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Clean Login, Full Access: Why Malware Isn’t Needed Anymore

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Payload-Free Attacks Are on the Rise

Modern adversaries are gaining access without ever dropping malware—relying entirely on credential abuse, misconfigurations, and native tools like PowerShell or SSH.

This means traditional AV and signature-based EDR are increasingly blind. Focus on behavior analytics, command-line logging, and privilege boundary enforcement to detect these stealth campaigns.

AI-Generated Security Policies Are Failing in Production

Some teams are using LLMs to draft firewall rules, IAM policies, and Kubernetes configs—but these outputs often miss business logic or rely on outdated syntax, creating silent security gaps.

Treat AI policy generation as a starting point, not a solution. Always involve human validation and red-team against new policies before rollout.

Untracked API Keys Are Fueling Shadow SaaS Growth

Developers often leave behind hardcoded API tokens in scripts, staging environments, or notebooks. These credentials are then scraped by attackers or used in misconfigured CI/CD pipelines.

Scan repos and cloud storage regularly, rotate secrets automatically, and monitor outbound traffic to catch unauthorized third-party calls.

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Remote Desktop Protocol (RDP) Is Still Too Open

RDP brute-force and credential stuffing attacks are rising again, particularly against poorly configured cloud VMs and hybrid setups with legacy remote access portals.

Disable public RDP wherever possible, enforce MFA and IP allowlists, and monitor for repeated failed logins—even from “clean” IPs.

Data Exposure via AI Transcription Tools

Companies are uploading sensitive meeting audio to AI transcription services without reviewing T&Cs or ensuring enterprise data handling. These recordings often contain roadmap, HR, or legal info.

Vet all transcription tools, prefer on-prem or encrypted options, and set data retention limits on AI services used for internal content.

Phishing via Shared Documents Is Bypassing Email Filters

Attackers are embedding phishing links inside Google Docs, Office365 sheets, and Notion pages—then sharing those docs via legitimate platforms. The links don’t hit email scanning layers at all.

Train users to treat shared documents with the same suspicion as unknown attachments. Deploy browser-level link scanning and contextual warnings for cloud-shared content.

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