One Platform for
All Your Agents
Develop, deploy, govern, and operate AI agents in business-critical environments with full observability, security, and compliance from day one.
Get in TouchAgent Management Suite
Everything you need to monitor, manage, and improve your agents at scale.
Dashboards
Real-time visibility into agent activity, latency, cost, and quality signals with business-level reporting.
Registry
A central agent registry with clear ownership, metadata, and lifecycle management across your entire agent portfolio.
Sessions
Full conversations grouped in sessions enabling resolution rate, escalation tracking, and time-to-close reporting.
Traces
Detailed, immutable records of each agent run including tool calls, model invocations, timing, errors, and token usage.
Performance
Summarize agent behavior over time and surface drift, regressions, or emerging risks before they impact users.
Prompt & Content
Version, review, and roll back prompts without redeploying. Centralize approved knowledge like FAQs, policies, and playbooks.
Built-in Tools & Integrations
Connect to the models, databases, cloud providers, and channels your agents already depend on.
Bring Your Own Agent
The platform does not mandate a specific agent framework, runtime, or vendor. Instead, it defines clear standards for security, identity, and observability that any agent must meet to operate on the platform.
- Managed identity or service-account-based authentication
- Health endpoints and structured logging
- Explicitly declared ingress and egress
- Guardrails against prompt injection, PII leakage, and misuse
Requirements are validated during onboarding and periodically re-checked, allowing organizations to adopt best-of-breed tools while maintaining consistent oversight.
Agent Registry
Customer Support Agent
LangChain
Document Analyst
CrewAI
Sales Copilot
Semantic Kernel
Code Review Bot
Custom
HR Onboarding Agent
AutoGen
Security & Privacy
Privacy & Data Protection
Privacy and data protection are foundational principles of the platform, not optional add-ons.
- •Clear ownership and purpose definition for all datasets
- •Data minimization, no unnecessary free-text PII
- •Enforced data classification with approved storage and retention rules
- •Least-privilege access control with role separation
- •Encryption in transit and at rest; secrets in secure key management only
- •External AI providers tightly controlled, only minimal required data shared
- •Full GDPR lifecycle: retention, deletion, and data subject requests
Cloud-Native Security
Defense-in-depth and zero-trust principles across all supported environments.
- •Single public ingress with WAF, DDoS mitigation, and TLS
- •Databases, internal services, and secrets never exposed to the public internet
- •Network segmentation and private endpoints to reduce blast radius
- •Managed identities and scoped IAM roles, no static credentials
- •Centralized logging, monitoring, and security analytics
- •Reference architectures for Azure, GCP, AWS, Elastx, on-premises, and open-source
OWASP Top 10 Coverage
Evaluated against established OWASP guidance across three critical domains.
Agentic Applications
- Excessive agent autonomy
- Rogue agent behavior
- Supply-chain vulnerabilities
- Human-in-the-loop approvals
- Kill switches
Large Language Models
- Prompt injection
- Sensitive data disclosure
- Sandboxing & isolation
- Least privilege access
- Continuous red-teaming
Model Context Protocols
- Input/output validation
- Tool permission boundaries
- Comprehensive logging
- Data minimization
- Secure transport
Platform Architecture
A full-stack architecture with clearly defined layers, forming a complete enterprise agent solution.
Teams
Web Chat
Apps
Your Agents
Algorithma Agents
Third-Party Agents
Agent Brain & Orchestration
Tools, Skills & Integrations
LLMs & Embeddings
Databases & Storage
Data Protection
Gateway & WAF
Logging
Analytics
Governance
Your Systems of Record
Roadmap
Making AI agents as governable, auditable, and business-aligned as any other enterprise system.
Deeper Quality Evaluation
Automated scoring, regression detection, and benchmark tracking for every agent interaction.
Stronger Feedback Loops
Closed-loop learning where agent outputs feed directly back into improvement cycles.
Incident & Escalation Workflows
Structured processes for handling agent failures, escalations, and corrective actions.
Improved Identity & Access Management
Finer-grained controls over agent permissions, delegation, and service-account governance.
Enhanced Compliance Support
Expanded audit trails, data residency controls, and regulatory reporting.
Copilot Integration
Tighter integrations with platforms such as Microsoft Copilot and similar ecosystems.
Ready to take control of your agents?
Let's discuss how the Algorithma Agent Platform can bring governance, observability, and trust to your AI operations.
Get in Touch