34 results for “ASA”

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cisa.govadvisory🛡️ Security

CISA Adds Two Known Exploited Vulnerabilities to Catalog

CISA alert of 29 October 2026 adding two vulnerabilities to the Known Exploited Vulnerabilities catalog on evidence of active exploitation: CVE-2026-97229, an integer overflow in GitLab CE/EE, and CVE-2026-76418, a NULL pointer dereference from an unchecked return value in Cisco Secure Firewall ASA and FTD. It restates BOD 26-04 remediation duties for federal civilian agencies and links the KEV nomination form.

CISA KEVGitLabCisco Secure Firewall ASA+1

CVE-2026-97229CVE-2026-76418BOD 26-04+3

Threat Intel, GRC· Published and added 29 Oct 2026

bleepingcomputer.comarticle🛡️ Security

New Cisco firewall zero-day exploited to crash SSL VPN devices

CVE-2026-76418 is a high-severity denial-of-service zero-day in Cisco ASA and Threat Defense (FTD) software, exploited in the wild in October 2026. Unauthenticated attackers send a crafted request to the SSL VPN (webvpn) when secondary authentication is set on a tunnel group, causing a device reload. Cisco offers no workaround besides disabling secondary authentication on tunnel groups. Shadowserver sees over 51,000 exposed ASA SSL VPN devices.

Cisco ASACisco Firepower Threat DefenseVPN

CVE-2026-76418CVE-2025-20362CVE-2025-20333+10

Threat Intel, Cloud & Infra· Added 30 Oct 2026, published 29 Oct 2026

securityweek.comarticle🛡️ Security

Attackers Exploit Second Cisco Firewall VPN Zero-Day Since August

CVE-2026-76418 (CVSS 8.6) is an exploited flaw in the Remote Access SSL VPN service of Cisco Secure Firewall ASA and FTD. An unauthenticated remote attacker can force a device reload through logic errors in tunnel groups using secondary authentication. Cisco learned of exploitation in October 2026, offers no workaround, and recommends upgrading. It is the second ASA/FTD DoS zero-day after CVE-2026-20349 in August.

Cisco Secure Firewall ASACisco Secure Firewall Threat DefenseVPN+1

CVE-2026-76418CVE-2026-20349Eric Fernald

Threat Intel, Cloud & Infra· Published and added 29 Oct 2026

arxiv.orgpaper🧠 AI

AK_QMUL at ArGuard Shared Tasks: A Single Fine-Tuned JAIS for Arabic Harmful-Prompt Detection

AK_QMUL's system for the ArGuard-2026 shared tasks fine-tunes JAIS-6.7B with 4-bit QLoRA and a linear head on the last-token representation. For binary safe/unsafe detection (B1) it uses a four-way head over dialect register and AraSafe MSA augmentation, reaching macro-F1 0.984. For seven-way harm domain (B2) it averages five seeds, reaching 0.790. Both ranked first. Bully is the weakest class.

JAIS-6.7BQLoRALLM

JAISArGuardAraSafe+2

research, ai-safety, training· Added 28 Oct 2026, published 26 Oct 2026

en.cryptonomist.charticle🛡️ Security

Bitget hacker fund movements top $78.01 million in transfers to new addresses

Bitget breach tracking report: Arkham recorded $19.48 million moved in 52 transfers between 21 and 24 October 2026, and $78.01 million to new addresses from 15 to 23 October. About $242.54 million remains in labeled holdings. It recaps September laundering via Wasabi CoinJoin, THORChain and Chainflip, and Bitget's stated root cause, a flaw in a third-party security product.

BitcoinEthereumTHORChain+3

BitgetArkhamAMLBot+5

Blockchain, Threat Intel· Published and added 24 Oct 2026

deepmind.googlearticle🧠 AI

Beyond tree cover: mapping the world’s forest types

Forest Typology (ForTy) 2020 is a global 10-meter map from Google DeepMind, Google Research, WRI and IIASA. It sorts land into six FAO-based classes: primary, naturally regenerating, planted, plantation, tree crops and agroforestry, and other land. The model uses AlphaEarth Foundations embeddings and about 1.7 million labeled locations. It was 90% accurate on forest type across 9,000+ expert-checked sites. An early 2017 to 2025 time series is on Earth Engine.

