Industries · Technology
Cybersecurity for Technology
Technology companies move fast, ship frequently, and often adopt AI capability ahead of the security practices to match it. Engineering velocity and security discipline don't have to be in tension, but they usually are without deliberate investment.
Where risk concentrates
AI features shipped without an AI-specific threat model
Engineering teams with broad, unaudited cloud and production access
Dependency and supply-chain risk across a fast-growing codebase
Insider risk and credential sprawl across a large number of internal tools
Attack surface
Cloud infrastructure, internal engineering tooling, production data access, and, increasingly, AI features and agents with access to real systems and data.
Regulatory considerations
Varies by product and market, but GDPR, sector-specific requirements, and increasingly customer-driven compliance expectations (SOC 2, ISO 27001) apply to most technology companies operating at scale.
Business impact
Technology companies are often trusted with disproportionate access to customer systems and data. A breach doesn't just affect the company itself but every customer whose trust was placed in that access.