AI and Machine Learning in Security
Taking Stock of Identity Solutions in the Age of AI
Security pros can use ITDR and DCI in conjunction to combat security threats in the age of AI ...
Elon’s CSAM FAIL: Twitter Fined by Australian Govt.
Straya strikes back: Musk’s mob declines to answer questions, breaking law dunundah ...
How to Combat ‘Pig Butchering’ Scams with Decision Intelligence
Ever since people started exchanging goods and services, there has been a risk of one party scamming the other. And there has always been a risk of a third party scamming both ...
AI More Helpful Than Harmful in Cybersecurity
The majority of of IT security managers see the use of AI in security tools as helpful rather than a threat they must defend against ...
Generative AI: Cybersecurity’s Ally or Adversary?
While generative AI offers significant benefits, security professionals must remain vigilant to effectively use the tech for cybersecurity ...
Don’t Say ‘Skynet’ — NSA’s AI Security Center is New Hub for Agency Efforts
COME WITH ME IF YOU WANT TO LIVE: Nothing suspicious to see here—move along ...
Types of Adversarial ML Attacks and How To Overcome Them
Machine learning-powered algorithms are susceptible to a variety of adversarial attacks that aim to degrade their performance ...
AI Data Consumption and Analysis are a Cybersecurity Force Multiplier
Cybercriminals are creating smarter attacks using AI’s ability to increase its own knowledge as it consumes data. Data analysis can help ...
Sourcegraph’s Shocking Screwup: Private Secrets in Public Repo
Credentials create crisis: AI source code navigation LLM leaks PII after DevOps SNAFU ...
How to Sidestep Generative AI Cybersecurity Risks
Current generative AI tools are already helping criminals develop malware strains, scan for vulnerabilities, breach passwords and phish network insiders. Here's how to manage the risks ...