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 is positioned around policy-governed execution for enterprise decisions.
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.
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 governance tool. 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
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 claims registry
Published evidence links for capabilities, partner signals, and implementation scope.
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.
AI 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 a pilot