Home / Blog / Is AI Making Us Worse at Cybersecurity?: Overreliance on AI…
Tech News

Is AI Making Us Worse at Cybersecurity?: Overreliance on AI could erode

F5 Field CISO Joshua Goldfarb warned that overreliance on AI tools degrades critical thinking, human creativity, and communication across cybersecurity teams.

By Dillip Chowdary • Nov 14, 2026 • Source: SecurityWeek

Is AI Making Us Worse at Cybersecurity?: Overreliance on AI could erode

Detailed security analysis published in SecurityWeek's report warns that excessive reliance on artificial intelligence is actively degrading the creativity, critical thinking, and communication skills of cybersecurity defenders. Former United States Computer Emergency Readiness Team analysis chief and current F5 Field CISO Joshua Goldfarb argued that while adversaries use automation to accelerate intrusions, enterprise security practitioners risk sacrificing their core investigative capabilities.

This analysis details how automated generation harms threat analysis, organizational messaging, soft skills, and forensic problem-solving across modern security teams. It outlines specific operational boundaries for chief information security officers, security operations analysts, and incident responders seeking to prevent automated software tools from eroding fundamental technical competence.

01Prompt habits and lost human creativity

The shift toward automated workflows began surfacing in everyday workplace interactions when colleagues started treating human subject matter experts like generative prompt engines. After declining a speaking invitation due to scheduling conflicts, Goldfarb encountered an alternate speaker who requested presentation material not through professional guidance or collaborative advice, but through an explicit prompt demanding key presentation points.

This interaction demonstrated how defensive personnel increasingly approach complex subject matter with transactional shortcuts rather than developing thorough technical comprehension. Security professionals have traditionally uncovered novel vulnerabilities, unusual system anomalies, and attacker infrastructure through idiosyncratic investigative curiosity, approaching challenges through creative problem-solving techniques that algorithmic databases cannot replicate.

Curation of large datasets through automated tooling provides computational speed, but algorithmic search functions remain an inadequate substitute for genuine human creativity. Entrusting frontline analytical tasks entirely to software models strips defensive operations of human ingenuity, creating an environment where analysts overlook subtle anomalies that fall outside predictable training patterns.

02Workplace humor and emotional sincerity gaps

Interpersonal effectiveness across defensive operations relies heavily on delicate soft skills like humor, which practitioners have utilized for decades to defuse acute tension and deliver difficult news. Delegating written briefings, internal talking points, and formal slide decks to automated language models removes witty nuance, preventing security leaders from communicating serious technical risks in an engaging manner.

Is AI Making Us Worse at Cybersecurity?: Overreliance on AI could erode
Illustration · Pexels

Synthetic systems can simulate surface-level emotional expressions, yet they remain incapable of experiencing authentic emotions or projecting genuine personal sincerity during organizational crises. Human employees naturally demonstrate greater commitment to initiatives led by sincere peers, meaning security departments that overrotate on automated drafting sacrifice one of their most effective interpersonal levers.

Stakeholders quickly recognize automated correspondence, responding with disengagement when critical security directives appear detached and formulaic. Maintaining genuine human sincerity ensures cross-functional engineering teams collaborate during high-friction policy rollouts, whereas synthetic communications alienate colleagues whose cooperation is essential for maintaining enterprise defense.

Advertisement

Tech Pulse Daily

Get tomorrow's pulse first

Join engineers who read Tech Pulse before stand-up. Free, weekday mornings.

03Homogenized conference messaging and diluted language

Commercial messaging across corporate cybersecurity exhibitions has devolved into repetitive marketing buzzwords as vendor marketing divisions increasingly rely on generative software to produce promotional content. Attendees visiting large security conference expo floors frequently observe uniform exhibits displaying identical slogans, producing unremarkable messaging that fails to stimulate thoughtful conversation among technical buyers.

The resulting promotional material lacks distinctive positioning, creating industry noise that distracts practitioners from substantive defensive architectural discussions. Security organizations require incisive communication that challenges conventional assumptions and leaves a lasting impression, necessitating a deliberate shift away from automated content generation in vendor and team messaging.

