sandboxing Archives

Winsage

August 2, 2026

Former Microsoft dev brings Windows Task Manager to Mac

Dave W. Plummer, the original developer of the Windows Task Manager, has launched a beta project called Task Manager OG (TMOG) as an alternative to macOS's Activity Monitor. TMOG is built from scratch using Swift and does not contain any code from Windows XP. Microsoft provided Plummer with the source code of the XP Task Manager, but TMOG is independent. Initially intended for distribution through the Mac App Store, TMOG will instead be available for direct download due to Apple's sandboxing restrictions and guidelines against terminating other applications. Plummer plans to develop a Windows version and potentially a Pro version in the future.

Tech Optimizer

July 27, 2026

Hackers are hiding malware behind AI agents that antivirus cannot see

Sergey Lozhkin, head of Kaspersky’s global research and analysis team for the Asia-Pacific, Middle East, Turkey, and Africa, reported an increase in malware injection attacks targeting AI agents, particularly from outside an organization’s network. He noted that traditional signature-based analysis is becoming ineffective as AI skills operate in the cloud, connecting to external resources. Dmitry Galov, leading Kaspersky’s research for Russia and the CIS, emphasized the importance of behavioral analysis and sandboxing AI applications to combat these threats. Lozhkin warned that the rapid growth of skills and plugins requires organizations to adopt innovative security measures, as old models are no longer sufficient.

Tech Optimizer

July 21, 2026

Advanced Threat Protection: How AI Transforms Enterprise Security

An attacker is testing stolen passwords against a company with inadequate firewall protection, highlighting the flaws in traditional security measures. Modern attacks, including ransomware and phishing, have evolved, necessitating advanced threat protection (ATP) that incorporates artificial intelligence (AI) for improved threat detection and response. AI-driven ATP identifies attacks that conventional tools miss, such as fileless malware and targeted phishing, by learning normal operating patterns and flagging deviations. Traditional security relies on known malware signatures, which are ineffective against zero-day attacks and polymorphic malware that changes its identity. Cloud misconfigurations and hybrid security gaps further complicate security. AI enhances detection by focusing on malicious behaviors rather than just file signatures, allowing for rapid identification of threats. Automated incident response can isolate affected endpoints and terminate malicious processes quickly. Behavioral analytics and threat intelligence integration improve ATP effectiveness by understanding user behavior and recognizing attack patterns. AI-powered ATP significantly reduces breach containment time and false positives, shifting the focus from reactive cleanup to proactive prevention. Best practices for maximizing ATP include integrating it into existing security operations, keeping machine learning models updated, and regularly testing defenses against real-world threats.

Tech Optimizer

July 21, 2026

Advanced Threat Protection: How AI Transforms Enterprise Security

An attacker is testing stolen passwords against a company that incorrectly believes its firewall is sufficient protection. Traditional defenses have become inadequate due to the speed and sophistication of modern attacks, including ransomware groups renting tools and phishing kits being easily accessible. Advanced threat protection (ATP) was designed to address these challenges, especially with the integration of artificial intelligence (AI). AI-powered ATP identifies attacks that conventional tools overlook, such as fileless malware and targeted phishing attempts, by learning the normal behavior of an organization’s environment and flagging anomalies. Traditional security relies on identifying known malware through established fingerprints, which fails against novel threats like zero-day attacks and polymorphic malware. The rise of remote work and cloud services has introduced new risks due to misconfigurations and inconsistent security rules. AI enhances threat detection by focusing on malicious behavior rather than matching files against known threats, allowing for rapid detection and automated incident response. Behavioral analytics establishes a baseline for users and devices, flagging deviations that may indicate insider threats or credential theft. Integrating threat intelligence provides insights into emerging threats and helps prioritize alerts. AI-driven ATP can contain breaches faster, significantly reducing the financial impact and dwell time of attackers. Best practices for maximizing ATP include integrating with security operations, ensuring comprehensive coverage, updating models regularly, conducting real-world testing, securing AI systems, and maintaining human oversight.

Tech Optimizer

July 15, 2026

Can Chromebooks Get Viruses? How to Protect Your Device

Chromebooks are designed with robust security features, including sandboxing, Verified Boot, automatic updates, data encryption, and Recovery Mode, which collectively reduce the risk of malware infections. However, they are still vulnerable to threats such as malicious Chrome extensions, scam Android apps from third-party stores, phishing attacks, and risks associated with using Developer Mode and cloud storage. Users can identify potential malware through signs like slow performance, unexpected pop-ups, and unusual battery drain. To remove malware, users should eliminate suspicious extensions, uninstall dubious apps, run antivirus scans, enable Google Play Protect, or perform a Powerwash to reset the device. To protect their Chromebooks, users should avoid Developer Mode, check app permissions, use two-factor authentication, verify website URLs, and use a VPN on public Wi-Fi.

