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- From SaaS to CFOs: Six Ways Your Security Is Getting Skipped
From SaaS to CFOs: Six Ways Your Security Is Getting Skipped
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Adversarial Prompts: Bending AI Tools with Subtle Inputs
Cybersecurity teams are reporting a rise in adversarial prompts—carefully engineered text strings that manipulate AI assistants into leaking sensitive data, rewriting policies, or disabling safeguards.
Defenses include training models with adversarial robustness, restricting high-risk tasks to sandboxed agents, and using retrieval-augmented generation with permission filters.
Ransomware Groups Now Using Stealth Mode by Default
Modern ransomware strains now delay execution, disable logging, and blend in with normal activity for weeks before detonation. This allows them to exfiltrate data, pivot laterally, and identify high-value assets.
Endpoint detection and response (EDR) tools must be tuned for behavioral anomalies. Log retention and delayed alerting thresholds are key to detection.
Secure-by-Default Is a Myth in Many SaaS Platforms
Even in 2025, many SaaS tools default to permissive sharing, disabled MFA, or open API access. “Click to deploy” often means “click to expose.”
Security reviews should be part of procurement. Build internal baselines for any tool used across teams—especially those handling customer data or access controls.
Voice Cloning Targeting Financial Operations
Attackers are cloning CFO and controller voices to initiate wire transfers, authorize payments, or approve vendor changes. These attacks are executed over WhatsApp, voicemail, or fake video calls.
Deploy transaction verification workflows that require dual confirmation via separate channels—especially for large payouts or vendor changes.
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Third-Party Risk Scoring Is Falling Behind Reality
Many organizations rely on outdated vendor security assessments—often Excel checklists or infrequent SOC 2 reviews. Attackers, meanwhile, exploit vendors in real time.
Adopt continuous third-party monitoring tools, request SBOMs and breach history, and treat vendor access as high-privilege, not trusted by default.
Incident Response Plans Need AI-Augmented Playbooks
Traditional playbooks are often outdated, PDF-based, and lack flexibility. Modern incident response demands dynamic workflows—guided by AI, mapped to MITRE ATT&CK, and integrated with your actual tech stack.
Build IR playbooks in platforms like Jupyter, Notion, or Cortex XSOAR—and let AI recommend paths based on live telemetry.