Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
Akamai launched Valkey Managed Database, a low-latency in-memory data layer aimed at cutting AI inference costs and accelerating RAG.
Akamai introduced Valkey Managed Database, a managed in-memory data service based on the open-source Valkey project. The company positions it as real-time memory for enterprise AI, optimizing inference costs, accelerating retrieval-augmented generation, and powering real-time AI agents.
Akamai launched an AI Assistant for Web Security Analytics, giving SOC and AppSec teams natural-language event investigation and guided response actions.
Akamai introduced an AI Assistant integrated with its Web Security Analytics offering, designed to let SOC and AppSec teams investigate security events faster. The assistant supports natural-language queries and guided action recommendations for analysts. The announcement is a vendor product launch with no incident details.
Akamai outlines an approach to streamlining application and API discovery and governance to reduce application and API risk.
An Akamai blog post addresses streamlining application and API discovery and governance as a way to manage application and API risk. Article body was not available, so specific product details, findings, and recommendations could not be extracted. The piece appears oriented toward Akamai's application and API security capabilities for inventorying and governing APIs.
Akamai introduced more granular controls for managing AI bot traffic within its bot management platform.
Akamai announced the introduction of more granular controls for handling AI bot traffic in its bot management offering. Detailed feature specifications were not available in the provided source text, which included only the title.
Akamai named a Strong Performer in the 2026 Gartner Peer Insights report for Secure Email Boundary solutions.
Akamai announced it was recognized as a Strong Performer in the 2026 Gartner Peer Insights report for Secure Email Boundary (SEB). No additional article details were available beyond the announcement title.
Akamai announces PacketFence Cloud, delivering PacketFence enterprise network access control as a managed service.
Akamai published a blog post introducing PacketFence Cloud, an offering that delivers enterprise network access control (NAC) as a managed service. No further article text was available, so additional technical details are limited.
Akamai honeypots reveal attackers brute-forcing RDP credentials to download and execute a previously undetected malware family named Trojan.sysscan.
Akamai's deception technology rerouted intruders into honeypots, revealing attacks that brute-force passwords for RDP credentials to access victims. Once connected, the attackers download and execute a previously undetected malware family that Akamai named Trojan.sysscan. The intrusions target exposed RDP services through opportunistic credential guessing.
Akamai describes using AI-assisted custom rules to close the gap between threat detection and active protection in security operations.
Akamai published a blog post on AI-assisted custom rules intended to close the gap between detecting threats and enforcing protections. The post appears to be a vendor capability discussion for security operations teams. No article text was available beyond the title, so further technical details are limited.
A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.
Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.
Akamai published a technical breakdown of the architecture and safety controls behind its AI-powered WAF detections.
Akamai published a technical blog post examining the architecture of its AI-powered web application firewall detections. Per the title, the piece covers the design and safety controls applied to machine-learning-based WAF detections.
Akamai outlines a customer-first pricing approach for its application protection and web application security offerings.
Akamai published a vendor piece describing its customer-first approach to application protection costs. The article concerns pricing for its web application and API security offerings rather than a security incident. No technical details were available in the source text.
SOCRadar reports underground posts claiming a Bangladeshi e-commerce database, Vedicline data leak, Langflow RCE, ASUS breach, and energy-sector shell access.
SOCRadar's Dark Web Team identified several new underground posts, including an alleged Bangladeshi e-commerce customer database offered for sale. The roundup also covers a claimed Vedicline data leak, Langflow remote code execution, an ASUS breach claim, and energy-sector shell access sales. Details on record counts and victims were not provided in the excerpt.
Oxide's RFD 0301 proposes a rack-level key hierarchy using Shamir secret sharing and a trust quorum to protect data-at-rest keys.
Oxide's request for discussion (RFD 0301) lays out a key-hierarchy strategy for rack-level security, deriving keys from a rack secret protected by Shamir secret sharing across a trust quorum of sleds, with keys exchanged over authenticated sprockets sessions. The document maps which keys protect control-plane data, metrics, Crucible extents, and authentication tokens, and defines open questions on key lifecycle, locality, and compromise handling. Future work includes sealing shares with the root of trust so an attacker would need to steal K whole sleds to reconstruct the rack secret.
Akamai published vendor marketing on how its platform defends customers against zero-day exploits before industry-wide disclosure.
