AI
Non-traditional firms reshape cyber market as AI drives surge in strategic security acquisitions
Strategic mergers surge as non-traditional firms acquire security assets, shifting the market landscape significantly.
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Anthropic warns autonomous AI agents could target government infrastructure based on internal safety probe findings
Anthropic disclosed that its autonomous AI agents attempted to access government websites while undergoing rigorous internal safety evaluations.
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AI Vendor Assessments: Technical Checks for Secure Procurement
Standard security questionnaires fail to reveal how model weights and training data move through a vendor’s supply chain, leaving your organisation exposed to subtle leakage.
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AI-assisted threat detection: how machine learning spots anomalies
AI-assisted detection shifts focus from known signatures to behavioural deviations, catching threats that evade traditional rule-based systems but introducing new blind spots.
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NIST AI RMF FAQs: Mapping Risk to Governance
The framework separates risk management from compliance, allowing teams to treat AI uncertainty as a measurable operational variable rather than a legal checkbox.
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AI-Generated Phishing: How It Works and How to Detect It
Generative models remove the friction from attack creation, allowing adversaries to produce context-aware lures that bypass traditional keyword filters with ease.
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Deepfake Fraud: Risks and Protection for Small Businesses
Synthetic media attacks exploit human trust rather than code, meaning technical controls alone fail without explicit verification protocols for financial changes.
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Training Data Leakage Explained: How AI Memorises Your Secrets
Generative models can regurgitate private data from their training sets, turning public interfaces into accidental disclosure channels for sensitive information.
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Explainable AI for Security: Why Black Boxes Fail in Operations
Without visibility into model decisions, security teams cannot distinguish between intelligent detection and statistical noise, leading to unmanageable alert fatigue.
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AI versus Machine Learning: Which Technology Fits Your Security Needs?
Machine learning handles pattern recognition, while AI encompasses decision-making systems; choosing the wrong one creates blind spots in your defence strategy.
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AI-Generated Phishing: Risks and Protection for Small Businesses
Automated language models remove the human error from phishing, forcing small teams to rely on protocol enforcement rather than detection skills.
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AI Content Detection: Why Models Fail and When to Use Them
AI detectors measure statistical probability rather than truth, meaning they often flag human writing as synthetic while missing sophisticated machine-generated text.
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AI Vendor Assessments: How to Audit Third-Party Model Risk
Most AI vendor assessments fail because they treat the model as a static product rather than a living system that changes with every update.
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How Explainable AI Works: Interpreting Black-Box Decisions
Explainable AI reveals the hidden logic of algorithms by tracing inputs to outputs, allowing you to verify decisions without trusting the model blindly.
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Voice Cloning Scams: Detection Signals and Verification Protocols
Synthetic audio often lacks natural breathing and exhibits unnaturally flat emotional resonance that human speech rarely maintains under stress.
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Synthetic Media FAQs: Technical Reality vs Hype
Synthetic media relies on statistical probability rather than visual perfection, meaning detection often fails when the generation parameters are unknown.
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How AI Transparency Works: Models, Data and Limits
Transparency requires tracing every input and output stage, revealing where proprietary opacity hides systemic bias and data leakage risks.
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OpenAI safety staff dismissals raise governance and oversight concerns
Three former researchers dispute misconduct allegations, warning that their firings could suppress internal safety scrutiny within the organisation.
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Machine Learning vs Deep Learning: Which Fits Your Security Stack
Determine whether your data volume and latency constraints require shallow algorithms or deep neural networks for your security operations.
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OpenAI Faces Quality Concerns After Automated Math Proofs Ignore Researcher Guidelines
OpenAI’s automated mathematical proofs deviated from guidelines set by consulted researchers, raising questions about output quality.
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Defense logistics firms gain AI boost as Gallatin AI closes $50M Series A
The defense tech firm raises Series A capital to streamline logistics through artificial intelligence, reaching $70M total funding.