AI Security | Breaking Cybersecurity News | The Hacker News

As AI continues to make inroads into enterprise security, it's easy to see the appeal: faster triage, smarter detection, and fewer manual workflows. From SOAR platforms streamlining alerts to AI-enhanced identity systems approving access requests in milliseconds, the value proposition is clear — greater efficiency, speed, and scale. But here's the rub: speed without scrutiny can lead to security drift. AI is a powerful enabler, not an autonomous guardian. And in corporate security — where stakes include sensitive employee data, internal intellectual property, and privileged infrastructure — the absence of human oversight isn't just risky; it's potentially catastrophic. AI as a Copilot, Not a Commander In modern corporate security environments, AI-driven tooling is increasingly embedded into day-to-day operations. Triage systems leverage AI to correlate alerts, automation scripts to remediate routine issues, and IAM platforms auto-approve low-risk access. These advancements undenia...

With thousands of endpoints, cloud instances, remote users, and third-party integrations, securing the enterprise has become a massive target. Each change in the IT environment - whether driven by digital transformation, M&A activity, or routine system updates - creates new opportunities for adversaries to leverage. Yet, the network is the backbone of business operations. It must always be available to support production, collaboration, and growth.  In this article, we'll explore the specific challenges large enterprises face when validating their security posture and how leading security teams are evolving their testing strategies to match the scale, speed, and sophistication of large, multi-faceted IT networks.  The Challenges of Validating Enterprise Network Security Enormous attack surface - In large enterprises, the attack surface spans countless assets across on-prem, cloud, and hybrid environments, making comprehensive security validation incredibly complex. Ac...

Data Resilience is No Longer Optional Even in 2025, over half of all businesses suffer devastating data loss from ransomware attacks, configuration errors, or system crashes — yet only 15% of enterprises treat SaaS data backup as a strategic priority. While that number is projected to surge to 75% by 2028 , many organizations today overlook this critical component and risk falling dangerously behind or worse.  Data protection is more than an IT issue, and it takes more than your standard backup solution to reconcile this problem. As threats evolve rapidly, data protection is now an essential strategic priority. Businesses must respond by building resilient, cloud-native backup strategies that ensure data stays protected, available, and uncompromised, no matter the circumstances. Breaking Free from Legacy Constraints with SaaS-Driven Flexibility The modern enterprise landscape has transformed. Hybrid and multi-cloud environments have overcome their once-trendy labels, having b...

AI-Powered Development is Creating a Non-Human Identity Crisis: Here's What CISOs Need to Know in 2025 While coding assistants like GitHub Copilot have revolutionized developer productivity, they've simultaneously created an explosion of machine identities that are overwhelming traditional security approaches. Between 2023 and 2024 alone, the number of repositories using Copilot increased by 27%, confirming that developers are increasingly relying on AI tools to enhance their productivity. This acceleration shows no signs of slowing in 2025, as GitHub now offers Copilot as part of its free offering, further lowering barriers to adoption. However, this AI revolution comes with significant security implications. According to GitGuardian's State of Secrets Sprawl 2025 , repositories where Copilot is active exhibit a 40% higher incidence of secret leaks compared to the average public repository. This alarming statistic reveals that as AI accelerates development, it's s...