Talently
Talently
IT Security Specialist

IT Security Specialist

Protects the organization's systems, data, and users by identifying vulnerabilities and building defenses before attackers find them.

An IT Security Specialist is responsible for designing, implementing, and maintaining the security controls that protect an organization's digital assets. Their work spans vulnerability assessment and threat analysis through security incident response and team education. They do not wait for attacks to act: they work proactively to identify risks before they materialize. They collaborate with development, infrastructure, legal, and business teams to integrate security into all processes without becoming an obstacle to delivery velocity.

OWASPPentestingSIEMZero TrustCryptographyISO 27001

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Main Responsibilities

  • •Identify and assess vulnerabilities in applications, infrastructure, and processes through security assessments, pentesting, and code analysis.
  • •Design and implement preventive, detective, and corrective security controls aligned with the organization's priority risks.
  • •Monitor and respond to security incidents: detection, containment, eradication, recovery, and post-incident analysis.
  • •Integrate security practices into the development lifecycle (DevSecOps): SAST, DAST, SCA, and security architecture review.
  • •Manage identity and access: authentication policies, authorization, MFA, and the principle of least privilege.
  • •Maintain compliance with relevant regulations and standards: ISO 27001, SOC 2, GDPR, PCI-DSS depending on the organization's context.

Key Skills

Technical Skills

  • Knowledge of the most common vulnerabilities and their exploitation: OWASP Top 10 for web and mobile applications
  • Security analysis tooling: Burp Suite, OWASP ZAP, Nmap, Metasploit, and equivalent tools for vulnerability assessment
  • Cloud security: secure configuration of AWS, GCP, or Azure with IAM, security groups, encryption, and logging
  • Applied cryptography: symmetric and asymmetric algorithms, PKI, certificate management, and TLS protocols
  • SIEM and detection tools: Splunk, ELK Stack, or equivalent for event correlation and threat detection
  • Security automation scripting: Python or Bash for log analysis, automated scanning, and incident response

Soft Skills

  • Attacker mindset: the ability to think like an adversary to anticipate non-obvious attack vectors
  • Security risk communication in business impact terms that non-technical stakeholders can understand
  • Ability to build collaborative relationships with development teams without adopting a security police role
  • Judgment to prioritize security risks by their actual probability and impact, not by abstract technical severity
  • Continuous learning in a field that changes constantly with new vulnerabilities, techniques, and tools
  • Pressure management during active security incidents while maintaining analytical clarity and clear communication

Real use cases

Context

Application vulnerabilities are the primary entry point for attackers. Identifying them before attackers do is the difference between a prevented incident and one that makes the news.

Real examples

  • Web application pentesting using OWASP methodology to identify critical vulnerabilities before launch
  • Static code analysis (SAST) integrated into the CI/CD pipeline for early detection of insecure patterns
  • Attack surface assessment of publicly exposed APIs
  • Red team exercises to evaluate the organization's complete security posture by simulating a real attack

Context

Security added after development is more expensive and less effective than security integrated from the design stage. DevSecOps integrates automated security controls into every phase of the software lifecycle.

Real examples

  • SAST (Semgrep, SonarQube) and SCA (Snyk, Dependabot) integration into CI/CD pipelines
  • Threat modeling in the design phase to identify risks before writing code
  • Security architecture review for new services before development begins
  • Developer training in secure coding practices specific to the technology stack

Context

80% of security incidents involve compromised credentials or excessive access. Robust identity and access management is the most effective defense.

Real examples

  • MFA implementation for all access to critical systems and cloud administration
  • Privilege audit and reduction applying the principle of least privilege
  • SSO implementation with SAML or OIDC to centralize authentication and simplify offboarding
  • Service account and secrets management with automatic rotation and usage auditing

Context

Security incidents happen in every organization. The difference lies in how long it takes to detect them and how much damage occurs before they are contained.

