Cybersecurity Roundup: Partnerships, Funding, and Emerging Threats – November 24, 2025 | Adversarial Poetry, Check Point (Gil Shwed), AI in Türkiye, Semperis

November 24, 2025. An op-ed daily briefing on adversarial poetry jailbreaks against LLMs, Check Point chairman Gil Shwed’s market critique, accelerating AI-driven cybersecurity investments in Türkiye, and a Semperis study showing ransomware spikes on holidays and weekends. Analysis, implications, and strategic takeaways for CISOs, investors, and product teams.

Executive summary (the five-minute read)

Today’s cybersecurity headlines underline a core paradox: as defenders adopt AI for detection and automation, attackers — and novel researchers — find creative vectors to exploit the very models we depend on. A new academic study demonstrates that adversarial poetry can reliably bypass safety filters in many large language models (LLMs), exposing a systemic alignment gap that has immediate defensive and legal consequences. At the same time, industry voices such as Check Point’s Gil Shwed warn that the cybersecurity market’s incentives are out of sync with operational reality, while capital follows the AI trend — notably with accelerating AI-driven cybersecurity investments in Türkiye. Finally, a fresh Semperis study confirms what many defenders already suspected: ransomware operators time attacks for holidays and weekends to maximize impact and reduce detection cadence. Together, these stories point to an urgent need for engineered safety, better procurement discipline, and new operational playbooks for holidays and low-staff windows.

Table of contents

1. Introduction: Why today’s mix matters
2. Adversarial poetry — a surprising new attack surface against LLM-based defenses
3. Gil Shwed (Check Point): the market is ‘disconnected from reality’ — what that critique hides and reveals
4. AI-driven cybersecurity investments accelerate in Türkiye — capital flows and strategic implications
5. Semperis study: ransomware spikes during holidays and weekends — operational lessons for SOCs and boards
6. Cross-cutting themes: AI, incentives, and operational timing
7. Tactical recommendations: immediate, 90-day, and strategic move
8. Conclusion: a short editorial verdict
9. Sources

1. Introduction — the frame

Two decades of cyber defense have taught security teams to expect creativity from attackers. But the battlefield has shifted: now the creative techniques exploit language and style rather than conventional code exploits or phishing copy alone. Meanwhile, the market dynamics that fund defenders and vendors are often misaligned with operational reality — an issue raised explicitly by industry leaders — even as investors chase the next AI-native security unicorn. Finally, the cadence of attacks — timed for human downtime — remains an unsolved operational risk.

This briefing stitches together these threads to show why defenders, procurers, and boards should think of cybersecurity as simultaneously (a) technical engineering (patching, detection, model hardening), (b) human systems (staffing, policy, incident response), and (c) economic incentives (funding, sales cycles, procurement). The big takeaway: the security problem is simultaneously more creative and more political than many teams are prepared for.

2. Adversarial poetry — a surprising new attack surface against LLM-based defenses

What happened (summary):
Researchers from DEXAI, Sapienza University of Rome, and Sant’Anna School of Advanced Studies published a paper showing that crafting harmful instructions in poetic or figurative form—what they call adversarial poetry—can bypass safety filters in many LLMs. Hand-crafted poems achieved an overall jailbreak success rate (ASR) of 62%, while automated poetry conversions of harmful prompts reached roughly 43% ASR, substantially higher than prose baselines. The experiment spanned 25 models and demonstrated that the technique transfers across various providers and alignment methods.

Source: PC Gamer (coverage) and the original arXiv paper.

Why this matters (analysis & implications):

• Style is an attack vector. Guardrails based on semantic pattern matching or supervised examples can be blind to novel stylistic forms. Poetic metaphors and rhetorical devices change the surface form while preserving malicious intent, confusing heuristic and even learned safety checks.

• LLM alignment is brittle at scale. The study’s cross-model results show that alignment strategies that work in training or narrow evaluations often fail against creative adversarial transformations. This undermines the assumption that “safety training” alone is sufficient to prevent misuse in the wild.

