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POLICY MANAGEMENT

GitOps Policies

Define, version, and manage security policies as code. Integrate with your existing Git workflows for peer review, automated validation, and instant rollback.

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The GitOps Workflow

From code to production in four simple steps

01
Edit
Define rules in simple YAML files
02
Commit
Push changes to your Git repository
03
Review
Peer review via Pull Requests
04
Deploy
Automated validation and rollout
GitHubGitLabBitbucket
Git Platforms
Native integration with GitHub, GitLab, and Bitbucket. Webhooks trigger automatic policy validation.
GitHub ActionsJenkinsCircleCI
CI/CD Pipelines
Embed policy checks in your CI/CD workflows. Block deployments that violate security rules.
SlackMicrosoft TeamsPagerDuty
Notifications
Real-time alerts to Slack, Teams, or PagerDuty when policies are updated or violated.

Manage AI Security Like Code

Bring software engineering discipline to your AI security policies.

Version-Controlled Policies

Store AI security policies in Git repositories with complete history, ownership, and change tracking.

Review & Approval Workflows

Require security reviews before policies affect production AI systems.

Environment-Based Deployment

Promote policies across development, staging, and production environments.

Policy Rollback

Instantly revert policy changes when unexpected behavior occurs.

Audit History

Track who changed policies, what changed, and when enforcement rules were updated.

Policies That Control AI Behavior

Define exactly how AI agents interact with your systems and data.

Agent Access Policies

Control which agents can access specific tools and systems.

MCP Tool Policies

Define which MCP servers and tools agents are allowed to execute.

Data Protection Policies

Prevent sensitive information from being exposed during AI interactions.

Risk-Based Policies

Apply stronger controls based on identity, context, and risk level.

Policy as Code

Simple YAML syntax for powerful security rules

ai-security-policy.yaml
version: v1metadata:name: production-ai-policiesdescription: Security policies for AI agentsrules: - name: block_prompt_injectioncondition: "request.content contains 'ignore previous'"action: denyseverity: critical- name: redact_piicondition: "request.content matches email_regex"action: redactseverity: high- name: rate_limit_agentscondition: "agent.requests_per_minute > 100"action: throttleseverity: medium
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TRUST & COMPLIANCE

Built for the frameworks your auditors care about

SAILLENT produces the cryptographic, exportable evidence regulated teams need — across the US, Canada, and Europe. Explore compliance tooling →

SOC 2 Type II United States
DESIGNED FOR
Trust Services Criteria controls
ISO 27001:2022 European Union
DESIGNED FOR
Information security controls
GDPR European Union
CAPABILITIES FOR
EU data protection requirements
HIPAA United States
CAPABILITIES FOR
Healthcare privacy controls
NIST AI RMF United States
ALIGNED WITH
AI risk management framework
ISO/IEC 42001 European Union
ALIGNED WITH
AI management systems
OSFI E-23 Canada
RELEVANT TO
Financial AI oversight requirements
SR 11-7 United States
RELEVANT TO
Model risk management requirements
Saudi PDPL Saudi Arabia
CAPABILITIES FOR
Kingdom personal data protection law
SDAIA AI Governance Saudi Arabia
ALIGNED WITH
National data & AI authority guidance
SAMA Fintech Oversight Saudi Arabia
RELEVANT TO
Saudi Central Bank fintech supervision
UAE PDPL United Arab Emirates
CAPABILITIES FOR
Federal Decree-Law 45/2021 data protection
CBUAE AI Guidance United Arab Emirates
RELEVANT TO
UAE Central Bank AI governance for finance
ADGM FSRA United Arab Emirates
RELEVANT TO
Abu Dhabi Global Market financial regulation
China PIPL China
CAPABILITIES FOR
Personal Information Protection Law
MLPS 2.0 China
RELEVANT TO
Multi-Level Protection Scheme cybersecurity

Capability claims only — formal certifications & attestations in progress · Technical evidence available under NDA

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