A memory device comprises a memory control unit including a processor configured to control operation of the memory array according to a first memory management protocol for memory access operations, the first memory management protocol including boundary conditions for multiple operating conditions comprising program/erase (P/E) cycles, error management operations, drive writes per day (DWPD), and power consumption; monitor operating conditions of the memory array for the P/E cycles, error management operations, DWPD, and power consumption; determine when a boundary condition for one of the multiple operating conditions is met; and in response to determining that a first boundary condition for a first monitored operating condition is met, change one or more operating conditions of the first memory management protocol to establish a second memory management protocol for the memory access operations, the second memory management protocol including a change boundary condition of a second monitored operating condition.

A firmware protection module implements a hybrid firmware protection scheme on a computing device. The firmware protection module intercepts a message from a processor to a memory of the computing device. The message includes a command and an address in the memory corresponding to a firmware module stored in the module. The firmware protection module determines whether the command in the message is prohibited and whether the address in the message is protected. Responsive to a determination that the command is prohibited and the address is protected, the firmware protection module prevents at least a portion of the message from reaching the memory.

A method for performing verification and testing of a device under test (DUT) is described. The method includes receiving, by a processing device, inputs from a user regarding a hardware design for the DUT. The processing device presents cover group attribute suggestions to the user based on the hardware design and receives cover group information from the user corresponding to one or more cover group attributes of one or more cover groups based on the cover group attribute suggestions. Based on the cover group information, the processing device automatically generates verification code, including one or more cover group definitions.

A method includes determining a corresponding level of a security model associated with each device of a plurality of devices connected to a network, each level of the security model having a corresponding tag; applying, to each of the plurality of devices, the corresponding tag based on the corresponding level of the security model with which each of the plurality of devices are associated; receiving, over a network connection, network traffic from at least one of the plurality of devices and the corresponding tag; analyzing the corresponding tag associated with the network traffic; determining a destination for the network traffic; applying one or more security measures to the network traffic based on the corresponding tag for the at least one device and a corresponding tag of the destination for the network traffic; and sending the network traffic to the destination with the corresponding tag of the destination.

A processor may identify one or more predicted microservice chains for each of one or more user profiles. The one or more predicted microservice chains may be selected based on historical information. The one or more user profiles may each be associated with a respective user of a user device. The processor may analyze user specific information. The user specific information may be associated with the user device. The processor may determine, based on the user specific information, if the user device causes network intrusion. The processor may perform, based on the determination, an action for the user device.

A system may include a historical time series data store that contains electronic records associated with Software-as-a-Service (“SaaS”) applications in a multi-tenant cloud computing environment (including time series data representing execution of the SaaS applications). A monitoring platform may retrieve time series data for the monitored SaaS application from the historical time series data store and create tenant vector representations associated with the retrieved time series data. The monitoring platform may then provide the retrieved time series data and tenant vector representations together as final input vectors to an autoencoder to produce an output including at least one of a tenant-specific loss reconstruction and tenant-specific thresholds for the monitored SaaS application. The monitoring platform may utilize the output of the autoencoder to automatically detect an anomaly associated with the monitored SaaS application.

Methods and systems for allowing software components that operate at a specific exception level (e.g., EL-3 to EL-1, etc.) to repeatedly or continuously observe or evaluate the integrity of software components operating at a lower exception level (e.g., EL-2 to EL-0) to ensure that the software components have not been corrupted or compromised (e.g., subjected to malware, cyberattacks, etc.) include a computing device that identifies, by a component operating at a higher exception level (“HEL component”), at least one of a current vector base address (VBA), an exception raising instruction (ERI) address, or a control and system register value associated with a component operating at a lower exception level (“LEL component”). The computing device may perform a responsive action in response to determining that the current VBA, the ERT address, or control and system register value do not match the corresponding reference data.

Devices and techniques for efficient obfuscated logical-to-physical mapping are described herein. For example, activity corresponding to obfuscated regions of an L2P map for a memory device can be tracked. A record of discontinuity between the obfuscated regions and L2P mappings resulting from the activity can be updated. The obfuscated regions can be ordered based on a level of discontinuity from the record of discontinuity. When an idle period is identified, an obfuscated region from the obfuscated regions is selected and refreshed based on the ordering.

Methods, systems, and apparatuses for unlocking a persistent region in memory are disclosed. An information handling apparatus includes a controller, a memory coupled to the controller, the memory having a persistent region that can either be locked or unlocked, and a firmware configured to determine whether the persistent region of the memory is locked, obtain a stored passphrase from a storage device if the persistent region is locked, and use the passphrase to unlock the persistent region of the memory.

A system for detecting security threats in a computing device receives a first set of signals from components of the computing device. The first set of signals includes intercommunication electrical signals between the components of the computing device and electromagnetic radiation signals propagated from the components of the computing device. The system extracts baseline features from the first set of signals. The baseline features represent a unique electrical signature of the computing device. The system extracts test features from a second set of signals received from the component of the system. The system determines whether there is a deviation between the test features and baseline features. If the system detects the deviation, the system determines that the computing device is associated with a particular anomaly that makes the computing device vulnerable to unauthorized access.