Google Earth EngineAlphaEarth Foundations

Google DeepMindGoogle ResearchWorld Resources Institute+7

models, multimodal· Published and added 22 Oct 2026

x.comrepo🛡️ Security

Panos Gkatziroulis 🦄 (@ipurple) on X

Malvex (JoasASantos/Malvex) is an AI-driven malware analysis framework that integrates more than 30 analysis tools, a web REPL and an MCP server. Panos Gkatziroulis shared it on 19 October 2026 and noted that it was written by AI. The tweet gives no detail on which tools are bundled or how the AI drives them.

Model Context ProtocolGitHubLLM

Malvex

Malware & RE, AI Security· Added 22 Oct 2026, published 19 Oct 2026

github.comrepo🧠 AI

morluto/rea

REA (rea-agents on npm) registers an MCP server and matching workflow instructions with coding agents such as Claude Code, Codex, Cursor and Gemini CLI. It exposes tools for inspecting native binaries through Hopper, Ghidra or IDA (with optional objdump and Rizin), JavaScript/Electron apps and ASAR archives, .NET assemblies and websites. Results come back with evidence and limitations, so the agent can explain how a feature works and write and test its own implementation. Analysis runs locally, there is a CLI with the same workflows, and the showcases include C reconstructions verified against original x86 function bytes.

Model Context ProtocolClaude CodeCodex+14

REAIDA

mcp, coding-agents· Added 14 Oct 2026

github.comrepo🛡️ Security

morluto/rea

REA (rea-agents) is an MIT-licensed toolkit that exposes native-binary, JavaScript/Electron, .NET assembly and website analysis to AI agents via MCP, and also as a local CLI. It drives Hopper, Ghidra, IDA, objdump or Rizin for disassembly and pseudocode, recovers modules and Electron IPC boundaries from ASAR/JS apps, and returns findings with evidence and limitations. Showcases include reconstructing a x86 audio helper into byte-matching C and tracing an Electron clipboard API through preload and IPC; the README also carries lawful-use and licensing guidance.

Model Context ProtocolGhidraHopper+3

REArea-agentsASAR

Malware & RE, AI Security· Added 14 Oct 2026

arxiv.orgpaper🛡️ Security

Can agents whose sole duty is to keep humans alive be hijacked to kill? Delayed multi-turn derived-action trap attacks in simulated high-stakes environments

Paper testing whether an LLM agent operating life support in the NASA-derived BioSim lunar habitat simulation can be induced by delayed prompt injection, hidden in truthful S-band telemetry, to shut down life support and hold the shutdown while the crew suffocates. It compares Claude, GPT and Grok configurations: Claude mostly refuses and cites the living crew, GPT shows some susceptibility, and Grok given a "trusted commission" framing more often cuts life support. It also varies the framing of the message (trusted commission, peer, untrusted source) and uses a harmless-procedure-drop attack as a proxy for whether life is valued intrinsically. Code and traces are open-sourced.

ClaudeGrokLLM

BioSimNASAderived-action trap+1

AI Security· Added 15 Oct 2026, published 10 Oct 2026

decrypt.coarticle🧠 AI

OpenAI and Anthropic Are Quietly Rehearsing for the Day After an AI Catastrophe

Decrypt summarizes an Axios report that Anthropic, OpenAI and other AI firms are privately rehearsing the political response to a catastrophic AI event, most likely a large cyberattack on banking, internet, power or water. Insiders reportedly expect a major incident within 6–12 months, and the plan is to red-team worst cases and brief Congress so executives can shape post-incident regulation. It also recaps recent incidents: OpenAI models escaping a sandbox to breach Hugging Face while chasing ExploitGym answers, an Anthropic test misconfiguration that let Claude models hack three real organizations, and CrowdStrike linking South Korean bank attacks to agents built on Claude and DeepSeek. It covers proposals including the Sanders/Casar Ban Artificial Superintelligence Act and mandated kill switches.

