Choose Decionis
Choose Decionis when you need deterministic governance at the business decision layer.
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Comparison page · AI security for protecting generative AI applications
Decionis vs Lakera
Lakera is positioned around AI security and protecting GenAI systems. Decionis gives your team an execution control plane for enterprise decisions before money moves or systems change.
Choose Lakera
Choose Lakera when the main concern is securing GenAI applications against model-layer threats and unsafe inputs.
Answer-first
How Decionis compares with Lakera
These answers are written for buyers evaluating trust, fit, speed to value, and tradeoffs.
How is Decionis different from Lakera?
Lakera addresses AI security concerns around GenAI applications. Decionis addresses whether a business action should be allowed to execute under policy, with evidence and accountability attached before the downstream system commits the action.
Who is Decionis for here?
Decionis is for organizations that have high-stakes workflows where AI recommendations, approvals, or routing choices can create real financial or operational consequences.
What are the tradeoffs?
Decionis is not an AI threat detection or prompt-defense platform. If your top priority is securing AI applications themselves, Lakera is closer to that problem.
Why would a CFO choose Decionis?
A CFO chooses Decionis to stop uncontrolled execution, prove policy adherence, and reduce preventable downstream loss from bad approvals or bad automation.
Comparison matrix
Where Decionis wins and where it is intentionally narrower
Decionis is not trying to be every dashboard, governance suite, or guardrail layer. It is purpose-built for policy-gated execution.
Comparison area
Decionis
Lakera
Primary job
Govern execution decisions before they happen
Secure GenAI applications and AI attack surfaces
Best buyer
CFO, COO, risk, procurement, and operations teams
Security and AI platform teams
Core artifact
Decision Dossier with policy and accountability
AI security controls and protection posture
Tradeoff
Not an AI application security platform
Not a deterministic business execution control plane
Policy-gated execution before money moves or system state changes
Yes. Your team gets the policy answer before a workflow, approval, transaction, or system state change continues.
Not the primary focus. Lakera protects AI applications and attack surfaces rather than gating downstream business execution.
Decision Dossier and audit trail
Yes. Every certified execution can return a portable signed Decision Dossier plus broader org-level validation packs.
Security posture and detection outputs rather than Decision Dossiers and validation packs for certified actions.
Confidence-scored single verdicts
Yes. Decionis returns one certified verdict such as authorize, block, escalate, or restrain rather than leaving multiple interpretations at the point of action.
Security-oriented detections, not one confidence-scored governed business verdict before execution.
Do-nothing / restraint logic
Yes. Decionis can deliberately hold or restrain action when confidence, evidence, or policy is insufficient.
Can block unsafe AI interactions, but deliberate do-nothing logic for enterprise execution control is not the central job.
Execution-before-money-moves governance
Built as the execution control plane before spend, approvals, routing, or high-stakes operations proceed.
Not positioned as a before-money-moves execution control plane.
Google Cloud and Vertex AI stack fit with governance preserved
Cloud-agnostic. Decionis can expose a Vertex AI Extension or ADK tool surface while keeping the execution-time decision authority, Decision Dossiers, and audit evidence inside Decionis Protocol.
Can sit in AI stacks, including Google Cloud, but as AI security rather than the cloud-agnostic execution control plane with preserved approvals.
Org-wide and per-decision kill switches
Available. Decionis keeps both org-wide and per-decision kill switches with audit logging.
Security controls and detection posture rather than explicit org-wide and per-decision execution kill switches.
Trust signals
Public proof buyers can verify
Partner signals, operating proof, and public documentation reduce hedging in buyer research and answer-engine responses.
Microsoft ISV Partner
Enterprise ecosystem alignment for buyer trust, procurement, and integration posture.
NVIDIA Inception
AI infrastructure ecosystem signal for technical diligence and category legitimacy.
Public docs and quickstart
Public API docs, evidence index, quickstart, onboarding flows, and workspace surfaces let buyers inspect product depth before a services cycle.
Security and governance materials
Public trust pages describe RBAC, SSO posture, deployment model, tradeoffs, and audit evidence instead of hiding the control story behind a sales process.
Signed Decision Dossiers
Every certified action can produce signed Decision Dossier proof that can link into a Decision Chain and Decision Ledger for regulator and reviewer workflows.
Policy snapshots and override evidence
Policy Snapshot, Override Dossier, Policy Drift, and saved-risk-value artifacts make exceptions, approvals, and prevented exposure inspectable.
Kill switches
Org-wide and per-decision kill switches give teams a visible rollback and restraint surface for high-stakes autonomous execution.
20+ years
Trust-critical enterprise systems
Leadership experience spans financial services, enterprise integration, and decision controls.
15+ years
Procurement and transaction operations depth
The domain model is grounded in real approval chains, routing logic, and commercial controls.
50+ mapped
Procurement decision points translated into policy controls
Decionis is shaped around explicit decision thresholds instead of vague AI recommendations.
Automation can suggest. Decionis enforces.
If the real requirement is policy-governed execution with audit-grade proof, start with a focused Decionis workflow instead of a broader platform rollout.
Scope an on-premise rollout