PamStealer combines social engineering, native macOS functions, and Rust-based payloads to masquerade as a system process and steal passwords and clipboard contents.
Most enterprises run AI inference in production without adapting their security and governance structures accordingly – a growing risk for critical systems.
German companies neglect implementation of AI security measures while attackers already operate via identities and access paths instead of classic gateway attacks.
Attackers use legal system tools instead of malware to remain invisible — CISOs must align their detection logic to behavioral anomalies and access controls.
The reduction of SSL certificate validity periods to 200, then 100, then 47 days requires complete automation – missing concepts lead to outage risks, increased personnel workload, and DNS security vulnerabilities.
Formal compliance requirements such as NIS2 or DORA are necessary but not sufficient — organisations that rely on documentation and certifications overlook the reality of attack scenarios and operational failure risks.
Vera automates security testing for autonomous AI agents through a three-stage process of risk discovery, combinatorial generation, and evidence-based verification, uncovering critical security flaws in production agent frameworks.
The NIS2 Directive requires millions of enterprises to implement new cybersecurity standards from July onwards, significantly expanding the scope of affected organizations.
Autonomous AI agents are vulnerable to hidden prompt injections in web content, and safety training provides insufficient protection – particularly critical for agents with financial or process permissions.
