Identity
Agents, workflows, tools, models, and channels act as governed principals
Authentication can stay with your identity provider while runtime actions execute through governed identities and bounded runtime controls.
Security
Secure agents before they act.
Atellagent gives enterprise security and platform teams runtime control before modles, agents, and workflows act on tools, channels, and downstream systems. Policy is evaluated before side effects occur, and evidence stays tied to the governed outcome.
That includes model-access governance, prompt and response safeguards, detector-assisted review, and attributable evidence for what was allowed, denied, or narrowed.
Control Surfaces
What teams need to verify first.
Security review should begin with the governed runtime boundary itself: who can act, how decisions are made, and what evidence remains attached afterward.
Policy
Requested actions are evaluated in context before downstream systems are touched
Atellagent evaluates action requests against identity, workflow state, runtime context, and policy instead of relying on coarse static permissions alone.
Evidence
Decision context and resulting side effects stay attributable
Operators can inspect what was attempted, which policy path applied, what was allowed or denied, and which side effect or response outcome followed.
Model Security
Govern model access, prompts, and released outputs in the same control path.
Model security works best when it stays attached to identity, runtime policy, and downstream consequence rather than living as a separate filtering layer.
Model Access
Control which models are allowed for which workloads
Gate model access by identity, workload, environment, and policy instead of spreading provider logic through applications.
Prompt Risk
Apply detector-driven controls where prompt risk matters
Use prompt-injection and related detectors where runtime decisions need more than static allowlists.
Response Release
Check returned outputs before trust is extended
Use response-side enforcement when model output must be reviewed, narrowed, or denied before it is released downstream.
Custom Detectors
Bring your own detector models or classifiers
Add organization-specific controls for IP, trade-secret, and other sensitive content without creating a separate review system around them.
Operational Rollout
Start with reviewable decisions, then tighten into enforcement.
Security teams do not need to begin with day-one blocking. Start with governed visibility, validate decisions against real workloads, then move higher-confidence paths into enforcement.
1
Evaluate in advisory mode
Run decisions in shadow or reviewable mode first so operators can see what would have been allowed, denied, or narrowed.
2
Review evidence and false positives
Use attributable runtime evidence to understand where policy, detector thresholds, or model controls need adjustment.
3
Tighten by action class or risk surface
Turn policy up where confidence is high instead of treating all agent actions as equally risky from the start.
4
Move high-confidence paths into enforcement
Block or narrow the paths that are operationally understood first, then expand that posture over time.
Investigation And Review
Review what happened, why it happened, and what followed.
Investigation continuity should survive model changes, policy changes, and short-lived telemetry without losing the decision trail.
Action Review
Review what action was attempted
See the governed action in the same record as the decision and the resulting runtime outcome.
Identity And Policy
Review which identity and policy profile applied
Trace the decision back to the acting principal and the policy path that shaped it.
Detector Signals
Review which detector or risk signal contributed
Inspect how detector-driven controls influenced model access, response release, or other governed outcomes.
Outcome
Review what side effect or response outcome followed
Keep the decision record tied to the real effect so later review does not collapse into disconnected logs.
Read the Architecture page for the deep execution model, then schedule a technical review.
The Architecture page covers the runtime boundary, deployment modes, and policy system in depth. A technical review can then focus on enforcement, detectors, evidence, and compliance-oriented questions.