• Operational risk for defenders and vendors. Organizations relying on LLMs for triage, automated incident response, or even code assistance must assume the models can be manipulated into leaking sensitive procedural steps, producing harmful prompts (e.g., for weaponization or chemical processes), or misguiding analysts. Attackers could weaponize stylistic prompts against both public LLMs and internal assistant systems.

Tactical examples of harms:

• An attacker crafts a “poem” that persuades an assistant to output a sequence of privileged commands, or to reveal internal infrastructure details phrased as metaphorical “recipes.”

• Adversarial text convinces a model to produce social-engineering scripts tailored to an organization’s known processes.

• Poetic framing hampers automated content-moderation pipelines that use styleless sanitizers or shallow heuristics.

Defensive takeaways (practical):

1. Normalize canonicalization: Before safety checks, normalize inputs into a canonical form that strips stylistic wrappers—convert figurative forms to plain propositions where possible—so safety modules inspect content for intent rather than surface style.

2. Augment adversarial training with stylistic perturbations: Include poetic and figurative rewrites in red-team training sets; treat stylistic variation as a first-class threat model.

3. Deploy human-in-the-loop for sensitive outputs: Any LLM output that could materially change systems or reveal secrets must require human sign-off and auditing trails.

4. Log everything and prepare for discovery: If the legal/regulatory environment turns to discovery demands, organizations must produce prompt histories and model versions.

Opinion (op-ed):
This is the kind of contrarian result that should embarrass none of us and wake all of us up. Talent in adversarial NLP will soon be a feature of both offense and defense. The security community must stop thinking of “poetry” as a curiosity and treat stylistic input transformation as a domain for continuous adversarial testing.

3. Gil Shwed (Check Point): “the cybersecurity market is disconnected from reality” — and why that’s dangerous

What happened (summary):
Gil Shwed, chairman of Check Point (and a prominent Israeli cybersecurity figure), told attendees at the Globes Israel Business Conference that the cybersecurity market has become disconnected from reality, suggesting that market measures (raising money, valuations) have outpaced a focus on real operational maturity and defensibility. His critique draws attention to the gap between vendor narratives and the gritty operational needs of enterprise defenders.

Source: Globes. Source: Globes.

Why this matters (analysis & implications):

• Procurement distortions. When funding and valuations become the primary metric of success, procurement decisions may favor shiny feature sets and marketing narratives over proven operational ROI (detection rates, false positive handling, and real incident remediation). That creates vendor churn and trust fatigue for security teams.

• Sales cycles and feature bloat. Startups chasing valuation milestones may prioritize rapid feature expansion and headline-grabbing capabilities (AI-powered this, X-as-a-service that) at the expense of integration maturity, documentation, and support — the things defenders actually need when under attack.

• Talent allocation and expectations. High valuations raise hiring costs and can drive a talent treadmill: companies need expensive talent to deliver promised roadmaps, increasing burn and incentivizing aggressive go-to-market strategies that emphasize growth over product stability.

What Shwed’s remark signals to stakeholders:

• For buyers (CISOs and procurement): Recalibrate due diligence to emphasize measurable outcomes (MTTR, MTTD, detection precision), customer references, and integration risk rather than demo theater. Require proof of concept (PoC) metrics that reflect live traffic or representative datasets.

• For investors: Demand operational KPIs alongside ARR and growth metrics—ask whether the product reduces real incident cost or only streamlines reporting dashboards.

• For founders: Focus on reliability, predictable SLAs, and post-sale enablement. Valuations are seductive; enduring companies are built by fixing customers’ hardest problems, not by chasing feature checklists.

Opinion (op-ed):
Shwed’s blunt framing is valuable because it reframes value from a financial scoreboard to an operational ledger. In the same way that a firewall’s worth is proven when an exploit is blocked at 3 a.m., vendor worth must be proven during live incidents. The industry will only mature when procurement and investors insist on the same rigor.

