Cisco Previews AI Defenses to Cloud Security Platform
Set for release in March, Cisco AI Defense will provide algorithmic red teaming of large language models with technology that came over as part of the Robust Intelligence acquisition last year.
Acquisitions can change ownership of security teams, systems, and data, creating risks around access, integration, compliance, and incident response.
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Background for this topic.
An acquisition is the purchase of a company, business unit, or technology by another organization, transferring control of its people, systems, and data. In information security, the event matters because the buyer may inherit unfamiliar networks, cloud services, software, credentials, suppliers, and unresolved security issues.
Before integration, security due diligence should identify exposed systems, critical vulnerabilities, active threats, prior incidents, and obligations governing personal or regulated data. After closing, teams must control access between environments, remove unnecessary accounts, verify asset ownership and logging, and bring inherited systems into vulnerability-management and monitoring processes. Connecting legacy infrastructure too quickly can create new attack paths, while poorly planned changes can hinder detection or incident response. Privacy and compliance reviews should confirm that data use, retention, and cross-border transfers remain lawful under the combined organization.
Set for release in March, Cisco AI Defense will provide algorithmic red teaming of large language models with technology that came over as part of the Robust Intelligence acquisition last year.
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