A new ISSA/Omdia study finds widespread AI adoption in cybersecurity, but security professionals say growing complexity, burnout, skills shortages, and business pressures are making the profession more challenging than ever.
Security leaders have spent years optimizing detection and response while relying on spreadsheets, tribal knowledge, and reseller relationships to make million-dollar technology decisions. A new generation of AI-powered platforms aims to change that. (Sponsored by Crush Security.)
Zero Trust was designed to control people and machines. The rise of autonomous AI agents is forcing security teams to extend those same principles to software capable of making decisions and taking action on its own. (Includes infographic)
At CYBR.HAK.CON, Jason Haddix showed how AI-powered "hackbots" are helping offensive security teams scale reconnaissance, analyze complex applications, and uncover real vulnerabilities, while proving that human expertise remains the deciding factor.
But it might be your company’s problem.
In this week's CYBR.SEC.Media newsletter: preview of CYBR.HAK.CON, why traditional Level 1 SOC operations are breaking down under modern threat pressure, and where cybersecurity professionals can find mental health support built for the realities of the job.
Federal agencies and tech providers are accelerating AI security programs but organizations responsible for water systems, emergency services, and local government operations are struggling to keep pace. (Article includes an infographic to help security teams understand the operational challenges.)
Executives think their teams are fixing critical vulnerabilities. Their security practitioners disagree by 42 percentage points.
The hype over Anthropic Mythos and AI in general has been super-heated. The cybersecurity voices who calmly unpack the details are the ones to follow. Here are some examples.
A new Dbt Labs survey of 363 data practitioners finds 72% are sprinting into AI-assisted coding while fewer than one in four invest in the pipeline controls that keep those outputs secure — and the practitioners closest to the data are more worried about it than their bosses.
The AI-driven “vulnerability storm” isn’t just a technical problem—it’s a human breaking point, and the Mythos report’s authors are right to elevate burnout from a side issue to a frontline risk.
A coalition of cybersecurity heavyweights has issued an emergency playbook for surviving the AI-driven “vulnerability storm” — and it makes clear that speed, automation, and collective defense are now existential requirements.
As AI-driven threats collapse the time to exploit, this infographic distills a rapid-response playbook from leading cybersecurity experts on how defenders must adapt fast.
Using AI in the editorial process can be weird. But in an educational way -- whether you're a writer, an image designer or a cybersecurity practitioner.
The agentic AI governance gap is a fundamental enterprise weakness. Sixty-three percent of organizations lack AI governance policies, according to IBM's research. This creates a complete lack of any meaningful organizational control over these deployments.
