Forrester Warns AI Risks Could Test Enterprise Resilience in 2027
Summary
Forrester’s 2027 predictions warn that AI-related software flaws, poorly governed model changes and physical disruptions could threaten enterprise resilience. The article highlights staged deployments, rollback plans, human oversight and preparation for incident costs.
Key points
- Forrester predicts an AI-generated software flaw or regression could cause a major outage; the article cites staged deployments and rollback plans as ways to limit the impact of flawed updates.
- The firm predicts an AI-related negligence lawsuit could prompt a leadership change, emphasizing human judgment and the ability to explain how consequential decisions were made.
- Forrester expects security-related AI token spending to reach $1.5 billion in 2027, with security operations and application security leading usage.
- The article warns that routing requests to an untested model from another provider to reduce costs could introduce different safeguards and risks.
- Forrester says a natural disaster could disrupt a critical service and trigger a NIS2 reporting violation; the article notes that significant disruptions must be reported within 24 hours.
- The article recommends resilience between environments and coordination among security, IT and facilities teams to contain failures and manage disruptions.
Article Details
- Event Type
- Forrester Research’s 2027 cybersecurity and risk predictions
- Impact
- The report warns that AI-related software flaws or regressions could cause major outages, AI-assisted decisions could lead to executive liability, and model switching could weaken safeguards and contribute to a data breach. It also forecasts rising security token costs and warns that natural disasters could disrupt critical services and trigger NIS2 reporting violations. The article describes predictions and risks, not confirmed incidents.