Social engineering attacks are inevitable. There will always be phishing emails, malicious links, and threat actors attempting to exploit human trust. The question is not whether your organization will be targeted — it is whether you have the plan, training, and tooling to detect and respond before one click becomes a data breach. Emily Zakkak, Cybersecurity Specialist at Senovate, a global managed security services provider, focuses on IAM, security operations, and social engineering defense. In this episode, she explains how to build structured incident response plans, why security awareness must be everyone’s job, and how modern SOC platforms powered by Open XDR are replacing legacy detection approaches.
You can read the complete transcript of the episode here >
How should organizations handle social engineering incidents?
The best way to handle social engineering attacks is to have a plan before they happen. Emily emphasizes that many organizations say “we’ll deal with it when it comes up” — and then scramble with no communication structure when an incident actually occurs.
- Build a structured incident response plan. It should define who communicates with whom, what steps to take, and how to escalate. Without this, incidents devolve into chaos.
- Ensure cross-functional communication. The security team, IT, legal, and executive leadership all need to be connected and aware of their role in the plan. Social engineering incidents often have legal, compliance, and PR implications beyond the technical response.
- Use logs and alerting as your detection backbone. When someone clicks a malicious download, backend processes start running. Logs capture that activity, generate alerts, and allow the security team to trace the source — the IP address, the user, the file, and the lateral movement.
The key insight: you cannot respond to a problem you have not found. Detection must come before response, and detection requires visibility through monitoring and logging.
Can organizations prevent social engineering attacks?
Prevention starts with accepting that security is everyone’s responsibility — not just the security team’s job.
- Security awareness training is non-negotiable. Every employee, regardless of department, needs to understand that one click on a malicious link can start a chain reaction leading to a full data breach. Phishing simulation exercises make this tangible rather than theoretical.
- Train for all industries and roles. Whether you are in finance, healthcare, or retail — your data needs protection. The attacker does not care about your industry vertical; they care about what they can steal or lock down.
- Build a culture where reporting is encouraged. Employees need to feel comfortable flagging suspicious emails to the security team without fear of looking foolish. The cost of one unreported phishing email dwarfs the cost of a false alarm.
This philosophy — that security culture must be everyone’s responsibility rather than delegated to a single team — is a recurring theme across effective security organizations.
What security controls should organizations prioritize?
Emily identifies three core areas for any incident response program:
- Monitoring: You must have visibility into what is happening across your environment. Without a security operations center (SOC) or equivalent monitoring capability, attacks propagate undetected.
- Detection: Automated systems need to identify suspicious patterns — failed login attempts, unusual file downloads, lateral movement from unexpected IP addresses. AI and machine learning now play a significant role in correlating events across data sources.
- Response and reporting: A structured way to remediate incidents, document what happened, and extract lessons learned. Post-incident reviews are what prevent the same attack from succeeding twice.
The lesson-learned phase is often overlooked but critical. Each incident is a data point that should inform better detection rules, updated training, and refined response procedures.
How does modern SOC technology improve social engineering defense?
Traditional SOCs face a fundamental scaling problem: more alerts than analysts can process. Emily describes how Open XDR (Extended Detection and Response) changes the equation:
- Unified visibility across all surfaces: Instead of separate tools for endpoint, cloud, identity, and SaaS — each requiring its own team — Open XDR platforms collect logs from all sources into a single view. This mirrors the need for cloud detection and response across modern environments.
- AI-powered event correlation: If someone fails multiple logins from the same IP that is also probing the firewall, the AI connects those events automatically. A human analyst reviewing 3,000 daily alerts would miss that correlation.
- Cost efficiency for mid-sized organizations: Legacy approaches (Splunk plus multiple bolt-on platforms) cost millions and require separate teams. Open XDR consolidates detection and response into one platform, making enterprise-grade security accessible to small and mid-sized companies.
- Reduced analyst burnout: When AI handles correlation and initial triage, analysts focus on confirmed threats rather than drowning in noise. This is the difference between effective security operations and alert fatigue.
Why does implicit trust create security vulnerabilities?
Many applications implement implicit trust — once authenticated, you are remembered and not asked to verify again. Emily identifies the risks:
- Single compromise cascades across systems. If an attacker gains access to one trusted session, implicit trust relationships let them pivot without additional verification. This is why zero trust architectures exist — never assume trust based on a previous authentication event.
- Unified identity and access management is essential. On-premise and cloud systems both need to be secured under a single IAM solution. Securing only one side leaves the other exposed.
- Encryption is baseline, not optional. Data moving between on-premise and cloud systems without encryption can be intercepted. This applies to API calls, database connections, and inter-service communication.
- Compliance requires IAM controls. Every industry has regulations (SOC 2, HIPAA, PCI-DSS) that mandate identity controls. Implementing MFA across applications and eliminating implicit trust is not just good practice — it is a compliance requirement.
