Deep Instinct Warns Unscanned Cloud Storage Can Hide Malware
Deep Instinct argues that cloud security controls may not reveal malware hidden in stored files and promotes scanning cloud data before files are uploaded or executed.
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- Jan 21, 2026
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Study Finds IT Leaders Overconfident About AI-Driven Cyber Risks
Deep Instinct’s survey of 500 U.S. IT professionals found widespread confidence in defenses against AI-generated malware, despite the company’s test showing many legacy tools missed the samples tested.
Deep Instinct Analyzes Nimbus Manticore Malware’s Evasion and Lateral-Movement Capabilities
Deep Instinct’s analysis describes Nimbus Manticore as a 64-bit Windows malware sample with obfuscation, sandbox-evasion indicators, and potential RPC-based privilege escalation and lateral-movement capabilities.
Survey Finds Retail Security Teams Adopt AI While Cybersecurity Strategies Lag
A survey of retail security teams finds widespread AI adoption alongside concern about file-based attacks and gaps in security strategies and defenses ahead of the holiday shopping season.
Webinar Demonstrates Guardrail-Free LLM Creating Malware That Evaded 65 of 73 Legacy Security Tools
A promoted webinar demonstrates malware creation with a guardrail-free LLM and describes evasion techniques, DIANNA's analysis, and the vendor's claim that deep-learning prevention can catch malware missed by legacy tools.