Generative AI can lift immediate performance, but when it is used without guardrails it may weaken durable learning, memory, and autonomy.
AppViewX’s new Agent Identity Security launch shows how non-human identities are becoming a control problem, not just a convenience problem, as AI systems and long-term cryptographic planning collide.
Artificial intelligence is no longer a side topic for cyber teams - it is a control surface that can strengthen defenses, reshape attacker workflows, and force security leaders to rethink trust.
A newly funded company is pushing autonomous AI into third-party risk management, where the real test is not speed but control, auditability, and permission boundaries.
The company has launched Agent Identity Security, a product aimed at discovering, governing, securing, and monitoring AI agents with a native PKI foundation.
A new survey links broader AI adoption with more frequent incidents, pointing less to machine intelligence itself than to the need for tighter governance, monitoring, and response discipline.
The shift from low-code and no-code into AI-assisted orchestration is changing who can build software, but it is also changing what must be trusted, reviewed, and contained.
A policy push to loosen restrictions on Anthropic’s latest AI models is drawing attention to a bigger issue: who gets to use frontier systems that can help both defenders and attackers.
Health systems are discovering that biased datasets can turn a promise of personalization into a quieter form of exclusion.
A dispute over Anthropic’s most advanced models has become a test of whether frontier AI should be locked down for safety or opened up for cyber defense.
The push to let AI agents trigger orders, planning, and logistics promises speed, but it also turns business software into a high-value control plane that must be tightly governed.
A reported Copilot flaw tied to SearchLeak shows how enterprise AI can become a bridge between ordinary permissions and highly sensitive authentication data.
Agentic AI is no longer just a productivity slogan: it is a design shift that can reshape work, brand control, customer experience, and how decisions are delegated inside companies.
The newest application-security pitch is not about choosing between static analysis and AI, but about wiring them together so one finds problems and the other helps developers fix them faster.
Enterprise AI is moving from experiments to operations, but many teams still cannot inventory who built what, what data it touches, or what it can do next.