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From rigid playbooks to adaptive agent decisions.
From playbooks to agent decisions.
Generic frameworks like LangGraph and CrewAI were designed for general-purpose AI. Alaris agents interpret security context, reason across signals, and execute multi-step responses with full observability and guardrails. What used to take 45 minutes now happens in seconds, deterministically.
- Purpose-built for security, not adapted from general-purpose AI frameworks
- Every reasoning step logged and visible, no black-box decision-making
- Agents run continuously with guardrails scoping each to authorized actions
A system of specialists, not a single model.
You don't deploy one AI. You deploy a network of purpose-built agents that each do one thing extremely well. Together, they replace entire security workflows, from triage to containment, running in parallel across every signal.
- Triage Agent validates alerts; Investigation Agent builds attack timelines
- Correlation Agent connects signals across systems; Response Agent executes containment
- Agent-to-agent handoffs carry full context so nothing is lost at transition boundaries
Every decision backed by real evidence from your environment.
Decisions backed by real evidence.
Agents query your Security Graph directly with sub-minute context retrieval, no API boundary or data loss. They correlate live telemetry and map threat intelligence to your specific assets and identities. Every finding includes the full evidence chain, deterministic and auditable.
- Native Security Graph access with zero external dependencies
- Deterministic behavior producing consistent, auditable results
- Full evidence chain traceable from alert to conclusion for compliance review
Your data never leaves your environment.
Zero external dependencies. Alaris runs on private LLM instances with complete control within your environment. Your security data is never sent to public model APIs, never used to train third-party models, and never processed outside your isolated compute zone.
- Zero external dependencies, complete control within your environment
- Private LLM instances on dedicated infrastructure, not shared public APIs
- All agent inference runs inside your isolated compute environment
The engine running every agent, invisibly and continuously
The engine behind every agent
Works with your existing stack
+ 100 more integrations
See the AI Agent Framework working across your environment.
See the Agent Framework in action.
Watch how Alaris agents triage, investigate, and respond in real time.
Agents triage, investigate, and respond in real time.
The difference between rules and agents
Legacy SIEM rules and manual detection scripts cap at your team's capacity. Alaris agents scale with your environment, not your headcount.
Agents scale with your environment, not your headcount.
Build the security agent your team actually needs
Access the same infrastructure powering every built-in Alaris agent. Write custom detection, investigation, and response logic, with Security Graph access, threat intel, and full audit trails built in.