Tech Optimizer

July 8, 2026

PostgreSQL Extensions Are an Architecture Decision, Not an Afterthought

A common issue in database migrations is the unplanned accumulation of extensions in PostgreSQL, leading to extension sprawl. Teams often install extensions without documenting the rationale, resulting in a complex web of dependencies that complicates future upgrades and removals. The installation process involves PostgreSQL accessing a control file that details the extension's version and dependencies, which can lead to multiple extensions being installed unintentionally. Upgrading and removing extensions are often neglected, causing risks such as the loss of dependent objects. Extensions typically default to the public schema, which can become cluttered; relocating them to dedicated schemas can improve organization. Trusted Language Extensions (TLE) allow non-privileged users to utilize procedural languages in managed databases without needing superuser access. Key extensions recommended for use include pg_stat_statements, pg_trgm, hstore, citext, and PostGIS, each serving specific use cases. Proper governance is essential for managing extensions, including documenting their purpose, ownership, and dependencies, to prevent operational surprises.

Tech Optimizer

July 7, 2026

Avast Premium Security from Gen Digital – multi-device protection tuned for US households

Avast Premium Security is a multi-device security suite developed by Gen Digital, designed for U.S. households and small offices. It includes antivirus, ransomware protection, firewall, and web shield features. The product offers plans for one device, up to ten devices, or unlimited devices, with pricing around .99 per year for a single device and .99 for up to ten devices. It is compatible with Windows PCs, Macs, Android phones and tablets, and iOS devices. Key features include real-time malware scanning, advanced ransomware shields, phishing site detection, and a configurable firewall. The software operates quietly in the system tray and provides notifications when threats are detected. Avast Premium Security is positioned in a competitive market alongside brands like Norton, McAfee, Trend Micro, and Kaspersky, and is part of Gen Digital's strategy for recurring subscription revenue. The product is available for purchase online and targets U.S. households and small offices seeking comprehensive protection.

AppWizard

July 1, 2026

Why B3 chose Android for secure AI-enabled productivity

B3 has deployed a secure mobile solution to 1,000 employees in two weeks using Android Enterprise, enhancing security with AI threat detection and Managed Google Play. The transition is expected to yield a 30% cost savings over the next decade. B3 prioritized security and compliance while providing devices that ensure constant availability and productivity. The deployment process was streamlined through collaboration with Samsung and Android Enterprise's zero-touch enrollment, allowing centralized management of devices. Employees received lightweight devices with 7-inch screens and longer battery life, leading to positive feedback. B3 is also expanding its use of AI to improve productivity and plans to refresh hardware more frequently due to the anticipated cost savings.

Tech Optimizer

June 22, 2026

Your Mac isn’t immune to viruses & surveillance tools, Intego One is here to help

Intego One is an antivirus solution for Macs that integrates four security tools into one package and is currently offered at a 50% discount. It includes an antivirus feature providing real-time protection, a firewall to prevent unwanted intrusions, and SmartClean for decluttering storage. The Complete Tier adds a VPN for secure browsing. Intego One is compatible with macOS 12 Monterey and later, requiring at least 8GB of RAM and 2GB of storage. It is available in three subscription tiers: Essential, Advanced, and Complete, with varying features and pricing based on the number of devices and plan duration.

Tech Optimizer

June 21, 2026

Malware Has Gotten Smarter. Here’s How Your Antivirus Has, Too

Antivirus software is evolving from relying on static databases of known malware signatures to employing behavioral monitoring and machine learning for threat detection. Traditional antivirus solutions focused on recognizing known threats through unique signatures, but this approach has become inadequate due to the rapid evolution of malware, including polymorphic and metamorphic types. Modern antivirus systems now monitor program behavior, looking for suspicious activities such as unexpected file encryption or unusual network communication. Machine learning models analyze large datasets to identify patterns associated with malware, allowing for the classification of files as safe, potentially unwanted, or malicious. Techniques like sandboxing and dynamic analysis are used to preemptively neutralize threats. However, advancements in AI also present challenges, as cybercriminals can exploit these technologies to create sophisticated malware that evades detection. Despite improvements in antivirus effectiveness, modern cyberattacks increasingly target individuals through methods like phishing and social engineering, necessitating a combination of robust antivirus solutions and good cybersecurity practices.