Real examples

  • SIEM implementation with correlation rules to detect common attack patterns
  • Incident response playbook development for the highest-probability scenarios
  • Post-incident forensic analysis to determine the entry vector and scope of the compromise
  • Incident simulation exercises (tabletop exercises) to validate team preparedness

Context

Organizations that handle user data or process payments have legal and contractual security obligations. Non-compliance carries legal, financial, and reputational consequences.

Real examples

  • GDPR compliance controls: data inventory, DPIAs, and breach management
  • SOC 2 or ISO 27001 audit preparation with documented control evidence
  • Critical vendor security posture assessment with questionnaires and audits
  • Risk management program governance with an updated risk register and treatment plan tracking

Basic questions

A vulnerability is a weakness in the system (a door without a lock). A threat is the agent or event that could exploit that weakness (a burglar looking for unlocked doors). Risk is the combination of the probability of occurrence and the impact if it does (the likelihood of a burglar passing your street multiplied by the value of what could be stolen). Risk is the actionable concept for business: not all vulnerabilities are priority risks if the probability of exploitation is low or the impact is limited.
Defense in depth means implementing multiple independent control layers so that the failure of one layer does not compromise the entire system. In a web application: a WAF at the perimeter to filter known attacks, robust authentication at the application layer, granular per-resource authorization, encryption in transit and at rest, server-side input validation, and anomalous behavior monitoring. Each layer assumes that the previous ones may fail and adds its own defense.
Prioritize by real risk, not by abstract technical severity. Factors: is it exploitable from the internet without authentication? What data or systems would be compromised if exploited? Is there evidence of active exploitation of this vulnerability in the industry? How difficult is the exploitation? Remotely exploitable critical vulnerabilities in production systems go first. High-severity ones in internal systems with restricted access can wait. Always present findings with the business context of each one — not just the CVSS score.
The OWASP Top 10 is the list of the most critical vulnerabilities in web applications, updated periodically with real incident data. The most prevalent currently: broken access control (unauthorized access to other users' resources), cryptographic failures (sensitive data without encryption or with weak encryption), injection (SQL, LDAP, command injection), insecure design (lack of threat modeling in the design phase), and security misconfiguration (default or overly permissive configurations in cloud and servers). Broken access control has led the Top 10 since 2021 due to its prevalence and ease of exploitation.
Communicate directly with the Tech Lead or technical lead first — not broadly. Present the finding with full context: what the vulnerability is, how it could be exploited in their specific application's context, what the potential impact is, and what the recommended remediation is with technical references. Offer support during remediation rather than just pointing out the problem. The goal is for the team to fix the vulnerability quickly — not for them to feel that security is an adversarial auditor.
Phishing is a social engineering attack that tricks users into handing over credentials or executing malware by impersonating a trusted source. Technical controls: MFA that makes stolen credentials insufficient, email filters with DMARC, DKIM, and SPF that reduce domain spoofing, and email security solutions that detect malicious links. Process controls: regular phishing awareness training and simulations, a clear process for reporting suspicious emails, and review of OAuth application permissions that users approve.
Immediate containment: revoke all active sessions and credentials of the compromised user, including API tokens, SSH access, and cloud keys. Assess the scope: review the activity logs from the past 24-72 hours to identify what actions the attacker took with those credentials. Contain the damage: revoke any resources created or modified by the attacker if possible. Restore legitimate access with new credentials. Investigate the compromise vector to prevent recurrence. Communicate the incident according to the established process and applicable legal requirements.
Verify: that the signing algorithm is secure (RS256 or ES256, not HS256 with a weak secret, and never 'none'). That the token has a reasonable, short expiration (exp). That the secret or private key is not hardcoded in the code. That the token signature is validated on every protected request — not only at login. That the payload claims do not contain sensitive information that could be exposed (a JWT payload is only Base64, not encrypted). That there is a revocation or blocklist mechanism for tokens compromised before their expiration.