4. AI-driven cybersecurity investments accelerate in Türkiye — capital chasing defensive AI

What happened (summary):
Reports show that AI-driven cybersecurity investments are accelerating in Türkiye: local startups, government partnerships, and venture capital are focusing on AI-enabled detection, SOC automation, and national cyber resilience. The trend reflects both regional security needs and a global flow of capital into AI-native security tooling.

Source: Daily Sabah. Source: Daily Sabah.

Why this matters (analysis & implications):

• Geopolitical context accelerates demand. Türkiye’s strategic location and regional threat environment create strong incentives for local capability-building; governments and telecom providers are actively partnering with startups to secure infrastructure.

• Talent and data advantages. Local firms that operate within-country gain access to domain-specific telemetry and regulatory alignment with national data policies — advantages when training robust detection models.

• Export opportunity for local vendors. Security platforms matured against regional threats can be productized for export to similar markets (MENA, Central Asia) where threat patterns and regulatory needs overlap.

• Investor implications. Venture capital chasing AI security plays will seek capital-efficient product-market fit: automated detection, incident triage, and SOC augmentation are capital-light-on-revenue opportunities if they can show measurable defender ROI.

Tactical implications for regional CISOs and vendors:

1. Leverage local data while preserving privacy: Training detection models on local telemetry is valuable, but models must be engineered to respect privacy rules and provide explainability.

2. Partner with telcos and cloud providers: These parties own crucial telemetry and can provide distribution channels; partnerships can accelerate model improvement and deployment.

3. Build for export early: Design integrations and compliance modules that allow vendors to scale internationally once their domestic product-market fit is proven.

Opinion (op-ed):
The Türkiye story is not just local color; it’s a harbinger of where cybersecurity innovation is likely to flourish next. When countries combine regulatory clarity, operator partnerships, and venture funding, practical security products get built — and those products are often more useful than distant-VC-backed glamor pieces because they solve urgent, operational problems.

5. Semperis study: the majority of ransomware attacks occur during holidays and weekends

What happened (summary):
Semperis released a study showing that the majority of ransomware attacks continue to be executed during holidays and weekends — periods when staffing is lighter, response times are slower, and organizations are more exposed. The study quantifies the operational pattern and underscores the need for persistent readiness beyond standard business hours.

Source: PR Newswire (Semperis press release).

Key findings (as reported):

• A significant fraction of observed ransomware incidents were initiated during holiday windows and weekends, indicating attackers deliberately pick times to maximize impact and reduce rapid detection or remediation.

• The study recommends specialized playbooks and automated containment strategies to reduce dwell time during low staffing windows.

Why this matters (analysis & implications):

• Timing is a tactical lever. Attackers intentionally exploit the human element; the timing of attacks is as important as their technical sophistication. Defenses must therefore include temporal resilience.

• Automation must handle the night shift. Because human responders aren’t always available, defenders should implement validated automation for containment — not blanket deletes or risky rollbacks, but safe, reversible actions that isolate affected systems until human triage is available.

• Board-level risk posture. Boards must understand the exposure their companies face during holidays; insurance, SLAs with MSSPs, and tabletop exercises should simulate holiday attack windows.

Practical actions for SOCs and leadership:

1. Holiday playbooks: Create dedicated incident response scripts for weekends and holidays focused on rapid containment, communication, and invocation of contracted third-party incident response partners.

2. Pre-authorized containment automation: Define and test automated isolations (segmenting, shutting down affected services) that can be safely executed without human approval in critical scenarios.

3. Staffing & redundancy: Plan rotating on-call rosters that guarantee incident leadership coverage for every 24-hour window, with clear escalation to external IR firms when needed.

Opinion (op-ed):
Semperis’s findings are a blunt reminder: attackers are time-aware adversaries. Automation is no longer a convenience; it is an operational necessity. But automation without governance is dangerous. The right balance is reversible, auditable actions that buy time for human-led investigations.