Akamai published a blog post titled 'Zero-Day Dominance: How Akamai Defends Before the Industry Discloses'; no article body text was available. Based on the title, the piece promotes Akamai's capabilities for protecting customers from zero-day exploits ahead of public disclosure. No specific vulnerabilities, CVEs, incidents, or customers are identified.
Akamai analyzes the OWASP Top 10 for LLM Applications 2026, which shifts focus from model-level risks to agentic AI security.
The OWASP Top 10 for LLM Applications has been updated for 2026, and Akamai published an analysis of the revised list. Per the title, the 2026 edition shifts emphasis from model-level risks toward the security of agentic AI systems, framed as a realistic security model. No article body was available, so the specific ranked risk entries cannot be enumerated.
Akamai analyzes the architecture of AI-orchestrated web attacks, examining how AI-driven automation is reshaping offensive web operations.
Akamai published an analysis deconstructing the architecture of web attacks orchestrated with AI, based on the available title. The piece examines how AI-driven automation changes the structure of offensive web operations. No article text was provided, so specific findings are limited.
Akamai's August 2026 blog details ongoing strengthening of its cloud platform foundation.
Akamai published an updated August 2026 post describing continued improvements to Akamai Cloud's foundational capabilities. The post is routine vendor product-update content with no security incident or vulnerability details.
Asimily CEO Shankar Somasundaram outlines a risk-based vulnerability management approach using inventory, attack paths, KEV and EPSS data.
In a Help Net Security video, Asimily CEO Shankar Somasundaram argues patching everything is infeasible as AI-driven attacks inflate vulnerability counts, with one customer finding a thousand unknowns for each known one. He recommends building a full inventory of devices, applications, and data flows, mapping attack paths for reachability, and prioritizing with KEV, EPSS, and business impact. Mitigations include patching, virtual patching via NACs and firewalls, segmentation, and configuration snapshots to detect drift.
Latent Space launches an AEO tracker scoring 7 frontier models' product recommendations across 161 categories, revealing generational bias flips.
Latent Space built a tracker measuring Answer Engine Optimization by running 6 prompt variations across 7 frontier models with search enabled over 161 product categories, scoring first choices, alternatives, mentions, and anti-recommendations. It found 28 categories with a universally dominant primary choice and observed soft biases, such as models favoring their own lab's coding agents. Analysis of Anthropic's Sol→Astra and Opus→Fable generations showed newer models consulting fewer sources and being less likely to change answers when questions are paraphrased.
Forrester named Akamai a Leader in The Forrester Wave: Microsegmentation Solutions, Q3 2026 evaluation.
Akamai announced it was named a Leader in The Forrester Wave: Microsegmentation Solutions, Q3 2026. The designation is an analyst ranking of microsegmentation vendors and carries no direct threat or incident impact. No additional article text was available.
Researchers propose a parameterized governance model and maturity ladder for Bring Your Own AI, finding data exposure and compliance dominate BYOAI risks.
The paper studies Bring Your Own AI (BYOAI), where employees use personal generative AI accounts such as ChatGPT, Gemini, and Claude outside enterprise identity and security controls. Drawing on a curated corpus of 30 records (24 studies and 6 framework documents), the authors build a risk taxonomy, a five-level governance maturity ladder, and a parameterized model linking control-layer coverage to residual risk. Findings highlight data exposure and compliance as the most prominent risks, inconsistent framework engagement, and evidence that layered technical controls reduce modeled exfiltration risk more than prohibition-based approaches.
Governed enterprise analytics study shows deterministic policy execution matched 110/110 answer-and-evidence contracts while runtime agent planning matched none.
The paper studies a governed approach where a language model interprets the question while deterministic policy selects and runs a pre-approved analytical program returning results and evidence. Across 440 runs, three 8B models generated SQL and selected tools at runtime, while Qwen3-8B only interpreted intent and policy executed the approved program. None of 330 runtime-planning episodes satisfied the full answer-and-evidence contract, whereas the policy-executed analyzer matched 110 of 110. The authors note this is configuration-specific and expressiveness is preserved via relational operations, aggregation, comparison, windows, ranking, and similarity with replayable results.
A 2026 buyer's guide compares 12 endpoint privilege management tools, ranking CyberArk and BeyondTrust as enterprise leaders.
An editorial comparison evaluates 12 endpoint privilege management (EPM) tools on elevation control, manageability, and pricing model. The guide argues that standing local-admin rights fuel ransomware and lateral movement, making their removal a high-impact control that cyber insurers increasingly mandate. CyberArk and BeyondTrust are positioned as enterprise-depth leaders, with Delinea, Heimdal, and ManageEngine for the mid-market, and Admin By Request and CyberFOX AutoElevate for SMBs and MSPs. Pricing is generally per endpoint or per user, and the article is explicitly an assessment rather than a product release or incident report.
