AI agents – task-specific models designed to operate autonomously or semi-autonomously given instructions — are being widely implemented across enterprises (up to 79% of all surveyed for a PwC report earlier this year). But they're also introducing new security risks. When an agentic AI security breach happens, companies may be quick to fire employees and assign blame, but slower to identify and fix the systemic failures that enabled it.Forrester’s Predictions 2026: Cybersecurity and Risk predicts that the first agentic AI breach will lead to dismissals, adding that geopolitical turmoil and the pressure being put on CISOs and CIOs to deploy agentic AI quickly, while minimizing the risks.CISOs are in for a challenging 2026Those in organizations who compete globally are in for an [...]
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]
While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% [...]
In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]
Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedro [...]
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at ma [...]
Hybrid cloud security was built before the current era of automated, machine-based cyberattacks that take just milliseconds to execute and minutes to deliver devastating impacts to infrastructure. The [...]