Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

The new challenge for CISOs in the age of AI developers is securing code. But what does developer security awareness even ...

Attackers are increasingly using AI to generate adaptable malware that can evade traditional defenses, making familiar security playbooks less reliable by the day.

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an autonomous entity to be unleashed.

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

From technical compromise to AI-driven attacks, cyber criminals increasingly see software developers as prime targets, creating systemic risks CISOs must address.

Ideally, security issues should be identified during the coding process. That is the goal of Checkmarx Developer Assist ...

Zast.AI has raised $6 million in funding to secure code through AI agents that identify and validate software vulnerabilities ...

New Delhi, By the end of 2024, around one-third of newly written blocks of computer programs in the US took support from AI systems gains in productivity, however, went to seasoned programmers, ...

Cyber threats are growing at an unprecedented pace. In 2024 alone, global cyber threat losses reached an estimated US$9.5 trillion, and this figure is projected to rise even further in 2025. If ...