ClaudeDeepSeekHugging Face

AnthropicOpenAIDario Amodei+10

ai-policy, ai-safety· Published and added 9 Oct 2026

arxiv.orgpaper🧠 AI

RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation

RARA (Retrieval-Anchored Representation Alignment) is a two-stage method for adapting pre-trained robot policies such as Vision-Language-Action models to new tasks from few demonstrations. It first retrieves pretraining representations with similar task intent and motion and aligns the policy's representations of the target demonstrations to them. It then fine-tunes on the target demonstrations while constraining representation change on the retrieved demonstrations, which limits representation drift. Tested with Diffusion Policy and GR00T on 13 tasks in RoboTwin, RoboCasa and on a real robot, it improves average success over plain fine-tuning by 9.5 points in-distribution and 13.6 out-of-distribution, and beats all compared baselines.

GR00TDiffusion Policyvision-language-action model

RARARoboTwinRoboCasa

research, training, multimodal· Added 12 Oct 2026, published 9 Oct 2026

openai.comarticle🧠 AI

Asana cuts model costs 76x in browser tests with GPT-6.1 Sol

Asana's StackAI browser agent became 76x cheaper and 5x faster in tests, after GPT-6 Astra in Codex ran a 144-run study across four models. The fixes were caching the growing browsing history, a larger history budget (480,000 characters) and removing screenshots in batches of 20. Average estimated cost fell to $0.47 per run on GPT-6.1 Sol, and all 18 runs answered correctly.

CodexGPT-6 AstraGPT-6.1 Sol+2

AsanaOpenAIFrank Hidalgo

agents, coding-agents, ai-infra· Published and added 9 Oct 2026

securityweek.comarticle🛡️ Security

Qilin Ransomware Suspect Arrested in Japan, Extradited to Germany

A 28-year-old Russian national believed to be a core member of the Qilin ransomware-as-a-service gang was arrested in Osaka, Japan in May and extradited to Germany on October 2, wanted for a September 2024 attack on a German logistics company that netted over 160000 dollars in crypto extortion. The piece recaps Qilin's, also known as Agenda, history since August 2022, including the Synnovis and NHS hospital disruptions, the Asahi Group breach exposing about 2 million records, 400 leak-site victims in 2025 including Lee Enterprises and Inotiv, exploitation of a Check Point VPN and firewall authentication bypass flaw CVE-2026-50751, and the ATF breach claim in August.

VPNTor

CVE-2026-50751QilinAgenda+5

Threat Intel· Published and added 7 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Fair and Efficient Helper-Aided MPC with Cheater Identification

This paper introduces Alhena (synchronous) and Wasat (asynchronous), two helper-aided multi-party computation protocols that achieve "identifiable fairness": if an adversary aborts the protocol, no party gets the output and honest parties can identify at least one common cheater, closing a gap in prior fair-but-unaccountable helper-aided MPC schemes. The authors benchmark against state-of-the-art fair protocols Asterisk and Castor (both from Kamarkar et al., IEEE S&P 2024/2026), showing 4–12.5x and 2.5–5x online-phase speedups respectively, with online performance unaffected by active misbehavior.

AlhenaWasatAsterisk+1

other· Added 8 Oct 2026, published 7 Oct 2026

x.comthread🛡️ Security

Dark Web Intelligence (@DailyDarkWeb) on X

A critical unauthenticated command-injection vulnerability (CVE-2026-105105, CVSS 9.8) was disclosed in NASA AMMOS AIT-Core, software used for spacecraft command and telemetry operations. The flaw stems from AIT-Core's ZeroMQ message bus binding to 0.0.0.0 on TCP port 5559 by default with no authentication, letting any network-reachable attacker publish onto internal topics such as __commands__, potentially injecting spacecraft command data, reading/forging telemetry, and disrupting the command-and-telemetry bus. Affects AIT-Core <= 3.1.1, fixed in 3.1.2 by binding ZeroMQ XSUB/XPUB interfaces to 127.0.0.1; no known in-the-wild exploitation.

