Log4j usage is widespread, with billions of Java-enabled systems out there and is trivially easy to exploit. Here are key strategies to better protect your organization in both the short and long term.
Russian hackers have been kicking up ransomware attacks to exploit new work habits leaves many companies needing to rethink how they approach security.
Ransomware operators have long targeted systems and data availability of their victims, and have been evolving their attack patterns to include the privacy and confidentiality of victim data as well. Attackers are increasingly pushing for double and sometimes triple extortion of their victims.
A strong identity management strategy involves monitoring user behavior and activity, verifying user identity with strong authentication solutions and cybersecurity education and awareness.
Use of privacy enhancing technology is becoming increasingly critical and especially in industries where accelerating regulations are limiting business functions.
With an increase in legislation, the privacy landscape is a moving target for brands. Businesses are diverting precious resources away from improving personalization relevance to maintaining global privacy compliance. The two shouldn’t be working against each other.
In the aftermath of the Cambridge Analytica scandal, many have suggested that Facebook be regulated, fined and perhaps even broken up. After all, if the FTC were to invoke its full power, it could theoretically levy hundreds of millions of dollars of fines, crippling Facebook. But is a big tech company too big to fail?
Recent Imperva survey found that nearly half of security professionals said they could implement an insider attack if they wished to. Insider threats remains one of the top cybersecurity threats to businesses.
Complexity of data privacy compliance is significantly increased by growing cloud adoption rates. A delegated governance model based on a centralized platform with decentralized policy implementation overcomes these difficulties.
The Google GDR fine has demonstrated that most historical data, analytics & AI, and decentralized processing is illegal under the GDPR. Companies must focus on more than consent to legally process analytics and AI when those processes cannot be described with the required specificity and voluntariness at the time of data collection.