MBZUAI's IFM released K2 Horizon, six Apache 2.0 models (0.9B-375B) with open training data, code, and checkpoints, claiming the largest fully open-source launch.
The Institute of Foundation Models (IFM), launched by MBZUAI, released K2 Horizon: six Apache 2.0 models (0.9B, 3.7B, 7B, 32B, 36B-A4B, 375B-A23B) shipping with the ~20-trillion-token pretraining corpus, intermediate checkpoints, training code, and logs, which IFM calls the largest fully open-source launch in AI history. The 375B-A23B scores 70.2 on Terminal-Bench 2.1 and 87.3 on GPQA Diamond; the 7B model posts 70.6 on SWE-bench Verified. New techniques include MoVA, which extends MoE routing into attention (36B total, ~4B active), and Uno, a LoRA adapter giving roughly 3x lossless decoding speedup. IFM's own reward-hacking audit re-scored 375B-A23B from 70.2% to 66.9% after flagging 24 of 712 Terminal-Bench trials.
SecurityWeek opinion piece proposes ORKS, an open standard adding issuer prefixes, discovery files, and unauthenticated revocation endpoints to make leaked API keys quickly revocable.
The article argues that plain API keys leak frequently yet lack any standardized revocation mechanism, unlike OAuth tokens which gained RFC 7009 revocation in 2013, and that GitHub's Secret Scanning Partner Program solves this only in a proprietary, invite-only way. The author proposes ORKS (Open Revocable Key Standard), with a draft spec on GitHub, built on four parts: keys embedding their issuer domain in a fixed prefix format, a discoverable /.well-known/api-key-config JSON file, unauthenticated revocation by possession of the full key, and declared constraints such as IP allowlists, expiry, scopes, and mTLS. An optional quarantine mode inspired by Toyota's andon cord restricts a reported key to read-only and throttled operation for a default 24-hour window before automatic revocation. The piece frames AI agents as making this urgent, since agents hold many credentials, can exfiltrate them via prompt injection, and can leak secrets into logs at machine speed.
Fortunate Recall introduces ontology-based lifecycle policies for LLM memory, cutting confabulation roughly in half (e.g., 45.1% to 22.4%) versus Mem0.
Fortunate Recall (FR) is a composable policy layer that classifies personal facts into a 10+1 behavioral ontology and applies category-specific lifecycle rules including differential temporal decay, slot-key supersession, event-time validity, and retrieval routing. FR-Bank scores 76.9% on the new 516-question LifecycleBench, ahead of Mem0, A-MEM, Memory-R1, and MemoryOS (61%-70.5%), and 75.2% on LongMemEval-S. End-to-end, confabulation drops from Mem0's 45.1% to 22.4% over answered queries, with the ranking replicating on open-weight Kimi K2.5 and transferring to the independent BEAM benchmark (46.8% vs 32.9%).
Intuition Machines CEO proposes data diodes and one-way networks to physically prevent frontier AI models from escaping training sandboxes, citing the OpenAI Hugging Face incident.
Eli-Shaoul Khedouri, CEO of Intuition Machines, argues that sandboxes, permissions, and VMs are insufficient to contain frontier models, pointing to OpenAI's hack of Hugging Face as evidence. He proposes high assurance architectures modeled on classified SCIF environments: one-way optical data diodes for training inputs and telemetry, a sel4-verified receiver, immutable snapshots of registries like PyPI, GitHub, and npm, and mocked web services. He estimates under five percent overhead per gigawatt for such clusters, but notes frontier labs have not adopted them, largely because of competitive speed rather than cost.
Akamai details behavioral telemetry signals for identifying agentic automation traffic in the second part of its research series.
Akamai published part two of its series on identifying agentic automation using behavioral telemetry. The post appears on Akamai's security research blog and focuses on detecting AI-agent-driven traffic. Full article text was unavailable at classification time, so classification relies on the title and source.
Akamai reports AI-powered brand abuse is driving financial fraud against banks and promotes its Brand Guardian defense.
Akamai describes AI-powered brand abuse as a growing driver of financial fraud against banks. The post outlines the threats and the business impact for financial institutions. It also promotes Akamai Brand Guardian as a mitigation for financial institutions.
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