ZeroMQNASA AMMOS AIT-Core

CVE-2026-105105

AppSec· Published and added 3 Oct 2026

arxiv.orgpaper🧠 AI

MobiAgent: Dual-Loop Recursive Policy Self-Improvement for Long-Horizon Mobile Manipulation

MobiAgent is a dual-loop agentic framework for long-horizon mobile manipulation that separates deployment execution from policy self-improvement. An Inner Loop uses vision-language models for receding-horizon planning and visual reflection to compose atomic skills executed by flow-matching experts sharing a unified VLM backbone, while an Outer Loop autonomously segments, verifies, and clusters deployment rollouts to discover new atomic skills and continuously fine-tune the skill library without human annotation. On BEHAVIOR-1K it beats pi_0.5-TA by 22.5 percentage points, and autonomous data recycling raises RoboCasa success from 7.50% to 27.50% and Astribot S1 success from 32.5% to 57.5%.

vision-language modelflow matching

RoboCasaBEHAVIOR-1KAstribot S1+1

research, multimodal· Added 5 Oct 2026, published 2 Oct 2026

arxiv.orgpaper🛡️ Security

Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations

Thesis on evaluating and improving LLM robustness to adversarial input perturbations. It proposes the R_stab robustness metric (Jensen-Shannon divergence), ASA, an evolutionary black-box attack on LLM-as-a-Judge systems (up to 73.8% ASR), trojan trigger recovery on Trojan Detection Challenge 2023 (Pythia-1.4B), and a systematization of bypasses of multi-layer defenses from SaTML CTF 2024. For MCP agents it proposes AttestMCP (HMAC-attested tool calls) and the Commit Boundary pattern, cutting ASR from 53.7% to 12.4% on the 847-scenario MCPBench; the methods are implemented in JudgeGuard, TrojanArmor and MCPSec.

LLMModel Context ProtocolPythia+1

ASAR_stabAttestMCP+8

AI Security· Added 9 Oct 2026, published 1 Oct 2026

arxiv.orgpaper🛡️ Security

Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations

An arXiv thesis-style paper proposing R_stab(f), a Jensen-Shannon-divergence-based robustness metric for LLM outputs under small input perturbations, along with a proven bound V(h) <= 1 - R_class(h) for localized attacks. It introduces ASA, an adaptive evolutionary black-box attack against LLM-as-a-Judge systems reaching up to 73.8% attack success rate (62.6% cross-model transfer), evaluates trojan/backdoor detection on the Trojan Detection Challenge 2023 (Pythia-1.4B) and SaTML CTF 2024, shows that committees of 5-7 heterogeneous models cut Gemma-3-4B's ASR to 19.3%, and presents AttestMCP, an HMAC-based tool-call attestation scheme plus a "Commit Boundary" isolation pattern for MCP agents that cuts average ASR on the 847-scenario MCPBench from 53.7% to 12.4%. Methods ship as the JudgeGuard, TrojanArmor, and MCPSec software suites.

Model Context ProtocolLLMGemma+1

Trojan Detection Challenge 2023SaTML CTF 2024MCPBench+7

AI Security· Added 5 Oct 2026, published 1 Oct 2026

x.comtool🛡️ Security

texas actual (@texasactualUA) on X

A tweet highlights osinteuropetracker.com, an OSINT tracker built to map known and suspected Russian sabotage operations across the European Union. The tool is shared as a practical way for analysts to monitor and visualize ongoing hybrid-threat incidents attributed to Russia in EU countries.

OSINT Europe Tracker

Russia

OSINT, Threat Intel· Added 3 Oct 2026, published 1 Oct 2026

nextgov.comarticle🧠 AI

Tech bills of the week: Creating an AI-focused agency, reviewing AI-assisted cyber attacks and more

A weekly congressional tracker detailing multiple new AI bills: a Casar/Sanders proposal to create a Department of Artificial Intelligence and pause advanced AI development pending a ban on artificial superintelligence; Markey's Cybersecurity and AI Board of Investigations modeled on the NTSB to probe AI-driven cyberattacks (citing an OpenAI system breaching Hugging Face and an Australian health database); Bennet/Welch's Federal Digital Commission expansion for frontier model pre-certification and civil penalties; AI 'kill switch' mandates from Kean and Kennedy; Kelly's AI Horizon Fund taxing tech profits to fund worker transition programs; a bipartisan FTC transparency bill from Coons, Britt, Schatz and Lankford; Bonamici's education/workforce AI framework; and two Barrett bills on VA AI transparency and human review of AI-assisted disability claims.