Technical questions

Use the STRIDE framework: identify the system's components and data flows, then evaluate each component against the six threat categories. For transfers: Spoofing (can an attacker impersonate the sender?), Tampering (can the amount be modified in transit?), Repudiation (can the sender deny having made the transfer?), Information Disclosure (is the balance or history exposed?), Denial of Service (can an attacker block the service?), Elevation of Privilege (can a user execute unauthorized transfers?). Each identified threat produces a mitigation control that is incorporated into the design.
Asset inventory as a starting point: you cannot protect what you do not know you have. Automated periodic scanning with tools like Qualys, Tenable, or Rapid7 for continuous detection. Vulnerability classification by the criticality of the affected system and the vulnerability's severity. Remediation SLAs by severity: critical within 24 hours, high within 7 days, medium within 30 days. Centralized tracking with mean time to remediation metrics by team. Documented exceptions with accepted risk and a review date. The program must be a continuous improvement process — not a one-time audit.
Define the critical security events to capture: failed authentication attempts, privilege escalation, access to sensitive data, changes to security configuration, and anomalous network activity. Centralize logs in a SIEM with sufficient retention for forensic investigation (minimum 90 days, ideally 1 year). Create correlation rules for the most common attacks: brute force (N authentication failures in T seconds from the same IP), data exfiltration (unusual outbound data volume), and lateral movement (unusual system access from an account). Alerts must have associated runbooks to reduce response time.
Use CSPM (Cloud Security Posture Management) tools: AWS Security Hub, GCP Security Command Center, or tools like Prowler or ScoutSuite to automatically detect misconfigurations. Verify: storage buckets are not public unless intentional, security groups have no 0.0.0.0/0 rules on sensitive ports (22, 3389, databases), IAM roles have the minimum necessary privileges (no AdministratorAccess unless essential), logging is enabled (CloudTrail, Cloud Audit Logs), and encryption is active for data at rest. Also review the provider's default configurations, which are frequently more permissive than necessary.
Adopt a centralized secrets manager (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) as the single source of truth. Applications retrieve secrets at runtime — never in hardcoded environment variables or configuration files in the repository. Implement automatic rotation of database credentials and API keys. Audit every secret access to detect anomalous patterns. Scan the code repository with tools like Trufflehog or Gitleaks in the CI pipeline to detect accidentally committed secrets. The most dangerous secret is the one no one knows exists in the repository.
Authentication with OAuth2 and short-lived tokens. Rate limiting per user and per IP to prevent abuse. Exhaustive server-side input validation. TLS 1.3 encryption in transit. Data minimization: the API returns only the fields necessary for each operation. Logging of sensitive data access with the ID of the accessing user and the resource accessed. WAF to filter known attack patterns. HTTP security headers correctly configured (restrictive CORS, Content-Security-Policy, HSTS). Per-endpoint authorization review: verify that the authenticated user has permission to access the specific requested resource — not just that they are authenticated.
Immediate containment: isolate compromised systems from the network to prevent spread (disconnect from network — do not power off, to preserve memory evidence). Assess the scope: which systems are affected, what data has been encrypted, whether there is data exfiltration in addition to encryption. Do not pay the ransom as the first response: initiate recovery from backups if they are available and intact (online backups may also be encrypted). Activate the business continuity plan. Preserve forensic evidence before starting recovery. Notify internal stakeholders and according to legal requirements. Investigate the initial entry vector to close the gap before restoring.
Zero Trust assumes that no user, device, or network is trustworthy by default — even inside the corporate perimeter. Pillars: explicit identity verification on every access with MFA and contextual risk assessment (device, location, time). Least-privilege access with just-in-time access to specific resources instead of broad network access. Micro-segmentation so that a compromised segment does not allow lateral movement. Device compliance verification before every access (up-to-date patches, active antivirus, encrypted disk). Continuous behavior monitoring to detect anomalies. The practical implementation for remote work: ZTNA (Zero Trust Network Access) as a replacement for traditional VPN.

