COGNNA Agentic AI SOC vs Cygeniq AI: Side-by-Side Comparison (2026)

COGNNA Agentic AI SOC

Mid-market and enterprise SOCs drowning in alert volume will find real value in COGNNA Agentic AI SOC's automated incident response; it collapses the time between detection and mitigation by letting AI agents handle triage and containment without human intervention. The platform covers four of NIST CSF 2.0's core functions (Continuous Monitoring, Adverse Event Analysis, Incident Management, and Mitigation), with particular strength in the Detection and Response functions. Skip this if your team needs deep forensic capabilities or investigation-led workflows; COGNNA prioritizes speed over depth, which works only if you're willing to trust autonomous remediation decisions.

Cygeniq AI

Mid-market and enterprise security teams wrestling with AI model vulnerabilities alongside traditional threat detection should evaluate Cygeniq AI for its dual focus; most vendors pick a lane, but Cygeniq addresses both Security for AI and AI for Security in one platform. The vendor's NIST CSF 2.0 alignment spans Detect and Identify functions, with particular strength in continuous monitoring and risk assessment, though governance advisory is the differentiator here over pure detection tools. Skip this if your organization needs mature incident response automation or extensive integrations with existing SIEM tooling; at 28 employees and founded in 2024, Cygeniq is still building out those connectors. The GenAI-driven risk advisory engine is genuinely useful for compliance teams, but don't expect it to replace your human threat analysts.