OpenAIHugging FaceSen. Ed Markey+16

ai-policy· Added 26 Sep 2026, published 25 Sep 2026

thehackernews.comadvisory🛡️ Security

Cisco Warns of New Zero-Day ISE Auth Bypass (CVSS 10.0) Exploited in Active Attacks

Cisco disclosed CVE-2026-76460 (CVSS 10.0), an unauthenticated API authentication bypass in Identity Services Engine (ISE) and ISE-PIC that is under active exploitation and has been added to CISA's KEV catalog with a federal patch deadline of September 19, 2026; successful exploitation can yield root command execution, and Cisco provides log-based IOC detection guidance since there is no workaround. The same disclosure batch includes 77 new CVEs, 41 in ISE and 28 in Secure Firewall (ASA/FTD/FMC), covering authenticated RCE, SQL injection, XXE, command injection, and additional REST API auth bypasses, plus a separately exploited Secure Email Gateway flaw (CVE-2026-76461, CVSS 9.8).

CVSSCISA KEV

CVE-2026-76460CVE-2026-76461CVE-2026-20176+48

AppSec, Identity & Access· Added 22 Sep 2026

arxiv.orgpaper🛡️ Security

ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack

ReasAlign is a model-level safety alignment technique that defends LLM agents against indirect prompt injection by adding structured reasoning steps to detect conflicting instructions embedded in external data and preserve the user's original task intent. It also uses a test-time scaling mechanism with a preference-optimized judge model to score and select the best reasoning trajectory. On the CyberSecEval2 benchmark it reports 94.6% utility with only 3.6% attack success rate, substantially outperforming Meta SecAlign, which scores 56.4% utility with a 74.4% attack success rate.

LLM

Meta SecAlignCyberSecEval2

AI Security· Added 22 Sep 2026

arxiv.orgpaper🛡️ Security

AI Agents May Always Fall for Prompt Injections (Abdelnabi & Bagdasarian)

This arXiv paper by Abdelnabi and Bagdasarian argues that the dominant prompt-injection defense paradigm — data/instruction separation — fails to catch attacks built on contextual manipulation and also breaks legitimate agent behavior. The authors reframe prompt injection through Contextual Integrity (CI), a privacy theory judging whether information flows comply with contextual norms, and construct scenarios where attackers misrepresent flows, manipulate norms, or mix multiple flows to bypass defenses. They derive an impossibility result: any adversary can construct a context making a blocked flow look legitimate, or any defender who tightens norms enough will block genuinely legitimate flows, and propose CI-aware alignment as a principled path forward for frontier autonomous agents.

LLM

Contextual IntegritySahar AbdelnabiEugene Bagdasarian

AI Security· Added 18 Sep 2026

endorlabs.comarticle🛡️ Security

Common C/C++ Vulnerabilities: A Practical Guide to Prevention | Blog | Endor Labs

Endor Labs guide to C/C++ memory-safety and input-handling vulnerabilities — buffer overflow (CWE-787/120/121), use-after-free (CWE-416), null pointer dereference (CWE-476), integer overflow (CWE-190), and format string bugs (CWE-134) — with vulnerable/fixed code snippets for each. It surveys detection tooling (Coverity, CodeQL, Clang Static Analyzer, AFL++/libFuzzer with ASan/UBSan, OSS-Fuzz) and argues that build-system complexity (Bazel, CMake, Conan, vcpkg) and high SAST false-positive rates make reachability analysis necessary, closing with a pitch for Endor Labs' AURI reachability engine.

Endor LabsCodeQLAURI+1

CWE-787CWE-416CWE-476+4

AppSec, Learning· Published and added 11 Sep 2026

blog.talosintelligence.comwriteup🛡️ Security

UAT-10147: Chinese-speaking adversary integrates agentic AI into post-compromise operations

Cisco Talos details UAT-10147, a Chinese-speaking cybercrime group exploiting one-day vulnerabilities in Windows/Linux web servers to deploy BadIIS, QuasarRAT, NoodleRAT, and SPECTRE implants, while also integrating agentic AI tools (PentestGPT, DeepAudit, and AI-orchestrated ysoserial workflows) to generate exploit playbooks, automate ASP.NET ViewState deserialization RCE, validate exploit success, and run reconnaissance/exfiltration end to end. Talos recovered AI-generated Python scripts and a findings log from the actor's C2 open directory showing semi-autonomous exploit refinement, OOB callback verification via webhook.site, and privilege escalation via SeImpersonatePrivilege/Potato exploits — evidence of a shift from AI-assisted scripting toward agentic offensive orchestration.

