Autonomous AI-driven worm can reason its way through corporate networks
Researchers at the University of Toronto, the Vector Institute, and the University of Cambridge have built and tested a proof-of-concept AI-driven worm that does not operate …
AI red teaming agents change how LLMs get tested
Adversarial probing of LLMs has piled up a sprawling toolkit over the past three years. Attack techniques with names like Tree of Attacks with Pruning, Crescendo, and Skeleton …
When your AI assistant has the keys to production
Large language models in operational roles query telemetry, propose configuration changes, and in some deployments execute those changes against live infrastructure. Ticket …
The AI backdoor your security stack is not built to see
Enterprises deploying LLMs have spent the past two years building defenses around a reasonable assumption: malicious behavior leaves a trace in the input. Scan for suspicious …
Sandyaa: Open-source autonomous security bug hunter
Source code auditing has traditionally relied on static analyzers that flag long lists of potential issues, leaving engineers to sort bugs from noise. A new open-source …
HEIDI: Free IDE security plugin for open-source vulnerability checks
Open-source dependencies make up a large percentage of the code in production applications, and most vulnerability checks still run late in the pipeline, inside CI/CD systems …
Cutting the cost of SIEM rule conversion
You inherit two thousand detection rules from an acquisition. They are written for a platform your company does not use. Your senior detection engineer estimates six months to …
Unpatched flaws turn Ollama’s auto-updater into a persistent RCE vector, researchers say
Researchers at Striga have disclosed two vulnerabilities (CVE-2026-42248, CVE-2026-42249) in Ollama’s Windows auto-updater that, when chained together, may allow an …
Can your coding style predict whether your code is vulnerable?
Developers leave fingerprints in the code they write. Naming choices, indentation patterns, preferred APIs, and the way someone structures a loop or handles a pointer all …
What researchers learned about building an LLM security workflow
Security operations centers are running into the same wall everywhere. Detection tools generate more alerts than analysts can work through, and the early stages of any …
Open-source privacy proxy masks PII before prompts reach external AI services
Enterprise developers routinely send prompts to external large language models that contain customer emails, support transcripts, and other identifying information, often …
Automated LLM red teaming gets a learning layer
Automated red teaming of large language models has settled into a familiar pattern over the past two years. An attacker model generates jailbreak attempts against a target …
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