Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Ditching RSA Made Teleport 77% More CPU-Efficient

In Teleport 17 we made the switch from RSA to ECDSA and Ed25519, and it paid off with improved security and significant performance benefits. This was a major undertaking; Teleport has used 2048-bit RSA keys for just about everything since our initial release. Switching to new key types and signature algorithms came with serious compatibility concerns given the broad range of environments Teleport is deployed in and the number of third party tools that use or trust Teleport-issued certificates.

Arctic Wolf Incident Response: End-to-End Response and Recovery

Explore how Arctic Wolf Incident Response provides 24x7 support to our customers, providing expertise and action when they need it most. The Arctic Wolf IR solution offers a suite of in-house offerings, from digital forensics, to recovery, to threat actor negotiations and data mining. Arctic Wolf is able to come in with our skills and expertise to step up fast, secure the environment, and help organizations restore their environment with speed and efficiency -- all in-house.

Arctic Wolf Incident Response: Advanced Threat Detection

Explore how Arctic Wolf’s experienced IR team helps organizations respond to threats swiftly and effectively. From a threat intelligence perspective, the Arctic Wolf IR team is always on top of new and emerging threats, which allows them to help organizations detect and recover from threats faster and more effectively, regardless of the organization’s environment, location, or specific incident characteristics.

Arctic Wolf Incident Response: Experienced Technical Investigators

Explore how our multi-faceted team of experienced technical investigators handles every part of the IR process, from digital forensics to threat actor negotiation to remediation and recovery. Arctic Wolf offers a full-service IR experience, helping organizations around the globe respond to and recover faster from severe cyber incidents.

Is TensorFlow Keras "Safe Mode" Actually Safe? Bypassing safe_mode Mitigation to Achieve Arbitrary Code Execution

Update: This issue was discovered and disclosed independently to Keras by JFrog’s research team and Peng Zhou. Machine learning frameworks often rely on serialization and deserialization mechanisms to store and load models. However, improper code isolation and executable components in the models can lead to severe security risks. The structure of the Keras v3 ML Model in TensorFlow.