Security stops attacks.
We govern performance.

Security platforms protect agents from threats — sold to CISOs. Prefactor ensures agents do their job correctly — sold to AI leaders. Different buyers, different problems.

Capability Security Platforms Prefactor
Threat detection (prompt injection, jailbreaks) ✓ —
Shadow agent discovery ✓ —
Security posture management ✓ —
Outcome quality assessment — ✓
Cost efficiency governance — ✓
Scope adherence enforcement — ✓
Inline blocking & approval routing — ✓
Immutable audit log Partial ✓
Agent registry & lifecycle Partial ✓

Different teams, different problems

Security platforms assume an adversary is trying to exploit the agent. Governance assumes the agent itself may drift — producing wrong outputs, exceeding budgets, or operating outside its approved scope. An agent can pass every security check and still be a governance failure.

Regulated enterprises deploy both layers because these are independent failure modes. The two systems are complementary, not competitive.

Aim Security AI security posture management and shadow AI discovery. Read comparison → Lakera Real-time prompt injection detection and LLM firewall. Read comparison → Prisma AIRS AI runtime security integrated into the Palo Alto platform. Read comparison → Zenity Agent security and governance for enterprise copilots. Read comparison →

Security and governance are both required

If you already deploy an AI security platform, Prefactor adds the operational governance layer — performance assessment, cost tracking, and structured human-in-the-loop controls.

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Reviewed against public sources on March 19, 2026 Suggest a correction