Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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Air Gap Backup: Enhancing Data Security

As cyber threats grow more complex, companies increasingly look for strong methods to protect their valuable information. Air gap backup has become an effective approach to improve data security and shield against various risks. This technique creates a separation between main data storage and backup systems, either physically or logically, which greatly reduces the chances of unauthorized access or data corruption.

Protecting Sensitive Data with Office 365 Data Loss Prevention

Managing and Safeguarding data is becoming more complex with more cyber threats piloting daily. Organizations are facing constant risk of accidental errors or intentional hacking of sensitive information. Cyber enthusiasts have come up with a one-stop solution to prevent any such damage to data, known as Data Loss Prevention solutions or DLP. It is a crucial tool in the battle of keeping data safe and mitigating any risk.

GitGuardian's FP Remover Dramatically Reduces False Positive In Scans

Do you hate false positives in your secrets scan results? We do too. GitGuardian has introduced a whole new approach to eliminating false positives, eliminating them by around 50% so far. And we are just getting started! GitGuardian's Machine Learning experts and Secret Detection team have created "FP Remover", a new in-house machine learning model that significantly reduces false positives by understanding code context and semantics while enforcing security and privacy best practices.

How To Use USB Blocking To Prevent Data Leaks

As digital threats evolve, safeguarding sensitive data has become more important than ever, especially for businesses using removable storage devices like USB drives. While these external devices boost productivity, they also increase the risk of data breaches if not properly managed. Unprotected peripheral ports serve as unguarded entry points for data thieves and malicious software, highlighting the critical need to secure these access interfaces.

LLMs Gone Wild: AI Without Guardrails

From the moment ChatGPT was released to the public, offensive actors started looking to use this new wealth of knowledge to further nefarious activities. Many of the controls we have become familiar with didn’t exist in its early stages. The ability to request malicious code or the process to execute an advanced attack was there for the asking from an open prompt. This proved that the models could provide adversarial recommendations and new attacks never before seen.