Advanced questions

Start with the highest-impact, lowest-friction controls: MFA for all critical access, centralized secrets management, SAST and SCA in the CI/CD pipeline, and verified backups. Integrate security into the development process as part of the definition of done — not as a separate phase. Prioritize visibility: centralized logging and basic alerts before more complex controls. Build the program incrementally based on the product's risk profile: a fintech startup needs earlier controls than a B2B e-commerce one. The goal is not compliance with a framework; it is reducing real risk with the minimum friction possible at this point in the lifecycle.
The perceived obstacle is generally a symptom of how security is communicated and applied — not of security itself. Change the relationship model: from auditor who blocks to advisor who enables. When security finds a problem, arrive with the proposed solution, not just the problem. Measure the response time of security requests and actively reduce it: if every security review takes two weeks, the team perceives it as a bottleneck. Celebrate when teams detect and report vulnerabilities. Trust is built by being helpful more often than being an obstacle.
Generate and maintain an up-to-date SBOM (Software Bill of Materials) for each application documenting all dependencies and their versions. Automated SCA in the CI/CD pipeline that alerts on dependencies with known CVEs. Dependency update policy: critical security patches within 24-72 hours, minor security updates in the next sprint. Security evaluation of critical software vendors before adopting them. Monitoring of CVE lists relevant to the stack (GitHub Advisory Database, NVD). The supply chain is the hardest attack surface to manage because it is partially outside the organization's control.
A plan that exists only on paper fails at the moment of a real incident. Effectiveness is built with: clear roles and responsibilities with backups for each role (the CISO may be on vacation when the incident occurs), specific playbooks for the highest-probability scenarios with concrete steps and not just general principles, a decision tree for severity classification and response activation, and updated contacts for all internal and external stakeholders (security vendors, lawyers, regulators). Regular drills: quarterly tabletop exercises and at least one real response exercise per year. Playbooks are updated after every real incident and after every drill.
Pre-adoption assessment: a structured security questionnaire (based on CSA's CAIQ or equivalent), review of available certifications (SOC 2 Type II, ISO 27001), analysis of the vendor's public incident history and how they managed them, and review of security and liability clauses in the contract. During the relationship: annual review of the SOC 2 report, monitoring of security alerts about the vendor, and verification that changes in their privacy or security policies are communicated. Contingency plan: what happens to your data if the vendor suffers a breach or ceases to operate, and how you export and migrate your data. Trust in a vendor must be based on evidence — not on their marketing claims.
The shared responsibility model changes the distribution of controls: the cloud provider manages security of the infrastructure; the organization manages security in the cloud (configuration, data, identity). Design the cloud architecture with security by design: IAM with least privilege from day one, network segmentation with private VPCs and subnets, encryption enabled by default for all data services. Assess the security profile of each system before migrating: the most critical or highly regulated systems may require additional controls. Implement CSPM from day one. Train the operations team on the cloud provider's security model before the migration — not after.

Common interview mistakes

Listing tools (Burp Suite, Splunk, Nessus) without being able to articulate how risks are prioritized, how security posture is measured, or how risks are communicated to the business demonstrates technical knowledge without strategic vision. Interviewers at organizations with mature security programs ask about the process, not the tools.
An IT Security Specialist who can only communicate in technical terms cannot obtain executive buy-in or the budget needed to implement controls. The ability to translate 'SQL injection on the search endpoint' into 'an attacker could access the entire customer database, with the risk of GDPR fines of up to 4% of annual revenue' is a core competency of the role.
A security specialist who only talks about incident response without mentioning threat modeling, secure SDLC, proactive vulnerability assessments, or team training demonstrates a purely reactive security posture. Mature organizations invest more in prevention than in response.
Proposing security controls without evaluating how they affect the development team's workflow produces controls that are ignored or circumvented. An effective IT Security Specialist designs controls that maximize security with minimum friction for the team and can articulate that balance.
A pentest report with 50 findings all at the same priority level paralyzes the development team. The ability to prioritize by real risk (probability of exploitation multiplied by impact in the organization's specific context) is what distinguishes a security specialist from someone who runs tools and reports results without judgment.
The threat landscape changes constantly. A security specialist who cannot discuss the most recent attack techniques, the critical CVEs from the past year relevant to the organization's stack, or trends in supply chain attacks demonstrates a lack of currency in a field where outdated knowledge is directly dangerous.