Why cybersecurity needs hybrid AI, not platform consolidation
Artificial intelligence has transformed enterprise cybersecurity into a machine-speed quickdraw contest.
Today, threat actors routinely use AI and automation to launch sophisticated, multi-stage campaigns that exploit gaps between disconnected security tools.
Once inside a network, modern attacks move laterally across cloud environments, endpoints, and applications within minutes.
Because defensive windows have shrunk from hours to seconds, security teams must rely on AI-driven analytics to correlate threat telemetry and trigger automated remediation before a breach spreads.
To achieve this coordination, many organizations are aggressively pursuing platform consolidation. The logic is simple: by replacing a fragmented patchwork of niche security vendors with a single, unified security platform, a Security Operations Centre (SOC) can centralize its data, simplify management, and orchestrate automated responses more fluidly.
While consolidation can simplify things, it also changes an organization's risk profile. When multiple layers of cybersecurityare interconnected through a single vendor’s control plane, dependencies build up....
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