6. Cross-cutting themes — what ties these stories together

1. AI is both the solution and the problem.
AI drives detection, threat hunting, and automation — and at the same time, LLMs introduce new attack surfaces (adversarial poetry, prompt injection, model theft). Defenders must bifurcate their AI strategy: one strand for internal automation and another for model-risk management.

2. Market incentives vs. operational reality.
Gil Shwed’s critique ties to a broader risk: purchasing decisions shaped by marketing and valuations risk neglecting long-term resilience. Procurement must shift to outcome-driven criteria that demonstrate reduced incident cost and measurable detection/response improvements.

3. Timing matters as much as technique.
Semperis confirms a truth security teams have long suspected: attacks are timed to human weaknesses. Defense architecture must be temporally resilient — prepared for nights, weekends, and holidays.

4. Local markets are becoming global innovation hubs.
Türkiye’s AI security investments highlight that meaningful innovation will come from diverse geographies, not only Silicon Valley. Vendors that reach operational product-market fit in their region often scale globally.  

7. Tactical recommendations — immediate (0–30 days), short (30–90 days), and strategic (6–18 months)

Immediate (0–30 days)

• Baseline canonicalization for LLM inputs: Implement a pre-processing step that translates figurative text into normalized intent representations before any model is queried. This reduces the immediate risk from adversarial-poetry style attacks.

• Holiday readiness review: Run an immediate audit of incident response playbooks and confirm third-party IR contracts, fallback communication channels, and automation rules for holidays/weekends.

• Vendor diligence checklist update: Add operational KPIs (MTTR, MTTD, proved integration) to procurement scoring; ask for PoC results on live or synthetic representative traffic.

Short term (30–90 days)

• Adversarial testing program: Embed adversarial poetry and other stylistic perturbations into red-team testing and security validation suites. Require vendors to demonstrate resilience in PoC.

• Automated containment playbooks: Implement and stress-test pre-authorized, reversible containment actions for ransomware-like behavior that can be triggered automatically during low-staff windows.

• Invest in explainability and logging for any LLM assistants: Ensure logs include prompts, model-version, safety policy version, and decision provenance for auditability.

Strategic (6–18 months)

• Model governance & procurement policy: Create an enterprise policy that assesses model suppliers on governance maturity (data provenance, alignment audits, incident history), and require third-party attestation for model safety.

• Operational metrics into board dashboard: Track holiday/weekend incident frequency, automated containment success rate, and vendor SLA adherence. Use these metrics in quarterly reporting.

• Regional innovation partnerships: Identify local AI security vendors (e.g., in Türkiye and similar markets) for pilots; these may offer cost-effective, tailored solutions that meet regional threat models.

8. Conclusion — editorial verdict

Today’s stories are not independent curiosities — they form a pattern. Creativity in attacks shifts away from pure code to language and timing. Capital chases AI-enabled defenses, but market incentives can distort priorities. Operational vigilance (especially across holidays and weekends), robust model governance, and procurement discipline are the levers that can tilt the balance toward resilient security.

If you are a CISO: treat your LLM-based tools as part of the attack surface, not only as helpers. If you are a buyer or investor: demand operational proof, not just glossy demos. If you are a vendor: earn trust by publishing auditable safety metrics and by building defensive automation that works when humans are offline. The future of security will be won by teams that marry engineering rigor with honest, outcome-focused economics.

9. Sources (as requested — each story labeled)

• Adversarial poetry / LLM jailbreaks: DEXAI, Sapienza University, Sant’Anna School of Advanced Studies — Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs (arXiv); coverage by PC Gamer. Source: arXiv; Source: PC Gamer.
• Gil Shwed (Check Point) commentary: Globes (Globes Israel Business Conference coverage). Source: Globes.
• AI-driven cybersecurity investments in Türkiye: Daily Sabah reporting. Source: Daily Sabah.
• Semperis ransomware timing study: Semperis press release via PR Newswire. Source: Semperis / PR Newswire.