This reliance on automated drafting software directly mirrors a broader decline in linguistic precision and clarity across technical environments. Because defensive security operations depend heavily on prompt, unambiguous documentation and exact coordination during incidents, sloppy machine-generated phrasing weakens operational efficiency and degrades professional standards across the industry.

04Critical thinking deficits in novel incidents

Defensive practitioners regularly confront unprecedented operational crises where organizations face novel attacks that have no historical precedent and no documented operational playbook. Successfully mitigating these unfamiliar compromises requires disciplined critical thinking, yet practitioners increasingly depend on automated models to evaluate evidence, recommend defensive actions, and structure tactical assessments.

Outsourcing intellectual heavy lifting to automated assistants steadily erodes the analytical discipline required to navigate ambiguous threat environments. Security teams operating with impaired critical reasoning struggle to evaluate complex intrusion paths, drifting away from the rigorous problem-solving foundations that characterized earlier generations of forensic investigators and malware analysts.

When incident responders abandon foundational analysis in favor of automated recommendations, organizations lose the ability to diagnose sophisticated compromises that evade automated detection logic. Preserving sharp analytical rigor ensures engineering teams can independently formulate novel containment strategies when automated tools encounter threat patterns they were never trained to evaluate.

05Personal workflow boundaries and independent analysis

Protecting core defensive abilities requires practitioners to establish unambiguous boundaries regarding when automated tooling should be completely excluded from daily workflows. Throughout a career spanning leadership at US-CERT, FireEye, nPulse Technologies, and F5, Goldfarb maintained a strict policy refusing ghostwriters, extending that discipline into the modern era by rejecting generative assistance entirely.

This personal standard prohibits using automated platforms to suggest presentation topics, conduct technical research, organize ideas, generate outlines, or draft written materials. Although avoiding automated drafting tools may appear countercultural across modern enterprises, committing to manual content creation preserves individual cognitive depth and ensures high-quality analytical output.

Defensive specialists must actively resist the convenience of automated generation to maintain their competitive advantage against fast-moving attackers. Establishing disciplined personal boundaries ensures that security professionals preserve the creativity, critical reasoning, and technical expertise required to safeguard enterprise infrastructure over the long term.

AI Making Us Worse at Cybersecurity? FAQ

How does excessive AI reliance affect cybersecurity creativity?

AI can rapidly curate and search large datasets, but it cannot replicate human creativity in discovering oddities, noticing irregularities, or approaching unique security challenges. Delegating core analytical tasks to software eliminates the creative problem-solving methods security professionals have historically relied upon.

Why is emotional sincerity important for enterprise security teams?

Security professionals frequently rely on soft skills like humor and genuine sincerity to defuse tension and convince colleagues to adopt demanding security measures. Automated tools merely mimic emotions without feeling them, resulting in insincere communications that reduce employee cooperation.

What operational boundaries did Joshua Goldfarb establish against AI?

Goldfarb refuses to use AI for suggesting topics, conducting research, organizing thoughts, building outlines, or drafting content. He maintains that security professionals must manually produce their own analysis to preserve technical competence and critical thinking skills.

How does AI generation impact technical communication during incidents?

Security operations require timely, clear, and highly precise communication to coordinate incident response. Overreliance on generative text tools dilutes technical language, introducing vague wording that can degrade collaborative investigation and response times.

Sources

Dillip Chowdary

Author

Dillip Chowdary

Writes Tech Bytes coverage of AI, engineering, and the tools that actually ship. Editor of Tech Pulse Daily.

Related on Tech Bytes

Advertisement

5-min tech signal

Weekday briefing for engineers who skip the noise.

No spam · Unsubscribe anytime

Advertisement

✈️ CareerPilot

Your AI job-search copilot

Match your resume against live Ashby, Greenhouse & Lever openings — fit scores, job-specific resume optimization and email alerts.

Find matching jobs →

Free Tools

Browse all tools →