Description
SAILLENT is an enterprise AI Action Firewall designed to provide runtime security and policy enforcement for autonomous AI agents, Large Language Models (LLMs), and Model Context Protocol (MCP) integrations. It offers real-time security, auditing, and governance capabilities, ensuring compliance with regulatory frameworks such as SR 11-7 and OSFI E-23 without impeding innovation.
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The core function of SAILLENT's AI Action Firewall is to evaluate AI-generated actions before they are executed against tools, APIs, data, or infrastructure. This creates an enforcement boundary between autonomous AI agents and the systems they control, applying deterministic policies to either allow or block actions at runtime. Unlike traditional LLM guardrails that filter text inputs and outputs, SAILLENT operates at the execution layer, intercepting and blocking unauthorized tool calls and API actions before they can impact external systems, thus providing deterministic, policy-as-code enforcement.
The platform addresses critical security concerns in AI environments, including data leakage at scale, dangerous tool execution, prompt injection attacks, and a lack of visibility into AI operations. SAILLENT protects AI systems through features like prompt injection protection, PII (Personally Identifiable Information) shielding, robust tool enforcement, a powerful policy engine, and a comprehensive audit trail. It is built to produce cryptographic, exportable evidence required by regulated teams across the US, Canada, and Europe.
SAILLENT offers various pricing plans based on protected capacity rather than user count, including Enforcement, Zero-Trust, Governance, and Enterprise tiers. These plans vary in protected actions per month (from 1 million to custom), protected nodes (up to 10 to custom), audit trail retention, deployment options, and support levels. For instance, the Enterprise plan, starting at $150,000+/yr, offers custom capacity, VPC/on-prem deployment, custom SLAs, and dedicated security engineering. All subscriptions are annual and automatically renew, with pricing in Canadian dollars (CAD) unless specified otherwise. SAILLENT does not charge surprise overage fees and offers a 14-day money-back guarantee.
SAILLENT integrates with various components of the AI stack, including Model Context Protocol (MCP), HTTP/JSON enforcement interfaces, OpenAI-format model routes, Anthropic-format model routes, and agent frameworks like LangChain and CrewAI. It acts as an enforcement layer, complementing existing identity and access management (IAM) systems and API gateways, rather than replacing them. The runtime can be deployed in self-hosted, customer VPC, or on-premises environments, offering flexibility for data residency and security requirements. SAILLENT's architecture ensures that models remain with their providers and identity controls are managed through existing systems, while its policies define permitted actions and enforcement depends on configured rules and covered requests.
- CategoryAI Cybersecurity Tools
- Pricing ModelAnnual Subscription
- DeploymentSelf-hosted, VPC, On-prem
- PlatformsWeb
SAILLENT's Core Features
Enterprise AI Action Firewall
Runtime Security and Policy Enforcement
Real-time Auditing and Governance
SR 11-7 and OSFI E-23 Compliance
Deterministic Policy Enforcement
Prompt Injection Protection
PII Shield and Redaction
Tool Enforcement
Policy Engine with GitOps workflows
Comprehensive Audit Trail
Capacity-based Pricing
Self-hosted and VPC/On-prem Deployment Options
Integration with MCP, OpenAI, Anthropic, LangChain, CrewAI
SIEM Export
SSO / RBAC
How to use SAILLENT?
Connect: Configure a supported application, provider, or tool interface to route requests through the SAILLENT runtime.
Inspect: The runtime processes request information and evaluates it against applicable policies.
Enforce: SAILLENT returns an allow-or-deny decision based on configured policy and runtime behavior.
Record: The runtime records policy decisions and associated audit information for investigation and review.
Manage Policies: Define and manage security policies using structured YAML, supporting GitOps-oriented workflows.
Monitor Usage: Track protected actions and nodes in the SAILLENT management dashboard to manage capacity.
Review Compliance: Utilize exportable evidence and reporting for regulatory frameworks like SR 11-7 and OSFI E-23.
SAILLENT's Use Cases
- Secure AI Agent Actions
- Prevent Data Leakage
- Mitigate Prompt Injection
- Ensure Regulatory Compliance
- Govern LLM Integrations
- Audit AI Operations
- Control Tool Execution
- Centralized AI Policy Management
