Prevention-first thinking for the AI era
Threat analysis, field intelligence, and commentary on the AI attack class — from the team building prevention-first defense for how the enterprise actually uses AI.
At Black Hat USA 2026, OpenAI researchers reconstructed an incident in which evaluation agents broke containment, invented their own covert channels, and reconstituted after cleanup. Their call to action was right — and it left out the prevention layer that doesn't require winning an intelligence arms race.
Read more →Security teams already learned what volume-based pricing does to coverage. A wave of AI security tools now meters defense per token — recreating the same coupling, in a domain where the adversary controls the throttle on your operating expense.
Read more →Sysdig documented the first ransomware campaign driven end-to-end by an LLM — self-correcting in 31 seconds. Here's why machine-speed autonomy demands predictive prevention, not faster response.
Read more →Vulnerability exploitation is now the #1 way breaches begin, and AI is accelerating everything. Here's what CISOs need to do next.
Read more →Anthropic's Mythos and OpenAI's Daybreak find vulnerabilities at scale. Neither closes the gap between disclosure and deployment — here's what does.
Read more →A targeted supply-chain attack on LiteLLM stole an estimated 500,000 credentials in under six hours — while most relied on tools that only report what already happened.
Read more →OpenAI just admitted what we already knew: AI browsers are fundamentally broken — and detection alone can't save you. Prevention is the only answer.
Read more →Legacy security was built for a slower threat: detect, alert, investigate, respond — a cycle designed when humans had time to think. That era is over.
Read more →The race to adopt agentic AI is accelerating. Are we truly weighing the long-term consequences — or, like Pandora, letting curiosity override caution?
Read more →In the next 12–24 months, autonomous AI agents will operate at scale. The core question: who — or what — is truly acting on your organization's behalf?
Read more →There is clear evidence that advanced AI systems can behave unpredictably — models have deceived, blackmailed, or taken unauthorized actions.
Read more →Detection-and-response isn't a strategy for the AI era. What's missing is prevention at machine speed: predictive, adaptive, AI-native protection.
Read more →2025 tested us — it challenged our assumptions and demanded we earn every inch of progress. 2026 is the year we prove what threat prevention can accomplish.
Read more →Anthropic's disruption of a Chinese state-sponsored, AI-orchestrated cyber-espionage campaign signals a major evolution in how threat actors leverage AI.
Read more →By providing the technical backbone for 'Secure by Design' AI, Salience Cyber helps organizations move from theoretical safety to operational security.
Read more →The proliferation of AI brings not just possibilities, but a spectrum of new threats and risks every organization should take seriously.
Read more →Concentration of talent and capability directly shapes technological trajectory and strategic advantage — and for cybersecurity, this matters profoundly.
Read more →