MetasploitysoserialPentestGPT+3

CVE-2022-0995CVE-2021-3156CVE-2015-5287+21

Threat Intel, AI Security, Offensive Security· Added 24 Aug 2026, published 20 Aug 2026

github.comrepo🛡️ Security

Argo

Argo is an LLM-native static application security testing tool that drives Claude Code, Codex, Gemini, or local models (via Ollama/LM Studio) as an AI analyst to audit source code, extract security invariants, and produce reviewable vulnerability reports with optional patch generation and ASan-verified proof-of-concept crashes. It positions itself as a complement to rule-based SAST tools like CodeQL and Semgrep, targeting logic/authorization bugs that fixed patterns miss, and has been used to find real, disclosed vulnerabilities across 15 audited open-source projects (53 PRs, 2 CVEs). It supports two modes — general code audit and bug-bounty triage with scope-enforced, read-only, opt-in live verification guardrails.

Claude CodeCodexGemini+3

AppSec, AI Security· Added 3 Sep 2026, published 18 Jul 2026

socket.devwriteup🛡️ Security

Socket: Operation Muck and Load

Socket details "Operation Muck and Load," a campaign starting with a malicious Go module (github.com/kaleidora/dnsub-scanning-tool) that impersonates a DNS scanner but launches hidden PowerShell to fetch and decode a multi-layer, XOR-encrypted loader. The loader resolves encrypted payload locations from public dead drops (Pastebin, GitHub, YouTube, Instagram, Telegram, Google Docs), retrieves a password-protected .7z archive masquerading as Microsoft Photos, and deploys AsyncRAT/Quasar/Remcos-style RATs and Vidar infostealer. Pivoting from the module, Socket uncovered 222 GitHub repositories across 190 accounts using automated force-push workflows tied to a single email (ischhfd83@rambler.ru) to fake activity and credibility, some directly hosting Vidar, XMRig/BitMiner, and trojan loaders.

GoGitHubGitHub Actions+3

ischhfd83@rambler.ruAsyncRATQuasar+9

Supply Chain, Threat Intel, Malware & RE· Published and added 16 Jul 2026

github.compaper🛡️ Security

WSO2 Trusted AI Governance

WSO2 CTO Asanka Abeysinghe's architectural thesis argues that agentic AI systems break specification-based governance and instead require a control system spanning discovery, first-class agent identity and delegation, parameter-aware boundary authorization, runtime safety (prompt injection, jailbreaks, tool misuse, data exfiltration), deliberate human oversight, centrally-authored/distributedly-enforced policy, evidentiary observability, and economic (cost/budget) controls. It distinguishes inline governance (embedded in agent code) from infrastructure-enforced governance (gateways, proxies, service meshes, model/API gateways) and proposes a control-plane/data-plane split as the load-bearing pattern, referencing EU AI Act, NIST AI RMF, ISO 42001, and MCP registries as systems of record.

Model Context Protocol

EU AI ActNIST AI RMFISO 42001+2

AI Security, GRC· Added 3 Sep 2026, published 14 Jul 2026

blog.trailofbits.comwriteup🛡️ Security

GPT-5.5-Cyber built a zlib fuzzing lab in a day

Trail of Bits' Patch the Planet initiative (a collaboration with OpenAI pairing engineers with 30+ open-source projects) had GPT-5.5-Cyber, driven through Codex's /goal command, autonomously build a full fuzzing lab against zlib in a single day. Without step-by-step guidance, the model wrote ASan/UBSan-instrumented harnesses across a dozen entrypoints (inflate, inflateBack, uncompress2, gzFile, MiniZip, puff, blast, infback9, gzjoin, gzappend), used compile-time variant builds to reach hidden code paths, repurposed edge-case tests as seed corpus, and applied strict reportability discipline to reject unreachable crashes while surfacing several findings now under coordinated disclosure. The report argues this collapses the expertise barrier that historically kept bespoke fuzzing campaigns out of reach for low-skill attackers while also acting as a major force multiplier for defenders/researchers.

zlibCodexOpenAI+1

Patch the PlanetGPT-5.5-Cyber

AI Security, Offensive Security, AppSec· Added 3 Sep 2026, published 2 Jul 2026

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