agents often process sensitive data like personally identifiable information (PII), protected health information (PHI), or confidential business IP. Without strong input/output controls, these agents can inadvertently expose that data in their responses.
For example, an AI assistant trained on support tickets may leak customer credit card numbers or medical details back to end users. In regulated industries, even a single incident can trigger massive fines and breach reporting obligations.
Misinformation & Hallucinations
Even well-trained models can “hallucinate”—generating false or misleading information that sounds plausible. In regulated environments, such as diagnostics or financial planning, this can result in unsafe recommendations, legal missteps, or public misinformation. For instance, a hallucinated treatment suggestion or an incorrect loan eligibility rule could lead to real-world harm.
Prompt Injection & Model Exploits
AI systems interpret natural language prompts without always verifying intent. Attackers can exploit this by crafting malicious inputs that “jailbreak” the model—bypassing filters or tricking it into providing disallowed content. This could include AI giving medical advice, revealing internal system instructions, or leaking classified information. These attacks are easy to execute and hard to trace without dedicated security controls.
Lack of Explainability
When AI makes a decision—like rejecting a loan, flagging a patient, or summarising legal terms—regulators and stakeholders often need to understand why. Without explainability, AI becomes a black box. This undermines trust, makes auditing difficult, and violates compliance mandates like GDPR’s “right to explanation.” Enterprises that can’t trace model reasoning may be held accountable for discriminatory or harmful outcomes.
Compliance Misalignment
Out-of-the-box LLMs are not built for compliance with frameworks like HIPAA, PCI-DSS, SOC 2, or GDPR. They don’t enforce content boundaries, maintain audit trails, or restrict advice generation based on user role. This leads to regulatory violations—whether it’s unauthorised health advice, retention of sensitive data in logs, or unlogged access to AI-driven decisions.
Performance Blind Spots
Most enterprises lack tools for continuous monitoring of AI behaviour. This means they can’t detect when model accuracy degrades (model drift), when biases creep in, or when unsafe outputs start appearing in production. Without real-time observability, issues can go unnoticed for weeks—leading to cumulative damage, lost trust, and regulatory exposure.
Brand, Legal & Business Risk
The culmination of these issues isn’t just technical—it’s existential. A single AI output containing false financial advice, leaked health data, or discriminatory language can erode customer trust, trigger lawsuits, and invite government scrutiny. For enterprises operating in regulated industries, the brand and legal fallout of unsafe AI can far outweigh the benefits of automation.
Built for Trust, Compliance, and Security
Beam9 is a modular AI security layer that wraps around your AI agents and LLMs, delivering real-time protection, governance, and visibility without slowing down innovation.
Who Beam9 is For
Beam9 is designed for security-conscious organizations who must meet strict regulatory standards while embracing the power of AI.
Healthcare
Finance & Insurance
Legal & Compliance
Government
AI SaaS Providers
Secure, Govern, and Monitor AI at Scale
Beam9 is designed to seamlessly slot into your AI architecture—whether you’re using OpenAI via API, deploying private LLMs, or integrating GenAI into internal tools. It provides real-time, policy-driven enforcement for every interaction between AI agents and users.
Seamless Deployment Across AI Pipelines
Compatible with All Major LLMs
OpenAI, Anthropic, Cohere, Google Vertex AI, Azure OpenAI, Hugging Face, and custom/self-hosted models.
Flexible Deployment
Cloud-native, hybrid, or fully on-prem—Beam9 supports enterprise data sovereignty needs.
Fast Time to Value
Drop-in integration with popular frameworks like LangChain, RAG pipelines, and enterprise chat interfaces.
Input/Output Filtering and Enforcement
Prompt Injection and Jailbreak Detection
Identifies adversarial prompt patterns and neutralises jailbreak attempts before they reach the model.
Sensitive Data Redaction
Detects and removes PII, PHI, or proprietary information from prompts and model outputs using NLP and regex-based detectors.
Content Restriction Rules
Blocks disallowed topics (e.g. financial advice, medical diagnoses) based on role, region, or usage context.
Output Validation
Checks AI-generated responses against known risks like hallucination, offensive content, or compliance violations.
Policy Engine and Compliance Templates
Prebuilt Compliance Profiles
Easily enforce HIPAA, SOC 2, PCI-DSS, GDPR, and other standards with industry-specific templates.
Custom Taxonomies and Role-Based Policies
Define custom rules like:”Only authorised medical staff can request diagnostic information.”
“Do not disclose investment advice unless user is verified.”
Versioning and Rollbacks
Update or roll back policy changes without redeploying services.
Observability, Drift Monitoring and Incident Alerts
Live Monitoring Dashboards
Track prompt trends, security incidents, hallucination rates, and rule violations.
Drift Detection
Alerts when model responses deviate from historical patterns or exhibit accuracy/fairness decline.
Security and Compliance Alerts
Integrates with SIEMs (Splunk, Sentinel), Slack, Teams, and email for real-time alerts on policy violations or misuse.
Audit Logs
Maintain immutable logs of all prompt-response interactions, policy enforcement decisions, and user access—ready for external audits or incident reviews.
Access Control and Deployment Governance
RBAC (Role-Based Access Control)
Define which users, teams, or systems can deploy, query, or modify AI models and policies.
Context-Based Access Policies
Dynamically restrict access based on risk level, user identity, device, location, and session context.
Multi-Tenant and Multi-Agent Support
Manage security boundaries across AI use cases, teams, or business units.
Continuous Learning and Red Teaming
Automated and Manual Pen Testing
Simulate adversarial attacks using Beam9’s built-in red teaming tools to test policy robustness.
Feedback Loops
Incorporate analyst and moderator feedback into real-time policy tuning and model reinforcement learning.
Knowledge Base Integration
Integrate with your internal sources (via RAG or vector stores) to validate facts and ground model outputs in trusted enterprise data.
AI Without Compromise
With Beam9 in place, your AI agents are:
What Industry Leaders Say About Beam9
Beam9 keeps our legal AI compliant by default.
We use AI to draft and review legal content, and Beam9 ensures guardrails are always in place. It gives us confidence in both output quality and regulatory alignment.
We rely on Beam9 for public-sector AI oversight.
Beam9 gives us real-time oversight, auditing, and policy enforcement we can’t afford to go without in the public sector.
Beam9 helps secure AI in our energy systems.
With Beam9, we can enforce strict content controls and monitor AI outputs across our energy systems, ensuring we stay secure and compliant.
Frequently Asked Questions (FAQs)
Protect Your AI. Secure Your Enterprise.
AI should empower your enterprise—not expose it. Beam9 brings trust, control, and compliance to every AI interaction.