Discover the latest trends and forecasts in information security with expert analysis and predictions for a safer digital future.
Search across headline titles and summaries.
Background for this topic.
Prediction is the process of using data analysis and modeling to forecast future events or behaviors within the realm of information security. In this context, prediction involves leveraging historical data, identifying patterns of malicious activity, and applying statistical and machine learning algorithms to anticipate potential security threats before they materialize. By predicting attacks or vulnerabilities, organizations can proactively implement defenses, tailor their security measures, and prioritize resources to mitigate risks effectively. Accurate predictions enable cybersecurity professionals to stay ahead of hackers by forewarning of possible breaches, emerging malware, and sophisticated cyberattack strategies. As the cyber threat landscape continuously evolves, the ability to predict and prepare for the next wave of security challenges is a crucial aspect of an effective cybersecurity strategy.
Weekly headline count for the current query.
A Google security engineer was charged with insider trading after winning $1.2 million using confidential company data to place bets on the cryptocurrency-based Polymarket decentralized prediction market. [...]
Michele Spagnuolo allegedly placed multiple trades on the prediction marketplace, abusing internal access to Google’s nonpublic data on the most searched people in 2025. The post Google security engineer accused of turning confidential search trends into $1.2M win on Polymarket appeared first on CyberScoop.
A Live Panel Discussion with CyberEdBoard and FortinetSecure Access Service Edge is entering mainstream adoption. Enterprises are shifting from point solutions to platforms. And AI is now at the core of SASE.
In 2025, navigating the digital seas still felt like a matter of direction. Organizations charted routes, watched the horizon, and adjusted course to reach safe harbors of resilience, trust, and compliance
Agentic AI Is Reshaping Security Faster Than Traditional Defenses Can Keep UpAgentic artificial intelligence is fundamentally altering organizational workflows and how risk materializes. In 2026, emerging cybersecurity trends will push organizations to move from deterministic, rule-based risk models toward adaptive models built for autonomous, non-deterministic systems.
Agentic AI Is Reshaping Security Faster Than Traditional Defenses Can Keep UpAgentic artificial intelligence is fundamentally altering organizational workflows and how risk materializes. In 2026, emerging cybersecurity trends will push organizations to move from deterministic, rule-based risk models toward adaptive models built for autonomous, non-deterministic systems.
OpenAI is rolling out an age prediction model on ChatGPT to detect your age and apply possible safety-related restrictions to prevent misuse by teens. [...]
As organizations plan for 2026, cybersecurity predictions are everywhere. Yet many strategies are still shaped by headlines and speculation rather than evidence. The real challenge isn’t a lack of forecasts—it’s identifying which predictions reflect real, emerging risks and which can safely be ignored
Cybersecurity experts discuss 2026 predictions, highlighting the rise of AI-driven threats, the shift to resilience over prevention, and the urgent need for advanced security measures to combat evolving risks
Agentic AI adoption and identity security risks, IGA expands in mid-market, SOC-identity team collaboration, and identity platform consolidation—this 2026 predictions post previews identity trends.
The year ahead will see an intensified AI-driven cybersecurity arms race, with attackers leveraging autonomous malware and advanced AI technologies to outpace defenders, while security teams adopt increasingly sophisticated AI tools to combat evolving threats amidst growing vendor consolidation and platformization in the industry.
What Will Lead Next Year's Cloud Security Agenda?As 2026 approaches, one thing is certain: Artificial intelligence adoption will continue to accelerate at an extraordinary pace. CISOs will be tasked with maintaining security and control as hybrid cloud environments grow more distributed, automated and interconnected.
Ethicist Harry Farmer on Data Privacy, Predictive Analytics and Fairness IssuesArtificial intelligence, particularly machine learning, is transforming genomics by enabling powerful predictions about health and human traits from DNA data. But this convergence of technologies raises major red flags related to data privacy and security, said senior researcher Harry Farmer.
Security doesn’t fail at the point of breach. It fails at the point of impact. That line set the tone for this year’s Picus Breach and Simulation (BAS) Summit, where researchers, practitioners, and CISOs all echoed the same theme: cyber defense is no longer about prediction. It's about proof
BeyondTrust’s annual cybersecurity predictions point to a year where old defenses will fail quietly, and new attack vectors will surge
Researchers at ETH Zürich have discovered yet another security flaw that they say impacts all modern Intel CPUs and causes them to leak sensitive data from memory, showing that the vulnerability known as Spectre continues to haunt computer systems after more than seven years
ETH Zurich boffins exploit branch prediction race condition to steal info from memory, fixes have mild perf hit Researchers at ETH Zurich in Switzerland have found a way around Intel's defenses against Spectre, a family of data-leaking flaws in the x86 giant's processor designs that simply won't die.…
'In 50 years, I think we'll view these business practices like we view sweatshops today' Interview It has been nearly a decade since famed cryptographer and privacy expert Bruce Schneier released the book Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World - an examination of how government agencies and tech giants exploit personal data. Today, his predictions feel eerily accurate.…