A naukri.com initiative
Unite
3d
383
Image Credit: Unite
Security Teams Are Fixing the Wrong Threats. Here’s How to Course-Correct in the Age of AI Attacks
- Cyberattacks now involve AI, leading to faster attacks like polymorphic malware and automated reconnaissance that security teams struggle to combat effectively.
- Security defenses often rely on reactive measures, such as known indicators of compromise and historical attack patterns, creating opportunities for attackers to succeed.
- Security teams are fixing the wrong issues due to the industry's reliance on compliance checklists and fragmented security tools.
- The use of risk scores like CVSS to prioritize vulnerabilities often results in patching non-exploitable issues, giving attackers room to exploit overlooked weaknesses.
- Traditional signature-based detection methods are becoming less effective against AI-generated attacks like polymorphic malware and AI-generated phishing emails.
- Regulatory pressures, such as the SEC's cybersecurity disclosure rules and the EU's DORA regulations, demand a shift towards continuous cyber risk management that most organizations are unprepared for.
- Most organizations struggle with threat prioritization, relying on static risk scoring systems that do not consider vulnerability context, leading to inefficiencies in managing cyber risk.
- A proactive approach focusing on continuous attack simulation and exploitability-driven defense is recommended to combat AI-generated attacks effectively.
- Security teams should prioritize continuous attack simulations, exploitability over severity, unified security telemetry, automated defense validation, and modern cyber risk reporting for improved security operations.
- By shifting to continuous validation and exploitability-based prioritization, organizations can enhance security operations, improve incident response, and align with regulatory demands.
Read Full Article
23 Likes
For uninterrupted reading, download the app