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

Artificial intelligence (AI) has rapidly become indispensable to modern software development. From large language models that generate code on demand to agentic systems that automate entire workflows, ...

CMD+CTRL Security, a leader in software security training, today announced the launch of a new B2C platform that makes enterprise-grade application security training available to individual software ...

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.

Some bigger firms are using AI to embrace a classic startup mentality to quickly identify what works — and cast aside what doesn't.

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.

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

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

Artificial intelligence (AI) is the latest disruptor in technology space which is making huge impact in all industry sectors ...

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

Armis, the cyber exposure management & security company, today announced Armis CentrixTM for Application Security, which unifies application security across an organization's software development ...

Dam Secure has closed a $4M seed round led by Paladin Capital to address security risks from AI-generated code entering ...